XING Scraper

XING Scraper exports job postings from XING — the professional network and job board for Germany, Austria and Switzerland (DACH) — to CSV, Excel, JSON, XML or an API, with no login, no cookies and no browser. If you were looking for a XING jobs scraper, a XING API alternative or a way to scrape XING jobs without login, this Actor gives you every job that matches your keywords, cities, companies and filters — with the full job description, salary range or XING salary estimate, apply link, employment type, career level, discipline, industry, remote/hybrid status and posting dates.

On top of the job data, it adds the hiring company's contact details from its XING company page — website, email, phone, street address, coordinates, about text and employee count — so the same export works as a B2B lead list of companies that are hiring right now. It reads the same data XING's own job search loads (20 complete jobs per request), so it is fast (1,000 jobs in about 5 seconds) and deep: XING shows at most 2,000 jobs per search, and this Actor cuts big searches into XING's own filter slices automatically, so one run can return tens of thousands of jobs — every job once, de-duplicated by its XING id.

Measured on 2026-10-15 on the Apify platform: all 34,850 Berlin jobs in one run (94 s, 0 duplicates) · 60,000 health-care jobs in one run · 5,000 jobs for one keyword in 11 s · 1,000 jobs in 5 s · first rows after ~1 s · no login · no cookies · no proxy needed · pay per result.

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What you get

Every row is one XING job posting with up to 67 columns:

Group	Columns	Fill rate in a 34,850-job run (Berlin, 2026-10-15)
Job	jobId, title, url, employmentType, careerLevel, discipline, industry, workplace (Remote / Hybrid / On-site), isRemote, language, skills, keywords, employerReference	title, type, level, discipline, industry, workplace: 100 % · skills 53 %
Description	description (clean text), summary, qualifications, responsibilities, descriptionFormat, optional descriptionHtml	description 100 % · AI summary / bullet lists 22 %
Salary	salaryMin, salaryMax, salaryMedian, salaryCurrency, salaryPeriod, salarySource (employer or xing_estimate), salaryText	82 % of jobs have a salary range
Location	location, city, postalCode, street, region, countryCode, country, allLocations	city / region / country 100 %
Dates	postedAt, refreshedAt, expiresAt	100 %
Apply	applyType (external_website, xing_easy_apply, email), applyUrl, redirectsToExternalSite	apply link 99.9 %
Company (from the job)	companyName, companyId, companyXingUrl, companySize, companyIndustry, companyLogoUrl	company name 100 %
Company contacts (from the XING company page)	companyWebsite, companyEmail, companyPhone, companyAddress, companyPostalCode, companyCity, companyCountryCode, companyLatitude, companyLongitude, companyAbout, companySlogan, companyEmployeesOnXing, companySizeMin, companySizeMax, companyLocationsCount	website 66 % · email 58 % · phone 56 % · address 67 %
Listing flags	isPaidListing, isTopJob, isPromoted	100 %
Run context	searchQuery (which of your searches found the job), xingJobId, scrapedAt	100 %

The dataset has three ready-made table views: Overview, Job details and Hiring companies (leads).

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Use cases

Recruiting and staffing agencies: find companies that are hiring

Every job comes with the employer's website, email, phone and address. Search the roles you place — "Pflegefachkraft", "SAP Berater", "Elektroniker", "Software Engineer" — in the cities you cover, export to Excel and you have a call list of employers with open positions today, the exact job they need to fill and how long it has been online (postedAt, refreshedAt). Repeat daily with Posted within: Last 24 hours to get only the new openings.

Job-market and salary analytics for Germany, Austria and Switzerland

XING lists about 643,000 jobs (2026-10-15). Export whole disciplines, industries or cities with salary ranges (employer ranges and XING's own salary estimates with median), employment type, career level and remote status — then chart salaries by city, demand by discipline, the share of hybrid work, or how many jobs staffing agencies post compared to direct employers.

Competitor and employer monitoring

Paste competitors' XING company pages (or just their names) into Companies and schedule the run: you get every job they publish on XING, with titles, locations, salaries and descriptions — a clear signal of where a company is expanding, which skills it buys and how fast it hires.

