Xing Scraper — Jobs, Companies & Profiles ($1.19 / 1k)

How it works

All-in-one Xing scraper at $1.19 per 1,000 results. Paste any xing.com URL — job search, single job, company page, or member profile — and get a flat row per record with 35+ fields. Or skip URLs entirely: search by keyword + location + discipline, or paste a bulk list of company slugs.

Input you provide	Row(s) emitted
xing.com/jobs/search?keywords=…	One job row per listing across all pages
xing.com/jobs/{slug} (single job)	One job row
xing.com/pages/{company-slug}	One company row with employees, jobs, locations
xing.com/profile/{user}	One profile row with work timeline, education, skills
keyword + location + discipline	Generates a canonical search URL, then same as row 1
companyTargets: ["bayer", "sap", …]	One company row per slug — same shape as the URL-driven path

Pure HTTP. No browser, no third-party CAPTCHA service, no CF-bypass proxy.

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Why use this scraper?

• Only Xing actor on Apify Store that handles all four URL types (jobs search, single job, company page, member profile) — most competitors only do one.
• $1.19 / 1k — matches the category leader's price while doing 3× more (jobs + companies + profiles, not jobs-only).
• Bulk-companies shortcut: paste a list of slugs (bayer, sap, basf) without building URLs — same convenience as maximedupre/xing-companies-scraper, but plus jobs and profiles in the same run.
• Salary + Kununu rating + apply URL captured on every job row — no second fetch needed.
• Full company pages parsed from the SSR Apollo state: followers, employees with profile URLs, every job posting, all office locations with coordinates and contact info.
• Built-in filters for employment type, career level, remote option, and salary range — narrow your dataset without post-processing.
• GDPR-aware: only public profile data, no logged-in scraping, no private fields.

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1. Classifier. Each input URL is matched against jobs/{slug}, pages/{slug}, profile/{user}, or treated as a search URL. The classifier picks the matching GraphQL operation and headers.
2. Fetch. Requests go through Apify Residential proxy via got-scraping. For company pages, the SSR HTML is parsed with Cheerio for the window.crate.serverData.APOLLO_STATE blob; everything else is GraphQL.
3. Pagination. Job-search results paginate via GraphQL offset/limit until maxItems is hit or the result set ends.
4. Emit. Each row is flattened (no __typename, no nested noise) and pushed to the Apify dataset. The job row is the same shape whether it came from a search page or a direct /jobs/{slug}.

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Supported inputs

Job search URLs

https://www.xing.com/jobs/search?keywords=developer&location=berlin&radius=10
https://www.xing.com/jobs/search?keywords=designer&location=munich&facets%5B%5D=discipline&discipline=Design

Single job URLs

https://www.xing.com/jobs/senior-backend-engineer-12345678

Company pages

https://www.xing.com/pages/spectrumag
https://www.xing.com/pages/sap

Member profiles

https://www.xing.com/profile/Marko_RoeperGrewe

Filter-only mode (no URL)

Provide keyword + location + optional discipline/radius — the actor builds the canonical search URL and runs it.

Bulk companies (URL or slug shortcut)

Skip building URLs for each company — paste the slugs directly:

"companyTargets": [
  "https://www.xing.com/pages/sap",
  "bayer",
  "basf",
  "spectrumag"
]

Each entry can be a full URL or a bare slug (anything that follows xing.com/pages/). Entries are merged into startUrls at run time and routed to the same company row handler — so output is identical to the URL path.

Company names with spaces (e.g. "Bayer AG") aren't auto-resolved yet — paste the slug instead. Invalid entries are skipped with a warning in the log, not silently dropped.

Advanced filters (post-fetch)

Set any of these to narrow the dataset to only matching rows:

Filter	Works without includeListingDetails	Notes
employmentType	✓	Multi-select: FULL_TIME, PART_TIME, INTERN, CONTRACTOR, FREELANCE, TEMPORARY, OTHER
salaryMin / salaryMax	✓	Annual €. Set 0 to disable. Matches against the row's salary range.
careerLevel	✗	Requires includeListingDetails: true — the field only appears in detail rows.
remoteOption	✗	Requires includeListingDetails: true — same reason.

Filters are applied after rows are fetched, so you still pay for the raw rows that get dropped. For typical search sizes the difference is negligible.

