Xing Companies Scraper

🔎 Xing companies scraper for public company profiles

Xing Companies Scraper extracts public company profile data from Xing. Add Xing company page URLs, slugs, or company names, then export company names, descriptions, websites, locations, contact details, follower counts, employee counts, public employee previews, job previews, and source URLs.

Use this Xing companies scraper when you already know the companies you want to check and need a clean dataset for lead lists, account research, CRM enrichment, market maps, recruiting research, or recurring company monitoring. Each saved item is one matched Xing company profile, so the output stays focused on company data instead of mixing company, job, and profile rows.

For a small first run, keep the prefilled targets: https://www.xing.com/pages/sap, bayer, and basf. You can download results as JSON, CSV, Excel, XML, or RSS, or use the same dataset through the Apify API, schedules, webhooks, and integrations.

✅ What this Actor does

• Scrapes public Xing company profile pages.
• Accepts Xing company page URLs, bare slugs, and company names that match public page slugs.
• Saves one dataset item per matched company profile.
• Returns company identity, source URL, slug, profile text, website, logo, follower count, employee count, company size, address, contact details, and scrape timestamp.
• Adds public locations, employee previews, job previews, job counts, and media URLs when Xing shows them on the company page.
• Skips missing or unavailable company pages without adding placeholder rows.
• Charges only for saved company profiles.

This Actor is built for public Xing company pages. It does not scrape Xing jobs as primary rows, Xing user profiles as primary rows, private profile data, logged-in content, Sales Navigator-style data, or a keyword company search index.

📦 Data you can extract

Each dataset item represents one public Xing company profile. Fields can include:

• companyName, slug, sourceUrl, originalInput, and inputIndex
• summary, description, headline, slogan, and contractType
• websiteUrl, logoUrl, coverImageUrl, and mediaUrls
• followersCount, employeesOnXing, employeePreviewCount, companySizeMin, and companySizeMax
• city, countryCode, countryName, streetAddress, and postcode
• contactEmail and contactPhone
• locations with address, country, coordinates, email, phone, fax, and website when visible
• employeePreview with public names, profile URLs, profile images, and occupations when visible
• jobPreview with public job titles, URLs, cities, countries, and job dates when visible
• jobCount, locationCount, dataCompleteness, missingFields, and scrapedAt

Some fields can be empty because Xing does not show the same profile details for every company.

🚀 How to run it

1. Open the Input tab.
2. Add one Xing company target per line in Xing companies.
3. Use full Xing company page URLs when you have them, or paste slugs such as sap, bayer, and basf.
4. Set Maximum companies if you want to cap a larger pasted list.
5. Start the Actor.
6. Open the dataset, export the rows, or pull them through the Apify API.

Good target examples:

• https://www.xing.com/pages/sap
• bayer
• basf
• bmwgroup
• allianzdeutschland

Company names are treated as slug guesses. For the most reliable results, use the Xing company page URL or the exact slug from the page URL.

🛠️ Input

Field	What it does
companyTargets	Xing company page URLs, slugs, or company names.
maxCompanies	Maximum company targets to process in the run.

✍️ Example input

{
	"companyTargets": [
		"https://www.xing.com/pages/sap",
		"bayer",
		"basf"
	],
	"maxCompanies": 3
}

📤 Output example

{
	"sourceUrl": "https://www.xing.com/pages/sap",
	"originalInput": "https://www.xing.com/pages/sap",
	"inputIndex": 1,
	"slug": "sap",
	"companyId": "30276.2e5e9c",
	"companyName": "SAP",
	"summary": "SAP is one of the world's leading providers of software for business process management.",
	"websiteUrl": "https://sap.de",
	"logoUrl": "https://www.xing.com/imagecache/public/scaled_original_image/...",
	"followersCount": 44766,
	"employeesOnXing": 211,
	"companySizeMin": 10001,
	"companySizeMax": null,
	"city": "Walldorf",
	"countryCode": "DE",
	"countryName": "Germany",
	"streetAddress": "Dietmar-Hopp-Allee 16",
	"postcode": "69190",
	"contactEmail": "info.germany@sap.com",
	"contactPhone": "+498005343424",
	"locationCount": 1,
	"employeePreviewCount": 162,
	"jobCount": 31,
	"dataCompleteness": "full",
	"scrapedAt": "2026-06-10T12:16:18.928Z"
}

Nested arrays such as locations, employeePreview, and jobPreview are included in the full dataset item when Xing exposes that data.

💳 Pricing

This Actor uses pay-per-event pricing. You are charged for each saved company profile. Invalid or unavailable company targets are skipped and are not saved as dataset items.

The pricing event is Company. See the Pricing tab on Apify for the current tier price before running larger lists.

⚠️ Limits and caveats

• Xing must have a public company page for the target.
• Company names are converted into likely page slugs. If a name does not match the Xing page slug, use the full page URL.
• The Actor does not search Xing for companies by keyword.
• Xing can show different fields for different companies, so optional fields may be null or empty.
• The dataset contains successful company profiles only. Missing, invalid, or unavailable targets are reported in the run log.

❓ FAQ

🔐 Do I need a Xing account?

No. The Actor is built for public Xing company profile pages and does not ask for Xing cookies, credentials, or an API key.

💼 Can I scrape Xing jobs with this Actor?

No. This Actor keeps one clean company profile item per company. It may include public job previews and counts from the company page, but it does not save job listings as primary dataset items.

🧭 Why did one of my company names not return a result?

Company names are only slug guesses. Xing page slugs can differ from the brand name, for example when the page uses a legal name, local spelling, or no separator. Paste the full Xing company page URL for the most reliable match.

📅 Can I run it on a schedule?

Yes. Use Apify schedules to monitor the same company list over time, then compare exported datasets or consume results through the API.

📝 Changelog

• 0.1: Initial release.

🆘 Support

For issues, questions, or feature requests, file a ticket and I'll fix or implement it in less than 24h 🫡

🔗 Other actors

• LinkedIn Company Scraper ↗ - Extract public LinkedIn company profile facts from known company pages.
• LinkedIn Company People Scraper ↗ - Export visible people from LinkedIn company People pages.
• Business Address Scraper ↗ - Find physical addresses shown on company websites.
• Website Emails Scraper ↗ - Find public contact emails from submitted websites.
• Social Media Stats Checker ↗ - Check public profile stats across major social platforms.

Made with ❤️ by Maxime Dupré