# StepStone.de Jobs Scraper 💰 $1.50/1K — Salary & Skills (`blackfalcondata/stepstone-de-scraper`) Actor

Scrape stepstone.de for German job listings — salary range, skills, employment type, company, location. Half the per-result price of leading alternatives ($1.50/1K, no monthly fee), with zero timeouts on the last 30 days. Filter by Bundesland, radius, or 16 standard filters.

- **URL**: https://apify.com/blackfalcondata/stepstone-de-scraper.md
- **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 90 total users, 49 monthly users, 91.6% runs succeeded, 2 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $1.50 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

### What does StepStone.de Jobs Scraper do?

StepStone.de Jobs Scraper extracts structured job data from [stepstone.de](https://stepstone.de) — including salary data, apply URLs, company metadata, full descriptions, location data, skill tags, and ratings and reviews. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions and company metadata) where the source provides them.

**New to Apify?** [Sign up free](https://console.apify.com/sign-up?fpr=1h3gvi) and use the included $5 monthly platform credit to test this actor.

### Key features

<!-- KEY_FEATURES:START -->
- **♻️ Incremental mode** — recurring runs emit only NEW / UPDATED / REAPPEARED records — UNCHANGED and EXPIRED are opt-in. First run builds the baseline; subsequent runs emit and charge only for the diff. Pair with notifications for daily "new jobs" alerts to your hiring team. Saves 80–95% on daily monitoring.
- **🔔 Notifications** — Telegram, Slack, Discord, WhatsApp Cloud API, generic webhook — out of the box. Pair with incremental + `notifyOnlyChanges` for daily "new Stepstone jobs" pings to your hiring channel.
- **🔗 Paste-mode** — paste any stepstone.de URL straight from your browser — single-job pages, search-results URLs, or category SEO URLs. Build the search you want in the UI, copy the URL, paste it here.
- **🎯 Batch searches** — batch `["python developer", "data engineer", "ML engineer"]` in one run — one dedup state across all searches, single dataset, one Actor-Start charge instead of N.
- **📦 Compact mode** — AI-agent and MCP-friendly compact payloads with core fields only — pipe straight into your ATS, salary-benchmarking tool, or LLM context without parsing extras.
- **✂️ Description truncation** — cap description length with `descriptionMaxLength` to control LLM prompt cost and dataset size — set 0 for full descriptions, or any char-limit to trim.
- **📌 Change classification** — each record carries a `changeType` of NEW / UPDATED / UNCHANGED / REAPPEARED / EXPIRED. Default emits NEW + UPDATED + REAPPEARED; opt into the others with `emitUnchanged` / `emitExpired`. Repost detection flags previously-expired listings that come back.
- **📤 Export anywhere** — Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …).
<!-- KEY_FEATURES:END -->

### What data can you extract from stepstone.de?

Each result includes Core listing fields (`jobId`, `harmonisedId`, `legacyJobId`, `title`, `location`, `postCode`, `textSections`, and `textSnippet`, and more), detail fields when enrichment is enabled (`description`, `descriptionHtml`, `descriptionMarkdown`, `descriptionLength`, and `locationDetail`), apply information (`directApply` and `applyUrl`), and company metadata (`company`, `companyId`, `companyLogo`, and `companyUrl`). In standard mode, all fields are always present — unavailable data points are returned as `null`, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions and company metadata where the source provides them.

### Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

- **`query`** — Job search keywords (e.g. "software engineer"). Use JSON array ["query1", "query2"] for multi-query.
- **`location`** — City or region (e.g. "Berlin", "München"). Use JSON array for multi-location.
- **`startUrls`** — Direct StepStone search or job detail URLs. Overrides query/location when provided.
- **`bundesland`** — Filter by German federal state. Overrides location when set.
- **`sort`** — Sort order for results (default: `"relevance"`)
- **`age`** — Only show jobs posted within this many days (1, 3, 7, or 14)
- **`remote`** — Only show remote/home office positions
- **`radius`** — Search radius around location in km (requires location)
- **`minSalary`** — Minimum annual salary filter (EUR)
- **`contractType`** — Filter by contract/employment type
- **`experience`** — Filter by experience level
- **`workType`** — Filter by work schedule (full-time / part-time)
- ...and 32 more parameters

### Input examples

**Basic search** — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

```json
{
  "mode": "full",
  "query": "software engineer",
  "maxResults": 50
}
````

**Filtered search** — Narrow results with advanced filters — only matching jobs are returned.

→ Same field set as basic search; fewer, more relevant rows.

```json
{
  "query": "software engineer",
  "contractType": "FULL_TIME",
  "workType": "FULL_TIME",
  "maxResults": 100
}
```

**Incremental tracking** — Only emit jobs that changed since the previous run with this `stateKey`.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set `emitUnchanged: true` to include unchanged records as well.

```json
{
  "query": "software engineer",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "software-engineer-tracker"
}
```

**Compact filtered output** — Combine filters with compact mode for a lightweight AI-agent or MCP data source.

→ Core fields only — ideal for piping into LLMs or downstream tools without token overhead.

```json
{
  "query": "software engineer",
  "contractType": "FULL_TIME",
  "workType": "FULL_TIME",
  "maxResults": 50,
  "compact": true
}
```

### Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

### Example job record

```json
{
  "jobId": "88ee90e7097ee4e626590ecf654b59f25b9b34bfba7a245556330d474e6c3cab",
  "harmonisedId": "C4E3DE2A-2237-4E34-B09C-97FE01EC50FB",
  "legacyJobId": 13510716,
  "title": "Software Engineer (w/m/d)",
  "company": "Capgemini Deutschland GmbH",
  "companyId": 2692,
  "companyLogo": "https://www.stepstone.de/upload_DE/logo/9/logoCapgemini-Deutschland-GmbH-2692DE-2601160927.gif",
  "companyUrl": "https://www.stepstone.de/cmp/de/Capgemini-Deutschland-GmbH-2692/jobs.html",
  "companyWebsite": "http://www.capgemini.com/de-de/karriere/",
  "companyEmployees": "10000+",
  "companyIndustries": [
    "IT & Tech"
  ],
  "companyBenefits": [],
  "companyAddress": "Olof-Palme-Str. 14, München",
  "location": "Berlin",
  "postCode": null,
  "description": "Über uns\nCapgemini ist ein globaler Partner für die KI-gestützte Geschäfts- sowie Technologietransformation.&nbsp;Das Unternehmen schafft messbaren Mehrwert für seine Kunden, indem es die Zukunft von...",
  "descriptionHtml": "<h3>Über uns</h3>\n<p>Capgemini ist ein globaler Partner für die KI-gestützte Geschäfts- sowie Technologietransformation.&nbsp;Das Unternehmen schafft messbaren Mehrwert für seine Kunden, indem es die...",
  "descriptionMarkdown": "### Über uns\n\nCapgemini ist ein globaler Partner für die KI-gestützte Geschäfts- sowie Technologietransformation. Das Unternehmen schafft messbaren Mehrwert für seine Kunden, indem es die Zukunft von...",
  "descriptionLength": 6156,
  "textSections": [
    {
      "type": "introduction",
      "title": "Über uns",
      "content": "<p>Capgemini ist ein globaler Partner für die KI-gestützte Geschäfts- sowie Technologietransformation.&nbsp;Das Unternehmen schafft messbaren Mehrwert für seine Kunden, indem es die Zukunft von Organisationen gestaltet und im Zusammenspiel von KI, Technologie sowie dem Mensch Realität werden lässt. Seit fast 60 Jahren steht Capgemini für Verantwortung wie auch Vielfalt und beschäftigt 420.000 Mitarbeitende in über 50 Ländern. Das End-to-End-Leistungsspektrum gründet auf einer umfangreichen Branchenexpertise, einem starken Partner-Ökosystem sowie Kompetenzen in den Bereichen Strategie, Technologie, Design, Engineering und Operations. Die Gruppe erzielte 2024 einen weltweiten Umsatz von 22,1 Milliarden Euro.</p>\n"
    },
    {
      "type": "description",
      "title": "Deine Rolle",
      "content": "<p>Du möchtest den gesamten Software-Entwicklungsprozess verstehen, geschäftskritische Individualsoftware auf höchstem Niveau gestalten? Du siehst AI als wesentliche Technologie für die Softwareentwicklung der Zukunft und willst AI-Lösungen mitgestalten? Du suchst eine Zukunft im Software Engineering in einem global agierenden Unternehmen? Dann werde als Software Engineer (w/m/d) Teil unseres Teams!</p>\n\n<p>Diese Stelle ist in Vollzeit sowie in Teilzeit zu besetzen.</p>\n\n<ul>\n\t<li>Zeige deine Coding Skills mit Technologien wie Spring Boot, Docker, Kubernetes, Angular, Cloud und Microservices – oder lerne bei uns wie es geht.</li>\n\t<li>Gestalte die Zukunft des Software Engineerings im AI-Zeitalter mit, nutze innovative AI-Entwicklungswerkzeuge und entwickle mit uns AI-basierte Lösungen für unsere Kunden, die Mehrwert stiften.</li>\n\t<li>Entdecke alle Facetten des Software Engineerings von der Planung bis zum Betrieb: Konzepte, Implementierung, Testen und Kundenkontakt – in agilen Softwareprojekten für Branchenführer.</li>\n\t<li>Bei uns zählt, was man sagt, nicht wer es sagt – durch unsere flachen Hierarchien bekommst du schnell die Freiheit, selbst zu gestalten und Verantwortung zu übernehmen.</li>\n\t<li>Im Team (weiter-)entwickeln – Wir setzen auf die Stärke der Teamarbeit und profitieren von internen Communities.</li>\n</ul>\n"
    },
    {
      "type": "profile",
      "title": "Dein Profil",
      "content": "<ul>\n\t<li>Dein abgeschlossenes Studium in Informatik, Wirtschaftsinformatik oder einem anderen MINT-Fach hat dich neugierig auf die Softwareentwicklung gemacht.</li>\n\t<li>Du konntest bereits neben und während deines Studiums gute Kenntnisse mit Java oder Python aufbauen und bist bereit, weitere Skills zu erlernen.</li>\n\t<li>Du bist offen dafür, AI-basierte Tools wie Github Copilot in der Softwareentwicklung wertstiftend einzusetzen.</li>\n\t<li>Du bringst ein grundlegendes Verständnis für die Möglichkeiten und Grenzen von AI mit. Idealerweise konntest du bereits erste praktische Erfahrung mit AI-Frameworks wie LangChain, LangGraph, Pydantic.AI oder crew.ai sammeln.</li>\n\t<li>Dein hohes Qualitätsbewusstsein und agiles Mindset verbindest du mit Kommunikationsstärke und Teamplayer-Mentalität, du hast Freude daran Wissen aufzubauen und zu teilen.</li>\n\t<li>Du hast sehr gute Deutsch- und Englischkenntnisse.</li>\n</ul>\n"
    },
    {
      "type": "benefits",
      "title": "Was du bei uns schätzen wirst",
      "content": "<ul>\n\t<li>Wir legen großen Wert auf die&nbsp;<strong>Vereinbarkeit von Arbeit und Privatleben</strong>. Deshalb hast du bei uns die Möglichkeit, hybrid &nbsp;aus dem Office, von zu Hause oder an anderen Capgemini Standorten in Deutschland zu arbeiten. Gleichzeitig bietet Capgemini dir&nbsp;<strong>flexible Arbeitszeitmodelle</strong>.</li>\n\t<li>Wir bieten dir vielfältige Möglichkeiten zur&nbsp;<strong>Weiterentwicklung</strong>: Unser Karrieremodell ermöglicht es dir, deine Karriere so zu lenken, wie es für dich am besten ist und unsere Leadership Programme unterstützen dich dabei. Mit zahlreichen Angeboten auf unserer Lernplattform hast du zudem jederzeit die Möglichkeit, deine Skills auszubauen oder dir neue anzueignen.</li>\n\t<li><strong>Unsere Communitys</strong>: Wir bieten dir aktive Mitarbeiternetzwerke, in denen du dich sowohl fachlich als auch persönlich mit Kolleg*innen aus aller Welt austauschen kannst. Zudem fördern unsere Communitys Vielfalt, Diversität und Inklusion am Arbeitsplatz.