Job boards, aggregators and HR tech

Feed a job board, a matching engine or an AI model with clean, structured DACH job data: plain-text descriptions, structured qualifications and responsibilities, normalized salaries, apply URLs, geo data and company metadata — refreshed as often as you like through the API.

Sales prospecting with hiring signals

A company hiring 10 sales people in Munich is a company with budget. Filter by discipline and industry, sort by companyName and count jobs per company: the companies with the most open positions are often the best prospects for recruiting, HR software, training, relocation and equipment vendors.

More ideas

Career-portal and ATS research (which ATS each employer uses — see the domain of applyUrl) · relocation and expat services (jobs open to EU work-permit holders) · education and training providers (demand for certifications by region) · public-sector and labour-market research · CSV datasets for BI tools, Google Sheets and AI agents.

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How it works

1. Search. Each line of Search keywords × each City × each Company is one search (all three are optional). Filters (employment type, career level, discipline, industry, workplace, salary, posting date) apply to every search. XING URLs you paste are added as further searches or single jobs.
2. Count first. The Actor asks XING how many jobs each search has. XING's own search window ends at 2,000 jobs per search.
3. Slice big searches automatically. If you want more than 2,000 jobs from a search, it is cut into XING's own filter slices — employment type → career level → discipline → industry (these four partition XING's job board exactly; measured: their counts add up to XING's total) — then workplace, salary band and region for the very largest slices. Each slice is counted and only read when it fits the 2,000 window.
4. Read complete jobs. Each request returns 20 complete postings — description, salary, location, apply link and company — so there is no separate detail request per job.
5. Add company contacts. For every company with a XING page, the Actor reads the page once (website, email, phone, address, coordinates, about, employees on XING) and attaches it to all of that company's jobs. Companies are cached and fetched 10 at a time.
6. De-duplicate and stream. Jobs found by several searches or slices are saved once. Rows appear in the dataset while the run is still going.

The Actor connects to XING directly; if XING ever refuses the connection or hides geo-fenced jobs from the run's IP, it switches to Apify Proxy by itself. You don't need to configure a proxy.

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Input

You can combine everything below in one run. With no input at all, the Actor exports XING's whole job board (up to Maximum jobs).

Keyword + city (the most common search)

{
  "keywords": ["Software Engineer", "Data Scientist"],
  "locations": ["Berlin", "München", "Hamburg"],
  "maxItems": 2000
}

Six searches (2 keywords × 3 cities). Maximum jobs is shared fairly between them; unused share goes to the searches that have more.

Every job in a city and its region

{
  "locations": ["München"],
  "radiusKm": 50,
  "maxItems": 0
}

maxItems: 0 means no limit — about 29,000 jobs within 50 km of Munich on 2026-10-15. radiusKm: 0 searches the city itself.

All jobs of specific employers

{
  "companies": ["https://www.xing.com/pages/deutschebahn", "BMW Group", "Siemens"],
  "maxItems": 0
}

XING company page URLs give an exact match; names are matched against the companies XING returns for that name.

Filters only (a whole discipline, industry or job type)

{
  "disciplines": ["it_and_software_development"],
  "workplaces": ["remote", "hybrid"],
  "careerLevels": ["professional", "manager"],
  "salaryMin": 60000,
  "maxItems": 10000
}

Daily monitoring of new jobs

{
  "keywords": ["Pflegefachkraft", "Altenpfleger"],
  "locations": ["Köln", "Düsseldorf"],
  "radiusKm": 25,
  "postedWithin": "24h",
  "maxItems": 0
}

Schedule it daily in Apify (Schedules) and send the new jobs to Google Sheets, Slack, a CRM or your own API.

