Top 10 LinkedIn Profile Scrapers for 2026

With over 800 million active users, LinkedIn has the largest pool of corporate and professional data available today. It is a social platform for professional engagement. People share their work experience, skills, and achievements daily. That’s good news for sales and marketing professionals as it’s a good place to find business partners and clients.

However, while this data is available online, it is protected, making it difficult to collect at scale. The other option is to source data from lead databases. But that could set you back by around $2,000 to over $20,000 per month, depending on the source. And many of those databases often only provide stale contacts.

For these reasons, LinkedIn scrapers have become increasingly in demand. The right scraper pulls fresh data quickly and at a fraction of the cost of traditional databases. You can use these tools for lead research, building targeted lead lists, and supporting outreach campaigns, among other use cases.

What is a LinkedIn Profile Scraper?

A LinkedIn profile scraper is a tool that automatically extracts publicly available information from LinkedIn profiles, such as names, job titles, companies, locations, and profile URLs. Businesses can then use this data for different purposes, such as generating leads, researching the market, or analyzing competitors.

Why Scrape LinkedIn Profile Data?

Scrapers are automated tools that can pull hundreds of leads daily, which makes them suitable for large-scale data collection. Scraping is faster than manual research, so you can access the details you need more quickly. So, what should you look for in a good one?

Features of an Effective LinkedIn Profile Scraper

When choosing a LinkedIn scraper, it’s essential to look beyond just data extraction. Here are the important features to consider:

• Automation Beyond Scraping: A good LinkedIn profile scraper also automates other LinkedIn tasks. For instance, some tools can support drip campaigns, manage messaging sequences, and even send connection requests.
• Data Export and CRM Integration: A high-quality scraper can integrate with your CRM and automatically sync the data generated. Some also allow Google Sheets integration via webhooks, which allows you to organize LinkedIn data.
• Protection Against Detection: LinkedIn has some strong bot detection mechanisms. So, high-quality scrapers should be able to avoid detection.
• Completeness of Extracted Data: Good scraper tools should be able to extract complete details and full information, beyond what LinkedIn allows you to export manually.
• Data Collection Methods: Automated LinkedIn profile scrapers can provide steady streams of data, which makes them the ideal choice to scale lead generation.

So, now that we know what features are essential, let’s look at some actual scrapers.

High-Quality LinkedIn Profile Scrapers to Consider

Here is our list of the top scrapers for collecting LinkedIn profile data and more.

1. Skrapp

Skrapp supports lead search and enrichment. It helps you find business contact details, such as email addresses. It also verifies leads and allows expanded search on LinkedIn. It works mainly as a Chrome extension that integrates with LinkedIn and Sales Navigator.

Features

• It can extract up to  2,500 verified business emails per operation.
• Real-time email verification with around a 92% success rate.
• Provides access to a continuously refreshed database of over 150 million prospects.
• Supports lead export as lists via bulk CSV files.
• API integration capabilities for developers to incorporate email extraction.

Who is it for

Skrapp is ideal for sales teams that need verified business emails from LinkedIn profiles. It is also suitable for cold email users and marketers who work with LinkedIn Sales Navigator to extract and export contact data from saved lists.

Pricing

• Free: €0 per month, 100 Email Credits monthly for one user.
• Professional: €30 per month, 1,000 Email Credits monthly for two users.
• Enterprise: €262 per month, 50,000 Email Credits for up to 15 users.

Limitations

Skrapp focuses primarily on finding emails rather than broader CRM tasks. Its email verification can be inconsistent, the interface is not intuitive for everyone, and its data accuracy is lower than that of some other LinkedIn email extractors.

2. PhamtomBuster

PhantomBuster is a versatile cloud-based LinkedIn scraper and automation platform. It supports data extraction from LinkedIn, Sales Navigator, and some social media platforms such as Facebook and Instagram. It offers over 100 pre-built automation tools known as “Phantoms” and “Workflows.” 

Features

• It supports email and professional contact discovery and verification
• It pulls current profile data and up to two past jobs or experiences.
• It syncs with CRM software, including HubSpot.
• It can safely scrape large volumes within LinkedIn’s safe limits when configured correctly.

Who is it for?

It is designed for users who want to automate the collection of LinkedIn profiles without coding. This includes SDRs, growth marketers, and small teams that need quick, lightweight scraping to build lead lists, research prospects, or enrich CRM data.

