12 LinkedIn Scraping Tools You Have to Try in 2026 [Which Is Best for Your Needs?]
TL;DR
LinkedIn has 1 billion+ members and some of the richest professional data on the internet. Getting that data out in a usable form requires the right tool for your use case. This guide covers 12 LinkedIn scraping tools across every category: email scrapers, profile scrapers, Sales Navigator scrapers, and more. We also cover the three types of scrapers, the legal landscape, and how to choose the right tool without putting your account at risk.
What Is a LinkedIn Scraper?
A LinkedIn scraper is a tool that extracts data from LinkedIn profiles, search results, groups, or company pages and exports it in a structured format (CSV, JSON, or directly to a database).
Different scrapers serve different purposes. Here's a breakdown of the main types:
1. LinkedIn Email Scraper
An email scraper finds and extracts email addresses associated with LinkedIn profiles. Since LinkedIn doesn't display email addresses publicly, these tools typically cross-reference profile data with other databases or use pattern matching to find professional email addresses.
Examples: Lusha, Hunter.io, Kaspr.
2. LinkedIn Profile Scraper
A profile scraper extracts structured data from LinkedIn profiles: name, job title, company, location, education, skills, and work history. This data is useful for building prospect lists, enriching CRM records, or conducting research.
Examples: Phantombuster, Proxycurl, Apify.
Please Note: LinkedIn's terms of service prohibit scraping. The hiQ vs. LinkedIn court case established that scraping publicly available data isn't necessarily illegal under the Computer Fraud and Abuse Act, but it can still result in account restrictions or bans. Use these tools with that context in mind.
3. LinkedIn Sales Navigator Scraper
A Sales Navigator scraper extracts data from Sales Navigator search results, which are more granular than standard LinkedIn search results. These tools are specifically designed to work with Sales Navigator's interface and export the filtered lists you build.
Examples: Evaboot, Phantombuster.
4. LinkedIn Job Scraper
A job scraper extracts job postings from LinkedIn, including job title, company, location, description, and requirements. Useful for competitive intelligence, market research, or identifying companies that are hiring for roles that signal a pain point.
5. LinkedIn Post Scraper
A post scraper extracts content from LinkedIn posts, including the text, engagement metrics, and author information. Useful for social listening, competitive research, or identifying prospects who are actively discussing relevant topics.
6. LinkedIn Search Scraper
A search scraper extracts results from LinkedIn search queries, building lists of profiles that match specific criteria. This is the most common use case for sales prospecting.
7. LinkedIn Group Scraper
A group scraper extracts member lists from LinkedIn groups. Groups are valuable for prospecting because members have self-selected into a community around a shared interest, making them a pre-filtered audience.
3 Types of LinkedIn Data Scrapers
1. Chrome Extension-Based LinkedIn Scrapers
These tools run as browser extensions and extract data while you browse LinkedIn. They're easy to set up and don't require technical knowledge, but they're slower than cloud tools and require your browser to be open.
Please note: Chrome extension scrapers are more detectable by LinkedIn because they operate within your browser session. Use them for moderate volumes, not high-volume extraction.
2. Python-Based LinkedIn Scrapers
Python-based scrapers use libraries like Selenium or Playwright to automate browser interactions and extract data programmatically. They're highly flexible and customizable, but require coding knowledge.
Please Note: Python scrapers are powerful but carry higher account risk if not implemented carefully. LinkedIn actively detects and blocks automated browser behavior.
3. Cloud-Based LinkedIn Scrapers
Cloud-based scrapers run on remote servers, not your local machine. They're faster, more scalable, and generally safer for your LinkedIn account because they can use proxy rotation and mimic human browsing patterns.
12 Best LinkedIn Scraping Tools We Tried
1. Outly
Best for: Turning LinkedIn data into personalized outreach
Outly approaches LinkedIn data differently from traditional scrapers. Rather than extracting profiles for export, Outly uses LinkedIn profile data in real time to generate personalized outreach. The AI analyzes each prospect's profile to write a connection request or message that references something specific about them.
This closes the loop between data and action. Instead of exporting data and then figuring out what to do with it, Outly handles both the data extraction and the outreach in one workflow.
Pricing: Starter at $39.99/month, Pro at $79.99/month. Start at app.useoutly.com.
2. Phantombuster
Best for: Technical teams that need flexible, scriptable LinkedIn data extraction
Phantombuster is one of the most versatile LinkedIn scraping tools available. It offers dozens of "phantoms" (automation scripts) for extracting data from LinkedIn: profile scrapers, search result exporters, group member extractors, event attendee lists, and more.
The tool is cloud-based, which means it runs without your browser being open. The data output is clean and exportable to CSV or directly to Google Sheets.
Pricing: From $56/month.
3. Proxycurl
Best for: Developers who need to enrich LinkedIn profile data via API
Proxycurl is an API specifically designed for LinkedIn data. You send a LinkedIn profile URL, and Proxycurl returns structured data: name, job title, company, education, skills, and more. The API is clean and well-documented.
Pricing: Credit-based, from $0.01/profile.
4. Bright Data
Best for: Enterprise teams that need large-scale LinkedIn data
Bright Data is an enterprise data collection platform with a LinkedIn dataset product. Rather than scraping yourself, you can purchase pre-collected LinkedIn data or use their scraping infrastructure to collect it.
Pricing: Custom, typically $500+/month.