XING URLs (job pages, searches with filters, company pages)

{
  "startUrls": [
    { "url": "https://www.xing.com/jobs/hamburg-senior-software-gineer-all-genders-157800906" },
    { "url": "https://www.xing.com/jobs/search?keywords=python&location=Berlin&employmentType=FULL_TIME.ef2fe9&careerLevel=3.2ebf16" },
    { "url": "https://www.xing.com/pages/spaceteamsgmbh" }
  ]
}

Copy a search URL from your browser after setting filters on xing.com — the Actor reads keywords, location, radius and every filter from it.

All input fields

Field	Type	Default	What it does
keywords	list of text	[]	Job titles, skills or any search words, one search per line. Empty = all jobs (within the other criteria).
locations	list of text	[]	City names in Germany, Austria or Switzerland. Each city is a separate search.
radiusKm	number	0	Radius around each city in km (0 = the city itself, up to 500).
companies	list of text	[]	Company names or XING company page URLs.
startUrls	list of URLs	[]	XING job URLs, job-search URLs or company pages.
employmentTypes	list	all	full_time, part_time, freelance, internship, temporary, seasonal, voluntary.
careerLevels	list	all	student_intern, entry_level, professional, manager, executive, senior_executive.
disciplines	list	all	XING's 22 disciplines, e.g. it_and_software_development, engineering_and_technical, sales_and_commerce, health_medical_and_social, finance_accounting_and_controlling, hr.
industries	list	all	XING's 23 industries (all their sub-industries included), e.g. internet_and_it, health_and_social, banking_and_financial_services, automotive_and_vehicle_manufacturing.
workplaces	list	all	remote, hybrid, on_site.
salaryMin / salaryMax	number	0	Yearly gross salary filter in EUR (0 = not set).
postedWithin	text	any	24h, 7d or 30d.
postedSince	date	—	Only jobs published or refreshed on or after this date (overrides postedWithin).
maxItems	number	1000	Maximum jobs in total. 0 = no limit.
includeCompanyDetails	true/false	true	Add website, email, phone, address and more from the company's XING page.
includeDescriptionHtml	true/false	false	Also keep the original HTML of the description.
concurrency	number	20	Parallel requests (1–50).
proxyConfiguration	proxy	direct	Optional; the Actor switches to Apify Proxy by itself when needed.

