The Best LinkedIn Scraping Tools in 2025

In this guide, I’ll share the top 10 LinkedIn scraping tools for 2025. These tools can help you scale your business and build a stronger sales pipeline.

In a hurry? Check out this TL;DR list:

1. Bright Data : Industry leader with robust API and proxies.
2. Apify : No-code platform with pre-built workflows.
3. PhantomBuster : Automates LinkedIn scraping and outreach tasks.
4. Dripify : Combines LinkedIn scraping with sales automation.
5. Proxycurl : API for enriched LinkedIn data extraction.
6. Octoparse : No-code tool specialized in LinkedIn job scraping.
7. Scrapin.io : Browser-based tool for quick LinkedIn data scraping.
8. Scrapingdog : Developer-friendly scraper with advanced anti-blocking.
9. Linkedin_scraper : Open-source Python library using Selenium.
10. linkedin-api : Lightweight Python library for LinkedIn automation.

LinkedIn scraping tools are more powerful than ever, enabling businesses and professionals to extract valuable data for lead generation, recruitment, and market research. Here are the top 10 tools to consider.

It’s important to note that I am not affiliated with any of the providers mentioned below.

Bright Data

Bright Data is one of the leading tools for LinkedIn scraping. It’s known for its reliability, powerful features, and high customization options. The platform offers a robust API for extracting detailed LinkedIn data, including job titles, company names, education, skills, and more.

Bright Data is particularly useful for developers and businesses that want to integrate LinkedIn data into their systems or CRMs. The platform emphasizes accuracy and efficiency and helps users collect large amounts of LinkedIn data while avoiding detection. Its extensive range of features, such as proxy rotation and CAPTCHA solving, makes it a top choice for those looking to scrape LinkedIn at scale.

Key Features:

• Customizable API: Allows for deep customization of scraping operations.
• Residential Proxies: Bright Data provides a massive pool of residential IP addresses to help avoid detection and ensure the scraping process remains smooth and undisturbed.
• Automatic CAPTCHA Solving: A built-in CAPTCHA solver that ensures seamless data extraction without interruptions.
• Data Export: Provides data in various formats, including CSV, JSON, and Excel.
• Advanced Filtering: Allows users to filter by industry, location, job titles, and other LinkedIn-specific parameters.

Pros:

• High accuracy and reliability.
• Seamless integration with existing applications via API.
• Large pool of proxies and rotating IP addresses.
• Flexible pricing, including a free trial and a pay as you go plan.
• Great support.
• No-code solution for non-technical users.
• Lots of different formats to retrieve the data.

Cons:

• Doesn’t allow scraping behind a log in (illegal).

Pricing:

• Starts from $0.001 per record. Bright Data’s pricing model is flexible and scalable, making it suitable for both small projects and large enterprises.

Apify

Apify is a versatile web scraping platform that offers various tools for LinkedIn data extraction. It is popular for its ease of use and flexibility. Apify provides pre-built “Actors” that allow users to scrape LinkedIn data, including profiles, companies, and job listings, quickly.

One of its key tools is the LinkedIn Companies & Profiles Bulk Scraper, which enables users to collect data from multiple profiles and company pages at once. This tool helps avoid common issues like IP blocking and CAPTCHA challenges. Apify’s simple interface makes it easy for technical and non-technical users to gather LinkedIn data efficiently, while its automation features ensure seamless, large-scale scraping.

Key Features:

• User-Friendly Interface: Apify’s no-code interface makes it accessible for non-technical users.
• Automated Workflows: Schedule data scraping tasks to run automatically, reducing manual intervention.
• Data Export: Supports a variety of output formats like CSV, JSON, XML, and Excel.
• Proxy Rotation: Built-in IP rotation and CAPTCHA solving.
• Cloud Storage: Store your scraped data securely in Apify’s cloud storage.

Pros:

• Extremely user-friendly with minimal setup required.
• Integrates well with other tools like Zapier, Google Sheets, and Slack.
• Great for high-volume scraping with built-in automation features.

Cons:

• Pricing may be high for users on a tight budget.
• Some users report occasional scraping delays when handling massive amounts of data.

Pricing:

• Plans start at $49/month, with a specific LinkedIn scraping tool (LinkedIn Companies & Profiles Bulk Scraper) available for $29/month after a 2-day free trial.

PhantomBuster

PhantomBuster is a great no-code LinkedIn scraping tool, perfect for users who want an easy and powerful solution. It’s widely used for LinkedIn automation and lead generation. The tool allows users to scrape data from LinkedIn profiles, job listings, and more.

PhantomBuster offers over 50 automation workflows, making it simple to collect data while automating tasks like sending connection requests, messaging prospects, and enriching CRM contacts. Its user-friendly design ensures that both beginners and experienced users can easily navigate the platform. With PhantomBuster, users can save time by automating LinkedIn activities and efficiently gathering valuable data for their marketing or sales campaigns.

