Personio Job Board Scraper

Extract structured public job listings from the public Personio XML career feed. This Actor is built for recruiters, job aggregators, labour-market analysts, sales teams tracking hiring signals, and developers building job alerts or AI career agents. It uses a lightweight HTTP runtime at 256 MB, so scheduled monitoring can remain inexpensive.

What you can extract

• Job title, source job ID, employer, location, and direct application URL
• Category, employment type, remote/workplace metadata, and seniority when supplied
• Salary or compensation metadata when the publisher makes it public
• Description text and HTML, publication date, expiry date, and original source payload
• Stable source attribution fields for audits, exports, and downstream workflows

Common workflows

• Monitor new openings and hiring momentum at target employers
• Build role, location, skill, and salary datasets for recruiting research
• Send scheduled results to Google Sheets, a warehouse, Slack, or an email alert
• Enrich job-search products with direct application URLs
• Supply fresh public job context to RAG pipelines, MCP clients, and AI agents

Example input

{
  "companySlugs": [
    "personio"
  ],
  "language": "en",
  "keywords": [
    "engineer"
  ],
  "maxResults": 20
}

Output

Each dataset row clearly exposes source, sourceUrl, jobId, title, company, location, category, employmentType, workplaceType, salary, seniority, description, publishedAt, expiresAt, applyUrl, and raw. Export JSON, CSV, or Excel, or retrieve the dataset through the Apify API and MCP tools.

SEO keywords

personio jobs scraper, remote jobs API, job board scraper, recruiting intelligence data, hiring signals, salary data, direct apply jobs, labour market data, job aggregation API, AI recruiting agent.

Pricing

Recommended launch price: $3 per 1,000 returned job rows. The low launch price supports trials and recurring monitoring while preserving margin on the public HTTP source.

Responsible use and source terms

Use this Actor only for legitimate processing of public job listings. Do not access private candidate data, automate applications, bypass authentication, resell a source feed where prohibited, or overload publisher systems. Use a measured schedule and respect each employer's career-site terms and capacity. Preserve source, sourceUrl, and applyUrl when republishing results, and review the source's current terms before production use.