Pricing

• Trial: 14 days free for two hours execution time, 5 slots for Phantoms, 100 per month URL finder credits.
• Starter: $56 per month for 20 hours execution time, 5 Phantom slots, 1k per month URL finder credits.
• Pro: $128 per month with 80 hours execution time, 15 Phantom slots, 10k per month URL finder credits.
• Team: $352 per month with 300 hours execution time, 50 Phantom slots, 20k per month URL finder credits.

Limitations

Phantombuster offers only a short 14-day free trial, which is not ideal for occasional users. It also has a learning curve that can be challenging for non-technical users. Its paid plans also cost more than many purpose-built LinkedIn profile scrapers.

3. Evaboot

Evaboot is a Chrome extension that exclusively finds email and scrapes data from LinkedIn Sales Navigator. It automates LinkedIn profile scraping and supports email list building. It also supports email verification and lead filtering.

Features

• It supports GDPR-compliant lead generation.
• It supports collaboration by connecting all your Sales Navigator accounts.
• It also allows programmatic data and list export via the Evaboot API.
• It can pull up to 2,500 leads in a single operation.

Who is it for?

It is a good option for sales teams, SDRs, recruiters, and founders who need fast, accurate LinkedIn Sales Navigator exports. Evaboot is useful for users who rely on Sales Navigator daily and want clean, deduplicated lead lists for outreach, prospecting, or CRM updates.

Pricing

• 100 credits per month for $9
• 500 credits per month for $29 
• 1.5k credits per month for $49
• 4k credits per month for $99
• 8k credits per month for $149
• 20k credits per month for $299
• 50k credits per month for $499
• 100k credits per month for $899
• 200k credits per month for $1699
• Custom plan also available on demand.

Limitations

Evaboot only works with Sales Navigator and does not work with free LinkedIn or Recruiter. It also offers limited features beyond data extraction and can become expensive for high-volume users due to its credit system. Also, it does not let users export a specific number of leads since it pulls the entire search result.

4. Nimbleway

While not specifically a LinkedIn scraper, Nimbleway supports web data collection and web scraping and works for LinkedIn, too. It also provides API-based access to structured web data. It offers automated parsing, AI-driven unblocking, and flexible cloud data delivery.

Features

• Uses AI Fingerprinting and stealth browsing to avoid bot detection.
• Supports large-scale batch processing for data extraction.
• It allows users to collect data from multiple websites, including social media and web reviews.
• Offers a data pipeline and a web scraping API.

Who is it for?

It is built for teams that need reliable, large-scale web data collection without dealing with blocks or IP issues. This includes growth teams, lead teams, researchers, and data engineers. It is also suitable for businesses that need data for marketing intelligence and prospecting.

Pricing

• Pay-As-You-Go: $8/GB, $3/CPM
• Beginner: $150 per month, $7.8/GB, $2.8/CPM
• Essential: $600 per month, $7.5/GB, $2.4/CPM
• Advanced: $1,500 per month, 6.9/GB, $1.8/CPM
• Professional: $3,000 per month, $6.1/GB, $1.7/CPM
• Enterprise: Custom pricing with premium features

Limitations

Its pricing is on the high side, and setting it up can be time-consuming. Users find API limitations challenging, while there are also complaints about connection issues and poor customer support.

5. LinkedIn Helper

LinkedIn Helper is a desktop app you download to scrape LinkedIn Profiles. It offers LinkedIn automation and strong security features. It supports multi-source scraping, including LinkedIn,  Sales Navigator search pages, and Recruiter (lite and full). It is available in around 180 countries and offers Instant 24/7 support.

Features

• It offers 31 features to serve multiple LinkedIn automation tasks.
• It allows scraping from Profiles and Sales Navigator and downloads to CSV and 3rd-party services.
• Its email finder can extract emails from second- or third-degree connections.
• It supports CRM integration with tools like Pipedrive and HubSpot.
• The app mimics human-like profile navigation and randomizes timeouts to avoid detection.

Who is it for?

It is designed mainly for sales teams, marketers, and recruiters who want to automate LinkedIn tasks like outreach, messaging, and profile visits. It is also ideal for businesses that want to scale prospects and automate lead generation.

