With a huge repository of professional profiles, company pages, and job postings, LinkedIn offers plenty of opportunities to gather data for prospecting and lead generation.
However, accessing, exporting, and storing up-to-date data quickly and efficiently isn’t possible without a scraper designed for the task.
Below are our top picks of LinkedIn scraping tools to make the process easier. Each is suited to different user needs, from developers seeking web scraping APIs to marketers in need of no-code solutions.
How to choose a LinkedIn scraper
The criteria for the options we present below include:
- Cost: Is the pricing model transparent and scalable?
- Ease of use: Is the tool accessible and intuitive?
- Features: Does it include advanced features like proxies, CAPTCHA-solving, and integrations?
- Reviews: What do users say about the tool's performance?
Top 10 LinkedIn scrapers
1. Apify
Apify is a versatile web scraping platform that hosts a library of thousands of ready-made data collection tools (Actors) built by developers for a wide range of applications, including LinkedIn data collection. One of the most popular LinkedIn scraping tools in this library (Apify Store) is LinkedIn Companies & Profiles Bulk Scraper. This and the many other LinkedIn scrapers hosted there are built so anyone can collect data from LinkedIn, avoid blocking, and store results in the cloud.
- ✅ Cost: Apify's paid plans start at $49/month. LinkedIn Companies & Profiles Bulk Scraper costs $29/month after a 2-day free trial (no credit card required)
- ✅ Ease of use: Apify’s interface is user-friendly, with no setup required. Automated scheduling lets you set up workflows easily
- 🛠 Features:
- CAPTCHA solving, fingerprinting, and session management out of the box
- Dynamic IP rotation and geolocation targeting
- JavaScript rendering
- Data export to human-readable formats (Excel, HTML, CSV, JSON, RSS, XML)
- 20+ integrations, including Zapier, Make, Gmail, Slack, and Google Drive
- 👍 Reviews:
- 4.8/5 on G2 (116 reviews)
- 4.8/5 on Capterra (196 reviews)
2. Bright Data
Bright Data’s LinkedIn Profile Scraper is a scraping API dedicated to LinkedIn public profiles. It can retrieve data such as name, about, education, interest, company, job title, experience, and more.
- ✅ Cost: Starts from $0.001/record
- ❌ Ease of use: Requires technical knowledge
- 🛠 Features:
- User-agent and IP rotation
- Automatic CAPTCHA solving
- JavaScript rendering
- Data export to human-readable formats
- Native integration with residential proxies
- 👍 Reviews:
- 4.6/5 on G2 (180 reviews)
- 4.8/5 on Capterra (64 reviews)
3. PhantomBuster
LinkedIn Profile Scraper by PhantomBuster lets you scrape all the available data from LinkedIn profiles. Connecting your HubSpot CRM to PhantomBuster can automatically enrich your new contacts.
- ❌ Cost: Starts from $69/month
- ✅ Ease of use: A no-code solution designed for lead generation
- 🛠 Features:
- 50+ LinkedIn automation tasks (Flows)
- Firefox and Chrome extensions
- Enrich existing data with scraped information
- CSV and JSON data export
- 7 integrations with CRM/SEO tools, including HubSpot
- 👍 Reviews:
- 4.2/5 on G2 (41 reviews)
- 4.6/5 on Capterra (71 reviews)
4. Dripify
Dripify is a LinkedIn automation and prospecting platform tailored to sales professionals. It simplifies LinkedIn operations by automating tasks such as scraping LinkedIn profiles to extract email addresses, phone numbers, and other data.
- ❌ Cost: Plans start at $79/month for scraping features
- ✅ Ease of use: No-code tool designed for prospecting
- 🛠 Features:
- CSV data export
- Webhook integration via Zapier or Make
- Integrations with Google Sheets, HubSpot, Zoho CRM, and more
- Additional tools for LinkedIn operations and campaigns
- 👍 Reviews:
- 4.5/5 on G2 (258 reviews)
- 4.7/5 on Capterra (385 reviews)
5. Proxycurl
Proxycurl offers a LinkedIn scraping API designed to extract data from LinkedIn profiles, company pages, school profiles, and job listings. Its endpoints enable users to search for companies based on specific criteria and perform additional data enrichment tasks.