Unsupported

• Logged-in-only views (private profiles, premium contact info)
• xing.com/communities/*, xing.com/news/*, xing.com/insights/*
• Job applications (we only read, never apply)

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Use cases

Audience	What they pull
Recruiters / talent ops	Job listings (salary, employment type, apply URL) by region + discipline; build a German-market vacancy feed
Sales / lead-gen	Company pages — followers, employee count, office addresses, websites → outbound list
HR-tech & ATS vendors	Combined job + company rows to enrich applicant submissions with employer Kununu rating
Market researchers	Discipline + location aggregates for DACH labour-market reports
Recruiting CRMs	Profile timeline + skills → enrichment for German candidate records

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Input configuration

Field	Type	Required	Notes
startUrls	array of { url }	one of these is required	Mix any URL types (search, job, profile, company).
companyTargets	array of strings	one of these is required	Bulk-companies shortcut: each entry is a full URL OR a bare slug ("bayer"). Merged into startUrls at run time.
keyword	string	one of these is required	Job title / skill keywords. Overrides title.
title	string	—	Alias for keyword (legacy). Ignored if keyword is set.
location	string	—	E.g. Berlin, Munich. Used when no URL is provided, or to fill gaps when a URL omits it.
discipline	string	—	Xing discipline label, e.g. Technology.
radius	integer	—	Search radius in km. Default 10.
employmentType	array of enums	—	Multi-select. Drops jobs that don't match. Default: keep all.
careerLevel	array of enums	—	Multi-select. Requires includeListingDetails: true.
remoteOption	array of enums	—	Multi-select (FULL_REMOTE, PARTLY_REMOTE, NON_REMOTE). Requires includeListingDetails: true.
salaryMin	integer	—	Min annual salary in EUR. 0 disables.
salaryMax	integer	—	Max annual salary in EUR. 0 disables.
maxItems	integer	—	Hard cap on emitted rows. Free users capped at 100.
maxConcurrency	integer	—	Default 10. Crank up for paid runs on big seeds.
minConcurrency	integer	—	Default 1.
maxRequestRetries	integer	—	Default 3.
proxy	object	—	Apify proxy config. Defaults to RESIDENTIAL.

Example input

{
  "startUrls": [
    { "url": "https://www.xing.com/jobs/search?keywords=developer&location=berlin&radius=10" },
    { "url": "https://www.xing.com/pages/spectrumag" },
    { "url": "https://www.xing.com/profile/Marko_RoeperGrewe" }
  ],
  "maxItems": 200,
  "proxy": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}

Or, with no URLs:

{
  "keyword": "Senior Backend Engineer",
  "location": "Berlin",
  "discipline": "Technology",
  "radius": 25,
  "employmentType": ["FULL_TIME"],
  "salaryMin": 60000,
  "maxItems": 100
}

Or, bulk-companies via slugs:

{
  "companyTargets": [
    "https://www.xing.com/pages/sap",
    "bayer",
    "basf",
    "spectrumag"
  ],
  "maxItems": 100
}

---

Output overview

One flat row per record. Three row shapes (job, company, profile) — same dataset, distinguish by the presence of scrapedType or the unique fields.

Job row (sample, shortened)

{
  "id": "12345678",
  "url": "https://www.xing.com/jobs/senior-backend-engineer-12345678",
  "title": "Senior Backend Engineer (m/w/d)",
  "companyName": "Spectrum AG",
  "location": "Berlin",
  "country": "Deutschland",
  "remoteOptions": "REMOTE_FRIENDLY",
  "salaryMin": 70000,
  "salaryMax": 95000,
  "salaryCurrency": "EUR",
  "employmentType": "FULL_TIME",
  "careerLevel": "SENIOR",
  "discipline": "Engineering",
  "industry": "Software",
  "datePosted": "2026-05-20T08:00:00Z",
  "validThrough": "2026-07-20T08:00:00Z",
  "description": "We're looking for a Senior Backend Engineer to …",
  "keywords": "Node.js, TypeScript, PostgreSQL, AWS",
  "applyUrl": "https://www.xing.com/jobs/apply/12345678",
  "companyLogo": "https://images.xing.com/...",
  "companyUrl": "https://www.xing.com/pages/spectrumag",
  "kununuRating": 4.3,
  "kununuCompanyUrl": "https://www.kununu.com/de/spectrum-ag",
  "socialWebsite": "https://spectrum.example",
  "socialLinkedin": "https://linkedin.com/company/spectrum",
  "scrapedAt": "2026-05-28T07:00:00Z"
}