Pricing

• Trial: 14 days free, offers free LinkedIn automation
• Standard: $15 per month, offers LinkedIn automation and data scraping
• Pro: $45 per month, offers everything in standard, plus automated lead gen

Limitations

Linked Helper is not cloud-based, so your computer must stay on during campaigns. It also requires complex proxy setup and customization that non-technical users may struggle with. Also, its customer service is unreliable, which some users find disappointing.

6. La Growth Machine

La Growth Machine is a multi-channel scraping and prospecting automation tool. It allows you to scrape LinkedIn and retrieve relevant information about your prospects. It also customizes your entire prospecting process.

Features

• You can customize prospect search from scratch or use a template.
• It allows users to find, verify and qualify the contacts’ professional email.
• It pulls additional data from Sales Navigator searches to build more targeted and accurate lead lists.
• It also enriches data by combining scraped LinkedIn profile data with data from Twitter and other sources.

Who is it for?

It is built for teams that want to automate LinkedIn prospecting as part of a broader multi-channel outreach strategy. Good for sales teams, growth marketers, and agencies that need a tool combining LinkedIn scraping, enrichment, and automated messaging. 

Pricing

• Basic: 50€ per month per identity
• Pro: 100€ per month per identity
• Ultimate: 150€ per month per identity

All plans offer a start of 14-free trial and 2 months free when you pay.

Limitations

Its prices may not suit small teams. It is heavily dependent on LinkedIn, which makes it prone to rate-limit issues. Its multi-channel workflows can be complex and require ongoing maintenance. There have also been issues about its accuracy.

7. Apify (Mass LinkedIn Profile Scraper)

Apify is a platform that works like a store for various kinds of web scrapers. It offers the Mass LinkedIn Profile Scraper, an enterprise-grade application that extracts information from LinkedIn profiles. It supports bulk processing and returns scraped data as a normalized JSON data format.

Features

• Clear and easy-to-read documentation that non-technical users can understand.
• It supports webhooks, allowing you to scrape LinkedIn profiles using make.com.
• It also supports contact enrichment with email discovery and phone number lookup.

Who is it for?

It is ideal for businesses or users who want access to up-to-date data from LinkedIn and other websites for lead generation, social monitoring, product research, and training AI agents.

Pricing

• Pay per result: $10 as the price per 1,000 results

Limitations

Apify’s LinkedIn scraper depends on cookies from your logged-in LinkedIn account, which limits you to about 50 profiles on a normal account and up to 500 on a premium account. Also, it is not fully no-code since advanced tasks like handling CAPTCHA still require custom JavaScript or Python.

8. Octoparse AI

Octoparse AI is an RPA tool that uses AI to automate LinkedIn profile scraping workflows on your desktop. You use it to build an automation workflow to pull LinkedIn data and process it without writing any code.

Features

• Offers AI-powered smart workflows that can adapt to website changes and manage complex data extraction.
• It is no-code, which allows you to build the automation sequence through drag and drop
• It is a desktop RPA that runs locally and allows database and Excel integration.
• The RPA functionality is free to start, available without upfront costs.
• Allows users to integrate LinkedIn data directly into their existing business processes.

Who is it for?

Its different plans are designed for small, medium, and large teams that need customizable web scraping on LinkedIn and other websites. It is also suitable for those who want to scale data extraction without coding.

Pricing

• Free plan: Free, up to 10 tasks
• Standard plan: From $69 per month. Good for small teams, 100 tasks, 500 scraping templates
• Professional plan: From $249 per month. Good for medium-sized businesses, 250 tasks, Pay-per-Result scraping templates
• Enterprise plan: For large enterprises. Over 750 tasks, Pay-per-Result scraping templates

Limitations

Octoparse is more complex than simple LinkedIn scrapers. Without upgrading to the cloud plan, you need to be running on a desktop. It also has a learning curve for users who only need basic data extraction.

9. Kaspr

Kaspr allows users to scrape LinkedIn data to extract emails, phone numbers, and other relevant contact details. It works as a Chrome extension for seamless data collection. You can also automate prospecting and manage leads using some of its features.

Features

• It integrates with multiple sales tools and CRMs such as Aircall, Zoho, Salesforce, etc.
• Offers a strong focus on GDPR compliance, preventing data privacy issues.

Who is it for?