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Output data dictionary

Column	Example	Meaning
jobId	158299917	XING's job number (also at the end of the job URL).
title	Recruiting Consultant – Telefonische Kandidatengewinnung (m/w/d/x)	Job title as published.
url	https://www.xing.com/jobs/berlin-recruiting-consultant-…-158299917	The job's XING page.
companyName	uCastMe GmbH	Employer name shown on the job.
companyId	964989.27a31d	XING's company id (stable).
companyXingUrl	https://www.xing.com/pages/ucastmegmbh	The company's XING page.
companySize	51-200 employees	Company size band from XING.
companyIndustry	HR services	The company's industry on XING.
companyLogoUrl	https://www.xing.com/imagecache/…	Logo, 256 px.
location	Berlin, Land Berlin, DE	City, region and country of the job.
city, region, countryCode, country	Berlin, Land Berlin, DE, Germany	Job location parts.
postalCode, street	22769, Eifflerstraße 43	When the employer publishes them.
allLocations	["Berlin, Land Berlin, DE", "Hamburg, …"]	All locations of multi-location jobs (null for single-location jobs).
workplace	Hybrid	Remote, Hybrid or On-site (several are joined with " / ").
isRemote	false	True for fully remote jobs.
employmentType	Full-time	Full-time, Part-time, Freelance, Student/intern, Temporary, Seasonal, Volunteer.
careerLevel	Professional/Experienced	XING career level.
discipline	IT and software development	XING discipline (22 values).
industry	Internet and IT	XING industry or sub-industry of the posting.
salaryMin, salaryMax	38500, 51500	Salary range (numbers, no formatting).
salaryMedian	41500	Median of XING's salary estimate (estimates only).
salaryCurrency	EUR	Currency (EUR or CHF).
salaryPeriod	year	year, month or hour. XING estimates are yearly; for employer ranges the period is inferred from the amount.
salarySource	xing_estimate	employer = published by the company · xing_estimate = XING's estimate for the job.
salaryText	EUR 38,500 – 51,500 per year (XING estimate, median 41,500)	Human-readable salary.
postedAt	2026-10-02T20:30:25Z	When the job was published (ISO 8601, UTC).
refreshedAt	2026-10-02T20:30:25Z	Last time the employer refreshed the posting.
expiresAt	2027-04-03T11:25:01Z	When the posting goes offline unless renewed.
applyType	external_website	external_website (company career site or ATS), xing_easy_apply, email or xing_message.
applyUrl	https://ucm.jobs.personio.de/job/2812866?…	Where to apply (mailto: for email applications).
redirectsToExternalSite	false	True when XING forwards the visitor straight to an external page.
summary	Spaceteams sucht einen Softwareentwickler …	XING's short summary of the job (when available).
qualifications	["Mehrjährige Erfahrung …", …]	Required qualifications as a list (when available).
responsibilities	["Planung und Entwicklung …", …]	Key responsibilities as a list (when available).
description	Deine Aufgaben: …	Full job description as clean text with paragraphs.
descriptionHtml	<p>…</p>	Original HTML (only with includeDescriptionHtml).
descriptionFormat	html	html, template (XING's structured template) or external.
skills	["Recruiting"]	Skills XING extracted from the posting.
keywords	["consultant", "recruiting", …]	Search keywords XING attaches to the posting.
language	de	Language of the posting.
employerReference	8624996	The employer's own job reference, when given.
isPaidListing, isTopJob, isPromoted	true, false, true	Paid XING posting / top job / promoted in search.
companyWebsite	http://www.ucastme.de/	Company website from its XING page.
companyEmail	kontakt@ucm.agency	Company contact email from its XING page.
companyPhone	+49 30120865681	Company phone with country code.
companyAddress, companyPostalCode, companyCity, companyCountryCode	Heidestr 46, 10823, Berlin, DE	Company address (main location).
companyLatitude, companyLongitude	52.5311673, 13.3670148	Company coordinates.
companyAbout	Unkonventionell, charmant und menschlich …	The company's "about us" text (up to 4,000 characters).
companySlogan	Was ist dir wichtig?	Company slogan on XING.
companyEmployeesOnXing	22	Number of XING members who list the company as employer.
companySizeMin, companySizeMax	51, 200	Company size band as numbers.
companyLocationsCount	1	Locations listed on the company page.
searchQuery	"Software Engineer" in Berlin	Which of your searches found the job.
xingJobId	158299917.62104a	XING's full internal job id.
scrapedAt	2026-10-15T10:05:34Z	When the row was collected.

Missing values are null — never 0 or an empty string pretending to be data.

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Output example (a real row from a test run, description shortened)

