Xing.com Scraper — DACH Jobs with Salary & Remote Filter

What does Xing.com Jobs Scraper do?

Xing Scraper extracts structured job data from xing.com across the DACH region (Germany, Austria, Switzerland, Luxembourg, Netherlands) — salary ranges, contact details, company metadata, full descriptions, and remote-work indicators. Batch multiple search queries and locations in a single run, narrow by employment type, career level, discipline, industry, or salary, or supply direct job and search URLs. For deeper company context, opt in to the full company profile (offices with GPS, follower counts, size range, contact details).

Key features

• Batch multi-query search — run the cartesian product of queries[] × locations[] in one execution. One actor run, many search combinations, de-duplicated output.
• Six first-class filters — employmentType, careerLevel, discipline, industry, remote, and salary bounds applied at the source, not post-processed. Three additional client-side filters: country, remoteOption, daysOld.
• Start URLs — paste any Xing job, search, or company URL directly; the actor resolves them into the unified output pipeline.
• Company profiles (opt-in) — enable includeCompanyProfile to enrich each unique company with offices & GPS coordinates, follower count, size range, description, and contact email/phone.
• Incremental mode — recurring runs emit and charge only for listings that are new or whose tracked content changed. Cross-run repost detection included.
• Compact mode — AI-agent and MCP-friendly payloads with core fields only.

What data can you extract from xing.com?

Each result includes Core listing fields (jobId, xingId, globalId, slug, jobCode, serviceOfferingGroup, title, and portalUrl, and more), detail fields when enrichment is enabled (description, descriptionHtml, descriptionMarkdown, descriptionHeaderImage, and descriptionFooterImage), contact and apply information (applyUrl, contactEmail, contactPhone, and contactName), and company metadata (company, companyId, companySize, and companyIndustry). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions, company profiles, and contact information where the source provides them.

Input

The main inputs are an optional location filter and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• queries — Job search keywords. Provide multiple for batch mode (cartesian product with locations).
• locations — Cities or regions to search in (e.g. 'Berlin', 'Wien', 'Zürich'). Leave empty for country-wide search.
• locationRadius — Radius around each location in kilometers. (default: 30)
• startUrls — Direct Xing URLs: job detail (xing.com/jobs/...) or search URL (xing.com/jobs/search?...). Company URLs scraped when Include Company Profile is enabled.
• employmentType — Filter by employment type (one or more).
• careerLevel — Filter by career level (one or more).
• discipline — Filter by functional area (one or more).
• industry — Filter by industry (one or more; 72 available — first 20 shown, see docs for full list).
• remote — Shortcut to filter server-side for any remote-compatible job. (default: false)
• remoteOption — Fine-grained client-side filter by remote type (kept only if job matches).
• country — Client-side filter by job country code.
• salaryMin — Minimum annual salary in EUR (indicative — Xing filter is lenient).
• ...and 13 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "queries": [
    "software engineer"
  ],
  "maxResults": 50
}

Filtered search — Narrow results with advanced filters — only matching jobs are returned.

→ Same field set as basic search; fewer, more relevant rows.

{
  "queries": [
    "software engineer"
  ],
  "employmentType": [
    "FULL_TIME"
  ],
  "careerLevel": [
    "STUDENT"
  ],
  "industry": [
    "COMPUTER_SOFTWARE"
  ],
  "maxResults": 100
}

Incremental tracking — Only emit jobs that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "queries": [
    "software engineer"
  ],
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "software-engineer-tracker"
}

Compact filtered output — Combine filters with compact mode for a lightweight AI-agent or MCP data source.

→ Core fields only — ideal for piping into LLMs or downstream tools without token overhead.