Company row (sample, shortened)

{
  "scrapedType": "company",
  "url": "https://www.xing.com/pages/spectrumag",
  "id": "98765",
  "name": "Spectrum AG",
  "profilePicture": "https://images.xing.com/...",
  "followers": 12450,
  "employeesNumber": 320,
  "industry": "Software",
  "foundedYear": 2010,
  "websiteUrl": "https://spectrum.example",
  "kununuRating": 4.3,
  "headline": "Building the future of B2B SaaS",
  "summary": "Spectrum AG is a Berlin-based …",
  "description": "Full company about-us text …",
  "employees": [
    { "name": "Anna Müller", "url": "https://www.xing.com/profile/anna_muller", "occupations": ["VP Engineering"] }
  ],
  "jobs": [
    { "title": "Senior Backend Engineer", "url": "https://www.xing.com/jobs/...", "location": { "city": "Berlin" } }
  ],
  "locations": [
    {
      "label": "HQ Berlin",
      "city": "Berlin",
      "address": "Friedrichstr. 100",
      "postCode": "10117",
      "coordinates": { "latitude": 52.5176, "longitude": 13.3884 },
      "country": { "countryCode": "DE", "localizationValue": "Germany" },
      "contactInfo": { "phoneNumber": "+49 30 12345678", "websiteURL": "https://spectrum.example" }
    }
  ],
  "scrapedAt": "2026-05-28T07:00:00Z"
}

Profile row (sample, shortened)

{
  "scrapedType": "profile",
  "url": "https://www.xing.com/profile/Marko_RoeperGrewe",
  "name": "Marko Roeper-Grewe",
  "isPremium": true,
  "occupation": "Head of Engineering",
  "location": "Berlin, Germany",
  "tags": ["Node.js", "TypeScript", "Team Leadership"],
  "timeline": [
    { "time": "2023 – present", "occupation": "Head of Engineering", "organizationName": "Spectrum AG" },
    { "time": "2020 – 2023", "occupation": "Engineering Manager", "organizationName": "Previous Co" }
  ],
  "education": [
    { "title": "M.Sc. Computer Science", "school": "TU Berlin" }
  ],
  "languages": [
    { "name": "German", "level": "First Language" },
    { "name": "English", "level": "Fluent" }
  ],
  "interests": ["distributed systems", "mentoring"],
  "scrapedAt": "2026-05-28T07:00:00Z"
}

---

Key output fields

Job rows

• Identity: id, slug, url, title
• Company: companyName, companyLogo, companyUrl, companyAddress, companySize, kununuRating
• Compensation: salaryMin, salaryMax, salaryMedian, salaryCurrency
• Classification: employmentType, careerLevel, discipline, industry, remoteOptions
• Content: description (full text), keywords (skills list), applyUrl
• Social: socialWebsite, socialFacebook, socialTwitter, socialYoutube, socialLinkedin, socialInstagram

Company rows

• Identity: id, name, url, profilePicture
• Scale: followers, employeesNumber, companySizeRange.min/max
• About: headline, summary, description, foundedYear, websiteUrl, legalNotice
• Relations: employees[], jobs[], locations[]
• Trust: kununuRating, industry

Profile rows

• Identity: id, name, firstName, lastName, pageName, displayName
• Status: isPremium, occupation, location, city, country
• Timeline: timeline[] (jobs in chronological order)
• Education: education[], highestEducationDegree, highestEducationSchool
• Skills: tags[], languages[], interests[], wants[]

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Pricing

Event	When	Rate
apify-actor-start	Once at run start, per GB of allocated memory	$0.007
apify-default-dataset-item	Per scraped row (job / company / profile)	$0.00119

So a typical run that scrapes 1,000 job rows on 1 GB memory costs ~$1.19 + $0.007 ≈ $1.20 total.

Free users are capped at 100 items per run; paid users have no cap beyond maxItems and ACTOR_MAX_PAID_DATASET_ITEMS.

