Is it legal to scrape Xing profiles?

Scrapernode only collects publicly available data from Xing. We comply with applicable laws and platform terms. Our infrastructure handles rate limiting and respectful crawling automatically.

How much does it cost to scrape Xing profiles?

Each profiles record costs 1 credit. Credits start at $9 for 3,000 credits (Starter plan). Volume discounts are available — the Scale plan offers 100,000 credits for $149.

What data fields are included when scraping Xing profiles?

The Xing Profiles scraper returns 17 structured fields including account_id, familyName, gender, membership, country_code, experience, and more. See the full data dictionary below for all available fields.

How fast is Xing profiles scraping?

Fresh scrapes typically complete in under 60 seconds per batch of URLs. Quick Lookups return pre-collected data instantly. For bulk operations, you can submit thousands of URLs in a single job.

Can I automate Xing scraping?

Yes. Scrapernode offers a REST API, webhooks, and native integrations with n8n, Make, and Zapier. You can schedule recurring scrapes or trigger them from your own applications.

Xing

How to Scrape Xing Profiles

Extract profiles data from Xing at scale

Step-by-step guide

Choose your Xing profiles scraper

Navigate to the Xing Profiles scraper and select "Fresh Scrape" for real-time data or "Quick Lookup" for pre-collected records. Each record costs 1 credit.

Provide your Xing input URLs

Paste the Xing URLs you want to scrape — one per line, or upload a CSV. Scrapernode accepts direct profile links, search result URLs, and hashtag pages.

Launch your scraping job

Click "Start Extraction" to begin. Scrapernode handles proxy rotation, rate limiting, and anti-bot detection automatically. Jobs typically complete in under 60 seconds per batch.

Download structured data

Once complete, download your results as JSON or CSV. Each record includes 17 structured fields like account_id, familyName, gender, membership, and more.

Automate with webhooks or API

Set up webhooks to receive data automatically when jobs complete, or use the REST API for programmatic scraping. Integrate with n8n, Make, or Zapier for workflow automation.

Cost per record

1 credit

Output fields

17 fields

Output formats

JSON, CSV

Sample Output

Preview the data you'll receive — 5 sample records

Record 1 of 5

Account Id

sample_account_id

FamilyName

sample_familyName

Gender

sample_gender

Membership

sample_membership

Country Code

Experience

Array [2]

Object {3}

role:"VP of Engineering"

company:"Stripe"

years:"2021-present"

Object {3}

role:"Staff Engineer"

company:"Google"

years:"2017-2021"

Education

Array [1]

Object {2}

degree:"M.S. Computer Science"

school:"Stanford University"

Skills

PythonMachine LearningProduct StrategyAWS

Languages

Array [2]

Object {2}

title:"English"

subtitle:"Native"

Object {2}

title:"Mandarin"

subtitle:"Professional working"

City

San Francisco

Profile Url

sample_profile_url

Profile Image

sample_profile_image

Headline

VP of Engineering at Stripe | Ex-Google

About

Passionate about making technology accessible. 15 years building products that millions of people use daily.

Followers

28,401,080

Connections

1,000

Input Url

https://www.linkedin.com/in/sarahchen

Data Dictionary

17 fields returned per record

Unique identifier for the user's account (100.00% fill rate)

The user's family name or surname (100.00% fill rate)

The user's gender (100.00% fill rate)

Membership type (Basic, Premium, etc.) (100.00% fill rate)

Country code of the user (99.87% fill rate)

Work experience history (90.61% fill rate)

Sub-fields

currentBooleanWhether this is the current position

companyTextCompany name

titleTextJob title

start_dateTextStart date of the position

end_dateTextEnd date of the position

company_urlTextCompany Xing page URL

company_logoTextCompany logo URL

descriptionTextRole description

Educational background (71.34% fill rate)

Sub-fields

institutionTextEducational institution name

degreeTextDegree obtained

fieldTextField of study

start_yearNumberStart year

end_yearNumberEnd year

List of professional skills (62.45% fill rate)

Languages spoken (55.32% fill rate)

City of the user (89.44% fill rate)

URL of the Xing profile (100.00% fill rate)

Profile picture URL (78.21% fill rate)

Professional headline (82.14% fill rate)

About/bio section text (41.23% fill rate)

Number of followers (68.44% fill rate)

Number of connections (65.32% fill rate)

The URL that was entered when starting the scraping process (100.00% fill rate)

Frequently Asked Questions

Common questions about How to Scrape Xing Profiles

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Start extracting xing profiles data in minutes. No code required — just paste your URLs and go.

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