# Personio Job Scraper — DACH Companies, Salary | $1.50/1K (`bovi/personio-job-scraper-dach`) Actor Scrape job postings from Personio-powered career pages at DACH-region companies (Germany, Austria, Switzerland) — Celonis, SumUp, N26, FlixBus, Trivago. Returns title, location, department, team, seniority, remote-type, employment type, schedule, description, parse\_confidence. Zero auth, zero proxy. - **URL**: https://apify.com/bovi/personio-job-scraper-dach.md - **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community) - **Categories:** Jobs, Lead generation, MCP servers - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.20 / 1,000 personio job scraper — dach companies, salary | $1.50/1ks 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/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## Personio Job Scraper — DACH Companies For DACH HR analytics and talent teams that need job data from Personio-powered companies in Germany, Austria, and Switzerland — Celonis, SumUp, N26, FlixBus, Trivago, and thousands more DACH companies. **Pay per result — $1.50 / 1,000 jobs.** No API keys. No proxy. No extra cost. Scrape job postings from any **Personio**-powered company careers page via the public XML feed. Personio is one of Europe's leading HR platforms, used by thousands of companies across Germany, Austria, and Switzerland (Celonis, SumUp, N26, FlixBus, Trivago, and more). Every Personio customer gets a public careers page at `https://.jobs.personio.de` backed by an XML feed — this actor makes that data queryable at scale. **DACH companies use Personio:** Personio is Europe's leading HR platform for mid-size companies, especially dominant in Germany, Austria, and Switzerland. Find any company's slug from `https://.jobs.personio.de`. *** ### What you get | Field | Description | |---|---| | `title` | Job title | | `company` | Company slug | | `location` | Primary office + additional offices combined | | `remote_type` | `remote` / `hybrid` / `null` — inferred from location + title | | `seniority` | `intern` / `entry` / `mid` / `senior` / `staff` / `lead` / `manager` / `director` / `vp` / `principal` / `executive` | | `department` | Department name | | `team` | Recruiting category / team name | | `employment_type` | Employment type (permanent, working\_student, etc.) | | `schedule` | Full-time, part-time | | `salary` | Always `null` — not exposed in the public XML feed | | `posted_at` | ISO-8601 creation date | | `url` | Direct job listing URL | | `apply_url` | Apply URL (same as listing URL for Personio) | | `job_id` | Personio numeric job ID | | `global_id` | Dedupe key: `personio::` | | `description_text` | Plain-text job description (HTML stripped) | | `description_html` | Full HTML description from all description sections | | `parse_confidence` | 0.0–1.0 score — drops when key fields are missing | | `warnings` | List of codes explaining any confidence deductions | | `scraped_at` | ISO-8601 run timestamp | *** ### How it works Personio publishes a machine-readable XML feed at `https://.jobs.personio.de/xml?language=en`. This actor: 1. Fetches the XML for each company slug in your input list. 2. Parses all `` elements including the inline `` sections. 3. Normalizes the data into a flat, typed schema with seniority and remote-type enrichment. 4. Applies optional keyword filters (title / location / remote-only). 5. Pushes results to the Apify dataset and charges per job (PPE). **Zero auth. Zero proxy. $0 infra cost.** The XML feed is fully public. *** ### Input | Field | Type | Default | Description | |---|---|---|---| | `companies` | string\[] | `["celonis", "sumup", "n26", "flixbus", "trivago"]` | Personio company slugs | | `titleKeyword` | string | — | Case-insensitive filter on job title | | `locationKeyword` | string | — | Case-insensitive filter on location | | `remoteOnly` | boolean | `false` | Only return remote jobs | | `maxJobsPerCompany` | integer | `50` | Cap per slug (0 = unlimited) | | `includeDescriptions` | boolean | `true` | Include description\_text + description\_html | #### Finding a company slug The slug is the subdomain in the careers URL: - `https://celonis.jobs.personio.de` → slug = `celonis` - `https://sumup.jobs.personio.de` → slug = `sumup` - `https://n26.jobs.personio.de` → slug = `n26` *** ### Pricing This actor uses **Pay Per Result** (PPE) pricing — you only pay for jobs actually pushed to your dataset. **Price: $0.0015 per job** ($1.50 per 1,000 jobs) **Worked example:** 10 companies × 50 jobs = 500 results = **$0.75**. 20 companies × 100 jobs = 2,000 results = **$3.00**. *** ### Output sample ```json { "title": "Senior Backend Engineer", "company": "celonis", "location": "Munich, Germany", "remote_type": null, "seniority": "senior", "department": "Engineering", "employment_type": "regular", "schedule": "full_time", "posted_at": "2026-05-15T00:00:00+00:00", "url": "https://celonis.jobs.personio.de/job/123456", "job_id": "123456", "global_id": "personio:celonis:123456", "parse_confidence": 1.0, "warnings": [] } ``` *** ### FAQ **Do I need an API key or proxy?** No. Personio's XML feed (`.jobs.personio.de/xml`) is publicly accessible — no auth, no proxy, no browser required. **What output formats are available?** JSON, JSONL, CSV, and Excel via the Apify dataset export, plus the Apify REST API. **Can I schedule daily runs?** Yes — use Apify Scheduler. Use `global_id` (`personio::`) as a stable dedup key across runs. **Why is salary always null?