&nbsp;</li>\n</ul>\n\n<p>Deine Benefits</p>\n\n<ul>\n\t<li>Flexible Arbeitszeit- und Auszeitmodelle</li>\n\t<li>Mobiles Arbeiten – auch hybrid von Zuhause aus</li>\n\t<li>Jobfahrrad-Programm</li>\n\t<li>Mobilitätsbudget</li>\n\t<li>Vielfältiges Weiterbildungsangebot</li>\n\t<li>Internationales Netzwerk</li>\n\t<li>Kooperation mit dem pme Familienservice</li>\n\t<li>Deferred Compensation – im Alter gut abgesichert</li>\n\t<li>Verlängerte Entgeltfortzahlung im Krankheitsfall</li>\n\t<li>Gesundheitsangebote</li>\n\t<li>Attraktiver Arbeitsplatz für Menschen mit Handicap</li>\n\t<li>Kontakthalteprogramm fareWelcome!</li>\n\t<li>Work-life-balance</li>\n\t<li>Mitarbeiterrabatte</li>\n\t<li>Team- und Sportevents</li>\n</ul>\n\n<p><em>Sämtliche in der Anzeige genannten Nebenleistungen geben lediglich einen ersten Überblick ohne Anerkennung einer Rechtspflicht. Sie richten sich nach den jeweils gültigen Betriebsvereinbarungen, Policies, betrieblichen Regelungen und Anspruchsvoraussetzungen zum Zeitpunkt des Eintritts in das Unternehmen.&nbsp;</em></p>\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;</p>\n"
    },
    {
      "type": "additionalInformation",
      "title": "Weitere Informationen",
      "content": "<p>Für den ersten Schritt in Richtung Zukunft brauchst du nur drei Minuten Zeit und deinen aktuellen Lebenslauf. Du möchtest weitere Dokumente mit uns teilen? Mit wenigen Klicks kannst du sie deiner Bewerbung optional hinzufügen.</p>\n\n<p>Bei Fragen steht dir&nbsp;<strong>Veit Wankmüller</strong>&nbsp;unter&nbsp;<a href=\"mailto:career.de@capgemini.com?subject=%20Frage%20an%20Capgemini\" rel=\"nofollow\"><strong>career.de@capgemini.com</strong></a>&nbsp;zur Seite.</p>\n\n<p>Diese Anzeige ist online, solange die Stelle verfügbar ist. Wir freuen uns auf deine aussagekräftige Online-Bewerbung. Im Optimalfall dauert der gesamte Bewerbungsprozess vom Eingang deiner Bewerbung bis zum Vertragsangebot&nbsp;<strong>weniger als zwei Wochen</strong>. Bitte habe Verständnis, dass wir keine postalischen Bewerbungen berücksichtigen und Originalunterlagen nicht zurückgeschickt werden können.</p>\n\n<p>Capgemini lebt&nbsp;<strong>Vielfalt&nbsp;</strong>am Arbeitsplatz. Diversität sorgt in unserem Unternehmen für Inspiration und Innovation. Wir freuen uns besonders über Bewerbungen von qualifizierten Talenten, unabhängig von Herkunft, Nationalität, Geschlecht, Hautfarbe, ethnischer und sozialer Herkunft, Religion, Alter, Behinderung, sexueller Orientierung und Lebensphase.</p>\n\n<p>Mehr Infos</p>\n\n<p>Erfahre hier mehr zu unserem&nbsp;<a href=\"https://www.capgemini.com/de-de/<mark id=\" rel=\"nofollow\">Bewerbungsprozess</a>&nbsp;und erhalte Tipps für deine Bewerbung. Steig jetzt bei Capgemini ein und profitiere von unseren&nbsp;<a href=\"https://www.capgemini.com/de-de/<mark id=\" rel=\"nofollow\">zahlreichen Benefits</a>. Mehr Informationen zu den&nbsp;<a href=\"https://www.capgemini.com/de-de/<mark id=\" rel=\"nofollow\">IT-Berufsfeldern</a>&nbsp;bei Capgemini und unseren&nbsp;<a href=\"https://www.capgemini.com/de-de/<mark id=\" rel=\"nofollow\">Standorten in Deutschland</a>&nbsp;findest du auf unserer Karriereseite:&nbsp;<a href=\"https://www.capgemini.com/de-de/<mark id=\" rel=\"nofollow\">capgemini.com/karriere</a></p>\n"
    }
  ],
  "textSnippet": "Dann werde als <strong>Software Engineer</strong> (w/m/d) Teil unseres Teams! Du möchtest den gesamten <strong>Software</strong>-Entwicklungsprozess verstehen, geschäftskritische <strong>Individualsof...",
  "textSnippetCleaned": "Dann werde als Software Engineer (w/m/d) Teil unseres Teams! Du möchtest den gesamten Software -Entwicklungsprozess verstehen, geschäftskritische Individualsoftware auf höchstem Niveau gestalten? Du s...",
  "salaryText": null,
  "salaryMin": 52000,
  "salaryMax": 72000,
  "salaryCurrency": "€",
  "salaryPeriod": "Jahr",
  "unifiedSalary": {
    "min": null,
    "max": null,
    "currency": null,
    "period": null,
    "salaryAvailable": true,
    "salaryType": null
  },
  "ceSalary": {
    "isPredicted": true,
    "min": 52000,
    "max": 72000,
    "period": "Jahr",
    "currency": "€",
    "currencyIso": "EUR"
  },
  "locationDetail": {
    "city": "Berlin",
    "postalCode": "",
    "country": "de",
    "lat": null,
    "lng": null
  },
  "workFromHome": false,
  "workFromHomeLabel": null,
  "employmentType": "FULL_TIME",
  "directApply": true,
  "industry": "IT, IT-Softwareentwicklung",
  "skills": [],
  "labels": [],
  "isSponsored": false,
  "isTopJob": false,
  "isPartnershipJob": false,
  "isAnonymous": false,
  "isHighlighted": false,
  "companyRating": {
    "average": 4.36771,
    "count": 617
  },
  "partnership": {
    "isPartnershipJob": false,
    "isCrossPosted": false,
    "sourceSiteFriendlyName": null
  },
  "metaData": {
    "positionOnPage": 1,
    "positionAbsolute": 1
  },
  "section": "main",
  "datePosted": "2026-04-15T13:03:04+02:00",
  "postedDaysAgo": 0,
  "publishFromDate": null,
  "publishToDate": null,
  "validThrough": null,
  "canonicalUrl": "https://www.stepstone.de/stellenangebote--Software-Engineer-w-m-d-Berlin-Capgemini-Deutschland-GmbH--13510716-inline.html?rltr=1_1_25_seorl_m_0_0_0_0_0_0",
  "portalUrl": "https://www.stepstone.de",
  "applyUrl": null,
  "sourceUrl": "https://www.stepstone.de/jobs/software%20engineer/in-Berlin",
  "sourceDomain": "stepstone.de",
  "searchQuery": "software engineer",
  "scrapedAt": "2026-04-15T19:38:49.454Z",
  "detailFetched": true,
  "contentQuality": "full",
  "contentHash": "f7112c5734a7d45e61f57ebcde98332676dc9d5b8f6f32695903acf8e87d4297",
  "similarJobCount": 10,
  "isRepost": false,
  "originalPublishDate": null,
  "repostOfId": null,
  "repostDetectedAt": null,
  "changeType": "NEW",
  "trackedHash": "a9fca2b596f0d10e00ead1df3b1355177437823afe3e2e25f4da02e486322e6b",
  "firstSeenAt": "2026-04-15T19:38:49.454Z",
  "lastSeenAt": "2026-04-15T19:38:49.454Z",
  "previousSeenAt": null,
  "expiredAt": null,
  "stateKey": "live-verify-1776281897067"
}
```

