Best LinkedIn Scrapers 2026: 10 Tools Compared (Pricing, Limits & Workflows)

Last updated: 2026-04-28

A LinkedIn scraper is a tool that extracts public profile and company data — names, job titles, emails, phone numbers, employee counts, tech stacks — from LinkedIn URLs at scale. According to the Salesforce State of Sales 2025 report, sales teams spend roughly 70% of their time on non-selling tasks, and prospect research is the single biggest cost center inside that 70%. A scraper turns hours of manual copy-paste into minutes of automated enrichment.

This guide compares the 10 LinkedIn scrapers we see most often in real B2B stacks, ranked by how cleanly they fit a typical prospecting workflow. We tested them on the same 500-row sample list, looked at pricing transparency, output quality, and where each one breaks down. No affiliate links. No paid placements.

Scrape LinkedIn directly inside Google Sheets

Derrick is a LinkedIn scraper that runs as a Google Sheets add-on, with an open API and a native MCP endpoint for builders. Paste profile or company URLs, get 50+ enriched columns back. 100 free credits, no card required.

Try Derrick free →

Why use a LinkedIn scraper in 2026

LinkedIn now hosts more than 1 billion members and ~67 million company pages, according to LinkedIn Marketing Solutions. That scale is what makes it the canonical B2B graph — and exactly why no human can keep up by hand. Three jobs push teams toward a scraper.

Sales teams need contact data. They want verified emails, phone numbers, current job titles, and seniority for prospects matching their ICP. Recruiters need talent data. They want skills, locations, current employers, and tenure for candidates matching open roles. RevOps and growth teams need firmographic enrichment. They want company size, tech stack, funding, and headquarters for accounts already in the CRM.

HubSpot’s State of B2B Marketing benchmarks indicate that leads enriched with firmographic and contact data convert at roughly 3× the rate of unenriched leads. The economics are simple: scraping is cheap, manual research is not.

How we evaluated each LinkedIn scraper

Every tool below was scored on the same five criteria. We avoided proxies for quality (logo count, “G2 leader” badges) and focused on what teams actually feel in week 2 of using a tool.

Output quality. On a 500-URL sample, what percentage of rows return a complete enrichment? Across our test runs, the floor was ~55% (basic profile-only tools) and the ceiling was ~92% (Derrick + Apify + Bright Data on standard public profiles).

Pricing transparency. Is the pricing on the public site, or do you need to talk to sales? Tools requiring a demo for entry-level pricing got penalized.

Workflow fit. Where does the data land? CSV download, dashboard, native Google Sheets, API, MCP, or Zapier-style workflow? The further from where you actually work, the more friction you eat.

Builder access. Does the tool offer a public API and AI-native surfaces (MCP) so engineering teams can wire it into n8n, Make, Zapier, or Claude Desktop? Tools locked to a SaaS dashboard score lower.

Real cost at volume. Sticker price is misleading. We computed cost per 1,000 enrichments on each tool’s most popular plan.

Top 10 LinkedIn scrapers compared

Pricing reflects each vendor’s published entry tier as of April 2026. Final cost varies with volume; we recommend modeling cost per 1,000 enrichments on your own usage curve.

1. Derrick — the native Google Sheets scraper

Derrick App runs as a Google Sheets add-on AND ships a public API plus a native MCP endpoint (Claude Desktop, ChatGPT, any MCP-compatible AI). You paste a column of LinkedIn profile or company URLs, pick the data points you want (50+ available, including emails, phone numbers, employee count, tech stack, funding), and Derrick fills the columns. With 31,000+ active users and credits that roll over forever on paid plans, it’s the most natural fit for teams who already work in Sheets — and the most flexible for builders who want to pipe enrichment into n8n, Make, Zapier, or any custom script.

Strengths: native Sheets, open API + native MCP, rollover credits, transparent pricing from $9/mo, free tier with 100 credits. Weaknesses: dashboard-style interfaces are not its primary surface — heavy use happens in the spreadsheet itself or via the API.

2. PhantomBuster

PhantomBuster pioneered the “Phantom” model: pre-built automation scripts that run on the cloud. Strong for chaining multiple actions (search → scrape → enrich → push to CRM). The cookie-based authentication means you connect your LinkedIn session, which carries account risk if you push limits. Pricing starts at $69/mo for 10 hours of execution; heavy users tend to land on the $159/mo Pro plan.

3. Apify

Apify is the engineering-first option. It hosts community-built and official “actors” (scrapers) you can run via API or schedule. The LinkedIn actors are well-maintained and handle proxies internally. Best when you have a developer in the loop and need raw output piped into a pipeline. Entry pricing at $39/mo, but heavy use can climb past $200/mo quickly.

4. Evaboot

Evaboot is the specialist for Sales Navigator exports. Paste a Sales Nav search URL, get a clean CSV with verified emails. Narrow but excellent at its job. Less useful if you’re not already living inside Sales Navigator.

5. Captain Data

Captain Data targets mid-market ops teams that want a workflow builder rather than a one-shot scraper. Robust connectors and good for teams running the same enrichment job weekly. Pricing starts around $399/mo, so it’s not the budget option.

6. Wiza

Wiza specializes in pulling verified emails out of Sales Navigator searches. Similar territory to Evaboot but with a stronger Chrome extension. Entry plan at $83/mo for 100 credits is steep on a per-lead basis if you’re scaling.

7. Lix

Lix is a Chrome extension popular with solo prospectors and consultants. Easy to learn, low ceiling. Good for people enriching 50–200 leads a month. Falls over at higher volumes.

8. Bright Data

Bright Data is enterprise-grade scraping infrastructure: residential proxies, scraping APIs, datasets. Powerful but the entry point is not for SMBs — expect a sales conversation and contracts in the $500–$5,000/mo range.

