LinkedIn Scraping Tools

Last update: January 22, 2025

LinkedIn scrapers, or LinkedIn scraping tools, are software or script used to access and extract publicly available data from LinkedIn, including LinkedIn profiles, job listings and LinkedIn search results data.  +Show More

LinkedIn scrapers, or LinkedIn scraping tools, are software or script used to access and extract publicly available data from LinkedIn, including LinkedIn profiles, job listings and LinkedIn search results data. LinkedIn scraping tools help users extract the following data points:

  • Profile data: Current job, education details, skills, etc. 
  • Company data: Company name, size, location, and website URL.
  • Search result: Collect data for a given keyword or URL. 
  • Group information: Gather data from LinkedIn group discussions, such as posts, likes or comments.

To be categorized as a LinkedIn scraper a product must provide an:

  • Interface (code or graphics based) for building web scrapers.
  • Bot management module to start/stop/control scraper activities.
If you’d like to learn about the ecosystem consisting of LinkedIn Scraping Tools and others, feel free to check AIMultiple Proxies & scrapers.
How relevant, verifiable metrics drive AIMultiple’s rankings

AIMultiple uses relevant & verifiable metrics to evaluate vendors.

Metrics are selected based on typical enterprise procurement processes ensuring that market leaders, fast-growing challengers, feature-complete solutions and cost-effective solutions are ranked highly so they can be shortlisted.
Data regarding these metrics are collected from public sources as outlined in the “What are AIMultiple’s data sources?” section of this page.


There are 2 ways in which vendor metrics are processed to help prioritization:
1- Vendors are grouped within 4 metrics (customer satisfaction, market presence, growth and features) according to their performance in that metric.
2- Vendors that perform high in these metrics are ranked higher in the list.


The data used in each vendor’s ranking can be accessed by expanding the vendor’s row in the below list.
This page includes links to AIMultiple’s sponsors. Sponsored links are included in “Visit Website” buttons and ranked at the top of the list when results are sorted by “Sponsored”. Sponsors have no say over the ranking which is based on market data. Organic ranking can be seen by sorting by “AIMultiple” or other sorting approaches. For more on how AIMultiple works, please see the ethical standards that we follow and how we fund our research.

Products Position Customer satisfaction
Bright Data logo

Bright Data

Leader
Satisfactory
Bright Data is the world\'s leading platform for web data collection, serving over 20,000 businesses with tools to access, extract, and structure public web data effectively and ethically. With a robust proxy network, scraping APIs, and pre-collected datasets, it powers scalable, reliable, and compliant data-driven operations across industries.

Unmatched Performance: With a global network of over 100 million IPs in 200+ countries and advanced unblocking technology, Bright Data ensures fast, reliable, and high-success-rate data collection.

Scalability & Reliability: Built to handle operations of any size, Bright Data seamlessly supports businesses scraping terabytes of data monthly.

Advanced Automation: Save time with automated scraping tools that manage JavaScript rendering, unblocking, and crawling effortlessly.

Cost Efficiency: Volume-based pricing and optimized proxy solutions help reduce redundant requests and cut operational costs by up to 40%.

Compliance & Ethics: Bright Data prioritizes ethical data collection, maintaining strict adherence to global regulations and industry best practices.

24/7 Expert Support: Bright Data provides round-the-clock, dedicated support from a team of experts to ensure your operations run smoothly at all times.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.75 / 5 based on ~300 reviews
Market presence
Company's number of employees
1k-2k employees
Company's social media followers
30k-40k followers
Company
Type of company
private
Founding year
1901
Apify logo

Apify

Leader
Satisfactory
Apify is a platform for web scraping and automation, enabling users to extract data from websites, process it, and automate their workflows. It provides scrapers and proxies to support data collection projects.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.62 / 5 based on ~200 reviews
Market presence
Company's number of employees
100-200 employees
Company's social media followers
5k-10k followers
Total funding
$1-5m
# of funding rounds
4
Latest funding date
June 19, 2019
Last funding amount
$1-5m
Company
Type of company
private
Founding year
2015
Linked Helper logo

Linked Helper

Leader
Satisfactory
LinkedIn automation tool that allows sales teams to extract data from LinkedIn automatically
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.50 / 5 based on ~100 reviews
Market presence
Company's number of employees
1-5 employees
Company's social media followers
30-40 followers
Company
Type of company
private
Founding year
2016
Lyne.ai logo

Lyne.ai

Leader
Satisfactory
Enables sales and marketing teams to extract prospect data from LinkedIn Sales Navigator search and exports the scraped data in CSV format.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.60 / 5 based on ~90 reviews
Market presence
Company's number of employees
1-5 employees
Company's social media followers
1k-2k followers
Company
Type of company
private
Founding year
2020
Phantombuster logo

Phantombuster

Challenger
Satisfactory
Offers cloud-based LinkedIn profile scraper and a company scraper to help users scrape public data from the platform.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.36 / 5 based on ~100 reviews
Market presence
Company's number of employees
5-10 employees
Company's social media followers
100-200 followers
Total funding
$1-1m
# of funding rounds
2
Latest funding date
May 1, 2019
Last funding amount
$1-1m
Company
Type of company
private
Founding year
2016
Meet Alfred logo

Meet Alfred

Challenger
Low
Meet Alfred is a LinkedIn automation platform that provides a LinkedIn scraper to extract data from LinkedIn Sales Navigator, people or company profiles.

Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
2.80 / 5 based on ~20 reviews
Market presence
Company's number of employees
10-20 employees
Company's social media followers
1k-2k followers
Nimble logo

Nimble

Challenger
N/A
Nimble is a web data platform, offering web scraping API solutions including SERP, E-commerce, and web APIs to extract raw or structured data. These APIs come equipped with integrated residential proxies, both dedicated and rotating, and Unblocker Proxy. Nimble also offers rotating residential proxies with advanced targeting options including states and cities.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Market presence
Company's number of employees
50-100 employees
Company's social media followers
5k-10k followers
Company
Type of company
private
Founding year
2021

“-”: AIMultiple team has not yet verified that vendor provides the specified feature. AIMultiple team focuses on feature verification for top 10 vendors.


Sources

AIMultiple uses these data sources for ranking solutions and awarding badges in linkedin scraping tools:


4 vendor web domains
4 funding announcements
10 social media profiles
14 profiles on review platforms
8 search engine queries

LinkedIn Scraping Leaders

According to the weighted combination of 4 metrics

Bright Data Proxies & Scrapers logo
Apify logo
Lyne.ai logo
Linked Helper logo
Phantombuster logo

What are linkedin scraping
customer satisfaction leaders?

Taking into account the latest metrics outlined below, these are the current linkedin scraping customer satisfaction leaders:

Bright Data Proxies & Scrapers logo
Apify logo
Lyne.ai logo
Linked Helper logo
Phantombuster logo

Which linkedin scraping solution provides the most customer satisfaction?

AIMultiple uses product and service reviews from multiple review platforms in determining customer satisfaction.

While deciding a product's level of customer satisfaction, AIMultiple takes into account its number of reviews, how reviewers rate it and the recency of reviews.

  • Number of reviews is important because it is easier to get a small number of high ratings than a high number of them.
  • Recency is important as products are always evolving.
  • Reviews older than 5 years are not taken into consideration
  • older than 12 months have reduced impact in average ratings in line with their date of publishing.

What are linkedin scraping
market leaders?

Taking into account the latest metrics outlined below, these are the current linkedin scraping market leaders:

Bright Data Proxies & Scrapers logo
Apify logo
Lyne.ai logo
Linked Helper logo
Phantombuster logo

Which one has collected the most reviews?

AIMultiple uses multiple datapoints in identifying market leaders:

  • Product line revenue (when available)
  • Number of reviews
  • Number of case studies
  • Number and experience of employees
  • Social media presence and engagement
Out of these, number of reviews information is available for all products and is summarized in the graph:

Bright Data Proxies & Scrapers
Apify
Lyne.ai
Linked Helper
Phantombuster

What are the most mature linkedin scraping tools?

Which one has the most employees?

Bright Data logo
Apify logo
 logo
ilebi logo
 logo

Which linkedin scraping companies have the most employees?

22 employees work for a typical company in this solution category which is 1 less than the number of employees for a typical company in the average solution category.

In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 5 companies with >10 employees are offering linkedin scraping tools. Top 3 products are developed by companies with a total of 1k employees. The largest company in this domain is Bright Data with more than 1000 employees. Bright Data provides the linkedin scraping solution: Bright Data Proxies & Scrapers

Bright Data
Apify
ilebi

Insights

What are the most common words describing linkedin scraping tools?

This data is collected from customer reviews for all linkedin scraping companies. The most positive word describing linkedin scraping tools is “Easy to use” that is used in 3% of the reviews. The most negative one is “Difficult” with which is used in 1% of all the linkedin scraping reviews.

What is the average customer size?

According to customer reviews, most common company size for linkedin scraping customers is 1-50 Employees. Customers with 1-50 Employees make up 77% of linkedin scraping customers. For an average Proxies & scrapers solution, customers with 1-50 Employees make up 29% of total customers.

Customer Evaluation

These scores are the average scores collected from customer reviews for all linkedin scraping tools. LinkedIn Scraping Tools are most positively evaluated in terms of "Overall" but falls behind in "Likelihood to Recommend".

Overall
Customer Service
Ease of Use
Likelihood to Recommend
Value For Money

Where are linkedin scraping vendors' HQs located?

What is the level of interest in linkedin scraping tools?

This category was searched on average for 455 times per month on search engines in 2024. This number has decreased to 0 in 2025. If we compare with other proxies & scrapers solutions, a typical solution was searched 30.5k times in 2024 and this decreased to 0 in 2025.

Learn more about LinkedIn Scraping Tools

LinkedIn scraping tools are software specifically designed to extract data from LinkedIn. The extracted information might be different data points, including job details, LinkedIn profiles, contact details and company information.

Legality of scraping LinkedIn data depends on the the specific circumstances and your jurisdiction. LinkedIn's terms and privacy policies and consult with legal counsel to understand the laws and regulations relevant to your jurisdiction.

The following are examples of data that can be scraped from LinkedIn:

  • Personal profiles: Names, headlines, profile pictures, and location data
  • Company profiles: Company name, industry, and number of employees
  • Job postings :Job description, qualifications, and responsibilities
  • LinkedIn search results: Information about companies or profiles

LinkedIn scrapers automatically navigate the LinkedIn website to extract the required information on those pages. The scraping tool analyzes the HTML code of the target profile page to find the needed data. After locating desired data, the scraper extracts it from the page. The extracted data is saved in a structured format like CSV.