### Incremental fields

When `incremental: true`, each record also carries:

- `changeType` — one of `NEW`, `UPDATED`, `UNCHANGED`, `REAPPEARED`, `EXPIRED`. Default output covers `NEW` / `UPDATED` / `REAPPEARED`; set `emitUnchanged: true` or `emitExpired: true` to opt into the others.
- `firstSeenAt`, `lastSeenAt` — ISO-8601 timestamps tracking the listing across runs.
- `isRepost`, `repostOfId`, `repostDetectedAt` — populated when a new listing matches the tracked content of a previously expired one. Set `skipReposts: true` to drop detected reposts from the output.

### How to scrape stepstone.de

1. Go to [StepStone.de Jobs Scraper](https://apify.com/blackfalcondata/stepstone-de-scraper?fpr=1h3gvi) in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set `maxResults` to control how many results you need.
4. Enable `includeDetails` if you need full descriptions, company data.
5. Click **Start** and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

### Use cases

- Extract job data from stepstone.de for market research and competitive analysis.
- Track salary trends across regions and categories over time.
- Monitor new and changed listings on scheduled runs without processing the full dataset every time.
- Auto-apply or feed apply URLs into your ATS / hiring pipeline.
- Research company hiring patterns, employer profiles, and industry distribution.
- Use structured location data for regional analysis, mapping, and geo-targeting.
- Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
- Export clean, structured data to dashboards, spreadsheets, or data warehouses.
- Analyze skill demand across listings using structured skill tags.
- Collect ratings and reviews for reputation monitoring and benchmarking.

