LinkedIn Scraping Tools
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
| Products | Position | Customer satisfaction | |||
|---|---|---|---|---|---|
Bright Data |
Leader
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Satisfactory
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Bright Data empowers AI and business intelligence teams with real-time, high-quality public web data. Trusted by Fortune 500 companies, leading AI labs, and fast-scaling startups, Bright Data provides the foundational infrastructure needed to fuel AI models, automate decision-making, and unlock insights at scale.
Why Bright Data Is the Go-To Infrastructure for AI & BI: Built for AI: Real-World Data at Scale AI models are only as good as the data they’re trained on. Bright Data offers access to massive volumes of structured, real-time, and historical web data — ideal for training large language models (LLMs), powering AI agents, and fine-tuning machine learning pipelines. From market research to competitive analysis, Bright Data delivers the data infrastructure BI teams need to make faster, smarter decisions. Access accurate, up-to-date data from millions of websites across industries like e-commerce, real estate, finance, and more. Bright Data offers a full stack of tools to collect, structure, and deliver web data — no scraping infrastructure required. Datasets: Pre-collected, ready-to-use datasets from sources like LinkedIn, Google Maps, Crunchbase, and Zillow — ideal for AI training and enrichment. Scraper APIs: Code-free and developer-friendly APIs to extract real-time data from any website. Web Unlocker: Bypass anti-bot systems and access even the most protected websites with ease. Proxy Infrastructure: The world’s largest and most reliable proxy network for custom data collection. Key Use Cases: AI Model Training: Feed LLMs and ML models with diverse, real-world data. AI Agents: Enable autonomous agents to interact with and learn from the live web. Data Enrichment: Enhance internal datasets with public web data for better predictions and insights. BI Dashboards: Power analytics tools with fresh, structured data from across the web. Market Intelligence: Monitor competitors, pricing, and trends in real time. Features: Why Leading AI & BI Teams Choose Bright Data . Access to 72M+ IPs and 1M+ websites . Developer-friendly APIs and SDKs . AI-ready datasets with minimal preprocessing . Enterprise-grade compliance (GDPR, CCPA) . 99.99% uptime and 24/7 support . Real-time and historical data options. Developed For: AI & ML Engineers Data Scientists BI Analysts Product & Innovation Teams Enterprises building AI-driven products Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
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
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Apify |
Leader
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Satisfactory
|
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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 EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
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
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Linked Helper |
Leader
|
Satisfactory
|
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LinkedIn automation tool that allows sales teams to extract data from LinkedIn automatically
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
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
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Lyne.ai |
Leader
|
Satisfactory
|
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Enables sales and marketing teams to extract prospect data from LinkedIn Sales Navigator search and exports the scraped data in CSV format.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
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
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Phantombuster |
Challenger
|
Satisfactory
|
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Offers cloud-based LinkedIn profile scraper and a company scraper to help users scrape public data from the platform.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
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
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Meet Alfred |
Challenger
|
Low
|
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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 EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
10-20 employees
Company's social media followers
1k-2k followers
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Nimble |
Challenger
|
N/A
|
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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 EvaluationWe made these evaluations based on the following parameters; Customer satisfactionMarket 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
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“-”: 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:
LinkedIn Scraping Leaders
According to the weighted combination of 4 metrics
What are linkedin scraping
customer satisfaction leaders?
Taking into account the latest metrics outlined below, these are the current linkedin scraping customer satisfaction leaders:
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:
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
What are the most mature linkedin scraping tools?
Which one has the most employees?
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
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".
Where are linkedin scraping vendors' HQs located?
Trends
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.