# Teamtailor Jobs Scraper (`devilscrapes/teamtailor-jobs-scraper`) Actor

Scrape every open job posting from any Teamtailor-powered company career site via Teamtailor's own public JSON Feed, no login or browser required. Get job titles, locations, publish dates, and full descriptions instantly, ready for recruiter pipelines or as a hiring-intent signal for BD teams.

- **URL**: https://apify.com/devilscrapes/teamtailor-jobs-scraper.md
- **Developed by:** [DevilScrapes](https://apify.com/devilscrapes) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Teamtailor Jobs Scraper

Scrape every open job posting from any Teamtailor-powered company career
site via Teamtailor's own public JSON Feed — no login or browser
required.

> Scaffold placeholder — full Store-listing copy (What this scrapes /
> Features / Use cases / How to use it / Input / Output / Pricing /
> Limitations / FAQ / Your feedback) lands at T15
> (`actor-readme-curator`).

### Input

See `.actor/input_schema.json` (`companies`, `maxJobsPerCompany`,
`includeHtml`, `proxyConfiguration`).

### Output

See `.actor/dataset_schema.json` for the full `ResultRow` field list.

### Pricing

Pay-per-event: `actor-start` ($0.005 once per run) + `result` ($0.0015
per job posting emitted). See `.actor/pay_per_event.json`.

### Changelog

See `CHANGELOG.md`.

# Actor input Schema

## `companies` (type: `array`):

Teamtailor company subdomain, e.g. "oatly" (the employer identifier in https://{company}.teamtailor.com/), or a full https://{company}.teamtailor.com URL (with or without a trailing /jobs path) — the subdomain is regex-extracted. A plain string with no "teamtailor.com" substring is used as the literal subdomain; a custom-domain URL (e.g. careers.oatly.com) is rejected — use the bare {company}.teamtailor.com subdomain instead.

## `maxJobsPerCompany` (type: `integer`):

Cap job postings emitted per companies entry, applied after parsing.

## `includeHtml` (type: `boolean`):

When enabled, populate description\_html (raw content\_html) for every emitted row. description\_text (HTML-tag-stripped) is always populated regardless.

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

Apify Proxy configuration. No anti-bot behaviour has been observed on Teamtailor's public JSON feed, so the standard (non-residential) group is enough.

## Actor input object example

```json
{
  "companies": [
    "oatly",
    "storytel"
  ],
  "maxJobsPerCompany": 100,
  "includeHtml": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `datasetItems` (type: `string`):

All dataset items as JSON.

## `datasetItemsCsv` (type: `string`):

Same data exported to CSV.

## `datasetView` (type: `string`):

Open the run dataset in the Console.

# 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 = {
    "companies": [
        "oatly",
        "storytel"
    ],
    "maxJobsPerCompany": 100,
    "includeHtml": false,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("devilscrapes/teamtailor-jobs-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 = {
    "companies": [
        "oatly",
        "storytel",
    ],
    "maxJobsPerCompany": 100,
    "includeHtml": False,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("devilscrapes/teamtailor-jobs-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 '{
  "companies": [
    "oatly",
    "storytel"
  ],
  "maxJobsPerCompany": 100,
  "includeHtml": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call devilscrapes/teamtailor-jobs-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/sELEqfVQrKihOFqrg/builds/TtMLe4lUx9NhNdGeq/openapi.json