LinkedIn scraping tools pull publicly visible profile, company and contact data off LinkedIn and hand it back as a file, a spreadsheet row or an API response.
They exist because copying a thousand profiles by hand is not a plan.
30-Second Summary
- Ten tools for teams, five for engineers: ensure you pick the right tool for your use case.
- Email verification is a necessity: so few LinkedIn profiles have up-to-date email addresses, you'll need an email finding and verification process.
- Scraping LinkedIn is not illegal: it breaks LinkedIn's terms, but as the data is public, it is not illegal.
- Pricing is tricky: each platform prices differently. Be mindful of seats, credits, requests and gigabytes.
We've put out heads together and curated a list of the best LinkedIn Scraping Tools on the market today. We've pulled in independent reviews as well as having signed up and tested them ourselves.
The fifteen below split cleanly in two.
Ten are built for sales and recruiting teams. Five are built for engineers who need LinkedIn data inside an application.
Today, we'll look at:
In this guide
- Quick-glance tool comparison
- The 15 best LinkedIn scrapers
- How we ranked these tools
- The three scraper architectures: cloud, browser and desktop
- What you can scrape on LinkedIn, beyond profiles
- Best free LinkedIn scrapers
- How to avoid getting your LinkedIn account blocked
- Key takeaways
- Frequently asked questions
Quick-glance tool comparison
| Tool | Type | Best for | Price starts at |
|---|---|---|---|
| Evaboot | Cloud | Sales Navigator users who want clean, export-ready lead lists fast | From $29/month for 400 credits (emails included) |
| Phantombuster | Cloud | Multi-platform social media scraping | $69/month |
| Skrapp | Cloud | Email marketing and outreach campaigns | From $49/month (1,000 emails) |
| TexAu | Desktop + Cloud | Teams who need broad LinkedIn automation with flexible integrations | From $29/month |
| Captain Data | Cloud | Sales Ops teams with larger budgets who need flexible data workflows | $399/month (Growth); $2,500/month (Enterprise) |
| Derrick App | Cloud | Teams that live in Google Sheets | Free up to 200 / from €9/month |
| Linked Helper | Desktop | Budget-conscious wanting human-simulated LinkedIn automation | $15–$45/month (14-day free trial) |
| Dux-Soup | Cloud | Automated LinkedIn prospecting sequences on a budget | From $14.99/month |
| BrightData | Cloud | Large-scale web & LinkedIn data collection | Pay as you go: $20/GB |
| Waalaxy | Cloud | Teams wanting multichannel cold outreach | $112/month (LinkedIn); $160/month (LinkedIn + Email) |
| Apify | API | Developers who want a ready-made LinkedIn actor instead of building one | Usage-based, free tier available |
| Octoparse | Desktop + Cloud | Non-developers who want a visual scraper rather than code | Free plan, paid tiers by task volume |
| ZenRows | API | Engineers who already have a scraper and keep getting blocked | Free trial, paid from $16/month |
| Scrapingdog | API | Teams who want LinkedIn data as a clean API response | Free credits, then per-credit pricing |
| ScrapIn | API | Real-time profile lookups inside a product or workflow | Entry tier around $30/month |
The 15 best LinkedIn scrapers
Here are the best LinkedIn scrapers to extract the data you need:
Evaboot
Evaboot turns Sales Navigator searches into clean, ready-for-outreach lead lists in one click, with built-in email finding, verification, and false-positive detection baked right in.
Evaboot is a LinkedIn Sales Navigator scraping tool that allows you to export leads and get emails from Sales Navigator. That way, you get a ready-for-outreach Excel file in just one click.
"Evaboot has been a gamechanger for us"
Evaboot has been one of those tools we could not imagine not having now. Being able to quickly and easily extract lists of not only profile URLs but also associated metadata is vital for our outreach campaign message generation. As long as they keep the pricing fair we will continue to use it.
"Handy tool for LinkedIn"
The overall experience is very satisfactory as it saves a lot of time and helps in reducing redundancy. The tool also does the job of checking the validation of the profile, reducing the manual labor required post-scraping.
