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

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

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

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

Scrape xing.com — DACH jobs across Germany, Austria, Switzerland, Luxembourg, and the Netherlands. Extract salary ranges and contact details, then monitor recurring searches with incremental updates.

Pricing

from $1.29 / 1,000 results

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Developer

Black Falcon Data

Black Falcon Data

Maintained by Community

Actor stats

2

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12

Total users

5

Monthly active users

10 hours ago

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What does Xing.com Scraper do?

Xing Scraper extracts structured data from xing.com across the DACH region (Germany, Austria, Switzerland, Luxembourg, Netherlands) — across three modes in one actor:

  • 🔍 Jobs — search Xing jobs with salary, location, remote, employment type, career level, discipline, and industry filters
  • 🏢 Company Profiles — fetch entity-page data per company (name, size, industry, logo, employees count)
  • 👥 Company Employees — retrieve the employee list for a company (name, occupation, profile URL, photo)

Pick one mode per run via the mode input field. Default is jobs for back-compat. For company and employee modes, paste company slugs or /pages/<slug> URLs into companyInputs.

New to Apify? Sign up free and use the included $5 monthly platform credit to test this actor.

Key features

  • 🎯 Three modes in one actorjobs for Xing job search, companyProfiles for company entity data, and companyEmployees for employee lists. Pick one mode per run.
  • 👥 Company employee lists — paginate employee rosters with name, occupation, profile URL, and photo. Use maxEmployees to control run size.
  • 🏢 Company profile lookup — paste a slug or /pages/<slug> URL to get company ID, name, size, logo, and employee count.
  • 🌎 5-market job coverage — DACH+Benelux job search on xing.com with country, location, remote, employment type, career level, discipline, and industry filters.
  • ♻️ Incremental job monitoring — recurring job runs emit only NEW / UPDATED / REAPPEARED records by default, with optional UNCHANGED and EXPIRED records.
  • 🔔 Notifications — Telegram, Slack, Discord, WhatsApp Cloud API, and generic webhook support for job monitoring workflows.
  • 🔗 Paste-mode for jobs — paste Xing job detail or job search URLs directly from your browser and turn them into structured job records.
  • 📋 Detail enrichment — enrich job listings with full descriptions, apply fields, contact extraction, and optional company profile data.
  • 💰 Structured salary — salary fields are returned as salaryMin, salaryMax, salaryCurrency, and salary period where available.
  • 📦 Compact output — AI-agent and MCP-friendly job payloads with core fields only for downstream tools and LLM context.

What data can you extract from xing.com?

The actor returns one record shape per mode:

  • Jobs (recordType: "job") — listing identifiers, title, company, location, employment type, remote option, salary fields, apply URL, source URL, content hash, and optional detail fields such as full descriptions and contact extraction.
  • Company profiles (recordType: "company") — company ID, slug, name, profile URL, logo, company size, employee count, and scrape timestamp.
  • Company employees (recordType: "companyEmployee") — company ID/slug, Xing profile ID, display name, profile URL, occupation subline, photo URL, display flags, and truncation metadata.

In standard mode, job fields are always present where the schema defines them — unavailable data points are returned as null, never omitted. Company and employee modes return their mode-specific fields. In compact job mode, only core job fields are returned.

In jobs mode, enable detail enrichment to get richer fields such as full descriptions and optional company-profile enrichment where the source provides it.

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 job detail URLs (xing.com/jobs/...) or job search URLs (xing.com/jobs/search?...). For company profile or employee extraction, use companyInputs.
  • 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 keep remote-compatible jobs. (default: false)
  • remoteOption — Fine-grained filter by remote type.
  • country — Filter by job country code.
  • salaryMin — Minimum annual salary in EUR (indicative — Xing filter is lenient).
  • ...and 24 more parameters

Mode-specific inputs

companyProfiles mode:

  • companyInputs — Array of company slugs or /pages/<slug> URLs. Accepts mixed forms.
  • (Optional) mode — Set to "companyProfiles".

companyEmployees mode:

  • companyInputs — same as above.
  • maxEmployees — Hard cap per company. Default 100. Raise for full enumeration.
  • employeeSortCONNECTION_DEGREE (default) or ALPHABETICAL.
  • employeeFilters — JSON object, e.g. { "hasPhoto": true } to skip employees without a profile photo.

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
}

Company profile lookup — Return structured company records for one or more Xing company pages.

{
"mode": "companyProfiles",
"companyInputs": [
"sap",
"https://www.xing.com/pages/atruvia"
]
}

Company employees preview — Return employee records for a company, capped for predictable cost.

{
"mode": "companyEmployees",
"companyInputs": [
"atruvia"
],
"maxEmployees": 20,
"employeeSort": "CONNECTION_DEGREE"
}

Output

Each run produces a dataset of structured records for the selected mode. 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"
}

Example company record (companyProfiles mode)

{
"recordType": "company",
"companyId": "32239.884db9",
"slug": "atruvia",
"name": "Atruvia AG",
"globalId": "surn:x-xing:entitypages:page:243.67981f",
"url": "https://www.xing.com/pages/atruvia",
"logoUrl": "https://www.xing.com/...256x256.png",
"companySize": "1,001-5,000 employees",
"employeesCount": 2959,
"scrapedAt": "2026-05-12T21:28:17.361Z",
"source": "xing.com"
}

Example employee record (companyEmployees mode)

{
"recordType": "companyEmployee",
"companyId": "32239.884db9",
"companySlug": "atruvia",
"xingId": "24814965.b50036",
"firstName": "Mohamed",
"lastName": "Abid",
"lastNameTruncated": false,
"displayName": "Mohamed Abid",
"pageName": "Mohamed_Abid4",
"profileUrl": "https://www.xing.com/profile/Mohamed_Abid4",
"gender": "MALE",
"displayFlag": "BASIC",
"occupationSubline": "Test Automation Engineer",
"profileImageUrl": "https://profile-images.xing.com/...256x256.jpg",
"scrapedAt": "2026-05-12T21:28:17.361Z",
"source": "xing.com"
}

Xing truncates last names to a single letter for non-logged-out viewers in some cases (e.g. "Jane B"). When that happens, lastNameTruncated is set to true so downstream consumers can filter without false matches.

Incremental fields

When incrementalMode: true, each job 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 Scraper in Apify Console.
  2. Choose a mode and configure the relevant search or company inputs.
  3. Set maxResults for jobs or maxEmployees for company employees to control how many records you need.
  4. Enable includeDetails in jobs mode if you need full job descriptions.
  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.
  • Auto-apply or feed apply URLs into your ATS / hiring pipeline.
  • Research company hiring patterns, employer profiles, and industry distribution.
  • Build company research lists from Xing company pages.
  • Source employee/profile leads for target-account research.
  • 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 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 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 rateFull re-scrape run costIncremental run costSavings vs full re-scrapeMonthly 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 selected mode and available data on xing.com. In jobs mode, use maxResults to control job listings returned per run. In companyEmployees mode, use maxEmployees to cap employee records per company. companyProfiles returns one company record per resolved company input.

Does Xing.com 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 Scraper with other apps?

Yes. Xing.com 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 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 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.

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.

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  1. Sign up — $5 platform credit included
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