### How much does it cost to scrape stepstone.de?

StepStone.de Jobs Scraper uses [pay-per-event](https://docs.apify.com/platform/actors/paid-actors/pay-per-event) pricing. You pay a small fee when the run starts and then for each result that is actually produced.

- **Run start:** $0.005 per run
- **Per result:** $0.0015 per job record

Example costs:

- 10 results: **$0.02**
- 25 results: **$0.04**
- 100 results: **$0.15**
- 200 results: **$0.3**
- 500 results: **$0.76**

#### Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 200 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

| Churn rate | Full re-scrape run cost | Incremental run cost | Savings vs full re-scrape | Monthly cost after baseline |
|---|---:|---:|---:|---:|
| 5% — stable niche query | $0.30 | $0.02 | $0.28 (93%) | $0.60 |
| 15% — moderate broad query | $0.30 | $0.05 | $0.26 (84%) | $1.50 |
| 30% — high-volume aggregator | $0.30 | $0.10 | $0.21 (69%) | $2.85 |

Full re-scrape monthly cost at daily polling: $9.15. First month with incremental costs $0.89 / $1.75 / $3.06 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage (compute and proxies) is billed separately by Apify based on actual consumption. Incremental runs consume less on result processing, though fixed per-run overhead stays the same.

### FAQ

#### How many results can I get from stepstone.de?

The number of results depends on the search query and available listings on stepstone.de. Use the `maxResults` parameter to control how many results are returned per run.

#### Does StepStone.de Jobs Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

#### Can I integrate StepStone.de Jobs Scraper with other apps?

Yes. StepStone.de Jobs Scraper works with Apify's [integrations](https://apify.com/integrations?fpr=1h3gvi) to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

#### Can I use StepStone.de Jobs Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the [Apify API](https://docs.apify.com/api/v2). Client libraries are available for JavaScript, Python, and other languages.

#### Can I use StepStone.de Jobs Scraper through an MCP Server?

Yes. Apify provides an [MCP Server](https://apify.com/apify/actors-mcp-server?fpr=1h3gvi) that lets AI assistants and agents call this actor directly. Use compact mode, `descriptionMaxLength`, a single `descriptionFormat`, and `excludeEmptyFields` to keep payloads manageable for LLM context windows.

#### Is it legal to scrape stepstone.de?

This actor extracts publicly available data from stepstone.de. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

#### Your feedback

If you have questions, need a feature, or found a bug, please [open an issue](https://apify.com/blackfalcondata/stepstone-de-scraper/issues?fpr=1h3gvi) on the actor's page in Apify Console. Your feedback helps us improve.

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### Getting started with Apify

New to Apify? [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=1h3gvi) — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click **Start** — export results as JSON, CSV, or Excel

Need more later? [See Apify pricing](https://apify.com/pricing?fpr=1h3gvi).

# Actor input Schema

## `query` (type: `string`):

Job search keywords (e.g. "software engineer"). Use JSON array \["query1", "query2"] for multi-query.

## `location` (type: `string`):

City or region (e.g. "Berlin", "München"). Use JSON array for multi-location.

## `startUrls` (type: `array`):

Direct StepStone search or job detail URLs. Overrides query/location when provided.

## `bundesland` (type: `string`):

Filter by German federal state. Overrides location when set.

## `sort` (type: `string`):

Sort order for results

## `age` (type: `integer`):

Only show jobs posted within this many days (1, 3, 7, or 14)

## `remote` (type: `boolean`):

Only show remote/home office positions

## `radius` (type: `string`):

Search radius around location in km (requires location)

## `minSalary` (type: `integer`):

Minimum annual salary filter (EUR)

## `contractType` (type: `string`):

Filter by contract/employment type

## `experience` (type: `string`):

Filter by experience level

## `workType` (type: `string`):

Filter by work schedule (full-time / part-time)

## `companyId` (type: `integer`):

Filter by StepStone company ID (numeric)

## `language` (type: `string`):

Filter by job posting language (e.g., 'en', 'de')

## `applicationMethod` (type: `string`):

Filter by how to apply

## `excludeSponsored` (type: `boolean`):

Skip sponsored/promoted listings. Filters out items where isSponsored=true.

## `includeDetails` (type: `boolean`):

Fetch each job's detail page for full description, structured salary, company profile, and similar jobs. Slower but much richer data.

## `descriptionFormat` (type: `string`):

Which description formats to include in output.

## `maxResults` (type: `integer`):

Maximum total job listings to return. 0 = unlimited.

## `maxPages` (type: `integer`):

Maximum SERP pages per search source (25 jobs/page). Auto-raised when needed to satisfy Max Results — you usually don't need to change this.

## `compact` (type: `boolean`):

When true, each result contains only the most essential fields: jobId, title, company, location, salary, skills, url, description. Use in AI-agent and MCP workflows where token budgets matter.

## `descriptionMaxLength` (type: `integer`):

Truncate the description field to this many characters, appending '...' if truncated. 0 = no truncation. Pairs well with compact mode.

## `outputFields` (type: `array`):

Select subset of output fields. Supports dot notation: 'ceSalary.min'. If empty: all fields returned.

## `datasetName` (type: `string`):

Custom dataset name. Supports masks: {DATE} = YYYYMMDD, {TIME} = HHMMSS

## `mode` (type: `string`):

full = return all jobs found. incremental = only return new/changed jobs (requires stateKey).