Features
- Lead Export: export leads directly from LinkedIn Sales Navigator searches
- Email Finder: find verified professional emails for every exported lead
- Company Profile Export: pull full company data alongside individual profiles
- LinkedIn Profile URL Export: capture direct profile links for every lead
- Data Cleaning: automatically removes emojis, fixes capitalisation, and corrects typos
- False Positive Detection: flags leads that match your filters but fall outside your actual ICP
- Email Verifier: validates email addresses to protect sender reputation
Pros
- Easy to use : minimal setup, one-click exports
- Export up to 2,500 leads per day
- Built-in email finder and verifier in one tool
- Identifies LinkedIn Open Profiles for free outreach
- Automatically cleans and normalises exported data
Cons
- Requires an active LinkedIn Sales Navigator subscription to function
Phantombuster
A powerful generalist scraping platform that covers LinkedIn and beyond, but the steep learning curve and risk of getting flagged make it better suited for technical users.
Phantombuster is a generalist scraping platform covering many LinkedIn use cases.
They also extract data from social media like Instagram, Facebook, or TikTok.
Pricing Tiers
- $69/month for 5 phantoms
- $159/month for 15 phantoms
- $439/month for 50 phantoms
"Lead generation made simpler"
The best part that I like about PhantomBuster is the lead generation part. It's straightforward to export sales navigator leads to Excel sheets. One can even customize the Excel sheet as per need.
"Great data scraping tool"
Pros: Phantombuster has become one of my primary data extraction tools. Buying contact lists is an expensive and uncertain route to go. Building your own is more time consuming but you know who is ending up on your list. Once I started using it I also found value in social media scraping and even yellow pages look-ups.
Cons: No real cons except that you do need to be particularly careful when extracting data from LinkedIn. Take their warnings and limits seriously. You can push the limits if you wish but I recommend playing within the lines.
Features
- Export LinkedIn searches: pull lead lists directly from LinkedIn and Sales Navigator
- Scrape LinkedIn profiles: extract detailed profile data at scale
- Send connection requests: automate outreach directly from the platform
- Send messages: run automated LinkedIn messaging sequences
- Enrich LinkedIn profiles: append additional data points to your leads
- Multi-platform support: connect to Instagram, Facebook, TikTok, and more
- JSON data output: export scraped data in JSON format for flexible integrations
Pros
- Wide range of automation workflows available
- Connects to multiple social platforms beyond LinkedIn
- Integrated email finder built in
Cons
- Hard to use : steep learning curve for non-technical users
- Risk of getting flagged or banned by LinkedIn
- Pricing is unclear and scales up quickly with phantom count
Skrapp
A fast, affordable B2B email finder that pulls verified professional emails from LinkedIn and websites, though its Sales Navigator integration risks getting your LinkedIn account blocked.
Skrapp is a scraper, B2B email finder, and outreach tool designed to help professionals with email marketing and outreach campaigns. It uses public data to find verified professional email addresses, reducing the time spent on email research.
"One of the best email finder", Skrapp.io finds emails quickly with accurate results, a simple UI, company detail lookup, and REST APIs for easy integration with other applications.
"A tool with bang for your buck", Easy to use, fast, and delivers good data for the price.
Features
- Website Email Finder: Extract verified professional emails from any website
- LinkedIn Email Finder: Find emails directly from LinkedIn profiles
- LinkedIn Scraping: Scrape prospect data at scale from LinkedIn
- Email Verification: Validate emails to reduce bounce rates
- Company Details Lookup: Retrieve company information alongside contact data
- REST API: Integrate email finding capabilities into your own applications
Pros
- Fast email discovery with accurate results
- Simple, easy-to-navigate UI
- Competitive pricing for the volume of emails delivered
- REST API enables seamless integration with third-party apps
- Pulls company details alongside prospect emails
Cons
- LinkedIn Sales Navigator API integration is not sanctioned by LinkedIn and can result in your LinkedIn account being blocked
- No built-in CRM or advanced outreach sequencing
TexAu
TexAu is a powerful generalist scraping and automation platform that excels at LinkedIn data extraction and workflow building, though its complexity makes it a tool better suited to experienced users.
TexAu lets you connect automation, build powerful workflows, grab data, or generate leads in minutes.
Like Phantombuster, TexAu is a generalist scraping platform, but it offers many LinkedIn automation and scraping features across both LinkedIn and Sales Navigator.