{
  "jobId": "158299917",
  "title": "Recruiting Consultant – Telefonische Kandidatengewinnung (m/w/d/x)",
  "url": "https://www.xing.com/jobs/berlin-recruiting-consultant-telefonische-kandidatengewinnung-158299917",
  "companyName": "uCastMe GmbH",
  "companyId": "964989.27a31d",
  "companyXingUrl": "https://www.xing.com/pages/ucastmegmbh",
  "companySize": "51-200 employees",
  "companyIndustry": "HR services",
  "location": "Berlin, Land Berlin, DE",
  "city": "Berlin",
  "region": "Land Berlin",
  "countryCode": "DE",
  "country": "Germany",
  "workplace": "On-site",
  "isRemote": false,
  "employmentType": "Part-time",
  "careerLevel": "Professional/Experienced",
  "discipline": "HR",
  "industry": "HR services",
  "salaryMin": 38500,
  "salaryMax": 51500,
  "salaryMedian": 41500,
  "salaryCurrency": "EUR",
  "salaryPeriod": "year",
  "salarySource": "xing_estimate",
  "salaryText": "EUR 38,500 – 51,500 per year (XING estimate, median 41,500)",
  "postedAt": "2026-10-02T20:30:25Z",
  "refreshedAt": "2026-10-02T20:30:25Z",
  "expiresAt": "2027-04-03T11:25:01Z",
  "applyType": "external_website",
  "applyUrl": "https://ucm.jobs.personio.de/job/2812866?language=de&utm_source=xing.com",
  "description": "Deine Aufgaben:\nÜber ucm arbeiten mehr als 48.000 Studierende. Rund 2.000 stellen wir jedes Jahr neu ein – und am Anfang steht immer ein Anruf. …",
  "descriptionFormat": "html",
  "skills": ["Recruiting"],
  "keywords": ["consultant", "recruiting", "englischkenntnisse", "kundenbetreuung", "teamleitung", "verkauf", "promotion", "app"],
  "language": "de",
  "isPaidListing": false,
  "isTopJob": false,
  "isPromoted": false,
  "companyWebsite": "http://www.ucastme.de/",
  "companyEmail": "kontakt@ucm.agency",
  "companyPhone": "+49 30120865681",
  "companyAddress": "Heidestr 46",
  "companyPostalCode": "10823",
  "companyCity": "Berlin",
  "companyCountryCode": "DE",
  "companyLatitude": 52.5311673,
  "companyLongitude": 13.3670148,
  "companyAbout": "Unkonventionell, charmant und menschlich – kurz UCM! …",
  "companyEmployeesOnXing": 22,
  "companySizeMin": 51,
  "companySizeMax": 200,
  "searchQuery": "in Berlin",
  "xingJobId": "158299917.62104a",
  "scrapedAt": "2026-10-15T10:05:34.483Z"
}

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How much data can I get?

XING listed 642,900 jobs on 2026-10-15. Measured sizes (jobs on XING that day):

Slice	Jobs	Slice	Jobs
Berlin	35,086	Production and manufacturing	140,815
Hamburg	20,675	Health, medical and social	118,170
München (city)	17,911	Engineering and technical	62,762
München + 25 km	23,596	Sales and commerce	60,459
München + 100 km	49,657	Purchasing, materials management & logistics	56,379
Frankfurt am Main	12,377	IT and software development	40,445
Wien	4,912	Finance, accounting & controlling	29,416
Zürich	4,995	Hybrid jobs	94,213
New in the last 24 hours	~62,000	Fully remote jobs	8,195
New in the last 7 days	~162,700	Part-time jobs	37,388
New in the last 30 days	~376,300	Internships / student jobs	16,470

Measured runs (Apify platform, 2026-10-15):

Run	Jobs saved	Time	Duplicates
Every job in Berlin (locations: ["Berlin"], maxItems: 0)	34,850 of 35,086 listed (99.3 %)	94 s	0
Health, medical and social discipline, maxItems: 60000	60,000	6 min 43 s (1 GB memory; faster at the 2 GB default)	0
Keyword "Vertrieb", all of XING, maxItems: 5000	5,000	11 s	0
3 keywords × 2 cities, maxItems: 3000	2,764 (every match)	8 s	0
1,000 jobs in Berlin	1,000	5 s	0
Input-form example (50 jobs)	50	3 s	0

Why "99.3 %" and not 100 %? XING's job count includes a few postings that its own result pages never show or show twice; the Actor returns every distinct job XING actually serves for the search.

Big runs need a big enough "Maximum cost per run"

On pay-per-result Actors, Apify stops a run once its Maximum cost per run is used up. The Actor checks that budget at the start: if it covers fewer jobs than you asked for, it says so in the log, saves exactly as many jobs as the budget pays for and finishes as Succeeded with the message "Saved N jobs — this run's maximum cost ($X) covers N results at the current price". For a 50,000-job export, set Maximum cost per run to at least 50,000 × your price per result (e.g. $75 at $1.50 per 1,000).

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Speed and what you pay

• What you pay: a fixed price per job saved — from $1.50 per 1,000 jobs on the Apify Free plan, lower on paid plans. Compute and proxy are included; there is no separate platform charge for this Actor's runs.
• Speed: ~1 s to the first rows, ~5 s for 1,000 jobs, ~94 s for 35,000 jobs (measured with company contacts on).
• Memory: 2 GB default. More memory = more CPU = faster large runs; small runs are fine with 1 GB.
• No hidden costs: no proxy subscription, no browser, no login, no third-party API key.

