XING Jobs Scraper: DACH Jobs with Salary [USD 0.75/1K] avatar

XING Jobs Scraper: DACH Jobs with Salary [USD 0.75/1K]

Pricing

from $0.75 / 1,000 jobs

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XING Jobs Scraper: DACH Jobs with Salary [USD 0.75/1K]

XING Jobs Scraper: DACH Jobs with Salary [USD 0.75/1K]

Scrape XING job ads in Germany, Austria and Switzerland by job title and city: title, employer, place, stated salary with period, employment type, remote/hybrid, career level, discipline, full description and dates. USD 0.75 per 1,000 jobs.

Pricing

from $0.75 / 1,000 jobs

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XING Jobs Scraper: jobs in Germany, Austria and Switzerland

Scrape job ads from XING, the professional network of the German-speaking countries, by job title and city: title, employer, city, region and postcode, salary stated by the employer (with its period), employment type, remote / hybrid / on-site, career level, discipline, industry, full description, publication and expiry dates, and the apply link. Export to CSV, Excel or JSON, or use the API.

USD 0.75 per 1,000 jobs. No login, no browser.

What you get

  • Stated salaries only, by default. XING shows its own salary estimates on most list entries; they are kept apart in extra.salaryEstimate (or put in the salary fields if you switch on "include salary estimates"), never mixed in silently.
  • Work place option (remote, hybrid, on-site), career level and discipline from each job page.
  • Full description and exact dates from the job page's structured data.

Input examples

Nurses in Berlin:

{ "keywords": ["Pflegefachkraft"], "locations": ["Berlin"], "maxJobs": 50 }

Software developers in several cities, new jobs only (daily schedule):

{ "keywords": ["Softwareentwickler"], "locations": ["München", "Hamburg", "Wien", "Zürich"], "onlyNewJobs": true }

Good to know

XING shows readable jobs on its city job pages (keyword in a city), about 20 per page, and hides some entries from visitors who are not logged in. This scraper reads those public pages, so give one or more cities for each job title (if you give none, it searches nine large DACH cities). Very broad searches return the newest part of XING's results per city, not every job XING lists.

Who uses it

  • Recruiters and staffing agencies in DACH: new vacancies by title and city every morning.
  • Salary research: employer-stated salaries by role and region.
  • Sales teams: companies hiring in your market (company data only, no personal data).

Output: one row per job

Every Actor in this family writes the same columns, so you can merge boards in one sheet or database.

FieldWhat it holds
jobIdThe board's own job id
title, companyJob title and hiring company (as the board shows them)
companyUrl, companyLogoUrlCompany page and logo on the board, when given
location, city, region, postalCode, countryLocation as shown, and its parts; country is an ISO code (FR, DE, US...)
remote, workplaceTypetrue/false and remote, hybrid or onsite, only when the board says so
salaryMin, salaryMax, salaryCurrency, salaryPeriod, salaryTextSalary range as numbers, ISO currency, HOUR/DAY/WEEK/MONTH/YEAR; empty when the board gives none (never guessed)
employmentType, employmentTypeTextFULL_TIME, PART_TIME, TEMPORARY, INTERN, APPRENTICE, CONTRACTOR, FREELANCE..., and the board's own wording
experienceLevel, category, skillsWhen the board gives them
datePosted, validThroughISO 8601 dates
descriptionText, descriptionHtmlFull description as plain text and as HTML
applyUrl, jobUrlWhere to apply, and the job's page on the board
sourceBoard, searchLabel, scrapedAtWhich board, which of your searches found it, when
duplicateKeyThe same key for the same ad posted on several boards (or reposted): title without (m/w/d) or H/F tags, company without legal form, city, country. Use it to merge results from several of our board Actors
extraA few fields only this board has

Contact email addresses and phone numbers inside descriptions are removed: this Actor never collects recruiters' personal contact details.

Job alerts: only new jobs, sent where you work

  1. Switch on Only new jobs since the last run and schedule the Actor (daily, hourly). It remembers the jobs it has already delivered for the same searches and filters, in a key-value store on your own account (named job-boards-seen-
  2. Paste a Slack or Discord webhook (or a Zapier or Make webhook, which can email you) into Send new jobs to. After each run that found new jobs you get one message with the count and up to 10 jobs with their links. Free: the message is never billed.

Apify's own integrations (Google Sheets, email, webhooks) work too.

Pricing

Pay per job saved: USD 0.75 per 1,000 jobs (USD 0.00075 a job), plus USD 0.002 per run start. No monthly rental, no charge for jobs skipped as duplicates, already seen or filtered out. Set a maximum cost per run in Apify and the Actor stops just before it, keeping everything saved so far.

Use it through the API

curl -X POST "https://api.apify.com/v2/acts/usefulapi~xing-jobs-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
-H "Content-Type: application/json" \
-d '{"keywords":["Pflegefachkraft"],"locations":["Berlin"],"maxJobs":20}'

Python: ApifyClient("YOUR_API_TOKEN").actor("usefulapi/xing-jobs-scraper").call(run_input={...}), then read the dataset items.

Good to know

  • Polite by design: one request at a time per site with a pause between requests, and the site's robots.txt is followed. Runs read public job pages only: no login, no candidate profiles or CVs.
  • What a run summary tells you: the OUTPUT record has jobs saved per search, jobs skipped (duplicates, seen before, too old) and why a run stopped early, if it did.
  • Is it legal? The Actor reads job ads that the board publishes openly, the same pages a job seeker sees. You are responsible for how you use the data (for example, the board's terms and data protection rules in your country).
  • Found a problem? Open an issue on the Issues tab: we answer quickly.