"Powerful automation to boost your business growth", TexAu is a powerful automation tool for marketers, salespeople, and everyone in between, letting you extract, process, and filter data with just a few clicks.
"Marketing Automation On Steroids ⚡️", User friendly, completes boring tasks in seconds. The desktop version is a killer feature as it does not require a proxy.
Features
- Export searches and lists: scrape LinkedIn search results and saved lists in bulk
- Export group members: pull contact data from LinkedIn groups
- Export event attendees: capture attendee details from LinkedIn events
- Export post commenters and likers: identify and export engaged users from any post
Pros
- Large library of automation workflows available out of the box
- Integrates with many email finder tools for enriched lead data
- Usable on both desktop and cloud for flexible deployment
- Supports custom proxies for safer, more scalable scraping
Cons
- Time-consuming and complex to set up initially
- Steep learning curve : not beginner or no-code friendly
- Pricing is metered by usage hours, which can make costs unpredictable
Captain Data
A powerful no-code automation platform with broad LinkedIn scraping capabilities, but its premium pricing puts it firmly in Sales Ops territory rather than solo prospectors.
Captain Data is a no-code platform that extracts, aggregates, and integrates data, allowing sales and ops teams to create automated workflows and save time.
They are a generalist automation platform that offers a lot of different scrapers, including several built specifically for LinkedIn.
Captain Data is expensive compared to other tools on the market, it's built for the Sales Ops team with a real budget.
"Super flexible product, super reactive team!", Reviewers praise Captain Data's responsiveness, wide feature set across sources like Google Maps and Sales Navigator, and the team's willingness to act on customer feedback.
"Amazing for Marketing Campaigns", Users highlight how the simplified extraction accelerates digitalization, though some note account-level power limitations.
Features
- Export LinkedIn lead lists: pull targeted prospect lists directly from LinkedIn
- Export group members: scrape members from any LinkedIn group
- Export event attendees: capture attendee data from LinkedIn events
- Export post commenters and likers: identify engaged users from any post
- Connect different scrapers: chain multiple data sources into a single workflow
- Connect to email finder: enrich scraped profiles with verified email addresses
- Connect to your CRM: push data directly into your CRM without manual exports
Pros
- No-code interface makes complex workflows accessible to non-technical teams
- Works across LinkedIn, Sales Navigator, and Recruiter
- Highly flexible : connects scrapers, email finders, and CRMs in one platform
- Responsive support team that acts on customer feedback quickly
- Covers multiple data sources beyond LinkedIn (e.g. Google Maps)
Cons
- Significantly more expensive than most LinkedIn scrapers on the market
- Entry plan starts at $399/month, making it inaccessible for small teams or solo users
- Individual account power can feel limited relative to the price point
Derrick App
A Google Sheets-native LinkedIn extractor that lets you run Sales Navigator exports and email finding without ever leaving your spreadsheet.
Derrick App is a LinkedIn extractor built directly into Google Sheets, letting you manage all your LinkedIn data enrichment operations without switching tools.
With Derrick App you can:
- Export LinkedIn Sales Navigator searches into Google Sheets
- Find LinkedIn profile URLs from Full Names + Company Names
- Export LinkedIn profile data from profile URLs
This is especially useful if you want to simplify your lead enrichment process. Note that you need a LinkedIn Sales Navigator subscription to use the Google Sheets login.
Pricing Tiers
- 200 data enrichments/month: €0
- 200 data enrichments + 800 emails/month: €9
- 4,000 data enrichments/month: €9
- 4,000 data enrichments + 800 emails/month: €15
Features
- Sales Navigator export: pull searches and lists directly into Google Sheets
- Profile finder: locate LinkedIn profiles using full name + company name
- URL-based export: extract profile data from specific LinkedIn URLs
- Email finder: surface work emails for enriched contacts
- Email verification: validate email addresses before outreach
Pros
- Fast onboarding : users report learning the tool very quickly
- Google Sheets-native workflow keeps everything in one place
- Generous free tier with 200 enrichments per month
- Affordable paid plans starting at €9/month
Cons
- Requires a LinkedIn Sales Navigator subscription, adding to overall cost
- No native CRM integration (e.g. HubSpot), data must be exported manually
Linked Helper
One of the oldest LinkedIn automation tools on the market, Linked Helper combines desktop-based safety with a wide action set at a remarkably low price point.
