# Personio Jobs Scraper (`kunnu_data/personio-jobs-scraper`) Actor

Extract all open jobs from any Personio careers page (company.jobs.personio.de) with full descriptions, departments, seniority, years of experience, tech stack and job function. Fast, no proxies.

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

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## 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 Jobs Scraper

Extract **all open jobs** from any **Personio** careers page (`company.jobs.personio.de` or `.com`) with full descriptions, offices, departments, employment type, seniority and **years of experience**, plus **tech stack and job function** — in clean JSON, CSV or Excel.

### Why use this actor

- **Any Personio company** — paste the careers URL or just the Personio name (e.g. `thermondo`). Both .de and .com hosts are supported.
- **Personio's structured fields** — department, recruiting category, employment type, schedule, seniority, years of experience, all offices.
- **Full descriptions** in plain text when you enable *Include full job description*.
- **Enrichment** — tech stack, normalised seniority and job function, visa sponsorship mentions.

### Use cases

- **DACH and European SMB prospecting** — Personio is a popular HR system among German-speaking and European SMBs.
- **Recruiting agencies** in Germany and Europe monitoring target employers.
- **Job boards** for the DACH market.

### How to use

1. Add companies: Personio careers URLs or Personio company names — one per line.
2. Choose the output: **jobs** (default) or add a company hiring-signal row. Add filters if you only need certain roles.
3. Click **Start**. Download results as JSON, CSV, Excel or HTML, or connect them to Google Sheets, Clay, Make, Zapier or n8n.

Example input:

```json
{
  "companies": [
    "https://thermondo.jobs.personio.de",
    "ottonova",
    "clark"
  ],
  "jobFunctions": [
    "engineering",
    "sales"
  ]
}
```

### Input options

| Field | What it does |
|---|---|
| `companies` | Personio careers URLs, custom career domains or Personio company names. |
| `output` | Jobs, company hiring signals, or both. |
| `includeDescription` | Add the plain-text job description to each job. |
| `trackChanges` | Flag new and closed roles since the previous run (use with a schedule). |
| `titleKeywords / excludeTitleKeywords` | Keep or drop jobs by words in the title. |
| `jobFunctions` | Engineering, data, product, design, sales, marketing, customer, operations, finance, people, legal, security, IT, research, healthcare. |
| `seniority` | Intern, junior, mid, senior, lead, manager, principal, director, executive. |
| `locations` | Keep jobs whose location contains any of these strings. |
| `remoteOnly` | Only fully remote jobs. |
| `postedWithinDays` | Only jobs posted in the last N days. |
| `maxJobsPerCompany` | Newest jobs first, capped per company. |

### Output

Each **job** row (real example from a run):

```json
{
  "recordType": "job",
  "companyName": "ottonova Technology Services GmbH",
  "companyDomain": null,
  "ats": "personio",
  "jobId": "2690964",
  "title": "Senior AI Engineer – Architecture & Platform (m/w/d)",
  "jobFunction": "data",
  "seniority": "senior",
  "department": "Data & Analytics",
  "team": "Technology",
  "employmentType": "permanent, full-time",
  "workplaceType": "hybrid",
  "remote": false,
  "location": "München",
  "city": "München",
  "country": null,
  "countryCode": null,
  "postedAt": "2026-06-29T15:20:46.000Z",
  "daysSincePosted": 111,
  "salaryMin": null,
  "salaryMax": null,
  "salaryCurrency": null,
  "salaryPeriod": null,
  "salarySource": null,
  "techStack": "LLMs, RAG, Vector databases, Kubeflow, AWS, Kubernetes, Docker, Terraform, Serverless, CI/CD",
  "minYearsExperience": 5,
  "visaSponsorship": null,
  "isNewSinceLastRun": null,
  "url": "https://ottonova.jobs.personio.de/job/2690964?language=en",
  "applyUrl": "https://ottonova.jobs.personio.de/job/2690964?language=en#apply",
  "careersUrl": "https://ottonova.jobs.personio.de",
  "scrapedAt": "2026-10-19T09:58:40.821Z"
}
```

Field notes:

- `jobFunction`, `seniority` and `techStack` are inferred from the title, department and description with deterministic rules — no AI guesswork, same input gives the same output.
- `salary*` fields come from the platform's structured pay data when available (`salarySource: "structured"`), otherwise from salary ranges written in the job text (`salarySource: "text"`).
- `isNewSinceLastRun` and the company `newJobsSinceLastRun` / `closedJobsSinceLastRun` are filled when **Track changes** is on and a previous run exists.

### Pricing

**Free during launch.** You pay only Apify's own platform usage, which is tiny for this actor: it reads public job-board feeds over plain HTTP, with no browser and no proxies (a typical small run uses well under $0.01 of platform credit).

Pay-per-result pricing will be introduced later; Apify notifies existing users in advance of any pricing change.

