Xing Jobs Scraper

hipersoft/xing-jobs-scraper

Scrape Xing job listings by keyword and location: title, company, location, employment type, salary estimates, posting date, apply link and full description. Filter by type, remote and date. For Germany, Austria and Switzerland.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per job scraped

$0.0015

Last rebuilt

Nov 4, 2026

Overview

Xing Jobs Scraper extracts job listings from Xing, the leading professional network in Germany, Austria and Switzerland: title, company, location, employment type, salary range, posting date, apply link and full description. Search by keyword and location, filter by employment type, remote work and date, and export to JSON, CSV or Excel.

Xing Jobs Scraper input — job search, location and filters

What does Xing Jobs Scraper do?

It runs your Xing job search and returns one clean row per job, with the salary range on most listings and a direct apply link on many. Turn on job details for the full description, industry and region. A test search for sales returned 712 jobs in under a minute.

What data can you scrape from Xing?

Data	Fields
Job	`jobId`, `title`, `employmentType`, `postedAt`, `activeUntil`, `url`
Company	`company`, `companyLogo`, `companyUrl`, `industry`
Location	`location`, `locations`, `region`, `postalCode`, `country`
Salary	`salaryMin`, `salaryMax`, `salaryMedian`, `salaryCurrency`, `isSalaryEstimate`
Applying	`applyUrl`, `isExternalApply`
Text	`description`

Use cases

Recruiting and sourcing: see which DACH companies are hiring for a role.
Salary benchmarking: compare ranges by role and city.
Job boards and alerts: feed in fresh German-market listings on a schedule.
Sales leads: find companies hiring for roles you serve.
Market research: track hiring demand across Germany, Austria and Switzerland.

How to scrape Xing jobs

Open Xing Jobs Scraper.
Add your job searches and a location.
Pick any filters.
Click Start.
Export to JSON, CSV, Excel or XML.

Input

{
  "keywords": ["python", "data engineer"],
  "location": "Berlin",
  "employmentTypes": ["FULL_TIME.ef2fe9"],
  "remoteOptions": ["PARTLY_REMOTE.ca71ca"],
  "postedWithinDays": 14,
  "includeDescription": true,
  "maxResultsPerSearch": 100
}

Field	Description
`keywords`	What to search for.
`location`	City or region.
`radiusKm`	Search around the location.
`employmentTypes`	Full-time, part-time, self-employed, intern, temporary, seasonal, voluntary. Pick from the list in the Console.
`remoteOptions`	Fully remote, partly remote or on site.
`postedWithinDays`	Only jobs posted or refreshed in the last N days.
`includeDescription`	Add full job details (default on). Turn off for faster lists.
`maxResultsPerSearch`	Jobs per search (default 100).
`maxConcurrency`	Job pages fetched at once (default 5).

Output

A real row, with long values shortened.

Xing Jobs Scraper output example — jobs with company, location and salary

{
  "jobId": "156675213",
  "title": "Python Developer Financial Services (all genders)",
  "company": "Exxeta",
  "companyLogo": "https://www.xing.com/imagecache/public/scaled_original_image…",
  "location": "Berlin",
  "locations": [
    "Berlin"
  ],
  "employmentType": "Full-time",
  "salaryMin": 59000,
  "salaryMax": 86000,
  "salaryMedian": 76000,
  "salaryCurrency": "EUR",
  "isSalaryEstimate": true,
  "postedAt": "2026-09-17T05:36:36Z",
  "activeUntil": "2027-01-22T21:35:50Z",
  "url": "https://www.xing.com/jobs/berlin-python-developer-financial-services-all-genders-156675213",
  "applyUrl": "https://career.exxeta.com/Python-Developer-Financial-Services-all-genders-de-j1018.html",
  "isExternalApply": false,
  "description": "Standorte: Karlsruhe, Berlin, Braunschweig, Essen, Frankfurt am Main, Hamburg, Leipzig, Ma…",
  "industry": "Consulting",
  "companyUrl": "https://www.xing.com/pages/exxetaag",
  "postalCode": null,
  "region": "Land Berlin",
  "country": "DE",
  "employmentTypeCode": "FULL_TIME",
  "searchKeyword": "python",
  "searchLocation": "Berlin",
  "collectedAt": "2026-11-04T16:37:08.339Z"
}