5. SalesQL
Best for: Finding email addresses and phone numbers from LinkedIn profiles
SalesQL is a contact enrichment tool that finds email addresses and phone numbers for LinkedIn profiles. The Chrome extension shows contact information when you visit a profile, and you can export data in bulk.
Pricing: Free plan available. Paid from $39/month.
6. Evaboot
Best for: Sales Navigator users who want to export and enrich search results
Evaboot is a specialized tool for exporting data from LinkedIn Sales Navigator. If you have a Sales Navigator subscription, Evaboot lets you export search results with cleaned, enriched data including email addresses.
Pricing: From $29/month.
7. Findymail
Best for: Finding verified email addresses for LinkedIn contacts
Findymail is an email finder that integrates with LinkedIn to help you find verified email addresses. It also works with Sales Navigator exports, enriching your prospect lists with email data.
Pricing: Free plan available. Paid from $49/month.
8. Wiza
Best for: Exporting LinkedIn Sales Navigator searches with email addresses
Wiza is a tool for exporting LinkedIn Sales Navigator searches with email addresses included. It's similar to Evaboot but with a slightly different feature set and pricing structure.
Pricing: Free plan available. Paid from $49/month.
9. LeadIQ
Best for: Sales teams that want contact data while prospecting on LinkedIn
LeadIQ is a prospecting tool with a LinkedIn Chrome extension. When you visit a LinkedIn profile, the extension shows you the person's email address and phone number, and lets you save them directly to your CRM.
Pricing: Free plan available. Paid from $45/user/month.
10. Dripify
Best for: Small-scale data extraction alongside LinkedIn automation
Dripify is primarily a LinkedIn automation tool, but its data extraction features are useful. You can scrape profile data while visiting profiles, export contact information, and build lists from search results.
Pricing: From $39/month.
11. Octopus CRM
Best for: Teams that want LinkedIn automation with basic data export
Octopus CRM is a LinkedIn automation tool with data export capabilities. You can build prospect lists, automate connection requests and messages, and export contact data to CSV.
Pricing: From $9.99/month.
12. Linked Helper 2
Best for: Teams already using Linked Helper who need basic data export
Linked Helper includes data extraction features alongside its automation capabilities. You can export profile data, connection lists, and search results to CSV.
Pricing: From $15/month.
Frequently Asked Questions About LinkedIn Data Scraping
Is LinkedIn Scraping Illegal?
The legal status of LinkedIn scraping is nuanced. LinkedIn's terms of service prohibit scraping, and violating those terms can result in account suspension or legal action from LinkedIn.
However, the hiQ vs. LinkedIn court case established that scraping publicly available data isn't necessarily illegal under the Computer Fraud and Abuse Act. The case went through multiple appeals and established that accessing publicly available data doesn't constitute unauthorized access under federal law.
The practical reality: scraping carries account risk even if it's not strictly illegal. LinkedIn actively detects and blocks scraping activity. Use these tools with that context in mind, and consider whether a pre-built database (Apollo, Lusha) covers your use case before building a scraping workflow.
How Many Profiles Can I Scrape From LinkedIn Every Day?
LinkedIn doesn't publish official limits, but the platform actively monitors for unusual activity. Free accounts are more restricted than premium accounts. Sales Navigator accounts have higher limits.
As a rough guide, staying under 100-200 profile views per day on a free account and under 500-1,000 on a premium account reduces detection risk. Cloud-based tools with proxy rotation can handle higher volumes more safely.
How Do I Scrape LinkedIn Using Python?
Python-based LinkedIn scraping typically uses Selenium or Playwright to automate browser interactions. The basic approach:
- Install Selenium or Playwright
- Authenticate with your LinkedIn credentials
- Navigate to search results or profile pages
- Extract data using CSS selectors or XPath
- Export to CSV or a database
This approach requires coding knowledge and carries account risk if not implemented carefully. For most use cases, a purpose-built tool is faster and safer than building a custom scraper.
The Ultimate LinkedIn Scraping Tool?
The right tool depends on what you're trying to accomplish:
If you need contact data (emails, phones): Apollo, Lusha, or LeadIQ are the most efficient options. They're pre-built databases, not scrapers, which means faster results and lower account risk.
If you need to extract data from specific LinkedIn searches or groups: Phantombuster or Apify give you the most flexibility.
If you're a Sales Navigator user: Evaboot or Wiza are purpose-built for your use case.
If you need enterprise-scale data: Bright Data or Proxycurl are the most capable options.
If you want to turn LinkedIn data into outreach: Outly closes the loop between data and action, using profile data to generate personalized messages rather than just exporting it.
A Note on Risk
All LinkedIn scraping carries some account risk. LinkedIn actively works to detect and block scraping activity. A few practices that reduce risk:
- Use a secondary LinkedIn account for high-volume scraping, not your primary account
- Respect rate limits and don't scrape at volumes that look inhuman
- Use cloud-based tools rather than browser extensions where possible
- Consider whether a pre-built database covers your use case before building a scraping workflow
The tools above range from low-risk (Apollo, Lusha) to higher-risk (Phantombuster, Apify at high volumes). Match the tool to your risk tolerance and use case.
Ready to Turn LinkedIn Data Into Conversations?
Outly uses LinkedIn profile data to generate personalized outreach at scale, so you're not just collecting data, you're acting on it. Starter plan at $39.99/month. Pro plan at $79.99/month.