Kaspr is ideal for sales teams, recruiters, and founders who need fast, accurate contact data to reach decision makers or candidates. It works well for teams that want an easy prospecting tool that pulls LinkedIn data, automates basic outreach steps, and keeps leads organized in one place.

Pricing

• Free Plan: For 15 B2B email credits and 5 direct email credits per month.
• Starter Plan: $49 per month per user, for unlimited B2B email credits
• Business Plan: $79 per month per user for unlimited B2B email credits
• Enterprise Plan: Custom pricing with unlimited credits and advanced features

Limitations

Kaspr’s phone number accuracy can vary. Also, its advanced automation features are more limited compared to other platforms. The credit system can make it expensive for teams with high-volume needs. Also, while it works worldwide, its data strength is more Europe-focused.

10. Waalaxy

Waalaxy is a cloud-based LinkedIn scraper that also supports automation. Users can access it via a Chrome extension. It allows non-technical users to automate their LinkedIn workflows and fetch profile data. 

Features

• It uses AI to find prospects on LinkedIn and write suitable messages.
• It can also automate profile visits and up to 800 LinkedIn invitations monthly.
• It can automatically find pro emails and send all the data to a CRM.
• It offers extensive integration with over 2000 apps, including Make.com and Zapier.

Who is it for?

SDRs, founders, small teams and freelancers who want an easy way to automate LinkedIn outreach. It is also ideal for those who want basic LinkedIn scraping, simple prospecting sequences, and multichannel outreach in a beginner-friendly interface.

Pricing

• Freemium: €0 per user per month, 80 invitations per month
• Pro: €19 per use per month
• Advanced: €49 per user per month, 800 invitations per month
• Business: €69 per use per month, 800 invitations/month and email capabilities
• Elite: Prices available on request 

Limitations

Users need to pay higher price tiers to unlock email outreach features. It does not allow users to build fully custom campaigns. Users must work within its pre-built templates, which restricts flexibility for advanced outbound strategies.

Why You Should Choose LinkedIn Profile Scrapers Over Manual Data Collection

Using automated scrapers enables you to collect LinkedIn data at scale, something you’ll struggle to do manually. Here are other reasons to consider.

Factor	LinkedIn Profile Scrapers	Manual LinkedIn Data Collection
Speed	Can scrape hundreds of profiles in minutes	Can be slow as it requires individual profile checks
Accuracy	Structured data with fewer errors	Can be accurate or inconsistent, depending on who’s doing the task
Data Freshness	Can re-scrape and update data quickly	Data can go stale unless manually rechecked
Scalability	Easily handles large datasets	Hard to scale beyond small batches
Workflow Integration	Many API-based scrapers can export parsed JSON and sync directly to CRMs or outreach tools. Chrome extension scrapers typically export CSV files	Requires manual extraction, cleaning, and uploading
Anonymity & Safety	Many scrapers use rotating IPs to avoid blocks and rate limits	All activity is tied to your personal LinkedIn session
Customization	Third-party APIs and scrapers can be customized for specific data needs	Manual work may offer flexibility, but can be inconsistent
Cost Efficiency	Depends on the tool, but usually cheaper than hiring manual researchers or official APIs	High labor cost and time investment

How LeadsNavi Transforms Scrapped Data for Personalized Campaigns

A LinkedIn Profile Scraper helps you collect data at scale, but scraping is only the first step. Once profiles are extracted, most teams are left with static titles, company names, and fragmented signals that are difficult to turn into meaningful outreach.

The real challenge begins after scraping: how do you transform raw LinkedIn profiles into conversations that feel timely, relevant, and personal?

This is where a platform like LeadsNavi works for you, turning your scraped LinkedIn data into real business results. Here are the ways it does it.

• Enrichment Beyond LinkedIn: LeadsNavi takes your scraped list and automatically enriches each contact with data from internet-wide sources, evaluated for freshness and accuracy. This creates comprehensive recipient profiles and individual persona summaries that give you the right context for vibe marketing.

• Hyper-Personalization at scale: Next, LeadsNavi builds on your now enriched profiles to craft hyper-personalized emails tailored to each contact. Every message feels specific and intentional, aligning with your lead’s background, interests, and context.

• AI-Driven Optimization: LeadsNavi doesn’t stop after delivering one-on-one emails. It deploys A/B tests, tracks performance, and makes real-time adjustments. This ensures your messages align with your recipients’ behaviors and patterns and are sent when they are most likely to engage.

