Key takeaways
- ✓ The "LinkedIn scraper" market splits into five distinct categories in 2026: profile extractors, Sales Navigator extractors, outreach automations with scraping, enrichment platforms that call scrapers, and done-for-you delivery. Pick the tool after picking the category.
- ✓ For pure Sales Navigator exports: Evaboot is the most accurate. For volume pay-as-you-go: Apify. For stealth at scale: Bright Data. For outreach + scraping combined: Dripify or Waalaxy.
- ✓ Every tool that drives your LinkedIn account will trigger at least one restriction within 90 days of daily use. This is not a tool problem, it is a LinkedIn problem. Budget for it or use off-account methods.
- ✓ Cost at 10,000 leads/month: free (DIY, unstable), $30-90 (Apify, Evaboot), $150-300 (PhantomBuster, Dripify), $400-800 (Bright Data, Clay), $500-1,500 (managed delivery).
- ✓ Real decision tree: ICP narrow + one-time = Evaboot. ICP wide + recurring = Apify + Clay. Outreach included = Dripify. No developer + no time = managed delivery.
A LinkedIn scraper is any tool that pulls structured profile, company, or search-result data from LinkedIn into a CSV, database, or API. In 2026 there are roughly 30 options that call themselves one, but only 12 are worth considering. This guide ranks them by use case, not by marketing budget.
The tools fall into five buckets. We rank inside each bucket and then give a verdict on which combination wins for four common scenarios.
How we ranked the tools
Ranking criteria
- → Data quality: how clean is the CSV when you open it? Are job titles normalized? Are emails verified?
- → Anti-detection: does the tool run on your LinkedIn account (risky) or off-account (safer)? Does it throttle requests intelligently?
- → Cost per 1,000 profiles: at realistic volume, not the marketing teaser tier.
- → Maintenance burden: how often does it break when LinkedIn ships a layout change?
- → Ecosystem: does it integrate with your enrichment stack (Clay, Apollo, Instantly) or is it a silo?
Category 1 — Profile and company scrapers
These pull individual profile or company data from public or authenticated pages. The workhorses of any LinkedIn-based data pipeline.
1. Apify — Sales Navigator & Profile actors
Apify hosts several LinkedIn scrapers as community "actors" (hosted runtime for scraping scripts). The two you want are Apify LinkedIn Profile Scraper and Sales Navigator Scraper. Priced per-run at roughly $0.10 to $0.30 per profile depending on depth. The maintainers patch when LinkedIn changes selectors, usually within a week. Best for teams that want a reliable scraping engine without running infrastructure. Weak spot: output schema varies between actors.
2. Evaboot
Evaboot is a narrow but elite tool. It does one thing — export Sales Navigator and Recruiter searches to clean CSVs — and does it better than anyone. Pricing is $9 per 1,000 leads with email verification included. The CSV column normalization (job title, company, seniority) is the cleanest on the market. If 80% of your LinkedIn data needs are Sales Navigator exports, Evaboot is the top pick. Weak spot: does not scrape profiles outside of search results.
3. Bright Data — LinkedIn Dataset
Bright Data sells both a live scraper and a pre-built dataset of hundreds of millions of LinkedIn profiles, refreshed on a schedule. The dataset path is unusual for LinkedIn — it means you skip scraping entirely and buy the snapshot. Pricing starts around $499/month for 100k records of dataset access, or $2 to $4 per 1,000 profile scrapes. Best for enterprise teams that need bulk data without operational risk. Weak spot: expensive at small volumes, data freshness lag of days to weeks on the dataset.
4. Proxycurl (formerly NubelaCorp)
Proxycurl is API-first: you POST a LinkedIn URL, you GET a JSON profile back. Pricing is pay-as-you-go at roughly $0.01 to $0.05 per profile depending on enrichment depth. No account to configure, no cookies to maintain. Best for engineering teams that want to embed profile lookups in their app (e.g., ATS, CRM enrichment). Weak spot: does not handle Sales Navigator search, only direct profile or company lookups.
5. joeyism/linkedin_scraper (open-source)
GitHub: joeyism/linkedin_scraper is the most-starred open-source LinkedIn scraper. Selenium-based, runs on your local Chrome. Free. Breaks every 2 to 3 months when LinkedIn ships a layout change, and a new version usually drops within two weeks. Best for developers who want to learn how LinkedIn renders and do not need production-grade reliability. Weak spot: uses your own LinkedIn session, so account restrictions hit you directly.
Category 2 — Outreach automations with scraping built in
These are primarily outreach tools (sequenced messages, connection requests) that include scraping as a feature because they need the data to run the sequences.
