# StepStone DK Scraper - Denmark Jobs (`blackfalcondata/stepstone-dk-scraper`) Actor Scrape stepstone.dk - Denmark’s management and specialist job portal. Salary data, employer profiles, and employment type filters. Incremental mode detects new and changed listings. Compact output for AI agents and MCP workflows. - **URL**: https://apify.com/blackfalcondata/stepstone-dk-scraper.md - **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 4 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 DK Scraper do? StepStone DK Scraper extracts structured job data from [stepstone.dk](https://stepstone.dk) — including salary data, contact details (email, apply URL), company metadata, full descriptions, remote-work indicators, and location data. 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, company metadata, and contact information) where the source provides them. **New to Apify?** [Sign up free](https://console.apify.com/sign-up?fpr=1h3gvi&fp_sid=ctaplain) and use the included $5 monthly platform credit to test this actor. ### Key features - **♻️ 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. - **📋 Detail enrichment** — two-stage mode: list, then enrich each job with the full description + detail-page fields (apply counts, education, etc.). One toggle, no extra orchestration. - **📧 Email + phone extraction** — best-effort regex extraction of contact emails and phone numbers from the listing description. Populated only when the source listing exposes the data — many listings hide contact info behind apply-flows, so null/empty is normal. Both `extractedEmails` and `extractedPhones` are arrays; an empty array means the page was scanned but nothing matched, while `null` means the extraction step was skipped. - **🔗 URL + social-profile extraction** — every record carries `extractedUrls[]` and structured `socialProfiles { linkedin, twitter, github, … }` parsed from the description — useful when employers drop their careers page or recruiter LinkedIn in-line. - **📌 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. - **📦 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. - **📤 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, …). - **🔌 MCP connectors** — export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows. ### What data can you extract from stepstone.dk? Each result includes Core listing fields (`jobId`, `tid`, `title`, `location`, `fullAddress`, `city`, `zipCode`, and `latitude`, and more), detail fields when enrichment is enabled (`description`), contact and apply information (`contactEmail`, `contactPhone`, and `applyUrl`), and company metadata (`company`, `workplaceCompany`, `companyLogoUrl`, and `companyWebsite`). 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, company metadata, and contact information 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', 'projektleder'). - **`location`** — Free-text location (city or area name). Use Region for structured filtering. - **`region`** — Filter by Danish region or area. - **`employmentType`** — Filter by employment type. - **`remoteWork`** — Filter by remote work availability. - **`workingHours`** — Filter by working hours type. - **`jobAge`** — Only show jobs posted within this period. - **`maxResults`** — Maximum total results (0 = unlimited). (default: `25`) - **`includeDetails`** — Fetch full job descriptions from detail pages. Slower but provides complete descriptions. (default: `false`) - **`descriptionMaxLength`** — Truncate description to N characters. 0 = no truncation. (default: `0`) - **`compact`** — Core fields only (for AI-agent/MCP workflows). (default: `false`) - **`incrementalMode`** — Only output new/changed jobs compared to previous run. (default: `false`) - ...and 21 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 { "query": "software", "maxResults": 50 } ```` **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", "maxResults": 200, "incrementalMode": true, "stateKey": "software-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", "employmentType": "permanent", "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": "8eddb3138d2be78639ebce196eed6fe30d9d05e3a55dd741f1d61cd1fe1b25d8", "tid": "h1647246", "title": "Technical Lead", "company": "PC SCHEMATIC A/S", "workplaceCompany": "PC SCHEMATIC A/S", "location": "Roskilde", "fullAddress": "Gammel Marbjergvej 15, 4000 Roskilde", "city": "Roskilde", "zipCode": "4000", "latitude": 55.6470652, "longitude": 12.1407991, "description": "Do you want to lead the technical development of the electrical automation software of the future?\n\nWe are looking for a Technical Lead to join our development team.