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Integrations

API (curl)

curl -X POST "https://api.apify.com/v2/acts/logiover~xing-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords":["Data Engineer"],"locations":["Berlin"],"maxItems":200}'

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('logiover/xing-scraper').call({
    keywords: ['SAP Berater'],
    locations: ['Frankfurt am Main'],
    radiusKm: 50,
    maxItems: 2000,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.length, items[0].title, items[0].companyEmail);

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_TOKEN")
run = client.actor("logiover/xing-scraper").call(run_input={
    "disciplines": ["it_and_software_development"],
    "workplaces": ["remote"],
    "postedWithin": "7d",
    "maxItems": 0,
})
for job in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(job["title"], job["companyName"], job["salaryText"])

Make, Zapier and n8n

Use the official Apify modules: Run an Actor → Get dataset items. Typical flow: daily schedule → XING Scraper with postedWithin: "24h" → filter rows → add to Google Sheets, HubSpot, Pipedrive, Airtable or Slack.

Google Sheets

Export the dataset as CSV or use the Apify integration for Google Sheets to append new jobs to a sheet after every run.

Webhooks

Add a webhook on Run succeeded to call your own endpoint with the run id, then fetch https://api.apify.com/v2/datasets/{datasetId}/items?format=json.

MCP and AI agents

The Actor works with the Apify MCP server, so Claude, ChatGPT or Cursor agents can call it ("find hybrid Python jobs in Munich paying over €70k and list the companies with their websites").

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Comparison

	This XING Scraper	Copy-paste from xing.com	Typical scrapers
Jobs per search	All of them — automatic slicing past XING's 2,000 window	2,000 max	Often stop at the first pages
Full description + structured qualifications	Yes	Manual	Often title + snippet only
Salary (employer range and XING estimate with median)	Yes, as numbers	Text only	Rarely
Company website, email, phone, address	Yes (from the company's XING page)	Manual	No
Employer filter by name or XING page	Yes	One at a time	Rarely
Filters (type, level, discipline, industry, remote, salary, date)	All of XING's filters	Yes	Few
De-duplication across searches	Yes, by XING job id	—	Rarely
Login / cookies needed	No	Yes for some jobs	Sometimes

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Limits and tips

• Keyword search is XING's AI search. XING ranks jobs by meaning, not by exact words, so a search for "Vertrieb" also returns closely related sales and customer-facing jobs (in our 5,000-job test, 70 % were in XING's Sales and commerce discipline). Combine keywords with Discipline for stricter results, or filter by title after the run.
• 2,000 per search. XING never shows more than 2,000 results for one search; the Actor slices bigger searches automatically. Only the very largest single slices (for example tens of thousands of full-time, experienced health-care jobs in the same industry) can still exceed it — the run summary reports how many jobs could not be reached that way (notReachable).
• Company contacts come from XING company pages. About two thirds of jobs belong to a company with a XING page; staffing agencies and large employers almost always have one. Jobs without a page have null contact fields.
• Salary period. XING estimates are yearly gross amounts. Employer-published ranges have no period on XING; the Actor infers it from the amount (hour under 300, month under 15,000, otherwise year).
• Locations are cities. Use city names ("Frankfurt am Main", "Wien", "Zürich"); regions and postcodes are not XING search locations. Use Radius for the surrounding area.
• Daily monitoring: schedule the run with Posted within: Last 24 hours and the same searches; compare jobId with yesterday's export to get only new jobs.

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FAQ

What is XING Scraper?

An Apify Actor that exports XING job postings — with full descriptions, salaries, apply links and the hiring company's contact details — to CSV, Excel, JSON or an API. It needs no XING account.

Is there an official XING API for job data?

XING does not offer an open developer API for job search data. This Actor reads the same public job data XING's own website loads for logged-out visitors, so you get the data without an API contract or partner access.