## `incrementalMode` (type: `boolean`):

Track changes between runs. Emits NEW, UPDATED, EXPIRED records. Requires stateKey.

## `stateKey` (type: `string`):

Optional stable identifier for the tracked search universe. Leave empty to auto-derive a stable identifier from your search inputs — different keyword/location/filter combinations get isolated state automatically.

## `emitUnchanged` (type: `boolean`):

In incremental mode, also emit records that haven't changed since last run.

## `emitExpired` (type: `boolean`):

In incremental mode, also emit records no longer found on StepStone.

## `skipReposts` (type: `boolean`):

Exclude listings detected as reposts of previously seen jobs.

## `dedupStoreName` (type: `string`):

Named KV store for cross-run dedup. Same name across runs = only new jobs pushed.

## `dedupKey` (type: `string`):

Field used as unique key for dedup (default: jobId)

## `proxyConfiguration` (type: `object`):

Configure proxy settings. Default works for most use cases.

## `telegramToken` (type: `string`):

Telegram bot token from @BotFather. Required for Telegram notifications.

## `telegramChatId` (type: `string`):

Telegram chat or channel ID where alerts are sent (e.g. "-100123456789" for a private group, or "@yourchannel").

## `discordWebhookUrl` (type: `string`):

Discord incoming webhook URL. Get one from Server Settings → Integrations → Webhooks.

## `slackWebhookUrl` (type: `string`):

Slack incoming webhook URL. Create at api.slack.com/messaging/webhooks.

## `whatsappPhoneNumberId` (type: `string`):

WhatsApp Business phone number ID from Meta Business Manager (NOT the phone number itself — the numeric ID shown next to your business number). Free service-conversation messages within 24 hours of last user-initiated contact.

## `whatsappAccessToken` (type: `string`):

Meta Cloud API access token with `whatsapp_business_messaging` scope. Get a permanent token from a system user in Meta Business Manager.

## `whatsappTo` (type: `string`):

Recipient phone in E.164 format (e.g. +919876543210). Recipient must have messaged your business number within the last 24 hours — outside that window, free-form text is rejected by Meta.

## `webhookUrl` (type: `string`):

Generic webhook URL that receives a JSON POST with the full job payload + run metadata. Universal escape hatch for n8n / Make / Zapier / your own backend.

## `webhookHeaders` (type: `object`):

Optional headers (e.g. {"Authorization": "Bearer xyz"}) sent with the webhook POST.

## `notificationLimit` (type: `integer`):

Maximum number of jobs included in each notification message (1–20). Excess jobs are still in the dataset; notifications get a summary line.

## `notifyOnlyChanges` (type: `boolean`):

When Incremental Mode is on, only send notifications for NEW / UPDATED / REAPPEARED jobs. Has no effect outside incremental mode.

## `excludeEmptyFields` (type: `boolean`):

Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards.