\n\nAre you an experienced developer...", "employmentType": "Permanent", "workingHours": "Full-time", "remoteWork": false, "remoteWorkLabel": "Possible", "postedDate": "2026-03-13", "expiresDate": "2026-04-10", "applicationDeadline": null, "applyUrl": "https://www.stepstone.dk/c?t=h1647246&ctx=w&jobsearch_position=1&jobsearchid=1046499114", "url": "https://www.stepstone.dk/jobannonce/h1647246/technical-lead", "portalUrl": "https://www.stepstone.dk", "companyLogoUrl": "https://www.stepstone.dk/img/logo/pc_scematic_600x314_20260312.png", "companyWebsite": "http://www.pcschematic.com/DA/", "contactEmail": "kirsten.moeller@pcschematic.com", "contactPhone": "2384 5296", "salaryText": null, "scrapedAt": "2026-03-28T08:55:45.482Z", "source": "stepstone.dk" } ``` ### Incremental fields When incremental mode is on, 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. - `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.dk 1. Go to [StepStone DK Scraper](https://apify.com/blackfalcondata/stepstone-dk-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, contact info, 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.dk 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. - Build outreach lists using contact details and apply URLs from listings. - 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. ### How much does it cost to scrape stepstone.dk? StepStone DK 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:** $0.01 per run - **Per result:** $0.002 per job record Example costs: - 10 results: **$0.03** - 25 results: **$0.06** - 100 results: **$0.21** - 200 results: **$0.41** - 500 results: **$1.01** #### 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: 100 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 | $0.21 | $0.02 | $0.19 (90%) | $0.60 | | 15% — moderate broad query | $0.21 | $0.04 | $0.17 (81%) | $1.20 | | 30% — high-volume aggregator | $0.21 | $0.07 | $0.14 (67%) | $2.10 | Full re-scrape monthly cost at daily polling: $6.30. First month with incremental costs $0.79 / $1.37 / $2.24 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply. ### FAQ #### How many results can I get from stepstone.dk? The number of results depends on the search query and available listings on stepstone.dk. Use the `maxResults` parameter to control how many results are returned per run. #### Does StepStone DK 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 DK Scraper with other apps? Yes. StepStone DK 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 DK 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 DK 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.dk? This actor extracts publicly available data from stepstone.dk. 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-dk-scraper/issues?fpr=1h3gvi) on the actor's page in Apify Console. Your feedback helps us improve. ### You might also like - [Actiris Brussels Job Scraper](https://apify.com/blackfalcondata/actiris-scraper?fpr=1h3gvi) — Scrape all active job listings from actiris.brussels — official Brussels public employment service.. - [AMS Austria Job Scraper — Austrian Public Employment Service](https://apify.com/blackfalcondata/ams-austria-job-scraper?fpr=1h3gvi) — Scrape jobs.ams.at — Austria's official AMS public employment portal, branded "alle jobs" ("all. - [APEC.fr Scraper - French Executive Jobs](https://apify.com/blackfalcondata/apec-scraper?fpr=1h3gvi) — Scrape apec.fr - French executive job listings with salary ranges, company, location, skills,. - [Arbeitsagentur Jobs Feed — German Federal Employment Agency](https://apify.com/blackfalcondata/arbeitsagentur-jobs-feed?fpr=1h3gvi) — Scrape arbeitsagentur.de — Germany's official public employment portal with over 1 million live job. - [Arbetsformedlingen Job Scraper](https://apify.com/blackfalcondata/arbetsformedlingen-scraper?fpr=1h3gvi) — Scrape arbetsformedlingen.se (Platsbanken) — Sweden's official employment portal. Returns 84. - [Bayt.com Scraper — MENA Jobs with Salary & Skills Filter](https://apify.com/blackfalcondata/bayt-scraper?fpr=1h3gvi) — Scrape bayt.com — the leading Middle East job board spanning UAE, Saudi Arabia, Qatar, Egypt. - [Bumeran Scraper — LATAM Jobs across 7 Countries & 8 Brands](https://apify.com/blackfalcondata/bumeran-scraper?fpr=1h3gvi) — Scrape Bumeran Group's job boards across LATAM — Argentina (bumeran.com.ar + zonajobs), Chile. - [Cadremploi Scraper — French Executive & Management Jobs](https://apify.com/blackfalcondata/cadremploi-scraper?fpr=1h3gvi) — Scrape cadremploi.fr — France's leading job board for executives and managers (cadres). Salary. ### Getting started with Apify New to Apify? [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=1h3gvi\&fp_sid=ctaplain) — 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', 'projektleder'). ## `location` (type: `string`): Free-text location (city or area name). Use Region for structured filtering. ## `region` (type: `string`): Filter by Danish region or area. ## `employmentType` (type: `string`): Filter by employment type. ## `remoteWork` (type: `string`): Filter by remote work availability. ## `workingHours` (type: `string`): Filter by working hours type. ## `jobAge` (type: `string`): Only show jobs posted within this period. ## `maxResults` (type: `integer`): Maximum total results (0 = unlimited). ## `includeDetails` (type: `boolean`): Fetch full job descriptions from detail pages. Slower but provides complete descriptions. ## `descriptionMaxLength` (type: `integer`): Truncate description to N characters. 