10 Best LinkedIn Scrapers for Data Extraction in 2026

LinkedIn doesn’t make it easy to find a lot of leads. The solution? A LinkedIn scraper. It can kickstart lead generation by automatically pulling job titles, company insights, and lead data. 

We researched many LinkedIn scrapers and found that Evaboot is ideal for exporting Sales Navigator leads, ScrapIn is great for live LinkedIn data capture, and BrightData is a top choice for proxy scraping. 

Read on to learn more about:

• What LinkedIn scrapers do and don’t do
• Our top 10 LinkedIn scrapers and a comparison table 
• Overviews of each scraper, features, pros, cons, and pricing 
• How automation tools like Lindy can transform scraped data into results

Let’s now define LinkedIn scrapers. 

What is a LinkedIn scraper?

A LinkedIn scraper pulls public data from profiles, company pages, job posts, and search results automatically. These tools include Chrome extensions, APIs, and cloud-based SaaS platforms. 

LinkedIn data scrapers have several useful functions. Here are some of the use cases for these powerful tools: 

• Sales and business development: These tools can extract leads’ job titles, companies, and locations to build targeted outreach lists. ‍
• Recruiting: Scrapers gather candidate profiles to identify qualified talent faster.‍
• Market research: They gather data that monitors rivals’ hiring trends, employee growth, or content engagement.

Now, let’s look into the legal implications of LinkedIn scraping. 

Is LinkedIn scraping legal?

In many jurisdictions, it’s legal to scrape publicly accessible data from LinkedIn. However, scraping private LinkedIn data is not legal. Let’s explore the differences between public data and private data: 

• Public data is visible via a web search for anyone not logged into LinkedIn, like company information or public profiles. For example, a team can legally scrape company pages for employee counts, industry tags, and recent posts.

• Private LinkedIn data refers to user information on LinkedIn that is not publicly accessible without login or consent. This includes messages, information from profiles, and email addresses. 

You can’t see private LinkedIn data from a simple web search. To view it, you need to log in to LinkedIn and have a confirmed connection with users whose profiles you view. So, logging into your LinkedIn account and scraping the profiles of 1,000+ connections isn’t legal. 

Additionally, legal LinkedIn scrapers respect rate limits. Rate limits restrict the number of requests a scraper can make within a timeframe, such as per minute or hour. This prevents server overload and mimics natural human browsing behavior.

What are the risks of LinkedIn scraping?

Unfortunately, even scraping LinkedIn for public data isn’t without risk. LinkedIn data scraping comes with privacy risks and concerns about data accuracy. Here are some of the consequences that might result from scraping LinkedIn: 

Violating data privacy laws 

Scraping LinkedIn data raises concerns under data privacy laws like GDPR and CCPA. However, enforcement differs by region. Some jurisdictions, such as California, enforce strict notice, consent, and data access requirements. In contrast, other locations may lack equivalent protections. 

Getting your account or IP address banned from LinkedIn

As per LinkedIn’s user agreement, the platform doesn’t allow members to scrape any public or private data. The network’s team implements vigilant detection methods, attempting to flag and block scrapers. 

If you’re caught scraping data through a logged-in account, that account will most likely be flagged and permanently disabled. 

Retrieving inaccurate data

LinkedIn content is constantly changing. Users update their profiles, and companies create new job roles. This renders older data misleading. Without updates or validation, scraped data can be moot. 

The scrapers could also have flaws: They may not correctly parse information, especially when formats vary across user profiles or localizations. Scrapers can also misclassify job titles, misidentify employers, and make duplication errors. 

How do reputable LinkedIn scraping tools stay compliant?

Ultimately, LinkedIn data scraping tools walk a fine line. The best ones respect user privacy and comply with data protection laws. Here’s how these tools help ensure you don’t end up in trouble:

• Scraping public only profiles: They scrape only public LinkedIn data and avoid login-protected content to stay legally safe.

• Respect LinkedIn's rate limits and crawling behavior: Reputable scrapers use techniques like throttling, rotation, and low-frequency requests. These help avoid detection or server overload and mimic organic user behavior.

• Avoid collecting personally identifiable information (PII): Ethical scrapers don’t gather contact details like emails or phone numbers. 

• Use LinkedIn’s official APIs when possible: Legitimate tools seek authorized access, such as the Sales Navigator API, for integrations, avoiding TOS breaches.

• Maintain transparent logging and consent documentation: They provide auditable logs and clear data handling policies to show compliance if challenged by LinkedIn or regulators.