Key Features:

• No-Code Automation: No technical expertise is required to use PhantomBuster’s scraping tools.
• Pre-Built Templates: Offers over 50 LinkedIn automation tasks (called “Phantoms”) to save you time.
• Data Export: Data can be exported in CSV and JSON formats.
• CRM Integration: Direct integration with popular CRM systems like HubSpot, Salesforce, and Pipedrive.
• Easy Setup: Chrome and Firefox extensions make setup quick and painless.

Pros:

• User-friendly interface for non-developers.
• Integrates seamlessly with CRMs for enriched lead data.
• Great for automating LinkedIn outreach and data collection simultaneously.

Cons:

• Higher pricing for full features.
• Limited advanced customization compared to other tools.

Pricing:

• Plans start from $56/month, with higher-tier plans available for more extensive data scraping.

Dripify

Dripify is a LinkedIn automation and prospecting platform designed to streamline LinkedIn activities for sales teams. It’s especially useful for combining LinkedIn scraping with lead generation tasks, such as sending automated connection requests and follow-up messages. Dripify allows users to scrape LinkedIn profiles to gather data like job titles, company names, email addresses, phone numbers, and more.

The platform’s easy-to-use interface makes managing outreach campaigns simple while helping users collect valuable information. Whether you’re building leads or engaging with prospects, Dripify helps sales teams automate key tasks while extracting crucial LinkedIn data to fuel their campaigns.

Key Features:

• Profile Scraping: Extract contact details, work history, and other professional information from LinkedIn profiles.
• CRM Integrations: Connect Dripify with CRM systems such as Google Sheets, HubSpot, Zoho, and more.
• CSV Export: Download your collected data in CSV format for easy analysis and use.
• Automation Features: Automate LinkedIn tasks like sending connection requests, messages, and profile visits.

Pros:

• Great for sales teams looking to automate lead generation and prospecting.
• Integration with popular CRMs for better lead tracking.
• User-friendly with no coding required.

Cons:

• May not be as customizable as API-based tools.
• Pricing may be high for smaller teams or individuals.

Pricing:

• Plans start at $79/month, with additional costs for higher-tier features.

Proxycurl

Proxycurl is a powerful LinkedIn scraping API that allows users to extract various data, such as profiles, company pages, job listings, and more. Proxycurl stands out for its flexibility and rich features for deeper data enrichment. Users can scrape public LinkedIn data and enhance it with additional information like work emails, social media profiles, and more. This extra data helps users create a more detailed and accurate profile of their leads.

Proxycurl is ideal for businesses looking to gather comprehensive LinkedIn insights. It makes it easier to engage with prospects and improve lead generation efforts. The platform’s API integration also simplifies the process for developers.

Key Features:

• Profile Scraping: Retrieve detailed profile information, including work history, education, and skills.
• Company Data: Scrape data from company pages and extract employee listings, locations, and job openings.
• Role and Employee Lookup: Search for people by job titles and get access to company employee lists.
• Enrichment: Work email lookup and enrichment of contact data.

Pros:

• Offers comprehensive data enrichment options.
• Pay-as-you-go pricing model.
• Works well with Google Sheets and Zapier for integration.

Cons:

• Requires technical knowledge for effective use.
• The user interface could be more intuitive.

Pricing:

• Pay-as-you-go pricing starting at $0.10 per credit.

Octoparse

Octoparse is a popular no-code tool for scraping LinkedIn job listings. It is especially useful for HR professionals, recruiters, or job posting services who need to collect job data quickly and easily. The tool has a simple point-and-click interface, making it easy for non-technical users to build scraping workflows.

Octoparse automatically identifies important fields on LinkedIn job pages, such as job titles, company names, and locations. This makes it simple to extract and organize the data. Whether you are looking to gather job opportunities or analyze job trends, Octoparse helps you do it efficiently without needing coding skills. It’s a great choice for anyone who wants to automate their LinkedIn job scraping process.

Key Features:

• Job Scraping: Extract job postings, including job titles, locations, company names, and job descriptions.
• Pre-Configured Templates: Built-in templates make it easy to start scraping LinkedIn jobs immediately.
• Customizable Workflows: Customize your scraping tasks to collect the exact data you need.
• Bulk Export: Export scraped job data in CSV or Excel format for easy processing.

Pros:

• Simple, no-code setup.
• Specialized in LinkedIn job scraping.
• Integrates well with Zapier, Google Sheets, and other tools.

Cons:

• Less flexibility for other types of LinkedIn data scraping.
• Can be expensive for high-volume scraping.

Pricing:

• Paid plans start at $99/month.

Scrapin.io

Scrapin.io is an easy-to-use LinkedIn scraping API designed for marketers, recruiters, and researchers. It’s a browser-based tool, so there’s no need for installation or complicated setup. This makes it perfect for users with little technical experience. Scrapin.io allows you to gather LinkedIn profiles, contact information, education details, and more.

The platform makes it simple to extract data and export it into structured CSV or Excel files. This makes it easy to organize and use the information for various tasks. Whether you need to build a contact list or gather research data, Scrapin.io offers a quick and efficient way to scrape LinkedIn without any coding required.