Do I need a XING account, login or cookies?

No. Everything the Actor collects is visible to logged-out visitors of xing.com.

Do I need a proxy?

No. The Actor connects directly and switches to Apify Proxy automatically if XING ever refuses the connection or geo-fences jobs for the run's IP address.

How many jobs can I get per run?

As many as match your input — set maxItems: 0. Measured: 34,850 jobs (every Berlin job) in 94 s and 60,000 jobs in one run. XING lists about 643,000 jobs in total.

How fast is it?

About 1 second to the first rows, 5 seconds for 1,000 jobs and around 1.5 minutes for 35,000 jobs including company contacts.

How much does it cost?

You pay per job saved — from $1.50 per 1,000 jobs on the Free plan, less on paid plans. Compute and proxy are included.

Can I get the email and phone number of the hiring company?

Yes. With Add company contact details on (default), every job from a company with a XING page gets the company's website, email, phone, address and coordinates. In our Berlin export, 66 % of jobs had a website, 58 % an email and 56 % a phone number.

Can I get the recruiter's or hiring manager's name?

No. XING shows contact persons only to logged-in members; this Actor collects only public data.

Does it include salary?

Yes, for about 82 % of jobs: either the salary range published by the employer (salarySource: "employer") or XING's own estimate with minimum, maximum and median (salarySource: "xing_estimate").

Can I scrape all jobs of one company?

Yes. Put the company's XING page URL (https://www.xing.com/pages/...) or its name into Companies. Example: all jobs of BMW Group, Deutsche Bahn and Siemens in one run.

Can I get only new jobs every day?

Yes. Use Posted within: Last 24 hours (or Posted since) and schedule the Actor daily. On 2026-10-15 about 62,000 jobs had been published or refreshed in the previous 24 hours.

Does it work for Austria and Switzerland?

Yes. Use Austrian or Swiss cities (Wien, Graz, Linz, Salzburg, Zürich, Bern, Basel, Genf …). Swiss salaries come in CHF where XING provides them.

Why did my run stop before reaching Maximum jobs?

Either every matching job was read (the status message says "every matching job read"), or the run's Maximum cost per run was reached (the status message says so and shows how many jobs the budget covers), or the run hit its time limit. The SUMMARY record in the run's key-value store lists every search with the number of jobs on XING and the number saved.

What happens if XING is down or blocks the run?

Failed requests are retried with backoff; refused connections move to Apify Proxy. If nothing at all could be read, the run fails with a clear message instead of finishing with an empty dataset — so an empty successful run always means "no job matched".

Can I export to Excel or Google Sheets?

Yes — the dataset exports to CSV, Excel (XLSX), JSON, XML and HTML, and integrates with Google Sheets, Make, Zapier and n8n.

I need another field or filter. Can you add it?

Yes — open an issue on the Actor's page with an example XING URL. We usually reply within 24 hours.

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Is it legal to scrape XING?

This Actor only collects data that XING publishes openly to every visitor without a login: job postings and public company pages. It does not log in, bypass access controls or collect members' private profiles. Company contact data comes from the companies' own public XING pages. Job-posting data is published by employers precisely so that it is found and read. You are responsible for how you use the data: if you process personal data (for example a named contact in a job description), make sure you have a legal basis under the GDPR, and respect XING's terms and applicable law in your jurisdiction. If in doubt, consult a lawyer.

Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by XING or New Work SE or any of their subsidiaries. "XING" is a trademark of its respective owner and is used here only to describe the data source.

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Changelog

• 1.0 (2026-10-15) — First release: keyword, city + radius, company and filter searches; XING URLs; automatic slicing past the 2,000-results window; full descriptions, salaries, apply links; company website, email, phone, address and coordinates; de-duplication; pay-per-result budget awareness.

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Support

Questions, a missing field or a XING page that does not work? Open an issue on the Actor page — we reply within 24 hours on working days. Custom versions (extra fields, scheduled exports to your system) are possible on request.