TL;DR
- 2026 roundup ranking 5 LinkedIn scrapers on scale, price, DX, stability, freshness.
- Scrapingdog: 1M profiles; Enterprise $1k/mo ≈110k ($0.009); 5+ yrs, 200+ users; fresh data.
- Bright Data: ~$0.05/profile; big pool but some downtime.
- Apify: cookie-based; ~50 (normal) / ~500 (premium); 3-day trial then $25/mo; good for small runs.
- Phantombuster: ~80/day via cookies; unstable, pricing unclear. PDL: ~$0.28/profile, older DB.
LinkedIn Scrapers are quite in demand in 2026. LinkedIn has the largest pool of corporates available today.
So obviously, you can find many people on this platform who could have the same interests as yours. But websites like LinkedIn can serve you with data that can be used for selling goods and products.
LinkedIn has more than 800 million active users where people share their work experience, skills, and achievements daily. If you scrape and use this data wisely then you can generate a lot of leads for your business.
Of course, this data can also be used for other purposes like finding the right candidate for the job or maybe enriching your own CRM.
In this article, we will talk about the best LinkedIn scrapers in the market. Using these scrapers you can scrape Linkedin at scale.
Quick Comparison of Best LinkedIn Scraping Tools
| Tool | Tool Type | Developer-Oriented | Scalability | Price |
|---|---|---|---|---|
| Scrapingdog | LinkedIn Scraper API | Yes | 1M profiles | $1k/mo (≈ $0.009/profile) |
| Brightdata | Proxy provider with LinkedIn scraper | Yes | High | ~$0.05/profile |
| Phantombuster | LinkedIn scraping service | — | 80/day | Not clear |
| People Data Labs | Data enrichment API | Yes | Not scalable | ~$0.28/profile |
| Apify | Web scraping platform | Yes | 50 (normal) / 500 (premium) | $25/mo |
| Skrapp.io | Email finder & enrichment | Yes | Moderate | $37/mo (10k credits) |
Advantages of using LinkedIn Scrapers Instead of Collecting Data Manually
- You will always stay anonymous. On each request, a new IP will be used to scrape a page. Your IP will always be hidden.
- The pricing will be less as compared to the official API.
- You can get parsed JSON as the output.
- 3rd Party APIs can be customized according to demands.
- 24*7 support is available with many of them.
Some Challenges of Scraping LinkedIn at Scale
If you have researched enough, you must by now know that there are tools with which you can scrape a few hundred profiles/jobs without any problem.
These tools either use your LinkedIn Profile/LinkedIn Sales Navigator which makes them limited in terms of their abilities to extract data.
The main problem arises when you scrape LinkedIn at scale. Some of them are ⬇️
- Legal and Ethical Issues:
- User Agreement Violation: LinkedIn’s terms of service prohibit the scraping of their website. Engaging in this activity can result in legal action against the perpetrators.
- Privacy Concerns: Extracting user data without consent violates privacy norms and can lead to severe repercussions. I have discussed in detail about the legality of scraping LinkedIn in this blog.
- User Agreement Violation: LinkedIn’s terms of service prohibit the scraping of their website. Engaging in this activity can result in legal action against the perpetrators.
- Technical Challenges:
- Rate Limits: LinkedIn monitors and restricts frequent and massive data requests. An IP address can be temporarily banned if it makes too many requests in a short period.
- Dynamic Content Loading: LinkedIn uses AJAX and infinite scrolling to load content dynamically. Traditional scraping methods often fail to capture this kind of content.
- Complex Website Structure: LinkedIn’s DOM structure is intricate, and elements might not have consistent class or ID names. This can make the scraping process unstable.
- Captchas: LinkedIn employs captchas to deter automated bots, making scraping even more challenging.
- Cookies and Sessions: Managing sessions and cookies is necessary to mimic a real user browsing pattern and avoid detection.
- Rate Limits: LinkedIn monitors and restricts frequent and massive data requests. An IP address can be temporarily banned if it makes too many requests in a short period.
- Maintenance Issues:
- Frequent Changes: LinkedIn, like other modern web platforms, frequently changes its user interface and underlying code. This means scrapers need constant updating to remain functional.