Output schema

Field	Type	Description
`jobId`	string	Xing job ID.
`title`	string	Job title.
`company` / `companyLogo` / `companyUrl`	string	The employer.
`location` / `locations`	string / array	Main city and all cities.
`region` / `postalCode` / `country`	string	With job details on.
`employmentType`	string	Full-time and so on.
`salaryMin` / `salaryMax` / `salaryMedian`	integer	Salary range as listed. Yearly on most estimates; a low range may be monthly, so check the listing.
`salaryCurrency`	string	Usually EUR.
`isSalaryEstimate`	boolean	True when the range is Xing's estimate rather than the employer's figure.
`postedAt`	string (ISO date)	When it was posted or refreshed.
`activeUntil`	string (ISO date)	When the listing ends.
`url`	string (URL)	The job on Xing.
`applyUrl`	string (URL)	Direct apply link, when the listing has one.
`isExternalApply`	boolean	Whether the listing redirects to another site.
`description`	string	Full text, with job details on.
`industry`	string	With job details on.
`searchKeyword` / `searchLocation`	string	The search that found it.
`collectedAt`	string (ISO date)	When the row was collected.

Need more job data?

StepStone Scraper: another major German job board.
Google Jobs Scraper: jobs from many boards at once.
ATS Jobs Scraper: company career sites.

FAQ

How much does it cost? You pay per job delivered, shown on the Pricing tab. Set a maximum cost per run and it stops cleanly at that limit, storing only what you paid for.

How many jobs can I get? Up to about 1,000 per search, which is as far as Xing's results go. Split bigger searches by city or keyword.

Are the salaries real? Many are Xing's estimates, marked by isSalaryEstimate. Others come from the listing. Treat estimates as a guide.

Which countries does it cover? Whatever Xing lists, mainly Germany, Austria and Switzerland.

Does it collect people's profiles? No. Only job listings and company details.

Can I connect this to other tools? Yes, through integrations on the Apify platform: Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API and webhooks.

Is it legal to scrape Xing? It returns publicly listed job information. You are responsible for how you use it, including Xing's terms and privacy law.

Feedback

How did it go? Good or bad, a review helps other users decide and tells us what to improve. Something broken or missing? Open an issue and we'll look at it.

Notes

Independent tool, not affiliated with Xing or New Work SE. Returns only public data; you are responsible for how you use it.

Input

Field	Type	Description
`keywords` Job searches	array	What to search for, one per line.
`location` Location	string	City or region. Example: Berlin, Munich, Vienna, Zürich.
`radiusKm` Radius (km)	integer	Search around the location. Empty uses Xing's default.
`employmentTypes` Employment type	array	Empty keeps all.
`remoteOptions` Remote	array	Empty keeps all.
`postedWithinDays` Posted within (days)	integer	Only jobs posted or refreshed in the last N days.
`includeDescription` Include full job details	boolean	Add the description, industry and region. Slower; turn off for quick lists. Default: `true`
`maxResultsPerSearch` Max jobs per search	integer	How many jobs to collect per search. Default: `100`
`maxConcurrency` Parallel requests	integer	Job pages fetched at once. Default: `5`
`proxyConfiguration` Proxy	object	Optional. Usually not needed.

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~xing-jobs-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "keywords": [
    "python"
  ],
  "location": "Berlin"
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/xing-jobs-scraper").call(run_input={
    "keywords": [
        "python"
    ],
    "location": "Berlin"
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/xing-jobs-scraper').call({
  "keywords": [
    "python"
  ],
  "location": "Berlin"
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Job scraped One job listing delivered.	$0.0015	$0.0008

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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