Recruitee Jobs Scraper

Scrape every open job from any Recruitee careers page — titles, locations, departments, posting dates and full descriptions — straight from the public Recruitee careers API (/api/offers). Popular with European scale-ups and agencies. No login, no browser, no proxy: runs finish in seconds.

Why this scraper

• Official public Recruitee endpoint — no browser, no proxy, no login, no blocking.
• Any number of companies in one run — paste the company name or its careers-page URL.
• Same output as our other ATS scrapers (Greenhouse, Lever, Ashby, Workday, SmartRecruiters, Recruitee, Workable, Personio, Teamtailor, Breezy HR, Pinpoint, Rippling), so data from different platforms merges without mapping.
• Monitored every 3 hours — the source endpoints are checked automatically, so a change on the platform's side is caught and fixed fast.

What you get

One clean, normalized record per job:

• title, company, department, employment type
• location, all locations, remote / workplace type
• posting date (ISO 8601)
• full description as plain text and HTML
• direct job URL and apply URL
• Salary range and hours per week when the company publishes them.

How to use

1. Add companies: the company name from its careers URL, e.g. bunq from bunq.recruitee.com, or paste the whole URL.
2. Optionally filter by title keywords, locations, remote-only or posting date.
3. Run and export to JSON, CSV, Excel, or pull the data via API / integrations (Make, Zapier, n8n, Google Sheets).

Example input

{
  "companies": [
    "bunq"
  ],
  "keywords": [
    "engineer",
    "sales"
  ],
  "postedWithinDays": 30
}

Example output

{
  "ats": "recruitee",
  "company": "bunq",
  "jobId": "2800490",
  "title": "Data Scientist Marketing",
  "url": "https://careers.bunq.com/o/data-scientist-marketing-3",
  "location": "Amsterdam, Noord-Holland, Netherlands",
  "remote": null,
  "department": "Growth",
  "employmentType": "fulltime_permanent",
  "postedAt": "2026-10-28T13:21:58+00:00",
  "salaryMin": null,
  "salaryMax": null,
  "salaryCurrency": null,
  "salaryText": null,
  "descriptionText": "At bunq, we’re on a mission to Make Life Easy for our users by creating the most user-centric banking experience out ..."
}

Use cases

• Job boards & aggregators — keep listings fresh straight from the source.
• Recruiters & sales teams — find companies that are hiring for roles you serve (hiring = buying signal).
• Market & salary research — track hiring trends by company, function and location.
• Job seekers — get alerts for new roles at your target companies (schedule the run daily with postedWithinDays: 1).

Use it with AI agents

This actor works as a tool for AI agents and LLM apps through the Apify MCP server (Claude, Cursor, VS Code and other MCP clients) and through Apify's integrations for LangChain, LlamaIndex, Make, Zapier and n8n. Ask your agent for the data in plain words; it fills the input for you.

Related scrapers

• Career Site Jobs Scraper (12 ATS platforms in one run)
• Greenhouse Jobs Scraper
• Lever Jobs Scraper
• Ashby Jobs Scraper
• Workday Jobs Scraper
• SmartRecruiters Jobs Scraper
• Remote Jobs Scraper
• Workable Jobs Scraper
• Personio Jobs Scraper

Pricing

Pay per result: you are charged only for jobs that are saved to the dataset. Set Max jobs in total to cap the cost of a run.

FAQ

How do I scrape Recruitee jobs without code? Paste the company's careers page URL (or its name from company.recruitee.com) into Companies, click Start, and download the results as CSV, JSON or Excel.

Is there an official Recruitee jobs API? Recruitee publishes every company's open jobs through a public endpoint for its careers pages. This scraper uses it and normalizes the result, so you don't have to handle formats, paging or retries.

Can I get only new jobs every day? Yes. Schedule the run daily and set Posted within (days) to 1.

Is it legal? The scraper reads only public job postings published by the companies themselves. No personal data is collected.

A company returns no jobs. Check the identifier — open the company's careers page and copy the URL. The run summary (key-value store → RUN_SUMMARY) lists every company that failed and why.

Something broke or you need a field? Open an issue on the Issues tab — we usually respond within a day.