The 10 best LinkedIn scrapers in 2026

1. Evaboot: Sales Navigator lead export
2. ScrapIn: Real-time LinkedIn data
3. BrightData: Large-scale proxy scraping
4. PhantomBuster: Multi-channel LinkedIn automation
5. TexAu: Customizable scraping workflows
6. Captain Data: No-code automation for teams
7. Octoparse: Visual scraping with no code
8. Zopto: AI-powered outreach sequences
9. Apify: Prebuilt scraping API marketplace
10. Meet Alfred: Multichannel outreach + LinkedIn CRM

1. Evaboot: Sales Navigator lead export

Evaboot is a browser-based Chrome extension designed specifically to work with LinkedIn Sales Navigator. It lets you extract, clean, and enrich lead data directly from your Sales Navigator searches.

Core features

• One-click lead extraction: Evaboot exports your search results into a well-structured CSV file. It parses and organizes each entry automatically and with precision. 

• Duplicate detection: The platform detects duplicate entries and ensures company names are standardized. It also captures job titles cleanly for enriched sorting and segmentation.

• Email finder and verifier: Once leads are scraped, the tool appends verified professional email addresses using its native enrichment engine. It also validates emails to reduce bounce rates in cold outreach. 

Who is it for? 

Evaboot is ideal for sales teams, agencies, recruiters, and growth marketers who rely heavily on LinkedIn Sales Navigator for prospecting. It helps small to mid-sized businesses generate clean leads without building custom scraping scripts or hiring data enrichment specialists.

Pros 

• Clean data exports: Evaboot identifies duplicates, formats columns clearly, and delivers ready-to-upload CSVs. ‍
• Built-in email enrichment: The platform automatically finds and verifies email addresses directly after scraping. This eliminates the need for third-party business intelligence and accelerates time to outreach. 

Cons

• Limited to Sales Navigator: Evaboot is only compatible with LinkedIn’s premium Sales Navigator subscription. If you’re using regular LinkedIn, it won’t function.‍
• Email enrichment depends on credits: Evaboot runs on a credit-based system. If you're scraping large volumes regularly, you may burn through credits quickly.

Pricing

Evaboot starts at $9/month and provides enough credits for 50 verified emails. However, you’ll need to have a LinkedIn Sales Navigator account to use Evaboot, which starts at $99/month. 

#2 ScrapIn: Real-time LinkedIn data

ScrapIn is a cloud-based LinkedIn scraper API platform for real-time, large-scale data extraction. Built for developers and tech-savvy users, it features easy-to-integrate APIs.

Core features

• Data scraping in real time: ScrapIn’s primary feature is its ability to extract up-to-date information from LinkedIn profiles and company pages in real time. So, you won’t need to worry about outdated info. 

• API-first design: The platform offers a well-documented API, making it easy for developers to integrate ScrapIn into their existing systems. This allows for automated, large-scale data collection without manual intervention.

Who is it for?

The platform is tailored to anyone who needs to gather data from LinkedIn. But, its API-centric design makes it a tool for developers and techies. Nontechnical folks will struggle with ScrapIn. 

Pros

• Rapid automation: ScrapIn’s API-first design allows you to automate data collection processes, integrating directly with CRMs, analytics platforms, or custom workflows.‍
• Lock-down security: The platform employs advanced security protocols, like role-based access control, encryption, and regular vulnerability assessments.

Cons

• Requires technical knowledge: Non-technical users will need support to set up and maintain automated API workflows or integrations.‍
• Costly: The platform lets you purchase a minimum number of credits, which can be expensive for smaller organizations. 

Pricing

Credit-based pricing starts at $1,000, which provides a limited number of real-time LinkedIn scrapes. 

#3 Bright Data: Large-scale proxy scraping

Bright Data is a cloud-based data collection platform that enables you to access, extract, and analyze LinkedIn and web data at scale.

Core features

• Vast proxy network and scraping tools: Bright Data boasts one of the world’s largest proxy networks, offering residential, datacenter, mobile, and ISP proxies. This proxy diversity gives access to public web data without getting blocked. It helps ensure reliable, large-scale data collection.

• Data collection tool: The Data Collector feature automates gathering data from thousands of sites, delivering clean, structured datasets ready for analysis. 

Who is it for?

Bright Data is made for a broad spectrum of users, from solo entrepreneurs to large enterprises.  But you’ll need to bring some technical expertise, as Bright Data isn’t a beginner-friendly tool. 

Pros

• Reliable data access: Bright Data’s vast proxy infrastructure ensures you can reach virtually any public web source, overcoming geo-blocks and anti-bot defenses.
• Flexible integration: The API-first architecture allows integration with existing systems, enabling you to automate data collection and customize workflows. 