### Use it from code

Run the actor and get the results in one call (replace `<YOUR_TOKEN>` with your Apify API token):

```bash
curl -X POST "https://api.apify.com/v2/acts/kunnu_data~personio-jobs-scraper/run-sync-get-dataset-items?token=<YOUR_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"companies":["https://thermondo.jobs.personio.de","ottonova","clark"],"jobFunctions":["engineering","sales"]}'
```

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_TOKEN>' });
const run = await client.actor('kunnu_data/personio-jobs-scraper').call({"companies":["https://thermondo.jobs.personio.de","ottonova","clark"],"jobFunctions":["engineering","sales"]});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.length, items[0]);
```

```python
from apify_client import ApifyClient

client = ApifyClient("<YOUR_TOKEN>")
run = client.actor("kunnu_data/personio-jobs-scraper").call(run_input={"companies":["https://thermondo.jobs.personio.de","ottonova","clark"],"jobFunctions":["engineering","sales"]})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

### Run it daily and get only what changed

1. Save your input as a **Task** (Actor page → *Save as a new task*) with **Track changes** turned on.
2. In **Schedules**, run the task daily or weekly.
3. Each job then has `isNewSinceLastRun`, and each company row has `newJobsSinceLastRun` / `closedJobsSinceLastRun`. Connect the task to Google Sheets, Slack or a webhook to get alerts.

### Integrations and API

- **Google Sheets, Clay, Make, Zapier, n8n, Airbyte** via Apify integrations.
- **REST API and SDKs** (JavaScript, Python) — run the actor and fetch the dataset programmatically.
- **AI agents (MCP)** — the actor can be called by AI agents through the Apify MCP server; inputs and outputs are fully described by schemas.
- **Schedules** — run daily with *Track changes* on to get only what changed.

### FAQ

**Is this legal?** The actor reads only **publicly published job postings** from official public job-board feeds — no login, no private data, no personal contact details. You are responsible for using the data in line with applicable laws and the terms of the sites involved.

**A company was not found — why?** Check that it uses Personio (the careers page usually links to it) and paste the careers page URL. Unresolved inputs are listed in the `RUN_SUMMARY` record of the run's key-value store.

**How fresh is the data?** Live — every run reads the job boards at that moment.

**Something broke or you need a field?** Open an issue on the actor's Issues tab — every report is reviewed and fixes are prioritised.

### Related actors

- [Hiring Signals – Jobs & Company Intelligence (8 ATS)](https://apify.com/kunnu_data/hiring-signals)
- [Workable Jobs Scraper – Search All Workable Jobs](https://apify.com/kunnu_data/workable-jobs-scraper)
- [SmartRecruiters Jobs Scraper](https://apify.com/kunnu_data/smartrecruiters-jobs-scraper)
- [Recruitee Jobs Scraper](https://apify.com/kunnu_data/recruitee-jobs-scraper)
- [Teamtailor Jobs Scraper](https://apify.com/kunnu_data/teamtailor-jobs-scraper)
- [SEEK Jobs Scraper – Australia & New Zealand](https://apify.com/kunnu_data/seek-jobs-scraper)
- [Dice Jobs Scraper – US Tech Jobs](https://apify.com/kunnu_data/dice-jobs-scraper)
- [Google Trends Scraper – Interest, Regions & Related Queries](https://apify.com/kunnu_data/google-trends-scraper)

# Actor input Schema

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

One per line: a Personio job board URL, a custom careers site URL, or just the company's Personio name (e.g. "clark").

## `output` (type: `string`):

Jobs = one row per open job. Companies = one hiring-signal row per company (velocity, departments, tech stack, salaries). Both = company rows plus their jobs.

## `includeDescription` (type: `boolean`):

Adds the plain-text job description to each job row (larger dataset).

## `trackChanges` (type: `boolean`):

Remembers job IDs per company in a named key-value store in your account. On the next run each job gets isNewSinceLastRun and each company row gets new/closed counts. Ideal with a daily schedule.

## `titleKeywords` (type: `array`):

Keep jobs whose title contains at least one of these (case-insensitive).

## `excludeTitleKeywords` (type: `array`):

Drop jobs whose title contains any of these.

## `jobFunctions` (type: `array`):

Keep only these functions (inferred from title and department).

## `seniority` (type: `array`):

Keep only these seniority levels (inferred from title).

## `locations` (type: `array`):

Keep jobs whose location contains any of these, e.g. "London", "Germany", "US".

## `remoteOnly` (type: `boolean`):

Keep only fully remote jobs.

## `postedWithinDays` (type: `integer`):

Keep jobs posted in the last N days. 0 or empty = any age.

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

Newest jobs first. Company signal rows always use every open job that was fetched.

## Actor input object example

```json
{
  "companies": [
    "https://thermondo.jobs.personio.de",
    "ottonova",
    "clark"
  ],
  "output": "jobs",
  "includeDescription": false,
  "trackChanges": false,
  "remoteOnly": false,
  "maxJobsPerCompany": 1000
}
```

# Actor output Schema

## `jobs` (type: `string`):

No description

## `companies` (type: `string`):

No description

## `allResults` (type: `string`):

No description

## `runSummary` (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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "companies": [
        "https://thermondo.jobs.personio.de",
        "ottonova",
        "clark"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("kunnu_data/personio-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": [
        "https://thermondo.jobs.personio.de",
        "ottonova",
        "clark",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("kunnu_data/personio-jobs-scraper").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": [
    "https://thermondo.jobs.personio.de",
    "ottonova",
    "clark"
  ]
}' |
apify call kunnu_data/personio-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,kunnu_data/personio-jobs-scraper"
        }
    }
}
```

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 <APIFY_API_TOKEN>` 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/UQ2N1rD5xENWqXCWW/builds/OA5avIpR4BV3GWxbe/openapi.json