We benchmarked four scraping APIs with 6,000 LinkedIn requests, sending each provider the same 1,500 URLs: 500 profiles, 500 company pages and 500 posts. For every request we measured success rate, completion time, and the number of parsed metadata fields returned.
LinkedIn scraping benchmark
Read our methodology for details about the LinkedIn benchmark.
LinkedIn scraper API pricing
What data you can scrape from LinkedIn
Bright Data was the only provider in our LinkedIn scraping benchmark that returned structured JSON. Oxylabs, Decodo and Nimble returned raw HTML, so they had no parsed fields to count. The tables below group every field Bright Data returned for LinkedIn posts, profiles and company pages by category.
LinkedIn posts (39 fields):
LinkedIn profiles (44 fields):
Some profile fields appear only on part of the profiles: languages on 35% of the profiles with data, patents on 3%.
LinkedIn company pages (34 fields):
Bright Data’s LinkedIn scraper APIs also collect job listings.
Example fields: job_title, company_name, job_location, job_summary, job_seniority_level, job_employment_type, job_function, job_num_applicants, base_salary and apply_link.
LinkedIn scraper APIs
Bright Data offers ten scraper APIs for LinkedIn, covering four content types:
- People profiles: collect by URL, plus a people search that discovers profiles by first and last name.
- Company information: collect by URL.
- Job listings: collect by job URL, discover by keyword, or discover by company URL.
- Posts: collect by URL, or discover by company URL, profile URL, or article URL.
Bright Data also provides four ready-to-use datasets in its Dataset Marketplace:
- LinkedIn people profiles: for tracking talent movement, sourcing candidates, lead generation, and alternative investment research.
- LinkedIn company information: for competitive analysis, CRM enrichment, and ecosystem mapping.
- LinkedIn job listings: job titles, company names, locations, and application details, for job market analysis and recruitment strategy.
- LinkedIn posts: post text, hashtags, engagement metrics, images, and video, for content trend analysis and engagement research.
We used three Bright Data Web Scraper APIs: “LinkedIn people profiles, collect by URL”, “LinkedIn company information, collect by URL” and “LinkedIn posts, collect by URL”.
Bright Data had the highest LinkedIn success rate at 97.7%, with 98.8% on profiles, 99.4% on company pages and 95.0% on posts.
Bright Data was the only provider that returned JSON, with 29.5 fields per profile, 31.9 per company page and 39 per post on average. Profiles took 27.9 seconds per request, company pages 7.5 seconds and posts 8.0 seconds.
We called Oxylabs through its Web Scraper API, now named Web API, in Realtime mode with the universal source and JavaScript rendering. The API returns the rendered HTML page, so the data has to be extracted with CSS selectors.
Oxylabs succeeded on 99.2% of them. On profiles and company pages, LinkedIn showed its sign-in page instead of the content for 434 of 500 profiles and 399 of 500 company pages. That left Oxylabs at 12.0% on profiles, 20.2% on company pages and 43.8% across all LinkedIn pages, averaging 25.7 seconds per request.
For Decodo we used the Web Scraping API’s generic endpoint with headless rendering and the premium proxy pool. The response is the page itself rather than parsed fields, so the data has to be pulled out of the markup.
Decodo succeeded on 99.6% of posts. It answered 433 of 500 profile requests and 223 of 500 company page requests with the error “We were not able to scrape the target”. Its success rate was 11.8% on profiles, 55.0% on company pages and 55.5% overall. Successful profile requests took 80.4 seconds on average, against 26.4 seconds for posts.
Decodo has moved this Scraper API into its Web Data API, which groups /scrape with /search, /crawl and /map under a single key.
Nimble ran through its Extract API with browser rendering and HTML as the output format. Nimble’s Social API returns LinkedIn data as JSON, but it was not enabled on our account (HTTP 403), so every LinkedIn page went through the Extract API.
Nimble was the fastest provider on every LinkedIn page type, averaging 6.4 seconds per request. It succeeded on 96.0% of posts, 92.2% of company pages and 74.4% of profiles. Most profile failures came from LinkedIn itself: 66 profiles returned LinkedIn’s 999 block status and 50 showed the sign-in page.
Add as preferred sourceLinkedIn scraper benchmark methodology
We collected the LinkedIn results from our broader social media scraping benchmark, which tested 7 scraping providers on 6,500 pages across Instagram, Facebook, TikTok, X and LinkedIn. Filtering that dataset down to LinkedIn alone leaves 1,500 pages per provider: 500 profiles, 500 company pages and 500 posts.
You can find the complete methodology, covering how we selected the URLs, which endpoint we used for each provider, and the status, field and value checks behind a successful response, in the social media scraping benchmark.
Cite this benchmark
Pick the format that matches where you're publishing. Pasting the link version into your CMS preserves the backlink.
@misc{dogan2026,
author = {Dogan, Sedat and Şipi, Nazlı},
title = {{The Best LinkedIn Scrapers}},
year = {2026},
month = nov,
howpublished = {\url{https://aimultiple.com/linkedin-scrapers}},
note = {AIMultiple. Retrieved November 3, 2026}
}Results and timestamps of 7.6 thousand data points. Download the summary data shown in this article's charts and tables as a ZIP file containing 7 CSV files and a README.
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Changelog
18 updatesAdded a "What data you can scrape from LinkedIn" section detailing fields by page type.
Replaced the LinkedIn scraper benchmark methodology with a four-provider test on 1,000 post URLs.
Removed the Proxycurl entry from the proxy-based LinkedIn scrapers section.
Added a section comparing Apify and Bright Data to the introduction.
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