Cons

• Complex: The platform’s breadth of features and technical options can overwhelm first-time users, and the API-first approach requires a technical background. ‍
• Potential overkill: If you only have basic data extraction needs, Bright Data’s extensive feature set may be more than necessary.

Pricing

The platform offers different pricing for proxies, starting at $3.53 per GB, and scraper APIs starting at $1.05 per 1k. It also has business intelligence datasets, starting at $250/month. 

#4 PhantomBuster: Multi-channel automation

PhantomBuster is a cloud-based automation platform for data extraction and outreach across LinkedIn and other major social networks and web platforms.

Core features

• Works with multiple platforms: PhantomBuster supports data scraping on over 20 platforms, including LinkedIn, Facebook, and X.

• Automation: The platform lets you automate tasks like scraping profile data, extracting company information, and managing social media interactions. 

Who is it for?

PhantomBuster is ideal for sales, marketing, and recruiting professionals in small to medium-sized businesses (SMBs), agencies, and startups. It helps by automating lead generation and outreach without too much manual effort.

Pros

• Premade automations: The platform offers 100+ pre-built automations, allowing you to extract data, generate leads, and automate outreach across the web. This suits beginners seeking a non-technical solution. ‍
• More than just data scraping: You can build workflows for data scraping, lead enrichment, and social media engagement. Then, schedule these to run automatically in the cloud.

Cons

• Advanced action learning curve: If you’re building action that involves multiple steps, chaining it together can take some time and experimentation. ‍
• Account risk: A PhantomBuster user on Trustpilot said that when they used the platform on their socials, it got them banned. 

Pricing

PhantomBuster pricing starts at $69/month and provides you with an unlimited number of data exports. 

#5 TexAu: Customizable no-code

TexAu is a growth automation platform that offers flexibility by providing a cloud-based solution and one that can be downloaded to your desktop. 

Core features

• Works with multiple platforms: The platform connects with several third-party apps, like LinkedIn, Quora, and X. It also integrates with niche sites like Product Hunt and Yellow Pages. 

• Integrations: TexAu integrates with major CRMs like HubSpot and Pipedrive. It also connects with email tools like Lemlist and Mailshake, pushing enriched data directly into sales and marketing pipelines. 

Who is it for?

TexAu is designed for diverse users, with features tailored to the unique needs of sales, recruiting, marketing, agencies, and developers.

Pros

• User-friendly, no-code approach: TexAu’s intuitive drag-and-drop workflow builder lets you create multiple automations together without any development experience.‍
• Cloud/Desktop execution: The option to run automations in the cloud or via the desktop app provides flexibility, improved deliverability, and reduced risk of account blocks. 

Cons

• Limited custom scripting: Unlike some competitors, TexAu doesn’t support deploying fully custom scripts, which can restrict specialized use cases. ‍
• Hourly usage: TexAu’s pricing is based on the total hours of automation rather than on processing power or task volume. You may quickly exhaust hours if automations run slowly due to limited server resources.

Pricing

TexAu pricing starts at $79/month, and you can use the platform for up to 30 hours. 

#6 Captain Data: No-code automation for teams

Captain Data is a cloud-based, no-code data automation platform designed to streamline the extraction, enrichment, and integration of business data across multiple platforms. 

Core features

• Security features: Security is built into the platform with dedicated IPs and role-based access. It also provides task scheduling, batch processing, and real-time reporting providing operational transparency.

• Large library of scraping templates: Captain Data provides hundreds of pre-built automations and workflow templates, allowing you to extract and enrich data. 

Who is it for?

Captain Data is designed for teams in medium-sized companies and above. It’s beneficial for sales, recruiting, marketing, and operations teams.

Pros

• Versatility: In addition to LinkedIn, it connects to over 30 platforms, such as Google, Salesforce, ZoomInfo, and others. ‍
• Scalability: Offers plans for multiple seats and can handle an unlimited number of workflows. 

Cons

• Expensive: Pricing is much higher when compared to other LinkedIn scraping platforms. 

Pricing

Captain Data starts at $399/month and includes access to profile, signal, and engagement APIs.

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#7 Octoparse: Visual scraping with no code

Octoparse is a versatile no-code web scraping platform that can be used as a desktop application for Windows or as a cloud-based service for advanced scraping tasks.

Core features

• No-code interface: The platform offers an intuitive drag-and-drop interface. It lets you click elements directly on a webpage, like names or prices, and Octoparse automatically creates an extraction.

• Convenient cloud plan: Octoparse’s Cloud Extraction engine enables you to run multiple tasks simultaneously without needing to keep your device on.

Who is it for?

Octoparse is designed for sales teams, researchers, recruiters, developers, and agencies who need to quickly pull structured data from the web without writing code.