** Personio's public XML feed does not include compensation data. This is a platform limitation, not a scraper limitation — if and when Personio adds salary to the feed, this actor will surface it. *** ### Differentiators vs competitors | Feature | This scraper | Typical Personio scrapers | |---|---|---| | `schedule` field (full-time / part-time) | Yes | No | | `team` field (recruiting category) | Yes | No | | `parse_confidence` score | Yes | No | | Seniority (11 levels) | Yes | Rarely | | Multi-company batch | Yes | Some | | Inline descriptions (no extra API calls) | Yes | Some | | `global_id` for dedup | Yes | No | | Price | $1.50/1k | varies | `parse_confidence` (0.0–1.0) and `warnings` in every record — implemented in normalize\_personio.py. Your pipeline detects data drift before output breaks. Note: `salary` is always `null` — Personio's XML feed does not expose compensation. `schedule` (full-time / part-time) and `team` (recruiting\_category) are Personio-unique fields not available on other ATS scrapers. If your target company uses Recruitee instead of Personio, see our [Recruitee Job Scraper](https://apify.com/bovi/recruitee-job-scraper). ### Use with AI agents (MCP) This actor is MCP-compatible. Use it as a data source in n8n, Make, or any LLM agent pipeline. ``` https://mcp.apify.com/?tools=bovi/personio-job-scraper-dach ``` The flat schema with `global_id` (`personio::`) is drop-in-ready for vector databases, DACH HR analytics pipelines, and job-matching LLM workflows. Need Greenhouse, Lever, Ashby, SmartRecruiters and Recruitee in the same pipeline? Use the flagship [Multi-ATS Job Scraper](https://apify.com/bovi/greenhouse-lever-ashby-job-scraper) — 6 ATS, one unified schema. *** ### Integrations Built for DACH talent-intel and HR-analytics teams tracking open roles across Personio-powered companies — the JSON/dataset output drops into the tools you already run, no glue code: - **n8n / Make / Zapier** — trigger a run or pipe every new dataset item into 500+ apps (Google Sheets, Airtable, Slack, HubSpot, your database) with no code: [n8n](https://docs.apify.com/platform/integrations/n8n), [Make](https://docs.apify.com/platform/integrations/make), [Zapier](https://docs.apify.com/platform/integrations/zapier). - **Webhooks** — fire your own endpoint the moment a run finishes, to push results straight into your pipeline ([docs](https://docs.apify.com/platform/integrations/webhooks)). - **MCP server** — expose this actor as a tool to Claude, Cursor, or any [MCP client](https://mcp.apify.com) so an AI agent can pull this data mid-conversation ([guide](https://blog.apify.com/how-to-use-mcp/)). - **API & SDKs** — fetch the dataset as JSON, CSV, or Excel through the Apify REST API or the Python / JS SDKs. See all [Apify integrations](https://apify.com/integrations). ### Not affiliated with Personio This actor uses the public, unauthenticated XML feed that Personio exposes for every customer careers page. It is not affiliated with, endorsed by, or supported by Personio SE & Co. KG. # Actor input Schema ## `companies` (type: `array`): Personio company slugs to scrape. The slug is the subdomain in the careers URL: https://.jobs.personio.de. Examples: "personio", "celonis", "sumup". Each item can be a plain string ("celonis") or an object ({"slug": "celonis"}). ## `titleKeyword` (type: `string`): Keep only jobs whose title contains this text (case-insensitive). Example: "engineer". Leave blank to return all jobs. ## `locationKeyword` (type: `string`): Keep only jobs whose location contains this text (case-insensitive). Example: "Munich". Leave blank for all locations. ## `remoteOnly` (type: `boolean`): When enabled, only jobs detected as fully remote are returned (based on location or title containing "remote"). ## `maxJobsPerCompany` (type: `integer`): Cap on jobs pushed per company slug after filtering. Default 50 keeps trial runs cheap. Set to 0 for unlimited. ## `includeDescriptions` (type: `boolean`): Return full job description as plain text and HTML. Personio includes descriptions inline in the XML feed (no extra API calls needed) — this only controls whether the fields appear in your output. ## Actor input object example ```json { "companies": [ "celonis", "sumup", "n26", "flixbus", "trivago" ], "remoteOnly": false, "maxJobsPerCompany": 50, "includeDescriptions": true } ``` # Actor output Schema ## `results` (type: `string`): Dataset containing Personio Job Scraper records (title, company, location, remote\_type, seniority, department, employment\_type, posted\_at, url, parse\_confidence, schedule, global\_id). # 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 = { "companies": [ "celonis", "sumup", "n26", "flixbus", "trivago" ] }; // Run the Actor and wait for it to finish const run = await client.actor("bovi/personio-job-scraper-dach").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 = { "companies": [ "celonis", "sumup", "n26", "flixbus", "trivago", ] } # Run the Actor and wait for it to finish run = client.actor("bovi/personio-job-scraper-dach").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).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": [ "celonis", "sumup", "n26", "flixbus", "trivago" ] }' | apify call bovi/personio-job-scraper-dach --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,bovi/personio-job-scraper-dach" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/NSXtKyOryjwGbfKSV/builds/mreMlfJgqLhbLELVq/openapi.json