Key Features:

• Profile Scraping: Gather detailed information from individual LinkedIn profiles.
• Simple Interface: No installation is required, and the browser-based platform makes it easy to start scraping quickly.
• Export Options: Data can be exported in CSV or Excel formats for easy integration with your tools.
• Automation: Integration with Zapier, Make, and n8n to automate the scraping process.

Pros:

• Minimal technical setup required.
• Great for small to medium-sized scraping tasks.
• Fast and easy data export.

Cons:

• Limited scalability for larger projects.
• Fewer advanced features compared to competitors.

Pricing:

• Plans start at $29/month.

Scrapingdog

Scrapingdog is a LinkedIn scraper built for developers and businesses that need to collect structured data from LinkedIn profiles, job listings, and company pages. It uses advanced technology like proxy pools and headless browsers to overcome LinkedIn’s anti-scraping measures. This allows users to scrape data efficiently without running into blocks or restrictions.

Scrapingdog is designed to handle large volumes of data, making it ideal for businesses that need to gather and process information at scale. Whether you need to extract job details, company information, or user profiles, Scrapingdog makes it easier to access LinkedIn data while staying under the radar of LinkedIn’s security systems. It’s a powerful tool for data extraction tasks.

Key Features:

• Profile Scraping: Extract detailed professional information from LinkedIn profiles.
• Proxy Rotation: Advanced proxy rotation technology to avoid rate-limiting and IP blocks.
• Customizable Headers: Allows users to set custom headers and cookies for better access.

Pros:

• Advanced anti-blocking measures.
• Great for high-volume scraping.
• Supports dynamic content scraping via JavaScript rendering.

Cons:

• Requires technical expertise for optimal use.
• Pricing can be confusing for smaller users.

Pricing:

• Plans start at $40/month.

Linkedin_scraper

Linkedin_scraper is a free, open-source Python library available on GitHub. It’s a great option for users who want a no-cost solution to scrape LinkedIn data. The library uses Selenium to automate actions on LinkedIn, allowing you to extract information from individual profiles and company pages.

Since it’s open-source, developers can customize and adapt the tool to meet their specific needs. It’s ideal for users comfortable with Python and looking for a flexible way to collect LinkedIn data. Whether you need to scrape contact details, job information, or company profiles, linkedin_scraper offers a straightforward way to automate the process. It’s a good choice for anyone who needs a customizable, code-based LinkedIn scraper.

Key Features:

• Python Library: Fully customizable Python API for LinkedIn scraping.
• Profile and Company Scraping: Scrape detailed information from individual profiles and company pages.
• Free to Use: No cost for access to the tool.

Pros:

• Free to use and fully customizable.
• A good choice for developers with Python expertise.

Cons:

• Requires significant technical expertise to use.
• Not as user-friendly as other tools.

Pricing:

• Free.

linkedin-api (GitHub)

linkedin-api is a free, open-source Python library available on GitHub that allows you to interact with LinkedIn programmatically, without requiring official API access. Using just valid LinkedIn account credentials, this library provides a direct HTTP API interface, eliminating the need for browser-based scraping tools like Selenium or Puppeteer. With linkedin-api, you can search profiles, retrieve job postings, send messages, and manage connections efficiently.

This library is ideal for developers who want a lightweight, code-based solution for LinkedIn automation and data retrieval. Whether you’re looking to fetch profile details, send connection requests, or interact with posts, linkedin-api offers a flexible and straightforward way to access LinkedIn data. However, it’s important to note that this library is unofficial and may violate LinkedIn’s Terms of Service, so it should be used responsibly.

Key Features:

• No Official API Access Needed : Authenticate using any valid LinkedIn user account.
• Direct HTTP API Interface : Avoid browser-based methods like Selenium or Puppeteer.
• Comprehensive Functionality : Search profiles, companies, jobs, and posts; send messages; manage connections; and more.
• JSON Output : Data is returned in JSON format for easy processing and integration.

Pros:

• Free and open-source.
• Lightweight and efficient for LinkedIn data retrieval.
• No reliance on browser automation tools.

Cons:

• Requires Python knowledge to use.
• Unofficial and may violate LinkedIn’s Terms of Service.
• Limited support for handling challenges like rate limits or CAPTCHA.

Pricing:

• Free.

Conclusion

The LinkedIn scraping tools available in 2025 fit different needs, from no-code options for beginners to powerful APIs for developers. I’ve found that Bright Data leads the industry with its flexibility, scalability, and strong features designed for high-performance scraping. If you’re looking for a simpler solution, tools like Apify, PhantomBuster, and Dripify alsooffer great no-code options. On the other hand, Proxycurl and Scrapingdog provide great APIs for developers who need more control and advanced features.

Choosing the right tool really depends on your goals, your technical skills, and your budget. Whether you’re collecting data for lead generation, market research, or job listings, these tools can make your data scraping much easier and more efficient.

Got any questions? Let me know in the comments!