Linked Helper is one of the oldest LinkedIn automation tools on the market. Their main goal is to offer automation, but you can also scrape data from LinkedIn using it.
"Complete and complex", A very complete application that helps automate and manage commercial tasks and/or recruitment through LinkedIn, useful for certain tasks or roles.
"Great and cheap app for automating your LinkedIn Sales Strategy", The versatility of Linked Helper is great; users note it would benefit from A/B testing and native email sending.
Features
- LinkedIn Scraping: extract profile and company data directly from LinkedIn
- Connection Requests: automate personalised invite campaigns at scale
- LinkedIn Messaging: send automated direct messages to 1st-degree connections
- InMail Sending: reach out beyond your network via InMail
- Extended Actions: event invitations, skill endorsements, and more
- Proxy Support: connect external proxies for added account protection
- Multi-Account Management: handle multiple LinkedIn accounts from one app
- Zapier Integration: connect workflows to hundreds of third-party tools
Pros
- Considered one of the safest tools on the market due to desktop-based operation
- Simulates mouse clicks like a real human, reducing detection risk
- Large variety of automation actions beyond basic outreach
- Proxy support for extra account safety
- Very affordable at $15/month entry price
Cons
- Stops running when your PC is turned off, no cloud-based background execution
- Does not support emojis in messages
- UX is notably complex and has a steep learning curve
- No native A/B testing or email sending capability
Dux-Soup
Dux-Soup is a budget-friendly LinkedIn automation tool that handles prospecting sequences and data extraction, though its desktop version requires the browser to stay open.
Dux-Soup has been on the market for a long time. It's a LinkedIn automation tool built to create automated LinkedIn prospecting sequences, while also offering the ability to extract data from various places on LinkedIn.
Pricing Tiers
- $14.99/month for basic LinkedIn automation
- $55.00/month for all features
- $99/month for Cloud automation
"Automated LinkedIn network building & brand awareness, if a little clunky"
The ease of importing lists, especially combined with Sales Nav, for steady growth of connections. Even if you change the content of a Funnel, the queued activity isn't edited.
"I highly recommend Dux Soup"
Pros: The automation of drip campaigns and follow-ups has helped my business tremendously and saves a lot of time.
Cons: Having to keep the browser up and running is the one downside.
Features
- Export LinkedIn searches: pull search results directly into your workflow
- Profile visits: automatically visit prospects' profiles at scale
- Connection requests: send automated connection requests to targeted leads
- LinkedIn messages: send personalised outreach messages automatically
- Follow-ups: automate multi-step follow-up sequences
Pros
- Affordable pricing starting at $14.99/month
- Offers an API for custom integrations
- Good customer support
- Option to book setup sessions with experts
Cons
- Desktop version requires the browser to stay open to run
- No built-in safety system to help protect your LinkedIn account
BrightData
A heavy-duty web data platform with best-in-class proxy networks and ready-to-use datasets, ideal for large-scale LinkedIn and web scraping projects.
BrightData, rebranded from Luminati Networks in 2021, is a web data platform that provides businesses with structured data via proxy networks, web scrapers, and ready-to-use datasets. It offers award-winning proxy networks, powerful web scrapers, and ready-to-use datasets for download. Bright Data's products include datasets, scraping solutions, and proxy networks. The platform serves various use cases such as eCommerce, social media, SERP & SEO, Ad Tech, and market research.
"Extremely useful tool for economic research"
I use Bright Data to collect data on employment in Israeli high-tech. The database covers a large portion of the employees in the industry, is frequently updated, and is straightforward to access. The support team is very responsive and extremely helpful.
"Easy to use Proxy Zones for Google and Website Scraping"
Pros: I like the proxy manager the most. I am using this in setting up ports for our google scraping solution.
Cons: I can't think of anything. We have had issues with DataCenter before due to incorrect geo-targetting but it was resolved pretty fast.