• Vibe Experience: All the steps combine into one seamless, simple flow that is powered by AI-automation. You tell the AI your marketing objectives, and it creates the workflow to make them happen. This is how LeadsNavi can turn a simple list into a complete vibe experience that helps you connect with your prospects and drive business value.

By turning scraped LinkedIn data into enriched profiles and AI-powered workflows, LeadsNavi bridges the gap between a LinkedIn Profile Scraper and real business outcomes. What starts as a simple list evolves into a dynamic, self-improving campaign system that helps marketers stay in flow and connect with prospects more effectively.

Challenges of Scraping LinkedIn at Scale

While much of the professional data on LinkedIn is publicly visible, the platform has multiple security features to protect it. Many tools can access data, but the real challenge is to do so at scale without detection. Here are other challenges.

• LinkedIn’s Anti-Scraping Mechanisms: LinkedIn uses automated detection systems to identify scraping activity. These mechanisms can block IP addresses or accounts if they suspect your activities.
• Ethical and Legal Concerns: Stringent data privacy laws like GDPR and CCPA, as well as user agreements, mean that scraping activities always raise privacy concerns.
• Technical Challenges: Scrapers must overcome dynamic content load, CAPTCHA, cookies, and other technical features, which make it difficult to scrape at scale.
• Constant Platform Updates: Scrapers may struggle to keep data accurate, and LinkedIn’s frequent interface and code changes can break scraping workflows or reduce reliability. These constant changes can affect the accuracy of the scraped data.

Common Mistakes LinkedIn Scrapers Make

While scrapers are effective for collecting data at scale, there are some common mistakes users make with them. Here are a few of them.

• Exceeding LinkedIn’s data limits: This can result in account restrictions or an outright ban. To avoid that, track how many profiles you’re accessing and stay within the safe range. Also, pace requests to prevent sudden spikes.
• Scraping too fast: Going too fast can also trigger LinkedIn’s blockers. Effective scrapers use random delays that mimic human-like interactions, making it difficult for LinkedIn’s detector to catch.
• Using automated login bots: Scrapers use these bots to try to bypass these restrictions, but they can be erratic and lead to account or IP blocking. To manage this, reduce the number of logins and stay informed about LinkedIn’s policies.

Best Practices for Using LinkedIn Scrapers 

Here are some tips to help you get the most from LinkedIn scrapers while you avoid bans and stay compliant.

• Check the platform’s terms and services updates and ensure you remain compliant.
• Rotate the proxy to avoid detection.
• You may also rotate user agents with every request.
• Add deliberate and random delays that mimic how humans browse.
• Focus on high-value targets and avoid trying to scrape the entire database.

FAQs

1. Is LinkedIn Profile Scraping Allowed?

LinkedIn does not allow data scraping without permission. While profile information can be public, LinkedIn limits how users can collect such data. Hence, using manual research or tools that follow compliance guidelines is the safe option.

2. What Is a LinkedIn Profile Scraper?

A LinkedIn profile scraper is a tool to extract data from LinkedIn profiles. This extracted data can then be used to build lists, enrich CRM data, or run marketing and sales campaigns.

3. How Accurate Is the Data Collected by LinkedIn Profile Scrapers?

Data accuracy depends on the scraping tool and whether the profile is recent. Since most tools pull data directly from LinkedIn, it is assumed that the data is accurate. However, you may still need to enrich the data to make it complete.

4. What Can You Do With the Data After Scraping LinkedIn?

Scraped LinkedIn data can be used for lead generation, segmentation, and CRM updates. You can also use it for market research, personalized outreach, and building targeted prospect lists for sales.

5. How Much Data Can You Scrape in a Day?

The volume depends on your LinkedIn account type and the scraper’s safety settings. With most tools, you can extract a few hundred profiles daily while staying within recommended limits.

Final Thoughts

While LinkedIn profile scrapers help you collect data at scale, the data may not be complete or have the right quality needed for personalized campaigns. That is why an AI-driven tool like LeadsNavi makes a difference. It takes your list and updates it with current data from public sources across the web.
This turns your list into complete profiles. Beyond enriching your list, LeadsNavi also helps you create hyper-personalized emails at scale and optimizes email delivery. This enables you to enjoy the benefits of vibe marketing without worrying about the underlying workflow. Talk to us today to learn more.