9. Skrapp

Skrapp is primarily an email-finding tool that scrapes LinkedIn as a side feature. If your goal is “give me the email,” Skrapp is fine. If you want firmographics, tech stack, or richer enrichment, look elsewhere.

10. Lemlist

Lemlist is an outreach platform with a built-in scraping/enrichment layer. The scraping is light but tightly integrated with the email sequencing. If you want a single tool for “find + email,” Lemlist is reasonable. If you want best-in-class scraping, it isn’t.

Quick comparison: top 3 vs Derrick

How to choose the right LinkedIn scraper

When should I use a LinkedIn scraper instead of Sales Navigator alone?

Sales Navigator is excellent at finding the right people. It’s terrible at letting you take that data anywhere else. The moment you want emails, phone numbers, or 200 leads in a CRM, you need a scraper layered on top. A practical rule: any list above ~30 leads is worth automating.

How do I avoid getting my LinkedIn account banned?

The biggest single risk factor is using your real LinkedIn cookie with a tool that doesn’t manage rate limits well. Two safer paths: pick a tool that doesn’t ask you to paste your LinkedIn cookie into a third-party cloud (Derrick, Bright Data, Apify in API mode), or use a dedicated secondary LinkedIn account for scraping that’s separate from your professional one. Note that any LinkedIn scraper will still need you to have a LinkedIn or Sales Navigator account to source URLs and lists in the first place — the goal is to minimize how much of your session ends up in someone else’s hands.

What’s the realistic cost per enriched lead?

Across the 10 tools, cost per fully enriched lead in 2026 ranges from roughly $0.01 (Derrick at scale) to $0.40+ (lower-volume Wiza/PhantomBuster setups). Engineering-grade options like Bright Data can be cheaper per row at very high volumes but carry a fixed-cost floor. We’ve seen teams pay 5× more than necessary because they picked a per-action billing model when their actual workload was burst-y rather than steady.

Can I scrape LinkedIn without writing any code?

Yes. Derrick (inside Google Sheets), PhantomBuster (cloud workflows), Lix (Chrome extension), and Lemlist all run no-code. Apify and Bright Data require some technical comfort. Captain Data sits in between with a workflow builder. If you want to bridge no-code and AI, Derrick’s MCP endpoint also lets you drive enrichment from Claude Desktop or ChatGPT in plain English, no code required.

Why do my scraping results sometimes return blank fields?

Three common causes. First, the prospect’s LinkedIn profile is private or has key fields hidden — there’s nothing to extract. Second, the company page on LinkedIn is incomplete (small or new companies often skip industry, size, or website). Third, the scraper itself failed silently (rate limit, expired cookie, broken proxy). Quality tools surface these failures explicitly. Less mature tools just return blanks.

Is LinkedIn scraping legal?

Scraping public LinkedIn data is generally permitted in the United States under the hiQ Labs v. LinkedIn 9th Circuit ruling (2019, reaffirmed 2022), which held that public profile data is not protected by the Computer Fraud and Abuse Act. LinkedIn’s Terms of Service do prohibit automated scraping, which is a contractual matter rather than a criminal one. Practically, this means most teams scrape via tools that minimize their direct exposure (no personal account, respectful rate limits) and treat the contractual risk as part of doing business. GDPR adds a separate constraint when processing EU residents’ data — you need a lawful basis (typically legitimate interest for B2B prospecting) and an honest opt-out path.

None of this is legal advice. Talk to counsel if you’re scraping at scale, especially across EU data subjects.

FAQ

What is the best free LinkedIn scraper in 2026? Derrick offers the most generous free tier with 100 credits per month, no card required, and full Google Sheets integration. Lix and Skrapp also offer limited free trials, but credit ceilings are lower.

Can I scrape Sales Navigator search results? Yes. Evaboot and Wiza specialize in this. Derrick and PhantomBuster also support it once you’ve exported the URLs.

How fast is a LinkedIn scraper? A good one processes 200 profile URLs in roughly 5–10 minutes. Manual extraction takes about 2 minutes per profile, so the same 200 rows would eat ~6.5 hours by hand.

Do LinkedIn scrapers find email addresses? Most do. Quality varies. On a clean B2B sample, the better tools (Derrick, Wiza, Evaboot) hit 70–85% verified email coverage. Cheaper tools sit closer to 40–55%.

Will LinkedIn detect that I’m using a scraper? If the tool you use logs in with your personal cookie and pushes hard, yes — eventually. If the tool runs externally without your account (like Derrick or Bright Data), the detection question doesn’t apply to you personally; it applies to the tool’s infrastructure.

What’s the difference between a LinkedIn scraper and a B2B database? A scraper pulls live data from LinkedIn at the moment you ask. A database (like ZoomInfo or Apollo) serves you a cached snapshot from their last refresh. Scrapers are fresher; databases have broader coverage of people who don’t keep their LinkedIn updated. Most serious teams use one of each.

Does Derrick offer an API or MCP endpoint? Yes — both. Derrick ships a public REST API documented at app1.derrick-app.com/api/v1/docs and a native MCP endpoint at app1.derrick-app.com/mcp, so you can drive enrichment from Claude Desktop, ChatGPT, n8n, Make, Zapier, or any custom script. Both are included from the Standard plan ($20/mo).

Conclusion

The “best” LinkedIn scraper depends on where the data needs to land and who’s running it. If your work happens in Google Sheets, Derrick is the path of least friction. If you have an engineering team and want raw scale, Apify or Bright Data — or Derrick’s API + MCP if you also want a Sheets fallback. If you live inside Sales Navigator, Evaboot is the specialist. The wrong move is letting one tool’s marketing claim convince you to retrofit your workflow around it — pick the scraper that matches your existing motion, not the other way around.