Pros

• Automated scraping: You can extract data when you’re sleeping, and wake up to an organized and parsed sheet of data. ‍
• Suitable for non-technical folks: The no-code drag-and-drop interface requires zero technical skills. 

Cons

• Desktop is limited to Windows: Octoparse’s main application runs only on Windows. This makes it difficult if you’re a Mac or Linux user.

Pricing

For $119/month, Octoparse gives you access to 500 scraping templates and unlimited data exports.   

#8 Zopto: AI-powered outreach sequences

Zopto is a cloud-based LinkedIn automation platform designed to help B2B sales teams scale outreach and generate qualified leads.

Core features

• Automate LinkedIn tasks: Zopto lets you set up campaigns to automatically send connection requests, view profiles, and send personalized follow-ups based on target criteria.

• Analytics and A/B testing: Monitor connection acceptance rates and response rates, and get data broken down by audience segments. The platform also supports A/B testing for messaging variations. 

Who is it for?

Zopto is ideal for sales teams, B2B agencies, recruiters, and SaaS companies that rely heavily on LinkedIn for top-of-the-funnel lead generation.

Pros

• More than a LinkedIn scraper: Zopto provides tools to help you test what’s working and what’s not for your outreach campaigns — in addition to gathering data. ‍
• Human-like timing: When gathering data, the platform mimics human online behavior to avoid getting flagged. 

Cons

• Best suited to Sales Navigator: While it doesn’t require LinkedIn Sales Navigator, Zopto functions best when working with a Sales Navigator account. ‍
• Expensive: Zopto is priced higher than other platforms with similar features. 

Pricing

Pricing starts at $197/month per user, with 5,000 email contacts per month and email verification. 

#9 Apify: Prebuilt scraping API marketplace

Apify is an API hub that lets developers and techies pick APIs from a library and tailor them with JavaScript/Node.js for custom-built extractors. 

Core features

• Unique scripting architecture: Apify’s architecture revolves around “actors,” reusable scripts that perform web scraping or automation tasks. You can write your own in Node.js or use over 1,500 prebuilt actors in the Apify Store.

• API access and integrations: Apify has a robust REST API that enables you to start actors, retrieve results, and manage workflows programmatically. The platform also integrates with tools like Zapier, Google Sheets, Slack, and others.

Who is it for?

Apify suits developers and growth teams who need flexible, scalable web scraping.

Pros

• Developer-first platform with powerful customization: Apify is ideal for developers who want complete control. You can write custom scrapers in JavaScript or extend prebuilt actors from the Apify Store.

Cons

• Steep learning curve for non-techies: Apify’s true potential is unlocked by coding in Node.js, which non-technical users may find intimidating. You’ll also need the ability to customize workflows or debug scripts. 

Pricing

Pricing starts at $39/month, which gets you about 21,000 workflow executions.

#10 Meet Alfred: Multichannel outreach + LinkedIn CRM

Alfred is a cloud-based LinkedIn automation platform that lets users build and run multichannel outreach campaigns across LinkedIn, email, and Twitter.

Core features

• Multichannel campaign automation: Alfred’s signature feature is its ability to create fully automated outreach campaigns across LinkedIn, email, and Twitter. You can sequence messages with delays, define triggers, and customize the outreach at each step.

• CRM and analytics dashboard: Alfred comes with a lightweight but effective built-in CRM that tracks every lead, campaign, and conversation. It shows you open rates, response rates, connection success, and other KPIs to help you gauge performance.

Who is it for?

Alfred is a suitable sales tool for teams that want to scale outreach across LinkedIn, email, and Twitter. It’s built for small and growing businesses that need to automate prospecting. 

Pros

• CRM integrations: Alfred integrates with CRMs like HubSpot, Salesforce, and Pipedrive.

Cons

• Limited support for scraping or list building: Alfred doesn’t include scraping or lead database functionality. You’ll need to use tools like LinkedIn Sales Navigator, Apollo, or Evaboot to source leads before importing them into Alfred.

Pricing

For $59/month, Alfred lets you launch 3 campaigns, export data, and automate actions across LinkedIn. 

Top 10 LinkedIn Scrapers: TL;DR

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What should I do after I've scraped LinkedIn for data?

Scraping LinkedIn data is only the first step. So, before you launch your outreach campaign or conduct a survey, you’ll need to transform that CSV of raw data into a lead list. Here’s how to do so:

1. Clean your CSV: Raw data in your CSV likely contains duplicates, broken formatting, or irrelevant entries. Remove clutter like empty rows, repeated names, and non-business profiles. Standardize column headers for easier filtering later. 