- Data Quality: Ensuring the scraped data’s accuracy, relevancy, and completeness can be challenging, especially at scale.
- Frequent Changes: LinkedIn, like other modern web platforms, frequently changes its user interface and underlying code. This means scrapers need constant updating to remain functional.
- Infrastructure and Costs:
- Large-scale Scraping: Scraping at scale requires a distributed system, proxy networks, and cloud infrastructure, increasing the complexity and costs.
- Data Storage: Storing vast amounts of scraped data efficiently and securely is another challenge.
- Large-scale Scraping: Scraping at scale requires a distributed system, proxy networks, and cloud infrastructure, increasing the complexity and costs.
- Anti-Scraping Mechanisms:
- Sophisticated Detection: LinkedIn employs sophisticated bot detection mechanisms. Mimicking human-like behavior becomes essential to avoid detection.
- Continuous Monitoring: LinkedIn monitors for suspicious activities and can block accounts or IP addresses even if you successfully scrape data.
- Sophisticated Detection: LinkedIn employs sophisticated bot detection mechanisms. Mimicking human-like behavior becomes essential to avoid detection.
Advantages of using LinkedIn Scrapers Instead of Collecting Data Manually
- You will always stay anonymous. A new IP will be used on each request to scrape a page. Your IP will always be hidden.
- The pricing will be lower than the official API.
- You can get parsed JSON as the output.
- 3rd Party APIs can be customized according to demands.
- 24*7 support is available.
Best LinkedIn Scrapers [In 2026]
We will be judging these LinkedIn lead Scraper APIs based on 5 attributes.
- Scalability means how many pages you can scrape in a day.
- Pricing of the API. What is the cost of one API call?
- Developer-friendly refers to the ease with which a software engineer can use the service.
- Stability refers to how much load a service can handle or for how long the service is in the market.
- Data Quality refers to how old the data is.
Scrapingdog’s LinkedIn Scraper API
Scrapingdog offers a simple and easy-to-use LinkedIn Scraper API.
This API can be used to scrape either a person’s profile or a company profile. Other than this Scrapingdog offers LinkedIn Jobs scraper to scrape job data from this platform.
Scalability
Well, you can scrape around 1 million profiles from Scrapingdog’s LinkedIn Scraping API be it job data or profile data.
Pricing
The enterprise pack will cost $1k per month and you can scrape 110k profiles. Each profile will cost $0.009.
Developer Friendly
The documentation is self-explanatory and the user can test the API directly from the dashboard without setting up any coding environment.
Stability
Scrapingdog has been in the market for 5 years now and has more than 200 users which proves its stability in scraping LinkedIn at scale.
Data Quality
We always scrape fresh data.
Here’s a video that demonstrates how you can use the API to scrape data at scale. ⬇️
Brightdata LinkedIn Scraper
Brightdata, along with its large proxy network also provides LinkedIn Scrapers.
Scalability
Their scalability is great but the error rate might go up due to disturbances in their proxy pool. Bright data goes down frequently.
Pricing
Their solution could be a little expensive. The per-profile cost is around $0.05.
Developer Friendly
The whole documentation is quite easy to read and there are request builders which can help you get started quickly.
Stability
No doubt Brightdata has the biggest proxy pool in the market but they frequently go down sometimes. But overall their infrastructure is quite solid.
Data Quality
They do scrape fresh data like Scrapingdog.
Phantombuster
Phantombuster is another Linkedin scraper provider. Recently they have changed their messaging from web scraping services to lead generation services.
Scalability
Using Phantombuster you can only scrape 80 profiles in a day that too with your credentials and cookies. This may lead to the blocking of your account. Hence it cannot be used for mass scraping.
Pricing
The pricing for this service is not clear on their website.
Developer Friendly
No documentation is available on the website.
Stability
They are simply using your cookies to scrape the LinkedIn profile. This service is not at all stable because, after 50 profiles, LinkedIn will block your account and the cookies will no longer remain valid.
Data Quality
You will get fresh data.
People Data Labs
PDL provides data enrichment technology. You can use their APIs to find valuable insights for any prospect.
Scalability
PDL is designed for small projects. You cannot scrape thousands of profiles with it in a short time frame. So, the scalability is not great.
Pricing
It will cost you $0.28 per profile. This makes them very very costly.