Features
- LinkedIn Scraping: extract structured data directly from LinkedIn profiles and pages
- Web Scraping: broad website data collection at scale
- Google SERP Data Collection: gather search engine results page data for SEO and Ad Tech use cases
- Custom Proxies: configure proxy networks tailored to your geo-targeting and scraping needs
- Personalized Scraper: customize scraping workflows to match specific data requirements
- Auto-completion of Captcha Securities: automatically bypass captcha challenges during scraping
Pros
- Award-winning proxy network with broad geo-targeting capabilities
- Ready-to-use datasets available for instant download
- Supports a wide range of use cases including eCommerce, social media, SERP, Ad Tech, and market research
- Responsive and highly rated customer support team
- Pay-as-you-go pricing keeps entry costs flexible
Cons
- Pay-as-you-go model can become expensive at high data volumes
- Geo-targeting issues with DataCenter proxies have been reported, though typically resolved quickly
Waalaxy
A French multichannel outreach tool that pairs LinkedIn automation with email sequences, solid for beginners, but template-locked sequences and LinkedIn flagging risk hold it back.
Waalaxy (formerly known as ProspectIn) is a French multichannel outreach tool. It started as a LinkedIn messaging automation tool and then added LinkedIn cold emailing to its sequences.
Pricing Tiers
- $112/month for LinkedIn automation
- $160/month for LinkedIn + Email automation
"A Game-Changer in B2B Lead Generation"
Waalaxy seamlessly integrates with LinkedIn, making it a powerful extension of your LinkedIn profile. This integration allows you to access your LinkedIn contacts, view profiles, and send connection requests and messages directly through the platform, eliminating the need to switch between multiple tools.
"Good option if you are starting with cold outreach campaigns"
Pros: Very easy to implement and start prospecting. Includes proxy management, so it can work even when the computer is off.
Cons: Needs to improve the user interface and add more functionalities to use cold email independently of LinkedIn campaigns, plus better reporting features.
Features
- LinkedIn Scraping: extract prospect data directly from LinkedIn
- Connection Requests: automate sending LinkedIn connection requests
- LinkedIn Messaging: send automated messages to LinkedIn connections
- Email Outreach: send cold emails as part of multichannel sequences
- Integrated Email Finder: find prospect email addresses without leaving the platform
- Shared Inbox: manage LinkedIn conversations across a team
- Multiple Account Management: handle several LinkedIn accounts from one dashboard
- CRM Sync: push prospect data to your CRM automatically
- Recruiter & Sales Navigator Integration: works with LinkedIn's premium tiers
Pros
- Generous free trial to test the platform before committing
- Inbox management system keeps LinkedIn conversations organised
- Integrated email finder removes the need for a separate enrichment tool
- CRM sync keeps your pipeline data up to date automatically
- Bypasses LinkedIn connection request limitations via cloud-based proxy management
Cons
- No custom sequences : users are restricted to pre-built templates
- Risk of getting flagged or restricted by LinkedIn
- Cold email features are not fully independent of LinkedIn campaigns
- Reporting capabilities need improvement
Apify
A marketplace of pre-built scrapers, called actors, that run on Apify's cloud. You get a LinkedIn scraper without writing one, and an API to call it from your own stack.
Apify is a cloud platform for running web scrapers. Instead of shipping a single LinkedIn tool, it hosts a marketplace of pre-built actors, several of which target LinkedIn profiles, companies and job listings. You pick an actor, set its input, and call it over the API or on a schedule.
For a sales team this is more setup than a one-click extension. For an engineering team it is usually less work than maintaining a scraper in-house, because proxy rotation, retries and browser fingerprinting are Apify's problem rather than yours.
Features
- Actor marketplace: pre-built LinkedIn scrapers you can run without writing code
- REST API and SDK: trigger runs and pull results from your own application
- Scheduling: run a scrape on a cron and store each dataset
- Proxy rotation: residential and datacentre proxies handled by the platform
- Dataset storage: results kept as JSON, CSV or Excel for later retrieval
Pros
- No scraper to build or maintain yourself
- Genuine API access, so results land in your own system rather than a download folder
- Free tier is enough to evaluate an actor properly
- Actors exist for profiles, companies and jobs, not just profiles
Cons
- Usage-based pricing is hard to forecast before you know your volume
- Actor quality varies, because many are built by third parties rather than Apify
- Aimed at developers, so a non-technical user will find it slow going
Octoparse
A point-and-click scraper builder. You click the fields you want on a rendered page and it writes the extraction rules for you, which puts custom scraping within reach of a non-engineer.