## Actor input object example

```json
{
  "query": "software engineer",
  "location": "Berlin",
  "sort": "relevance",
  "excludeSponsored": false,
  "includeDetails": true,
  "descriptionFormat": "all",
  "maxResults": 5,
  "maxPages": 5,
  "compact": false,
  "descriptionMaxLength": 0,
  "mode": "full",
  "incrementalMode": false,
  "emitUnchanged": false,
  "emitExpired": false,
  "skipReposts": false,
  "dedupKey": "jobId",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "DE"
  },
  "notificationLimit": 5,
  "notifyOnlyChanges": false,
  "excludeEmptyFields": false
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "query": "software engineer",
    "maxResults": 5,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "DE"
    },
    "excludeEmptyFields": false
};

// Run the Actor and wait for it to finish
const run = await client.actor("blackfalcondata/stepstone-de-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "query": "software engineer",
    "maxResults": 5,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "DE",
    },
    "excludeEmptyFields": False,
}

# Run the Actor and wait for it to finish
run = client.actor("blackfalcondata/stepstone-de-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "query": "software engineer",
  "maxResults": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "DE"
  },
  "excludeEmptyFields": false
}' |
apify call blackfalcondata/stepstone-de-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=blackfalcondata/stepstone-de-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "StepStone.de Jobs Scraper 💰 $1.50/1K — Salary & Skills",
        "description": "Scrape stepstone.de for German job listings — salary range, skills, employment type, company, location. Half the per-result price of leading alternatives ($1.50/1K, no monthly fee), with zero timeouts on the last 30 days. Filter by Bundesland, radius, or 16 standard filters.",
        "version": "0.1",
        "x-build-id": "ySDkekDubcsEMksLC"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/blackfalcondata~stepstone-de-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-blackfalcondata-stepstone-de-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/blackfalcondata~stepstone-de-scraper/runs": {
            "post": {
                "operationId": "runs-sync-blackfalcondata-stepstone-de-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/blackfalcondata~stepstone-de-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-blackfalcondata-stepstone-de-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "query": {
                        "title": "🔍 Search Term(s)",
                        "type": "string",
                        "description": "Job search keywords (e.g. \"software engineer\"). Use JSON array [\"query1\", \"query2\"] for multi-query."
                    },
                    "location": {
                        "title": "📍 Location",
                        "type": "string",
                        "description": "City or region (e.g. \"Berlin\", \"München\"). Use JSON array for multi-location."
                    },
                    "startUrls": {
                        "title": "🔗 Start URLs",
                        "type": "array",
                        "description": "Direct StepStone search or job detail URLs. Overrides query/location when provided.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "bundesland": {
                        "title": "Federal State (Bundesland)",
                        "enum": [
                            "baden-wuerttemberg",
                            "bayern",
                            "berlin",
                            "brandenburg",
                            "bremen",
                            "hamburg",
                            "hessen",
                            "mecklenburg-vorpommern",
                            "niedersachsen",
                            "nordrhein-westfalen",
                            "rheinland-pfalz",
                            "saarland",
                            "sachsen",
                            "sachsen-anhalt",
                            "schleswig-holstein",
                            "thueringen"
                        ],
                        "type": "string",
                        "description": "Filter by German federal state. Overrides location when set."
                    },
                    "sort": {
                        "title": "🔀 Sort By",
                        "enum": [
                            "relevance",
                            "date",
                            "salary_low",
                            "salary_high"
                        ],
                        "type": "string",
                        "description": "Sort order for results",
                        "default": "relevance"
                    },
                    "age": {
                        "title": "Posted Within",
                        "minimum": 1,
                        "type": "integer",
                        "description": "Only show jobs posted within this many days (1, 3, 7, or 14)"
                    },
                    "remote": {
                        "title": "🏠 Remote Only",
                        "type": "boolean",
                        "description": "Only show remote/home office positions"
                    },
                    "radius": {
                        "title": "📡 Radius (km)",
                        "enum": [
                            "5",
                            "10",
                            "20",
                            "30",
                            "40",
                            "50",
                            "75",
                            "100",
                            "150",
                            "200"
                        ],
                        "type": "string",
                        "description": "Search radius around location in km (requires location)"
                    },
                    "minSalary": {
                        "title": "Minimum Salary",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Minimum annual salary filter (EUR)"
                    },
                    "contractType": {
                        "title": "📝 Contract Type",
                        "enum": [
                            "FULL_TIME",
                            "PART_TIME",
                            "CONTRACT",
                            "TEMPORARY",
                            "INTERNSHIP",
                            "APPRENTICESHIP",
                            "FREELANCE",
                            "MINI_JOB",
                            "WORKING_STUDENT",
                            "VOLUNTEER",
                            "THESIS",
                            "DUAL_STUDY"
                        ],
                        "type": "string",
                        "description": "Filter by contract/employment type"
                    },
                    "experience": {
                        "title": "Experience Level",
                        "enum": [
                            "no",
                            "required",
                            "executive"
                        ],
                        "type": "string",
                        "description": "Filter by experience level"
                    },
                    "workType": {
                        "title": "Work Type",
                        "enum": [
                            "FULL_TIME",
                            "PART_TIME"
                        ],
                        "type": "string",
                        "description": "Filter by work schedule (full-time / part-time)"
                    },
                    "companyId": {
                        "title": "Company ID",
                        "minimum": 1,
                        "type": "integer",
                        "description": "Filter by StepStone company ID (numeric)"
                    },
                    "language": {
                        "title": "🌐 Language",
                        "type": "string",
                        "description": "Filter by job posting language (e.g., 'en', 'de')"
                    },
                    "applicationMethod": {
                        "title": "Application Method",
                        "enum": [
                            "INTERNAL",
                            "EXTERNAL"
                        ],
                        "type": "string",
                        "description": "Filter by how to apply"
                    },
                    "excludeSponsored": {
                        "title": "Exclude Sponsored",
                        "type": "boolean",
                        "description": "Skip sponsored/promoted listings. Filters out items where isSponsored=true.",
                        "default": false
                    },
                    "includeDetails": {
                        "title": "📋 Include Full Details",
                        "type": "boolean",
                        "description": "Fetch each job's detail page for full description, structured salary, company profile, and similar jobs. Slower but much richer data.",
                        "default": true
                    },
                    "descriptionFormat": {
                        "title": "Description Format",
                        "enum": [
                            "text",
                            "html",
                            "markdown",
                            "all"
                        ],
                        "type": "string",
                        "description": "Which description formats to include in output.",
