LinkedIn Scraping Tools That Power Smarter Decisions
If you’re serious about data collection on LinkedIn, you know how crucial it is to have the right tool. With over 900 million users and a wealth of professional data, LinkedIn is a goldmine—but only if you know how to tap into it.
LinkedIn scraping tools make it easier to extract relevant data like job titles, company info, skills, and contact details. But not all LinkedIn scrapers are created equal. Choosing the right tool can be the difference between a smooth, efficient process and a frustrating one.
Let’s dive into the best LinkedIn scraping tools for 2025. These tools are powerful, reliable, and designed to meet various needs—whether you’re a marketer, recruiter, or developer.
Exploring LinkedIn Scraping
LinkedIn scraping is the process of automating data extraction from LinkedIn profiles and company pages. The goal? To collect valuable insights like job titles, company details, skills, and contact info—all at scale. Scraping tools simplify this by automating what would otherwise be an incredibly time-consuming process.
There are three primary types of LinkedIn scraping tools:
- No-code tools: These are ideal for non-techies and offer easy-to-use interfaces.
- Scraping APIs: These are for developers who want to integrate LinkedIn data collection into their apps or workflows.
- Scraping libraries: These are open-source code libraries (often in Python or JavaScript) for those with programming experience who want to build custom scrapers.
Types of Data You Can Scrape from LinkedIn
You can collect a wealth of information, but it all depends on what’s publicly available. Here are some of the most valuable data fields:
For Company Pages:
- Company name, description, and size
- Industry and company type
- Headquarters location and foundation year
- Showcase pages and affiliated companies
For Individual Profiles:
- Name, headline, and contact info (email/phone)
- Job title, company, and work experience
- Education, certifications, and skills
- Languages spoken, honors, and followers
This list is far from exhaustive—LinkedIn is a treasure trove of valuable data for businesses, recruiters, and marketers.
How to Choose the Best LinkedIn Scraping Tool
When selecting a LinkedIn scraping tool, consider these essential factors:
- Features: Does the tool provide the specific data you need?
- Ease of Use: Is it simple to operate, or do you need technical expertise?
- Pricing: Can you afford it? Does it offer a free trial?
- Reliability: Does the tool have a solid reputation and good reviews?
Now, let’s take a look at the top contenders.
Powerful LinkedIn Data Scraping Tools You Should Know
Swiftproxy
Best For: Advanced scraping needs with high scalability.
Overview: Swiftproxy offers two powerful tools: LinkedIn Scraper API and LinkedIn Profile Scraper. Known for its massive proxy network and robust features like automatic CAPTCHA solving, IP rotation, and data export options, this is a top choice for businesses with serious scraping needs.
Key Features:
99.99% uptime
JavaScript rendering
GDPR compliant
Bulk data handling
Pros: Flexible, scalable, and trusted by over 20,000 companies.
Cons: Requires technical know-how.
Price: Starts from $0.001/record.
Free Trial: Yes, on all plans.
Rating: 4.6/5 on G2.
Proxycurl
Best For: Users needing an easy-to-use API with broad scraping capabilities.
Overview: Proxycurl provides a simple API to scrape profiles, companies, and job listings. Its database of 472 million profiles is an extra perk.
Key Features:
Work and personal email lookup
Comprehensive profile and company endpoints
Pros: Seamless integration with various technologies.
Cons: Credits expire after 18 months.
Price: Pay-as-you-go starting at $0.10/credit.
Free Trial: Yes.
Rating: 4.4/5 on G2.
HeyReach
Best For: Marketing teams looking to scale LinkedIn outreach.
Overview: While not a dedicated scraper, HeyReach’s automation software includes scraping features that can pull employee data and event attendees from LinkedIn.
Key Features:
Integration with CRMs
Automated LinkedIn outreach tasks
Pros: No code, easy to use.
Cons: Not entirely focused on scraping.
Price: Starts at $79/month.
Free Trial: Yes, 14-day free trial.
Rating: 4.9/5 on G2.
Apify
Best For: Developers looking for flexibility and powerful web automation.
Overview: Apify’s platform lets you create custom scraping agents—perfect for tech-savvy users.
Key Features:
1,500+ available actors
Python and JavaScript clients
Pros: Highly customizable with a free trial and strong community support.
Cons: Slow support response times.
Price: Starts at $49/month.
Free Trial: 2-day free trial.
Rating: 4.8/5 on G2.
LinkedIn Scraper (GitHub)
Best For: Developers looking for an open-source solution.
Overview: This free Python library is the go-to for anyone familiar with coding and looking for a customizable LinkedIn scraping tool.
Key Features:
Collects 20+ data fields
Regularly maintained
Pros: Completely free and customizable.
Cons: Requires Python knowledge.
Price: Free.
Rating: —
PhantomBuster
Best For: Automating data collection and lead generation.
Overview: A no-code tool that automates LinkedIn scraping and integrates well with CRM systems like HubSpot and Google Sheets.
Key Features:
50+ LinkedIn automation tasks
Task scheduling
Pros: Great for users who want to integrate scraping with CRM and sales processes.
Cons: Requires URL input for scraping.
Price: Starts at $69/month.
Free Trial: Yes, 14-day free trial.
Rating: 4.2/5 on G2.
Dripify
Best For: Sales professionals seeking automated LinkedIn lead generation.
Overview: Dripify helps automate LinkedIn prospecting, including scraping emails and other contact details from profiles.
Key Features:
Google Sheets and CRM integrations
13 data fields collected
Pros: User-friendly and integrates with sales tools.
Cons: Limited to profile data.
Price: Starts at $79/month.
Free Trial: Yes, 7-day free trial.
Rating: 4.5/5 on G2.
Linked Helper
Best For: Small businesses or solo entrepreneurs automating LinkedIn tasks.
Overview: Linked Helper is a desktop app with scraping features that lets you collect data from profiles, including contact details.
Key Features:
CSV export
Message history downloader
Pros: Easy to use with a strong knowledge base.
Cons: Requires installation.
Price: Starts at $15/month.
Free Trial: Yes, 14-day free trial.
Rating: 4.5/5 on G2.
Oxylabs
Best For: Overcoming anti-scraping defenses with powerful proxies.
Overview: While Oxylabs doesn’t have LinkedIn-specific scraping endpoints, its proxy services are excellent for bypassing rate limits and other anti-scraping measures.
Key Features:
Real-world browser fingerprints
CAPTCHA bypass
Pros: Can handle large-scale scraping.
Cons: No direct LinkedIn API.
Price: Starts at $49/month.
Free Trial: Yes, 7-day free trial.
Rating: 4.5/5 on G2.
Meet Alfred
Best For: Users who want an all-in-one LinkedIn automation platform.
Overview: Meet Alfred provides automation and scraping capabilities for LinkedIn, helping you gather data from profiles and companies.
Key Features:
Automated connection requests
Profile tagging
Pros: Clean, user-friendly interface.
Cons: Not dedicated to scraping alone.
Price: Starts at $59/month/user.
Free Trial: Yes, 14-day free trial.
Rating: 2.4/5 on G2.
Conclusion
The best LinkedIn scraping tool for you depends on your specific needs. Swiftproxy stands out for its advanced features, scalability, and reliability. But, if you’re looking for something simpler or more specialized, other tools like Proxycurl may be a better fit.