6. Dripify
Dripify is a cloud-based LinkedIn outreach tool with lead extraction baked in. You build sequences, Dripify drives your account from its servers (not your local Chrome), which dramatically reduces fingerprint risk. Pricing starts at $39/month for single-user, $79 for teams. Best for SDR teams that want outreach + scraping in one subscription. Weak spot: scraping is deliberately throttled to outreach-friendly volumes (a few hundred profiles per day), so do not expect bulk data pulls.
7. Waalaxy
Waalaxy is a French-made competitor to Dripify with similar positioning. Pricing from €21/month. Clean UI, strong at LinkedIn + email multichannel. Scraping is limited to the sequences you run. Best for small teams in FR/EU markets that want a non-US tool. Weak spot: less mature integrations with US-based enrichment tools like Clay.
8. Dux-Soup
Dux-Soup is a Chrome extension (there is also a cloud tier) that drives your LinkedIn account from the browser. Older, scrappier than Dripify or Waalaxy. Starts at $14.99/month. Best for solopreneurs on a budget who want hands-on control. Weak spot: Chrome extension means your session, your risk.
9. PhantomBuster
PhantomBuster sits between scraping and automation. It offers 100+ "Phantoms" (pre-built scripts) for LinkedIn, Instagram, Twitter, Google Maps. Pricing from $56/month. Excellent for one-off workflows that combine scraping + messaging + spreadsheet output. Weak spot: Phantoms break when platforms update, and PhantomBuster patches on platform priority, not yours. See our PhantomBuster alternatives guide for the full breakdown.
Category 3 — Enrichment platforms that orchestrate scrapers
These do not scrape directly. They call scrapers (Apify, Proxycurl, Bright Data) and stitch the results with other data sources into workflows.
10. Clay
Clay is a spreadsheet-like workflow tool that connects to 50+ enrichment APIs including most LinkedIn scrapers. You do not "use Clay to scrape LinkedIn" — you use Clay to orchestrate the scraping, then pipe results into email finders, AI copywriters, and CRMs. Pricing starts at $149/month and scales with credits. Best for GTM ops teams that want to combine LinkedIn data with other sources (G2, Crunchbase, tech stack detection) in one pipeline. Weak spot: the LinkedIn scraping itself still costs per-credit through whichever underlying scraper Clay calls.
11. Captain Data
Captain Data is Clay's European sibling. Less marketing spend, equally serious product. Also orchestration-first, integrates with PhantomBuster, Apify, Dropcontact for enrichment. Pricing from $399/month. Best for EU teams that prefer European data residency. Weak spot: smaller integration catalog than Clay.
"We ran an A/B test for 60 days on the same ICP: Apify direct scraping at $0.12/profile vs Clay orchestrating Apify at $0.18/profile (Clay credits markup). The Clay version was 40% faster to ship because the enrichment chain (email finder, AI research) was already in the same workflow. For a 5-person GTM team, the $0.06 markup was worth it. At 50 leads/day, that is $3/day for saving 45 minutes of glue code."
Category 4 — Managed data delivery (done-for-you)
12. Managed scraping services
Instead of picking a tool, you brief a team with the ICP and receive the CSV. Pricing varies widely: $150 to $300 for a one-shot list of 500 to 2,000 leads, $500 to $2,000/month for recurring pipelines. Best when the cost of your time exceeds the cost of the service, when no one on the team wants to own the scraping stack, or when you need specific enrichment (ICP scoring, phone numbers, intent data) on top of the LinkedIn pull. Fullscraper runs this model across 40+ sources including LinkedIn, Sales Navigator, Google Maps, and Leboncoin.
Skip the tool selection
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Full comparison table
| Tool | Cost / 1k leads | Risk to account | Best at |
|---|---|---|---|
| Apify | $100-300 | None (off-account) | Flexible, pay-as-you-go |
| Evaboot | $9 | Low (needs account) | Sales Nav quality |
| Bright Data | $2-4 (dataset) | None | Enterprise volume |
| Proxycurl | $10-50 | None | API-first profile lookups |
| joeyism (OSS) | $0 | High (your session) | Learning, tinkering |
| Dripify | ~$40/mo all-in | Medium (cloud account) | Outreach + scraping |
| Waalaxy | ~€25/mo all-in | Medium (cloud account) | FR/EU outreach |
| Dux-Soup | ~$15/mo all-in | High (Chrome ext) | Budget solo |
| PhantomBuster | $56+/mo | Medium (your session) | Breadth of automations |
| Clay | $149+/mo + credits | Tool-dependent | Orchestration + enrichment |
| Captain Data | €399+/mo | Tool-dependent | EU-focused orchestration |
| Managed service | $150-500 per list | None | Zero-maintenance output |
Anti-detection: the risk no tool marketing page will show you
The account-level truth
Every tool that drives your LinkedIn account — Chrome extensions, cloud-based automations, even "safe" tools like Evaboot when pushed — will trigger at least one cooldown period (24 to 72 hours of limited search results) within 90 days of consistent use. This is not a bug. It is LinkedIn flagging aggressive patterns. Managed services and off-account scrapers (Apify, Bright Data, Proxycurl) sidestep this entirely because they do not touch your session.