0 = no truncation. ## `compact` (type: `boolean`): Core fields only (for AI-agent/MCP workflows). ## `incrementalMode` (type: `boolean`): Only output new/changed jobs compared to previous run. ## `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. ## `allowNonIncrementalFallback` (type: `boolean`): If incremental mode is requested but the state store is not accessible on this account, fall back to a non-incremental run instead of failing. Default: fail loudly so missing state is not silently ignored. ## `emitUnchanged` (type: `boolean`): Also emit jobs that have not changed since the last run. ## `emitExpired` (type: `boolean`): Also emit jobs that have disappeared since the last run. ## `skipReposts` (type: `boolean`): When incremental, skip jobs whose content matches a previously expired job. ## `telegramToken` (type: `string`): Telegram bot token (from @BotFather). ## `telegramChatId` (type: `string`): Telegram chat or channel ID. Required when telegramToken is set. ## `discordWebhookUrl` (type: `string`): Discord incoming webhook URL. ## `slackWebhookUrl` (type: `string`): Slack incoming webhook URL. ## `whatsappAccessToken` (type: `string`): WhatsApp Cloud API access token. Recipient must have messaged your business number within last 24h. ## `whatsappPhoneNumberId` (type: `string`): WhatsApp Business phone-number ID. ## `whatsappTo` (type: `string`): Recipient phone in E.164 format without +. ## `webhookUrl` (type: `string`): Receives a JSON POST with {metadata, items} after each run. ## `webhookHeaders` (type: `object`): Optional JSON object of custom headers. ## `notificationLimit` (type: `integer`): Maximum number of jobs included in each notification message (1–20). ## `notifyOnlyChanges` (type: `boolean`): When Incremental Mode is on, only send notifications for NEW and UPDATED jobs. ## `phoneExtractionMode` (type: `string`): Strict (Tel:/+CC prefix only) or Lenient (also bare local numbers). ## `descriptionFormat` (type: `string`): Pick a single description representation. `all` keeps every variant; `text` / `html` / `markdown` drop the others. ## `excludeEmptyFields` (type: `boolean`): Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards. ## `appConnector` (type: `string`): Optional. Pick a connected app under Settings → API & Integrations to receive your results. Notion is supported today (a run-summary page); other MCP connectors are best-effort as Apify expands its catalog. ## `mcpIssueTeam` (type: `string`): Only when the connected app is an issue tracker: the team (name or ID) the summary issue is created under, if that app requires one. ## Actor input object example ```json { "query": "software", "maxResults": 5, "includeDetails": false, "descriptionMaxLength": 0, "compact": false, "incrementalMode": false, "allowNonIncrementalFallback": false, "emitUnchanged": false, "emitExpired": false, "skipReposts": false, "notificationLimit": 5, "notifyOnlyChanges": false, "phoneExtractionMode": "strict", "descriptionFormat": "all", "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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "query": "software", "maxResults": 5, "descriptionFormat": "all", "excludeEmptyFields": false }; // Run the Actor and wait for it to finish const run = await client.actor("blackfalcondata/stepstone-dk-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "query": "software", "maxResults": 5, "descriptionFormat": "all", "excludeEmptyFields": False, } # Run the Actor and wait for it to finish run = client.actor("blackfalcondata/stepstone-dk-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", "maxResults": 5, "descriptionFormat": "all", "excludeEmptyFields": false }' | apify call blackfalcondata/stepstone-dk-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=blackfalcondata/stepstone-dk-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "StepStone DK Scraper - Denmark Jobs", "description": "Scrape stepstone.dk - Denmark’s management and specialist job portal. Salary data, employer profiles, and employment type filters. Incremental mode detects new and changed listings. Compact output for AI agents and MCP workflows.", "version": "0.1", "x-build-id": "IKu2tIUi6k5i1sMgX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/blackfalcondata~stepstone-dk-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-blackfalcondata-stepstone-dk-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/blackfalcondata~stepstone-dk-scraper/runs": { "post": { "operationId": "runs-sync-blackfalcondata-stepstone-dk-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/blackfalcondata~stepstone-dk-scraper/run-sync": { "post": { "operationId": "run-sync-blackfalcondata-stepstone-dk-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "query" ], "properties": { "query": { "title": "🔍 Search Term(s)", "type": "string", "description": "Job search keywords (e.g. 