SEO & Growth · Analytics & Data

Scrapingdog LinkedIn Scraper API

Extracts LinkedIn profiles and company data via reliable scraping APIs.

Our take: Scrapingdog offers a broad web-scraping platform with dedicated LinkedIn endpoints covering person profiles, company pages, posts, and jobs.

Best forData analysts
ReviewedPricing: Freemium
Try ScrapingdogFree (200 credits/mo); paid from $40/mo
The bottom line

A cost-effective, credit-based LinkedIn scraping API with a real free tier — solid for developers and analysts who need scalable, structured profile data without managing proxies.

Our score

Reviewed by the Conversion Gems editorial team. Hover a facet to focus it; click to pin.Tap a facet to focus it.

Community ratings

Shown for context only. Our score is independent.

Trustpilot
4.7 out of 5
580+ reviews

4.7 / 5 aggregate · across 1 source

Third-party ratings shown verbatim; aggregate weighted by review volume.

What it is, and why we rate it

One line each. Open a row for detail.

What it really isScrapingdog LinkedIn Scraper API — a credit-based API for extracting public LinkedIn profile, company, post, and job data at scale.
Our takeScrapingdog offers a broad web-scraping platform with dedicated LinkedIn endpoints covering person profiles, company pages, posts, and jobs.
The product has a permanent free tier (200 credits/month, no card required), which makes it freemium. Entry paid plan is $40/month for 200K credits — enough for ~4,000 unprotected LinkedIn profile requests. Proxy rotation and anti-block handling are built in, and failed requests are never charged.
Why we rate itTransparent credit costs per endpoint type, a no-card free tier for evaluation, failed-request forgiveness, and competitive per-profile pricing at scale make this one of the more honest developer-facing LinkedIn scraping offerings.
The catchLinkedIn's anti-scraping measures mean protected profiles cost double the credits and rely on async webhooks, adding latency.
The free tier's 200 credits covers only ~4 unprotected profile requests — barely enough for meaningful testing.

Best / not good for

Best for
  • Developers building recruiting or sales enrichment pipelines
  • Data analysts needing bulk LinkedIn company or profile data
  • Growth teams automating prospect research at scale
Not good for
  • Non-technical users who need a no-code LinkedIn data tool
  • Teams requiring real-time LinkedIn data with zero latency tolerance
  • Use cases involving private or non-public LinkedIn content
Trade-offs

Friction report

Trade-offs to know before signing up.

  1. Time to value
    Fast: free account activated immediately, no credit card; first API call possible within minutes using their docs.
  2. Scale breakpoint
    Credit costs compound quickly at volume — 1M protected profile scrapes require the $200/mo PRO plan or above; enterprise workloads jump sharply to $4K+/mo.
  3. Walled garden
    Low: JSON output is fully portable; no proprietary storage or dashboards lock in your data.

A look inside

Scrapingdog LinkedIn Scraper API product screenshot

Frequently Asked Questions

Does this LinkedIn scraping API provide company profile and employee data?

LinkedIn scraping APIs can retrieve company profiles and employee information.

Can Scrapingdog LinkedIn Scraper API extract employee list data?

Scrapingdog LinkedIn Scraper API extracts employee lists and company data efficiently.

How does a Scrapingdog LinkedIn Scraper API help sales teams collect lead information from LinkedIn for prospecting?

A Scrapingdog LinkedIn Scraper API helps sales teams gather lead information from LinkedIn while handling proxies and anti-blocking mechanisms.

How does this LinkedIn scraping API provide secure and reliable access to LinkedIn data for applications?

The platform ensures secure, reliable API access to LinkedIn data for integration into applications and business tools.

Scrapingdog LinkedIn Scraper API

Scrapingdog LinkedIn Scraper API extracts LinkedIn profiles and connections efficiently for prospecting and analytics.

Alternatives

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Tags

#WebScraping#DataExtraction