5 Best LinkedIn Scraper MCPs for B2B Prospecting in 2026

SyncGTM's MCP server exposes LinkedIn profile enrichment, post history, post commenters, post reactors, and job-change detection as direct tool calls — the widest reach of any server on this list — without ever authenticating as you on LinkedIn. There's no session cookie to manage and no browser to keep logged in, which removes the specific failure mode that breaks most self-hosted LinkedIn scrapers within weeks.

Where a typical scraper MCP stops at "pull this profile," SyncGTM's server is built for the follow-up questions a prospecting workflow actually asks: who engaged with this post, who commented, and has this person changed jobs recently. Those endpoints run against a live data layer rather than a single cached snapshot, so results reflect current activity instead of a stale scrape.

Setup is a one-line documented command with no API key to generate. Explore the underlying GTM agent library or a ready-made workflow template to see what a connected agent produces before committing to a paid plan.

Bright Data's MCP server routes requests through its proxy and web-unlocker infrastructure, giving an AI assistant structured access to LinkedIn profile and company data without the assistant itself needing to solve CAPTCHAs or manage IP rotation. It's general-purpose web-access infrastructure with LinkedIn as one of its higher-value, purpose-built endpoints.

The free tier is genuinely usable for testing — 5,000 requests per month with no credit card required, per Bright Data's own MCP pricing page. Past that, LinkedIn-specific datasets are priced above Bright Data's generic web-unlocker rate, reflecting the extra work of maintaining scrapers against a platform that actively defends against them.

Because Bright Data operates the scraping infrastructure rather than your session, the account-ban risk shifts to the provider rather than your own LinkedIn login — a meaningfully different risk profile than a self-hosted browser-automation scraper.

Apify isn't a single LinkedIn scraper — it's a marketplace of dozens of them, each shipped as an "Actor" with its own MCP endpoint, price, and data scope. That makes Apify the most flexible option on this list: pick a cookie-free profile-search actor for low-risk lookups, or a deeper bulk scraper if you need more fields and accept more risk.

Pricing follows the same per-actor pattern. Profile scrapers on Apify's marketplace range from roughly $0.10 per search page up to $12 per 1,000 company records, depending on which actor and how much post-processing it does. That variance is a feature for teams that want to shop by risk and budget, but it means there's no single "Apify price" to quote.

The trade-off is diligence. Because actors are built by different third-party developers, reach, freshness, and login requirements vary actor to actor — you're evaluating a marketplace listing each time, not a single vendor's fixed product.

stickerdaniel/linkedin-mcp-server is a free, open-source MCP server that drives a real, logged-in LinkedIn session through Selenium-controlled Chrome to pull profile, company, and job data. It's the most transparent option here in one sense — the code is fully inspectable — and the highest-risk in another, since it authenticates as you.

Because it runs against your actual account, it can reach data that no-login servers can't — content gated behind a real logged-in view — but that same session is exactly what LinkedIn's automated-behavior detection is built to flag. The project itself is built for developers comfortable managing their own infrastructure, not a plug-and-play hosted service.

There's no vendor fee, which makes it attractive for one-off or low-volume use. For anything running regularly, the realistic cost is a disposable secondary LinkedIn account and the engineering time to keep Selenium and Chrome versions from drifting out of sync.

Derrick is a native-enrichment MCP: instead of scraping LinkedIn directly, it sources contact and company data through its own pipeline and exposes it as a lightweight, credit-metered tool call. For teams that just need a fast profile or company lookup without standing up scraping infrastructure, it's the simplest server on this list to get running.

Transparent pricing is the differentiator the vendor leads with — starting at $9/mo with a 100-credit free tier, and public per-credit rates rather than a custom-quote-only model. That's a lower barrier to entry than Bright Data's or Apify's usage-based structures for teams doing occasional lookups rather than bulk volume.

The trade-off is reach. Derrick focuses on profile and company enrichment rather than post-level engagement data — it doesn't expose commenter, reactor, or job-change endpoints the way SyncGTM's MCP does, so teams that need engagement-level signals will still need a second tool.