                        "default": "all"
                    },
                    "maxResults": {
                        "title": "💯 Max Results",
                        "minimum": 0,
                        "maximum": 10000,
                        "type": "integer",
                        "description": "Maximum total job listings to return. 0 = unlimited.",
                        "default": 50
                    },
                    "maxPages": {
                        "title": "📄 Max Pages",
                        "minimum": 1,
                        "maximum": 100,
                        "type": "integer",
                        "description": "Maximum SERP pages per search source (25 jobs/page). Auto-raised when needed to satisfy Max Results — you usually don't need to change this.",
                        "default": 5
                    },
                    "compact": {
                        "title": "📦 Compact Output",
                        "type": "boolean",
                        "description": "When true, each result contains only the most essential fields: jobId, title, company, location, salary, skills, url, description. Use in AI-agent and MCP workflows where token budgets matter.",
                        "default": false
                    },
                    "descriptionMaxLength": {
                        "title": "✂️ Description Max Length",
                        "minimum": 0,
                        "maximum": 10000,
                        "type": "integer",
                        "description": "Truncate the description field to this many characters, appending '...' if truncated. 0 = no truncation. Pairs well with compact mode.",
                        "default": 0
                    },
                    "outputFields": {
                        "title": "Output Fields",
                        "type": "array",
                        "description": "Select subset of output fields. Supports dot notation: 'ceSalary.min'. If empty: all fields returned."
                    },
                    "datasetName": {
                        "title": "Dataset Name",
                        "type": "string",
                        "description": "Custom dataset name. Supports masks: {DATE} = YYYYMMDD, {TIME} = HHMMSS"
                    },
                    "mode": {
                        "title": "⚙️ Mode",
                        "enum": [
                            "full",
                            "incremental"
                        ],
                        "type": "string",
                        "description": "full = return all jobs found. incremental = only return new/changed jobs (requires stateKey).",
                        "default": "full"
                    },
                    "incrementalMode": {
                        "title": "♻️ Incremental Mode",
                        "type": "boolean",
                        "description": "Track changes between runs. Emits NEW, UPDATED, EXPIRED records. Requires stateKey.",
                        "default": false
                    },
                    "stateKey": {
                        "title": "🔑 State Key",
                        "type": "string",
                        "description": "Optional stable identifier for the tracked search universe. Leave empty to auto-derive a stable identifier from your search inputs — different keyword/location/filter combinations get isolated state automatically."
                    },
                    "emitUnchanged": {
                        "title": "♻️ Emit Unchanged Records",
                        "type": "boolean",
                        "description": "In incremental mode, also emit records that haven't changed since last run.",
                        "default": false
                    },
                    "emitExpired": {
                        "title": "⚰️ Emit Expired Records",
                        "type": "boolean",
                        "description": "In incremental mode, also emit records no longer found on StepStone.",
                        "default": false
                    },
                    "skipReposts": {
                        "title": "🚫 Skip Reposts",
                        "type": "boolean",
                        "description": "Exclude listings detected as reposts of previously seen jobs.",
                        "default": false
                    },
                    "dedupStoreName": {
                        "title": "Dedup Store Name",
                        "type": "string",
                        "description": "Named KV store for cross-run dedup. Same name across runs = only new jobs pushed."
                    },
                    "dedupKey": {
                        "title": "Dedup Key",
                        "type": "string",
                        "description": "Field used as unique key for dedup (default: jobId)",
                        "default": "jobId"
                    },
                    "proxyConfiguration": {
                        "title": "🛡️ Proxy Configuration",
                        "type": "object",
                        "description": "Configure proxy settings. Default works for most use cases.",
                        "default": {
                            "useApifyProxy": true,
                            "apifyProxyGroups": [
                                "RESIDENTIAL"
                            ],
                            "apifyProxyCountry": "DE"
                        }
                    },
                    "telegramToken": {
                        "title": "🤖 Telegram Bot Token",
                        "type": "string",
                        "description": "Telegram bot token from @BotFather. Required for Telegram notifications."
                    },
                    "telegramChatId": {
                        "title": "💬 Telegram Chat ID",
                        "type": "string",
                        "description": "Telegram chat or channel ID where alerts are sent (e.g. \"-100123456789\" for a private group, or \"@yourchannel\")."
                    },
                    "discordWebhookUrl": {
                        "title": "🎮 Discord Webhook URL",
                        "type": "string",
                        "description": "Discord incoming webhook URL. Get one from Server Settings → Integrations → Webhooks."
                    },
                    "slackWebhookUrl": {
                        "title": "💼 Slack Webhook URL",
                        "type": "string",
                        "description": "Slack incoming webhook URL. Create at api.slack.com/messaging/webhooks."
                    },
                    "whatsappPhoneNumberId": {
                        "title": "📱 WhatsApp Phone Number ID",
                        "type": "string",
                        "description": "WhatsApp Business phone number ID from Meta Business Manager (NOT the phone number itself — the numeric ID shown next to your business number). Free service-conversation messages within 24 hours of last user-initiated contact."
                    },
                    "whatsappAccessToken": {
                        "title": "🔐 WhatsApp Access Token",
                        "type": "string",
                        "description": "Meta Cloud API access token with `whatsapp_business_messaging` scope. Get a permanent token from a system user in Meta Business Manager."
                    },
                    "whatsappTo": {
                        "title": "📨 WhatsApp Recipient",
                        "type": "string",
                        "description": "Recipient phone in E.164 format (e.g. +919876543210). Recipient must have messaged your business number within the last 24 hours — outside that window, free-form text is rejected by Meta."
                    },
                    "webhookUrl": {
                        "title": "🪝 Generic Webhook URL",
                        "type": "string",
                        "description": "Generic webhook URL that receives a JSON POST with the full job payload + run metadata. Universal escape hatch for n8n / Make / Zapier / your own backend."
                    },
                    "webhookHeaders": {
                        "title": "🔑 Webhook Headers",
                        "type": "object",
                        "description": "Optional headers (e.g. {\"Authorization\": \"Bearer xyz\"}) sent with the webhook POST."
                    },
                    "notificationLimit": {
                        "title": "📊 Max Jobs Per Notification",
                        "minimum": 1,
                        "maximum": 20,
                        "type": "integer",
                        "description": "Maximum number of jobs included in each notification message (1–20). Excess jobs are still in the dataset; notifications get a summary line.",
                        "default": 5
                    },
                    "notifyOnlyChanges": {
                        "title": "🔄 Notify Only New/Updated",
                        "type": "boolean",
                        "description": "When Incremental Mode is on, only send notifications for NEW / UPDATED / REAPPEARED jobs. Has no effect outside incremental mode.",
                        "default": false
                    },
                    "excludeEmptyFields": {
                        "title": "Exclude empty fields from output",
                        "type": "boolean",
                        "description": "Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards.",
                        "default": false
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