- ✅ Cost: Pay-as-you-go plans starting at $0.10/credit
- ❌ Ease of use: Requires technical knowledge
- 🛠 Features:
- Work email lookup
- Endpoints for person and company profiles
- Role lookup and employee listing
- Integration with Google Sheets via Sapiengraph
- Access to a database of 472,880,151 public LinkedIn profiles (available as an add-on)
- 🤷♂️ Reviews:
- 4.0/5 on G2 (17 reviews)
- 2.5/5 on Capterra (2 reviews)
6. Octoparse
This LinkedIn Job Scraper from Octoparse uses a no-code, template-based approach to extract job postings from LinkedIn. It simplifies data extraction by automatically detecting relevant fields on LinkedIn job pages and allows users to customize workflows for precise data capture.
- ❌ Cost: Paid plans start at $119/month
- ✅ Ease of use: No-code tool for non-technical users
- 🛠 Features:
- Pre-configured templates for LinkedIn scraping
- Automated data detection on LinkedIn job pages
- Workflow customization for tailored data extraction
- Bulk data export to CSV or Excel formats
- Integrations with Zapier, Google Sheets, MySQL, and SQLServer
- ✅ Reviews:
- 4.3/5 on G2 (15 reviews)
- 4.6/5 on Capterra (96 reviews)
7. Scrapin
Scrapin.io's LinkedIn Scraper API provides an intuitive LinkedIn scraper suited for marketers, recruiters, and researchers. The platform simplifies data collection with a browser-based interface and allows the export of structured data, such as contact details, education, and professional experience.
- ✅ Cost: Plans start at $29/month
- ✅ Ease of use: Beginner-friendly with minimal technical setup required
- 🛠 Features:
- Browser-based tool with no installation needed
- Data export in CSV or Excel formats
- Make, Zapier, and n8n integrations
- 🤷♂️ Reviews:
- 4.4/5 on G2 (22 reviews)
8. Scrapingdog
Scrapingdog offers a dedicated LinkedIn Scraper API designed to extract structured data, such as job titles, company names, locations, and descriptions, from LinkedIn profiles, jobs, and company pages. It uses a proxy pool and headless browser technology to handle dynamic content and prevent IP blocking to retrieve detailed information.
- ✅ Cost: Plans start at $40/month (credit-based system)
- ❌ Ease of use: Requires technical knowledge
- 🛠 Features:
- Proxy rotation to bypass rate limits
- JavaScript rendering for dynamic content
- Customizable headers and cookies
- 🤷♂️ Reviews:
- 3.3/5 on G2 (3 reviews)
9. linkedin_scraper (joeyism)
This LinkedIn Scraper is a free and open-source Python library hosted on GitHub. It uses Selenium to automate interaction with LinkedIn pages, providing APIs to extract data from individual or company profiles.
- 🤯 Cost: Free
- ❌ Ease of use: Requires technical expertise and Python knowledge
- 🛠 Features:
- Customizable Python scraping API
- Person API for individual profiles
- Company API for business pages
- 👍 Reviews: 2.1k stars on GitHub
10. linkedin-api (tomquirk)
This LinkedIn API is another Python library on GitHub for developers seeking programmatic access to LinkedIn data. It allows users to authenticate credentials and fetch data such as profile details, connections, and more in JSON format.
- 🤯 Cost: Free
- ❌ Ease of use: Requires technical expertise and Python knowledge
- 🛠 Features:
- JSON-formatted data output for profiles, connections, and job listings
- API calls without the need for HTML parsing
- Python-based SDK for streamlined integration
- 👍 Reviews: 2.2k stars on GitHub
Conclusion
Those are our top picks of scraping tools in 2025 for real-time data collection from LinkedIn for lead generation and email marketing. But if you haven't found what you're looking for, there are many LinkedIn scrapers designed for specific types of data in Apify Store. Check it out.
Note: This evaluation is based on our understanding of information available to us as of December 2024. Readers should conduct their own research for detailed comparisons. Product names, logos, and brands are used for identification only and remain the property of their respective owners. Their use does not imply affiliation or endorsement.