'software engineer', 'projektleder')." }, "location": { "title": "📍 Location", "type": "string", "description": "Free-text location (city or area name). Use Region for structured filtering." }, "region": { "title": "🌍 Region", "enum": [ "storkøbenhavn", "nordsjælland", "sjælland", "fyn", "sydjylland", "midtjylland", "nordjylland" ], "type": "string", "description": "Filter by Danish region or area." }, "employmentType": { "title": "💼 Employment Type", "enum": [ "permanent", "temporary", "student", "apprentice", "graduate", "internship", "volunteer", "freelance" ], "type": "string", "description": "Filter by employment type." }, "remoteWork": { "title": "Remote Work", "enum": [ "full-remote", "hybrid", "not-offered" ], "type": "string", "description": "Filter by remote work availability." }, "workingHours": { "title": "Working Hours", "enum": [ "full-time", "part-time" ], "type": "string", "description": "Filter by working hours type." }, "jobAge": { "title": "Job Age", "enum": [ "0", "7", "30" ], "type": "string", "description": "Only show jobs posted within this period." }, "maxResults": { "title": "💯 Max Results", "minimum": 0, "maximum": 1250, "type": "integer", "description": "Maximum total results (0 = unlimited).", "default": 25 }, "includeDetails": { "title": "📋 Include Full Details", "type": "boolean", "description": "Fetch full job descriptions from detail pages. Slower but provides complete descriptions.", "default": false }, "descriptionMaxLength": { "title": "✂️ Description Max Length", "minimum": 0, "type": "integer", "description": "Truncate description to N characters. 0 = no truncation.", "default": 0 }, "compact": { "title": "📦 Compact Output", "type": "boolean", "description": "Core fields only (for AI-agent/MCP workflows).", "default": false }, "incrementalMode": { "title": "♻️ Incremental Mode", "type": "boolean", "description": "Only output new/changed jobs compared to previous run.", "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." }, "allowNonIncrementalFallback": { "title": "↩️ Allow Non-Incremental Fallback", "type": "boolean", "description": "If incremental mode is requested but the state store is not accessible on this account, fall back to a non-incremental run instead of failing. Default: fail loudly so missing state is not silently ignored.", "default": false }, "emitUnchanged": { "title": "♻️ Emit Unchanged", "type": "boolean", "description": "Also emit jobs that have not changed since the last run.", "default": false }, "emitExpired": { "title": "⚰️ Emit Expired", "type": "boolean", "description": "Also emit jobs that have disappeared since the last run.", "default": false }, "skipReposts": { "title": "🚫 Skip Reposts", "type": "boolean", "description": "When incremental, skip jobs whose content matches a previously expired job.", "default": false }, "telegramToken": { "title": "🔑 Telegram Bot Token", "type": "string", "description": "Telegram bot token (from @BotFather)." }, "telegramChatId": { "title": "💬 Telegram Chat ID", "type": "string", "description": "Telegram chat or channel ID. Required when telegramToken is set." }, "discordWebhookUrl": { "title": "🎮 Discord Webhook URL", "type": "string", "description": "Discord incoming webhook URL." }, "slackWebhookUrl": { "title": "💼 Slack Webhook URL", "type": "string", "description": "Slack incoming webhook URL." }, "whatsappAccessToken": { "title": "📱 WhatsApp Access Token", "type": "string", "description": "WhatsApp Cloud API access token. Recipient must have messaged your business number within last 24h." }, "whatsappPhoneNumberId": { "title": "📞 WhatsApp Phone Number ID", "type": "string", "description": "WhatsApp Business phone-number ID." }, "whatsappTo": { "title": "📲 WhatsApp Recipient", "type": "string", "description": "Recipient phone in E.164 format without +." }, "webhookUrl": { "title": "🪝 Generic Webhook URL", "type": "string", "description": "Receives a JSON POST with {metadata, items} after each run." }, "webhookHeaders": { "title": "📋 Webhook Headers", "type": "object", "description": "Optional JSON object of custom headers." }, "notificationLimit": { "title": "📊 Max Jobs Per Notification", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum number of jobs included in each notification message (1–20).", "default": 5 }, "notifyOnlyChanges": { "title": "🔄 Notify Only New/Updated", "type": "boolean", "description": "When Incremental Mode is on, only send notifications for NEW and UPDATED jobs.", "default": false }, "phoneExtractionMode": { "title": "📞 Phone Extraction Mode", "enum": [ "strict", "lenient" ], "type": "string", "description": "Strict (Tel:/+CC prefix only) or Lenient (also bare local numbers).", "default": "strict" }, "descriptionFormat": { "title": "Description format", "enum": [ "all", "text", "html", "markdown" ], "type": "string", "description": "Pick a single description representation. `all` keeps every variant; `text` / `html` / `markdown` drop the others.", "default": "all" }, "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 }, "appConnector": { "title": "Send results to Notion (or another connected app)", "type": "string", "description": "Optional. Pick a connected app under Settings → API & Integrations to receive your results. Notion is supported today (a run-summary page); other MCP connectors are best-effort as Apify expands its catalog." }, "mcpIssueTeam": { "title": "Issue tracker team", "type": "string", "description": "Only when the connected app is an issue tracker: the team (name or ID) the summary issue is created under, if that app requires one." } } }, "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 } } } } } } } } } } ```