# Data Scientist Jobs in Germany on LinkedIn

**Use case:** 

Find recent data scientist openings in Germany on LinkedIn. Each job can include its posting date, salary range and source, applicant count, employer details, and job URL. Change the searchQueries, locations, or timePosted inputs to adjust the roles, region, or posting window.

## Input

```json
{
  "searchQueries": [
    "data scientist"
  ],
  "locations": [
    "Germany"
  ],
  "distance": "",
  "timePosted": "r604800",
  "easyApply": false,
  "under10Applicants": false,
  "experienceLevel": "",
  "jobType": "",
  "industry": [],
  "companySizes": [],
  "excludeStaffingAgencies": false,
  "requireSalary": false,
  "salaryCurrency": "",
  "requireRecruiter": false,
  "scrapeJobDetails": false,
  "includeCompanyDetails": false,
  "enrichmentDepth": "standard",
  "language": "en",
  "splitLargeSearches": true,
  "maxItems": 20
}
```

## Output

```json
{
  "title": {
    "label": "Job title",
    "format": "text"
  },
  "companyName": {
    "label": "Company",
    "format": "text"
  },
  "location": {
    "label": "Location",
    "format": "text"
  },
  "salary": {
    "label": "Salary",
    "format": "text"
  },
  "salarySource": {
    "label": "Salary source",
    "format": "text"
  },
  "applicantCount": {
    "label": "Applicants",
    "format": "text"
  },
  "easyApply": {
    "label": "Easy Apply",
    "format": "boolean"
  },
  "employmentType": {
    "label": "Type",
    "format": "text"
  },
  "seniorityLevel": {
    "label": "Seniority",
    "format": "text"
  },
  "postedDate": {
    "label": "Posted",
    "format": "text"
  },
  "expiresAt": {
    "label": "Expires",
    "format": "text"
  },
  "jobUrl": {
    "label": "Job link",
    "format": "link"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The LinkedIn Job Listings with Salary & Company Data Scraper Actor is ready to run with the inputs already set for "Data Scientist Jobs in Germany on LinkedIn". [Sign up or log in](https://console.apify.com/create-task-from-example/Pjfq2kGBVgLagKLzj) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Data Scientist Jobs in Germany on LinkedIn" task

The LinkedIn Job Listings with Salary & Company Data Scraper Actor will start running based on the input automatically. You can also change all the input fields, like search keywords, locations, and more, to match your specific use case.

### 3. Receive the "Data Scientist Jobs in Germany on LinkedIn" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as job title, company, location, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Data Scientist Jobs in Germany on LinkedIn" task via API](https://apify.com/xyrelith-data/linkedin-jobs-scraper.md).

## FAQ

### What details do LinkedIn job listings in Germany include?

Each result from the German data scientist jobs task can include the employer, location, salary and its source, applicant count, Easy Apply status, seniority, posting date and job link.

### Can I see salary ranges for data scientist jobs in Germany?

Salary details in the German data scientist jobs task include the pay range and whether it came from LinkedIn’s pay box or the job description, when available.

### How do I change the LinkedIn job search to another city or role?

Set the role keywords and locations for the German data scientist jobs task to search different phrases or places; each keyword is searched in every listed location, with duplicates merged.

### How many LinkedIn job results can I get for Germany?

The German data scientist jobs task is set to save up to 20 jobs. A single keyword and location search can return at most 1,000 jobs.

### Does finding data scientist jobs on LinkedIn require a login or API key?

You can run the German data scientist jobs task without a LinkedIn account, login or cookies; no API key is listed as a requirement.

### How much does it cost to get 20 LinkedIn job results?

For up to 20 results, the German data scientist jobs task has a result charge of at most $0.02 on the Free plan, plus Apify compute usage and the Actor start event charge.

### Can I download LinkedIn job results as a spreadsheet?

Results from the German data scientist jobs task can be downloaded as CSV or Excel, as well as JSON, XML, RSS or an HTML table.

### How can I monitor new data scientist jobs in Germany every week?

Schedule the German data scientist jobs task through Apify Schedules to repeat the search; it is configured to look at jobs posted or reposted within the past week.

### Can I use LinkedIn job results in an automated workflow?

Results from the German data scientist jobs task can be accessed through the Apify API or integrations such as Zapier, Make and n8n. The person running it is responsible for complying with site terms and data-protection laws.

## About this Actor

This example demonstrates how to use [LinkedIn Job Listings with Salary & Company Data Scraper](https://apify.com/xyrelith-data/linkedin-jobs-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/xyrelith-data/linkedin-jobs-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/xyrelith-data/linkedin-jobs-scraper.md

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`).