{
  "queries": [
    "software engineer"
  ],
  "employmentType": [
    "FULL_TIME"
  ],
  "careerLevel": [
    "STUDENT"
  ],
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
  "jobId": "152773552.0c1c43",
  "xingId": "152773552.0c1c43",
  "globalId": "surn:x-xing:jobs:posting:152773552.0c1c43",
  "slug": "berlin-senior-software-engineer-152773552",
  "jobCode": null,
  "serviceOfferingGroup": 3,
  "title": "Senior Software Engineer (m/f/d)",
  "portalUrl": "https://www.xing.com/jobs/berlin-senior-software-engineer-152773552",
  "language": "en",
  "isPaid": true,
  "isTopJob": false,
  "company": "ML6",
  "companyId": "2008470.3c988d",
  "companySize": "51-200 Mitarbeitende",
  "companyIndustry": "Beratung, Consulting",
  "companyLogoUrl": "https://www.xing.com/imagecache/public/scaled_original_image/eyJ1dWlkIjoiMGJmZGMzZWQtMmI2OS00ODZjLThiY2MtY2JkYzhkZTJiM2Q5IiwiYXBwX2NvbnRleHQiOiJlbnRpdHktcGFnZXMiLCJtYXhfd2lkdGgiOjk2LCJtYXhfaGVpZ2h0Ijo...",
  "companyProfile": null,
  "location": "Berlin",
  "locations": [
    {
      "city": "Berlin",
      "zipCode": "13355",
      "street": "Max-Urich-Straße 3",
      "region": "Berlin",
      "countryCode": "DE"
    }
  ],
  "countryCode": "DE",
  "employmentType": "Vollzeit",
  "careerLevel": "Mit Berufserfahrung",
  "discipline": "IT und Softwareentwicklung",
  "industry": "Beratung, Consulting",
  "remoteOption": "hybrid",
  "remoteOptions": [
    "PARTLY_REMOTE"
  ],
  "salaryCurrency": "EUR",
  "salaryMin": 69500,
  "salaryMax": 94000,
  "salaryMedian": 82500,
  "salaryType": "estimate",
  "description": "As a software engineer, you'll contribute to our international growth by building robust software systems for our Machine Learning solutions on major cloud platforms. Translate and design technical so...",
  "descriptionHtml": "<p>As a software engineer, you'll contribute to our international growth by <strong>building robust software systems</strong> for our Machine Learning solutions on major <strong>cloud platforms</stron...",
  "descriptionMarkdown": "As a software engineer, you'll contribute to our international growth by **building robust software systems** for our Machine Learning solutions on major **cloud platforms**.\n\n- Translate and design t...",
  "descriptionHeaderImage": "https://static.xingcdn.com/jobs-details-backend/uy15in0au9qjm167oskc26m3qkpv",
  "descriptionFooterImage": "https://static.xingcdn.com/jobs-details-backend/0o1s0vufhy2jnm173iwd9epc9ov8",
  "applyUrl": "https://jobs.ml6.eu/jobs/7008973-senior-software-engineer?utm_source=xing.com",
  "applicationType": "UrlApplication",
  "contactEmail": null,
  "contactPhone": null,
  "contactName": null,
  "postedDate": "2026-04-01T08:23:10Z",
  "refreshedAt": "2026-04-16T08:23:10Z",
  "activeUntil": "2026-05-31T08:23:13Z",
  "keywords": [
    "python",
    "cloud",
    "ci",
    "cd",
    "git",
    "software",
    "ml6",
    "berlin",
    "germany"
  ],
  "sourceType": "search",
  "scrapedAt": "2026-04-18T22:55:16.521Z",
  "source": "xing.com",
  "contentHash": "1217aa4e6d4bdabb9b7c9e9d9bae6f6a7b42dfd5c42ef2d4d25b4d4be14201fb",
  "isRepost": false,
  "repostOfId": null,
  "repostDetectedAt": null,
  "changeType": "NEW"
}

Incremental fields

When incremental: true, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape xing.com

1. Go to Xing.com Jobs Scraper in Apify Console.
2. Configure the input and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, contact info, or company data.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from xing.com for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Build outreach lists using contact details and apply URLs from listings.
• Research company hiring patterns, employer profiles, and industry distribution.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape xing.com?

Xing.com Jobs Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.005 per run
• Per result: $0.00129 per job record

Example costs:

• 10 results: $0.02
• 100 results: $0.13
• 500 results: $0.65

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 200 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.26	$0.02	$0.25 (93%)	$0.54
15% — moderate broad query	$0.26	$0.04	$0.22 (83%)	$1.31
30% — high-volume aggregator	$0.26	$0.08	$0.18 (69%)	$2.47

Full re-scrape monthly cost at daily polling: $7.89. First month with incremental costs $0.78 / $1.53 / $2.65 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

FAQ

How many results can I get from xing.com?

The number of results depends on the search query and available listings on xing.com. Use the maxResults parameter to control how many results are returned per run.

Does Xing.com Jobs Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Xing.com Jobs Scraper with other apps?

Yes. Xing.com Jobs Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Xing.com Jobs Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Xing.com Jobs Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and descriptionMaxLength to keep payloads manageable for LLM context windows.

Is it legal to scrape xing.com?

This actor extracts publicly available data from xing.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

You might also like

• Adzuna Job Scraper — Scrape adzuna.com - the global job board with 20+ country markets. Structured salary.
• APEC.fr Scraper - French Executive Jobs — Scrape apec.fr - French executive job listings with salary ranges, company, location, skills,.
• Arbeitsagentur Scraper - German Jobs — Scrape arbeitsagentur.de - Germany’s official employment portal with 1M+ listings. Contact data,.
• AutoScout24 Scraper — Scrape autoscout24.com - Europe's largest used car marketplace with 770K+ listings. Structured.
• Bayt.com Scraper - Jobs from the Middle East — Scrape bayt.com - the leading Middle East job board. Salary data, experience requirements.
• Bilbasen Scraper - Denmark’s Car Marketplace — Scrape bilbasen.dk - Denmark’s largest car marketplace. Full vehicle specifications, seller.
• Bumeran Scraper — Scrape bumeran.com.ar - the largest job board across 8 LATAM countries. Work modality, contract.
• Cadremploi Job Scraper — Scrape cadremploi.fr - French management and executive jobs. Salary ranges, apply links.
• Kununu Scraper — pair with Xing Scraper for employer review data (ratings, culture, salaries). Xing company IDs map cleanly to kununu profiles.

Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.