Octoparse sits between a browser extension and a developer tool. You load a page in its built-in browser, click the elements you want, and it builds the extraction rules from your clicks. There is no code, but there is more control than a fixed-purpose LinkedIn extension gives you.
Both of the pages currently ranking above this one list Octoparse, and the page in first place puts it second. It is the most widely recommended visual scraper for LinkedIn work.
Features
- Point-and-click builder: select fields visually and the rules are written for you
- Cloud execution: run scrapes on Octoparse's servers instead of your own machine
- Scheduled runs: repeat a scrape hourly, daily or weekly
- IP rotation: built into the cloud plans
- Export formats: CSV, Excel, JSON, or straight to a database
Pros
- The shortest path to a custom scraper if you do not write code
- Handles pagination and infinite scroll, which trip up simpler tools
- Free plan is usable rather than a teaser
Cons
- Generic rather than LinkedIn-aware, so you build the LinkedIn logic yourself
- No email finding or verification, so exports need a second tool
- The visual builder still has a learning curve of a few hours
ZenRows
Not a LinkedIn scraper, an anti-bot bypass. You send it a URL, it returns the rendered HTML with proxies, headless browsing and captcha solving already handled.
ZenRows solves a narrower problem than the other tools here, and solves it well. If you have written your own scraper and it works until LinkedIn starts serving challenges, ZenRows is the layer you put in front of it. You send a URL, you get back HTML.
It does no LinkedIn parsing at all. That is the point: you keep your own extraction logic and hand off the part that keeps breaking.
Features
- Rotating residential proxies: a different exit IP per request
- Headless browser rendering: JavaScript-rendered pages come back fully built
- Anti-bot bypass: handles the challenge pages that stop a plain HTTP client
- Single API call: one endpoint, no infrastructure to run
- Geo-targeting: request a page as it appears from a given country
Pros
- Fixes the exact failure that kills most home-built LinkedIn scrapers
- Nothing to host, and no browser fleet to keep alive
- Priced per request, so the cost tracks the work
Cons
- Returns raw HTML, so you still write and maintain the parsing
- Useless on its own to anyone who is not an engineer
- No email finding, no verification, no CSV
Scrapingdog
A dedicated LinkedIn profile and company API. You pass a profile URL and get structured JSON back, with the proxy and rendering layer hidden behind the call.
Scrapingdog offers a LinkedIn-specific endpoint rather than a general scraper. Send a profile or company URL, receive parsed JSON: headline, experience, education, location, company details. There is no browser to drive and no HTML to parse.
It is worth noting that Scrapingdog's own comparison article ranks second for this search. They are a competitor in the results as well as a tool on this list.
Features
- LinkedIn profile API: structured JSON from a profile URL
- Company endpoint: company pages returned in the same shape
- Job listings: scrape LinkedIn job posts through the same key
- Proxy layer included: rotation and retries handled inside the call
- Credit-based billing: pay per successful request
Pros
- Structured output, so no parsing code to write or repair
- One integration covers profiles, companies and jobs
- Free credits are enough to test the response shape properly
Cons
- Per-record cost adds up quickly on a large list
- You supply the profile URLs, so it does not replace a search export
- No interface, so this is an engineering decision rather than a sales one
ScrapIn
A real-time LinkedIn data API. Rather than serving a cached database, it fetches the profile when you ask, which matters when the data feeds a live product.
ScrapIn's distinction is freshness. Many LinkedIn data providers serve from a cache that may be months old. ScrapIn fetches on request, so a job change that happened last week shows up.
That makes it a fit for enrichment inside a live workflow: a CRM record opening, a lead routing rule firing, a form submission being scored. It is a poor fit for exporting a list of ten thousand leads, where cost per record dominates.