2. Deduplicate leads: Scraped data often contains repeated entries, mainly if gathered across overlapping search filters. Use deduplication tools like fdupes, CloneSpy, or a spreadsheet formula to remove duplicates.

3. Enrich your data: Enriching data simply means adding more details to each contact. Raw LinkedIn profiles often lack email addresses, phone numbers, or updated job details. You can find this data by using a business intelligence platform. Use enrichment tools like Lindy to organize your newly enriched data rapidly. 

4. Validate contact information: Before outreach, verify lead contact data. Use email verification services like NeverBounce to filter out invalid or catch-all addresses.

Did you know you can do more than just clean and organize your LinkedIn data? AI platforms like Lindy can send new info to your CRM, automate email outreach, and execute other tasks.  

After you’ve extracted LinkedIn data: Where Lindy fits in

Lindy isn’t a LinkedIn scraper but can transform scraped LinkedIn data into fully enriched, qualified lead profiles. Its customizable AI agents can then draft and send personalized outreach emails, sync with your CRM, and even schedule meetings. Here are some of the tasks that Lindy’s agents can execute with LinkedIn info:

• Enrich your CRM: Lindy can automatically push cleaned and enriched LinkedIn data into your HubSpot or Salesforce CRM. It maps fields to contact records, cutting manual entry and increasing accuracy.

• Qualify leads: Lindy can qualify leads based on custom rules you define, including job title, company size, seniority, and keywords. It can then automatically notify your team in Slack or update your CRM accordingly. This can help you prioritize high-value prospects and segment outreach more effectively.

• Draft outreach emails: Lindy drafts personalized outreach messages that match your predefined brand voice and target persona. It can also book meetings with leads via Google Calendar integration. These emails can be auto-generated at scale, checked for approval, and scheduled to send at a specific time within your sequence tool.

• Record sales meeting and take notes: Lindy joins your sales calls, records the conversation, and generates a structured summary with action items and next steps. You can also further enrich CRM data from these notes.

Lindy can work directly with LinkedIn data exported to a CSV, Google Sheet, or Airtable base. You can also build agents to work with LinkedIn data sent to HubSpot and Salesforce, as Lindy integrates with these platforms.

Here’s how a workflow combining a LinkedIn scraper with Lindy could function: 

1. Use PhantomBuster to scrape LinkedIn data based on filters like title, industry, or company size. 

2. Clean and format the raw CSV in a lead enrichment and data cleansing tool like Clay, removing duplicates and fixing missing fields.

3. Upload the refined list to Lindy. It can automatically enrich each lead, score them based on your criteria, and draft tailored outreach emails. 

Ultimately, Lindy can automatically complete several tasks in one platform. You won’t have to toggle between applications to clean and enrich data, contact leads, and set up meetings.

Frequently Asked Questions

Can I use LinkedIn scraping tools with Sales Navigator?

Yes, tools like Evaboot, PhantomBuster, and TexAu are specifically built to work with LinkedIn Sales Navigator. These scrapers export leads directly from your Navigator searches, helping you extract cleaned, structured lead data. 

What is the safest LinkedIn scraper?

Tools like Evaboot, Captain Data, and Apify collect publicly available data through browser emulation or web scraping. Although this mimics human browser behavior, it can still breach LinkedIn’s terms of service.

Can I automate outreach after scraping?

Yes, you can. A tool like Lindy allows you to take your qualified leads and generate personalized emails. It also validates contact info, launches campaigns, and ensures compliance with privacy laws.

What’s the best LinkedIn scraper for recruiting?

For recruiting, Evaboot is great for sourcing from Sales Navigator, and PhantomBuster supports profile extraction and candidate engagement. Captain Data is ideal for teams, offering no-code workflows and batch candidate data extraction. Apify also suits tech-savvy recruiters who are building custom workflows. 

Scrape Smart, Sell Smarter with Lindy 

Need an automation platform to work alongside your LinkedIn scraper? Go with Lindy, a platform that allows you to use prebuilt and customizable AI agents. Here’s how Lindy can help: 

• No-code ease: Lindy doesn’t require coding, programming, or technical skills to create your automations — you’ll build everything with premade templates and a drag-and-drop visual workflow builder. 

• Customized AI agents to handle your data: Lindy lets you build versatile AI agents that bolster your productivity — instead of cleaning, organizing, and enriching your data manually, Lindy does it for you. 

• Affordability: Create up to 400 automated tasks monthly with Lindy’s free version. Lindy’s Pro plan lets you automate up to 5,000 monthly tasks and offers a better value than Lindy’s competitors. 

Try Lindy Today For Free.