Developer Friendly
The documentation is nice which makes them developer-friendly.
Stability
If you are ok with old data then it is stable.
Data Quality
The data you get will be from an old database because they don’t scrape it fresh. They have data sources that they renew at regular intervals.
Apify
Apify is another great LinkedIn scraper. You can scrape person’s profile as well as the company profile.
Scalability
Their API only works if you pass cookies from your logged-in LinkedIn account. So, if you pass cookies from a normal account, you will be able to scrape a maximum of 50 profiles, and if you are passing cookies from a premium account, you will scrape a maximum of 500 profiles. Once you reach these limits your account will be banned by Linkedin and logged out of your account.
So, Apify is for those who just want to scrape a very small number of profiles.
Pricing
They provide a 3-day free trial after that they charge $25 per month.
Developer Friendly
Documentation is very clear and whether you are a developer or a non-developer you will be able to scrape profiles using Apify. It provides a hook through which you can scrape profiles using make.com.
Stability
Service is completely stable and you can scrape a small number of profiles very easily without getting blocked.
Data Quality
You will always get fresh data from their API. Since you are passing the cookies then you will get data like skills, history, etc which are absent in almost all the other scrapers.
Skrapp.io’s LinkedIn Extension
Wanted to mention this particular product as a special mention in this article. They aren’t a dedicated LinkedIn Scraper, but a service that can be used on top of it.
Skrapp.io focuses on email finding and data enrichment from LinkedIn profiles. They specialize in extracting verified business emails rather than comprehensive profile scraping.
Scalability
Skrapp.io is designed for moderate-scale email extraction. With their Professional plan, you get 10,000 email credits per month, and their Enterprise plan offers 25,000 credits monthly. Each credit allows you to find one verified email address, making it suitable for targeted email campaigns rather than mass profile scraping.
Pricing
Professional plan costs $37/month (billed annually) for 10,000 email credits, making each verified email cost approximately $0.0037. Enterprise plan costs $75/month (billed annually) for 25,000 credits, bringing the cost down to $0.003 per email. They also offer a free plan with limited credits.
Developer Friendly
Skrapp.io offers browser extensions for LinkedIn, Sales Navigator, and LinkedIn Recruiter, making it accessible for non-developers. They also provide API integrations for Enterprise users. The platform is user-friendly with clear documentation and multiple export options.
Stability
Skrapp.io has been serving over 2 million professionals and has established partnerships with major companies like Adobe, IBM, and Microsoft. Their service focuses on compliance, and they only charge for valid and catch-all emails, ensuring fair usage. The service is stable for email extraction purposes.
Data Quality
They provide real-time email verification with their integrated email verifier. The platform ensures high accuracy by only charging for deliverable emails marked as ‘Valid’ or ‘Catch-all.’ However, their focus is primarily on email data rather than comprehensive profile information.
Final Verdict
We have compiled a report considering all the factors above. This report is the result of a comprehensive analysis of each API.
Although they may appear similar at first glance, further testing reveals that only a small number of APIs (one or two) are stable and suitable for production purposes.
Therefore, it is essential to evaluate the options based on your specific requirements and choose the most appropriate one from the given list.
I hope this list and my testing will help you pick one of them. If you liked the article do consider sharing it.
FAQ (Frequently Asked Questions)
(1) What is the best LinkedIn data extractor tool?
The best LinkedIn data extractor tool is one that can reliably collect profile, company, and job data at scale without requiring a logged-in account. API-based LinkedIn scrapers such as Scrapingdog, Bright Data are commonly preferred because they return structured data, handle dynamic LinkedIn pages, and help reduce blocking risks compared to browser extensions or manual scraping scripts.
(2) What is the best LinkedIn scraper for lead generation?
For lead generation, the best LinkedIn scraper is one that can extract key contact and professional details such as name, job title, company, industry, and profile URL. Tools that support bulk scraping, filters, and clean data output are ideal for sales teams and outreach campaigns.
(3) Is it safe to scrape data from LinkedIn?
Scraping LinkedIn is safer when only publicly available data is collected and scraping activity is kept within reasonable limits. Using tools with proxy rotation, rate limiting, and proper request handling helps reduce the risk of IP blocks while supporting more stable data extraction.