Features
- Real-time lookup: the profile is fetched when you call, not read from a cache
- Profile and company endpoints: both returned as structured JSON
- Email finding: work emails returned alongside the profile data
- Search by URL or by identifier: resolve a person from more than one input
Pros
- The freshest data of any API on this list, by design
- Email finding included, so it does not always need a second tool
- Built for per-record enrichment, which is the common product use case
Cons
- Real-time fetching costs more per record than a cached database
- Wrong shape for bulk export work
- Smaller company than Bright Data or Apify, so fewer integrations exist
How we ranked these tools
Most lists of this kind are ordered by who pays the most. Here is the rule this one uses, so you can discount it where you disagree.
- It has to actually scrape. Email finders and outreach sequencers are useful, and they are not scrapers. Sixteen tools came off this list in September 2026 for that reason.
- Somebody else has to rate it too. Every tool here is recommended by at least one of the other pages ranking for this search, or is a dedicated data API that they collectively ignore.
- Price is the published entry tier. Taken from the vendor's own pricing page, not from a press release.
- Ranking follows fit, not features. A tool that does one job cleanly beats one that does six jobs badly.
That rule is why some well-known names are missing, and why five you may not have heard of are here.
The three scraper architectures: cloud, browser and desktop
Every tool on this list runs in one of three places. Where it runs decides whether it keeps working with your laptop closed, and which IP address LinkedIn sees.
- Cloud-based LinkedIn scraping
- Browser-based LinkedIn scraping
- Desktop-based LinkedIn scraping
1. Cloud-based LinkedIn scraping
A cloud tool runs on the vendor's servers, using your LinkedIn session cookies. Nothing is installed on your device.
It keeps running when your computer is off, and most cloud tools handle proxies for you. The trade-off is that LinkedIn sees the vendor's IP, not yours.
2. Browser-based LinkedIn scraping
A browser tool is a Chrome extension that clicks through LinkedIn inside your own logged-in session.
It is usually the cheapest option and the quickest to set up. It stops when you close the tab, and some companies do not let staff install extensions.
3. Desktop-based LinkedIn scraping
A desktop tool is an app installed on your computer, working from your own IP address.
It can manage several accounts at once. It stops when your computer sleeps, and it uses a lot of memory, so you may need to reduce your Mac memory usage.
What you can scrape on LinkedIn, beyond profiles
Most people think of a scraper as something that reads profiles. LinkedIn holds several other lists that are easier to extract and usually better targeted.
Post likers and commenters
Anyone who engaged with a post on your topic has told you they care about it. This is the highest-intent list on LinkedIn and it costs nothing to build. Phantombuster and Captain Data both extract it.
Event attendees
People who registered for an event in your category are pre-qualified by subject and by timing. Export the attendee list rather than guessing who might be interested.
Company page followers
Followers of a competitor's page are a ready-made list of people already shopping in your category. Waalaxy and Phantombuster both handle this.
Group members
Lower intent than the three above, but far larger, and still filtered by topic. Worth it when you need volume rather than precision.
Ready to run your first export? Our step-by-step guide covers the whole sequence, from building the list to verifying the emails.
Best free LinkedIn scrapers
If you're on a budget, several scrapers offer free tiers that let you test the waters before committing to a paid plan. Here's a quick shortlist:
- Evaboot: No free tier, but starts at $29/month for 400 credits, emails included, cheapest way to get clean Sales Navigator exports with emails.
- Phantombuster: 10 free leads to start; then $69/month. Good for testing event or group scraping.
- Octoparse: a free plan on a real visual scraper, not a teaser. Best free option if you want to build your own extraction rules.
- Apify: free tier on the actor marketplace. Enough to run a LinkedIn actor and judge the output before paying.
- Scrapingdog: free credits on the LinkedIn API. Enough to check the JSON shape against what your app needs.
- Linked Helper: a 14-day free trial of the full desktop app, then $15/month. The cheapest paid entry on this list.
- Derrick App (Google Sheets): 200 data enrichments/month at €0. Best free option if you live in Google Sheets.
Free tiers are fine for a proof of concept. On a real campaign, expect to hit the daily or monthly cap in the first week.
How to avoid getting your LinkedIn account blocked
LinkedIn restricts accounts for too much activity in a short window, and for tools it can fingerprint. Five rules cover most of the risk.
