BitBrowser Multi-Account Security Innovation and Industry Trends
Stay updated with real-time innovation achievements and dynamics, featuring curated in-depth industry analysis.

The 10 Best LinkedIn Scraping Tools of 2025

2025.08.28 21:15 petro

LinkedIn remains the go-to platform for professional networking, recruitment, and B2B lead generation. To maximize its potential, many businesses and data professionals rely on LinkedIn scraping tools to extract valuable insights at scale.

This guide will walk you through:

  • What a LinkedIn scraper is
  • What type of data can be scraped
  • Key factors when choosing the right scraper
  • The top 10 LinkedIn scraping tools in 2025, including features, pros, cons, pricing, and reviews

    image.png

What Is a LinkedIn Scraper?

A LinkedIn scraper is a tool that automates the process of extracting public data from LinkedIn profiles, company pages, and job postings. Instead of manually copying details, scrapers streamline the process for recruiting, sales, research, or AI training datasets.

Types of LinkedIn Scrapers:

  1. No-code platforms – User-friendly cloud or desktop apps for non-developers.
  2. Scraping APIs – Developer-friendly APIs to pull structured LinkedIn data into scripts or apps.
  3. Scraping libraries – Open-source libraries (often Python/JavaScript) for custom extraction logic.

What Data Can Be Scraped from LinkedIn?

From company pages:

  • Company name & URL
  • Description ("About" section)
  • Industry, size, location, foundation year
  • Employees list & affiliated companies
  • Website & showcase pages

From individual profiles:

  • Name, headline, and about section
  • Job title & career history
  • Education & certifications
  • Skills & endorsements
  • Languages
  • Follower count & connections

(Note: availability depends on what users choose to make public.)

Key Considerations When Choosing a LinkedIn Scraper

When evaluating scraping tools, look at:

  • Features: Bulk scraping, API support, proxy integration, export options
  • Ease of use: No-code vs. developer-oriented
  • Free trial: Test before committing
  • Pricing model: Subscription vs. pay-as-you-go
  • Reliability: Uptime, proxy support, CAPTCHA handling
  • Reviews: What other users are saying on platforms like G2

Top 10 LinkedIn Scrapers of 2025

1. Bright Data – Best Overall

image.png
  • Type: API & no-code
  • Features: LinkedIn Scraper API, LinkedIn Profile Scraper, CAPTCHA bypass, IP rotation, 99.99% uptime
  • Pros: Enterprise-grade, unlimited scale, export to JSON/CSV, GDPR-compliant
  • Cons: Requires some technical setup
  • Pricing: From $0.001/record
  • Reviews: ⭐ 4.6/5 (G2, 180 reviews)

2. Proxycurl

image.png
  • Type: LinkedIn scraping API
  • Features: Company & profile endpoints, job listings, email lookup
  • Pros: Great documentation, large database of public profiles
  • Cons: Credits expire after inactivity
  • Pricing: From $0.10/credit
  • Reviews: ⭐ 4.4/5 (G2)

3. Apify

image.png
  • Type: Web scraping platform
  • Features: Prebuilt LinkedIn scrapers (actors), API access, JavaScript/Python clients
  • Pros: No credit card for free trial, large scraper library
  • Cons: Support for LinkedIn-specific actors can be slow
  • Pricing: From $49/mo
  • Reviews: ⭐ 4.8/5 (G2)

4. HeyReach

  • Type: LinkedIn automation platform
  • Features: Scraping employees, group members, event attendees
  • Pros: User-friendly, CRM integrations
  • Cons: Not specialized in scraping, higher cost
  • Pricing: $79/mo per account
  • Reviews: ⭐ 4.9/5 (G2)

5. LinkedIn Scraper (GitHub – Joeyism)

  • Type: Open-source Python library
  • Features: Profile & company scraping, customizable API
  • Pros: Free, open-source, well-maintained
  • Cons: Requires coding knowledge, limited fields
  • Pricing: Free
  • Reviews: —

6. PhantomBuster

  • Type: Cloud-based automation
  • Features: 50+ LinkedIn automation tasks, export to Sheets/Excel
  • Pros: No code, versatile, automation beyond scraping
  • Cons: Needs profile URLs, not scraper-focused
  • Pricing: $69/mo
  • Reviews: ⭐ 4.2/5 (G2)

7. Dripify

  • Type: Prospecting & automation tool
  • Features: Profile scraping, CSV export, CRM integration
  • Pros: Easy to use, integrates with HubSpot & Google Sheets
  • Cons: Company scraping limited
  • Pricing: $79/mo (Pro plan for scraping)
  • Reviews: ⭐ 4.5/5 (G2, 223 reviews)

8. Oxylabs

  • Type: Scraping API with proxy support
  • Features: CAPTCHA bypass, JavaScript rendering, proxy pool
  • Pros: Developer-friendly, robust infrastructure
  • Cons: No dedicated LinkedIn endpoints
  • Pricing: From $49/mo
  • Reviews: ⭐ 4.5/5 (G2)

9. Linked Helper

  • Type: Desktop LinkedIn automation app
  • Features: Profile scraping, email/phone extraction, CSV export
  • Pros: Affordable, cross-platform, trusted by 300k+ users
  • Cons: Requires installation, not cloud-based
  • Pricing: $15/mo
  • Reviews: ⭐ 4.5/5 (G2)

10. Meet Alfred

  • Type: LinkedIn automation tool
  • Features: Scraping + outreach automation, CRM integration
  • Pros: All-in-one, no Chrome extension required
  • Cons: Poor reviews, not scraping-focused
  • Pricing: $59/mo per user
  • Reviews: ⭐ 2.4/5 (G2)

Best LinkedIn Scraper: Quick Comparison

ToolTypeFree TrialPay-as-you-goPriceG2 Score
Bright DataAPI & Dataset Provider$0.001/rec4.6/5
ProxycurlAPI$0.10/cred4.4/5
ApifyScraping PlatformLimited$49/mo4.8/5
HeyReachAutomation Platform$79/mo4.9/5
LinkedIn ScraperOpen-source LibraryFree
PhantomBusterAutomation Platform$69/mo4.2/5
DripifyAutomation & Prospecting Tool$79/mo4.5/5
OxylabsAPI + Proxy Network$49/mo4.5/5
Linked HelperDesktop Application$15/mo4.5/5
Meet AlfredAutomation Platform$59/mo2.4/5

Conclusion

If you’re looking for a scalable, enterprise-ready LinkedIn scraping solution, Bright Data’s LinkedIn Scraper API is the top choice in 2025. It offers powerful data extraction, automation, and proxy handling — all without worrying about bans or infrastructure.

For smaller teams or individual users, Proxycurl and Apify provide excellent flexibility, while open-source users may prefer the free GitHub LinkedIn Scraper.

The right tool depends on your budget, technical expertise, and whether you need simple profile scraping or enterprise-level data pipelines.