LinkedIn's detection stack has three layers.
Volume heuristics. More than ~80 profile views or 20 connection requests per day triggers the throttle. Sales Navigator searches past 1,000 results per day hit the Commercial Use Limit. Dripify and Waalaxy intentionally stay under these, which is why their per-day scraping is modest.
Behavioral fingerprinting. LinkedIn watches mouse velocity, scroll patterns, tab focus, and timing jitter. Tools running on cloud servers (Dripify, Waalaxy) simulate these better than local Chrome extensions (Dux-Soup, joeyism).
Device fingerprinting. If you log in from New York on Chrome Mac at 9am and Dripify is driving your account from Frankfurt on Firefox Linux at 2am, the fingerprint mismatch is a flag. Good tools either mirror your known fingerprint or run stealth profiles.
"In the last 18 months, every outbound team we have worked with has had at least one LinkedIn account get a 7-day cooldown. The common thread is not the tool, it is the volume pattern. Teams that spread scraping across 3-4 accounts instead of one hero account see 70% fewer restrictions. Budget the extra seats."
Decision tree: which tool for which use case
Use case A — One-shot Sales Navigator export (500 to 5,000 leads)
Narrow ICP, one extraction, no recurring need. Verdict: Evaboot ($9 per 1,000) or Apify Sales Nav Scraper ($100-300 for 5k). Pick Evaboot if email verification matters, Apify if you need custom fields.
Use case B — Ongoing outbound with 500-2,000 new leads per week
Recurring pipeline, outreach sequences built on top. Verdict: Dripify or Waalaxy with their built-in lead finder. Cost lands at $40-80/month all-in. Keep volume under their daily caps to avoid restrictions.
Use case C — Enterprise volume 50,000+ leads per month, custom ICP
Recurring, high volume, custom filters beyond Sales Nav. Verdict: Apify + Clay combo, or Bright Data dataset if the fields map to your ICP. Budget $400-800/month. Assign an ops owner.
Use case D — No developer, no time, need the CSV this week
No one on the team wants to own the scraping stack. Verdict: Managed delivery at $200-600 per list. You brief, you receive. If the use case becomes weekly, revisit with Apify or Clay.
FAQ
What is the best LinkedIn scraper in 2026? No single winner. Evaboot for Sales Navigator quality, Apify for flexible volume, Bright Data for enterprise scale, Dripify for outreach + scraping combined, managed services for teams without a scraping owner.
Is LinkedIn scraping legal? Public data scraping is legal in the US (hiQ precedent). Behind authentication is grayer. Both violate LinkedIn ToS, with account-level consequences, not criminal.
Will my account get banned? Restricted (24-72h cooldown) is the common outcome. Permanent bans happen with aggressive multi-account patterns. Off-account methods (Apify, Bright Data, managed) avoid this risk.
What is the cheapest LinkedIn scraper? joeyism/linkedin_scraper is free but high-maintenance. Evaboot at $9 per 1,000 is the best low-risk per-lead price. Apify scales cheapest past 50k/month.
Do I need Sales Navigator? Only for Sales Navigator-specific tools (Evaboot, Apify Sales Nav Scraper). Basic profile scrapers work on any logged-in account.
Can a managed service beat dedicated tools? On speed to output and zero maintenance, yes. On unit cost at high volume, no — once you run 20k+ leads/month with good ops, in-house with Apify or Clay usually wins.
Related reading
- PhantomBuster Alternatives: 10 Tools Compared — deeper dive on the multi-source automation space.
- How to Scrape LinkedIn in 2026 — the tutorial companion to this listicle.
- B2B Data Extraction: Build vs Buy — the economics behind tool vs managed vs in-house.
- LinkedIn Lead Generation Service — when the right answer is not a tool at all.
- Amazon Review Scraper 2026 — same anti-bot principles applied to e-commerce.