Web data provider whose Web Scraper API returns structured LinkedIn profile sections, such as activity, publications and patents, from a profile URL.
RecommendedLast reviewed October 31, 2026
Bright Data is a web data company, and the part we tested is its Web Scraper API. You give it a LinkedIn profile URL, and it sends back structured fields. The provider does the collecting, including proxy rotation and anti-bot handling on its side. You make an API call. On 31 October 2026 we ran its people-profiles dataset on 18 real profiles and compared the output with hand-taken captures of the same pages.
The result split cleanly. Activity, publications, patents, projects and courses came back, and the other providers we tested didn't return those. But work history was empty on all 18 profiles, and so was job title. A very public control profile did return experience, so our guess is that the dataset sees a logged-out view. Just a guess, and the vendor hasn't confirmed it. Use it for section coverage, not as an employment source.
The compliance claims on the vendor's pages are the vendor's own words. We haven't verified them.
The tools we'd run next to Bright Data, and what each pairing covers.
From the Bright Data pricing page · verified October 31, 2026
Directional only. Billing is per successful record, so failed deliveries cost nothing, and the dataset page shows no price of its own, only the general plan rate. At the pay-as-you-go rate a small test batch costs cents, and the larger bill comes from volume, not from any one call. We haven't confirmed the cost of our own test against an account statement.
Rather not run it yourself? We build and run stacks like this for clients. See our methodology
Choose Apify when you want a marketplace of pre-built scrapers for many different sites and are happy to configure one per source.
Choose PhantomBuster when you want LinkedIn prospecting automation with list exports and a point-and-click setup instead of API calls.
Choose Browse AI when you want no-code, point-and-click scrapers for sites you monitor and nobody on your side writes code.
Choose Firecrawl when the pages you need are public web pages rather than LinkedIn profile sections, and you want clean markdown or JSON back.
Not in our test. On 31 October 2026 we ran its LinkedIn people-profiles dataset on 18 real profiles by URL. Work history came back on 0 of 18 and job title on 0 of 18. A very public control profile did return experience, which fits a logged-out view, but the vendor hasn't confirmed the cause. Use an enrichment API for employment data.
In our comparison against BlitzAPI, Clay Enrich Person and a MoltSets reverse lookup, Bright Data was the one that returned activity, publications, patents, projects and courses. The others returned titles, and BlitzAPI and Clay also returned career history, which Bright Data didn't. So the two kinds of provider complement each other.
The pricing page lists plan rates, not a dataset-specific price. Pay as you go is $1.5 per 1K records, or $0.0015 per record, and Scale is $499 per month with 384,000 records included, then $1.3 per 1K. The docs say the dataset is billed per successful record. At the pay-as-you-go rate our 18-profile test would come to about $0.027. That's a derived figure, not a number from our account statement.
The pricing page lists a free tier of 5,000 records a month with no credit card, as read on 31 October 2026. The docs separately mention $2 in free credit for new accounts, and the LinkedIn page words the allowance in credits. The vendor's own pages don't agree on the wording, so confirm what your account gets before you plan around it.
Yes. The collection flow is three REST calls (trigger, progress, snapshot), and the vendor also ships a CLI, SDKs and an MCP server. We've called the API. We haven't run the MCP. If you use the MCP for LinkedIn work, keep it to the dataset calls and away from the generic page-scraping and browser tools.
The vendor says it collects only publicly available data and lists ISO 27001, SOC 2 controls, GDPR and CCPA. Those are its own statements and we haven't verified them. Whether a given use fits LinkedIn's terms and the law where you operate is a separate question, so get advice for your case.
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