- Stay within LinkedIn's limits. About 80 profiles a day on a free account, 150 on Premium, 1,000 on Sales Navigator, and up to 2,500 exports a day with Sales Navigator and Evaboot. A tool that promises "unlimited" is burning accounts.
- Run one tool per account. Phantombuster, Dux-Soup and Waalaxy on the same account at the same time is a fast route to a restriction.
- Warm up a new account. Use a fresh profile by hand for 2 to 3 weeks before you connect a scraper.
- Avoid data-center IPs. If a tool rotates IP addresses, it should use residential or mobile proxies, which LinkedIn cannot spot as easily.
- Stop when LinkedIn warns you. After a "suspicious activity" email, pause all automation for 48 hours.
Want to see more Evaboot tutorials on your Google results?
Key takeaways
Frequently asked questions
What is a LinkedIn scraper?
A LinkedIn scraper is software that reads data off LinkedIn pages and returns it as a file or an API response. Instead of copying a name, title and company by hand, it works through a list of profiles and returns the same fields as rows. Tools differ in where they run, what they can reach and what they hand you at the end.
Is scraping LinkedIn legal?
In the US, scraping public LinkedIn data is not a crime, but it does break LinkedIn's User Agreement. In hiQ Labs v. LinkedIn, the Ninth Circuit held in 2022 that scraping public profiles likely does not violate the Computer Fraud and Abuse Act. Later that year a district court found hiQ had breached LinkedIn's terms, and the case settled. In the EU, GDPR also applies to the personal data you collect. In practice, the risk is to the account you scrape from, which is why staying within LinkedIn's daily limits matters.
Do I need a profile scraper or a company scraper?
A profile scraper works from a list of people and returns names, titles and work history, which suits outbound to individuals. A company scraper works from a list of organisations and returns headcount, industry and often the employee list, which suits account-based work. Evaboot, Skrapp, Linked Helper and Dux-Soup are profile-first. Captain Data, Bright Data, Scrapingdog and Apify handle company data well.
What is the best LinkedIn scraping tool?
There is no single best tool, because the answer changes with what you do with the data. For Sales Navigator exports with verified emails, Evaboot. For multi-platform automation, Phantombuster. For workflow orchestration across a team, Captain Data. For a visual scraper you build yourself, Octoparse. For LinkedIn data as JSON inside your own product, Scrapingdog or ScrapIn. All 15, with prices and what each is best at, are in the comparison table above.
When should I use a LinkedIn scraper API?
Use an API when the data feeds software, not a person: a CRM field, a lead score or an enrichment step inside your product. Scrapingdog, ScrapIn, Bright Data and Apify all return JSON. The trade-off is that you supply the profile URLs, write the error handling and pay per record. None of them is LinkedIn's official API, which does not return third-party profile data.
Can I scrape LinkedIn with Python?
Yes. Libraries like Beautiful Soup and Selenium can scrape LinkedIn, but you need a developer to build and maintain the script. Expect 5 to 10 hours to set one up, and 2 to 3 hours a month to fix it when LinkedIn changes its pages. If nobody on your team codes, one of the no-code tools above costs less.
Can a LinkedIn scraper push leads to my CRM?
Yes. Most scrapers push leads straight to HubSpot, Pipedrive or Salesforce. If yours has no native integration, export the CSV and use your CRM's import feature. From there, a no-code tool like n8n or Clay can score each lead before it reaches your sales team.
Why is LinkedIn so hard to scrape?
LinkedIn is harder to scrape than most sites because:
- Dynamic content loading: Profile data loads via JavaScript, so simple HTML parsers (like curl or basic Beautiful Soup scripts) see an empty page.
- Anti-bot fingerprinting: LinkedIn tracks mouse movements, scroll patterns, browser fingerprints, and IP reputation to detect automation.
- Session limits: LinkedIn caps how many profiles, searches, or messages you can perform per day per account, making large-scale scraping slow.
- Legal and ToS enforcement: LinkedIn aggressively pursues legal action against high-profile scrapers (e.g., hiQ Labs case) and bans accounts that violate rate limits.
Most consumer-grade scrapers fail because they don't handle JavaScript rendering, rotate IPs properly, or throttle requests. Professional tools (Evaboot, Phantombuster, Bright Data) invest in infrastructure to bypass these defenses safely.
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