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What makes this richer than the competition

Capability	Jobs-only competitors	Companies-only competitors	This actor
Job listings + salary + Kununu	✓	✗	✓
Pagination across job-search results	✓	✗	✓
Company pages (followers, employees, locations)	✗	✓	✓
Member profiles (timeline, skills, languages)	✗	✗	✓
Bulk-companies shortcut (slug list, no URLs)	✗	✓	✓
Multi-select filters (employment type, salary, remote)	partial	✗	✓
Mixed URL types in one run	✗	✗	✓
Pure HTTP (no browser)	✓	✓	✓
Price	$1.19–$2.99 / 1k	varies	$1.19 / 1k (all-in-one)

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FAQ

Q: Do I need a Xing account or API key? No. The actor uses Xing's public GraphQL endpoint with a built-in client identity. You only need your Apify account.

Q: I have a list of 200 company names — do I have to convert each to a URL? No. Use companyTargets and paste either URLs or bare slugs (bayer, sap, spectrumag). The actor expands each to https://www.xing.com/pages/{slug} automatically. Company names with spaces ("Bayer AG") aren't auto-resolved yet — use the slug.

Q: I set careerLevel / remoteOption but nothing was filtered. Why? Those two filters live only in the job detail response, not in the search-results page. Set includeListingDetails: true and they'll work. employmentType and salary filters work without details.

Q: Can I scrape private profiles or premium contact info? No. The actor only reads what an unauthenticated Xing visitor would see. Private/premium fields are not exposed.

Q: Do company pages return ALL employees? Only what Xing renders publicly on the company /pages/{slug} SSR view (typically a few dozen senior employees). For a complete employee directory you would need each member's /profile/{user} page.

Q: What if a job URL has no salary? Salary fields will be undefined. Most Xing jobs do publish salary ranges; some companies opt out.

Q: Can I scrape Xing.de competitors (e.g. LinkedIn, Indeed)? No — this actor only handles xing.com domains. Look at the Explore More Scrapers section below for related actors.

Q: How does pagination work? For search URLs, the actor fetches 20 results per page and continues until either maxItems is hit or Xing returns fewer than 20 results.

Q: My run failed with a 401 / 403 — what now? Usually a stale Xing token or a flagged IP. Re-run; the proxy session rotates. If it persists, open an issue (link below) and we'll refresh the embedded token.

Q: Is there a CSV export? Yes — Apify Console offers JSON, CSV, XLSX, RSS, HTML out of the box on every dataset.

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Support

• Open an issue: https://console.apify.com/actors/memo23/xing-scraper/issues
• Email: muhamed.didovic [at] gmail.com
• Bug reports: include the run ID and the URL that misbehaved.

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Additional services

Need bespoke Xing extraction (e.g. industry-wide weekly company sweeps, candidate enrichment at scale, custom-field mapping into Salesforce / HubSpot / Greenhouse)? Reach out via the email above — happy to scope custom work.

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Explore more scrapers

• Stepstone Scraper — DACH job board with similar pricing
• LinkedIn Jobs Scraper — global jobs at scale
• Kununu Scraper — company ratings to pair with this actor's kununuRating field
• Arbeitsagentur Jobs Feed — German federal jobs feed
• German Imprint Scraper — pair company websiteUrl with imprint contacts for outbound

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⚠️ Disclaimer

This Actor accesses publicly available data on Xing (operated by New Work SE) for legitimate research, market intelligence, and business-analysis purposes. Use of this Actor must comply with Xing's Terms of Service and all applicable laws, including the EU General Data Protection Regulation (GDPR), the German Federal Data Protection Act (BDSG), and any other applicable jurisdictional privacy regulation. The Actor's authors are not affiliated with New Work SE or Xing.

Users must:

• Respect rate limits and avoid overloading Xing's infrastructure
• Not use scraped data to violate user privacy or Xing's Terms of Service
• Comply with GDPR when processing personal data of EU residents (lawful basis, retention limits, data-subject rights)
• Not republish scraped content in violation of copyright
• Not use the data for unsolicited bulk contact (anti-spam / UWG)

We do not store any scraped data; the Actor returns it directly to your Apify dataset for your authorized use.

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