Xing.com Scraper 💰 $0.99/1K — DACH Jobs, Salary & Remote

What does Xing.com Scraper do?

Xing.com Scraper extracts structured job data from xing.com — including salary data, apply URLs, company metadata, full descriptions, and remote-work indicators. It supports location filters and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions and company profiles) where the source provides them.

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Key features

• 🎯 Three modes in one actor — jobs 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?

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), apply information (applyUrl), 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 and company profiles 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:

• mode — Which vertical to scrape on this run. One mode per run. (default: "jobs")
• companyInputs — Used by companyProfiles and companyEmployees modes. Accepts:
• bare slug: sap
• full URL: https://www.xing.com/pages/sap
• subpath URL: https://www.xing.com/pages/sap/employees

Leave empty for jobs mode.

• maxEmployees — Hard cap on rows returned per company in companyEmployees mode. Default 100 keeps cost predictable on probe runs. Raise it for full enumeration. (default: 100)
• employeeSort — How the employee list is ordered. (default: "CONNECTION_DEGREE")
• employeeFilters — Optional filters applied to the employee list. Currently supported: { "hasPhoto": true } to limit results to employees with a profile photo. (default: {})
• queries — Job search keywords (used by jobs mode). 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).
• ...and 31 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.

{
  "mode": "jobs",
  "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 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, 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.
• Auto-apply or feed apply URLs into your ATS / hiring pipeline.
• 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 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: $0.00099 per job record

Example costs:

• 10 results: $0.01
• 25 results: $0.03
• 100 results: $0.1
• 200 results: $0.2
• 500 results: $0.5

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	$0.20	$0.01	$0.19 (93%)	$0.45
15% — moderate broad query	$0.20	$0.03	$0.17 (83%)	$1.04
30% — high-volume aggregator	$0.20	$0.06	$0.14 (68%)	$1.93

Full re-scrape monthly cost at daily polling: $6.09. First month with incremental costs $0.64 / $1.21 / $2.07 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 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, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields 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.

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Getting started with Apify

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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

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