30 (+1) Top LinkedIn Scrapers for 2025 with Pros & Cons

If you think LinkedIn scraping is tough, it's because you are not equipped with the right tool. LinkedIn has their own paid API, but it's not as simple as paying and getting what you need. You have to apply for access, go through an unreasonably long approval process, and even then chances are you might get rejected. If you do manage to secure API access by a miracle, the data you get is limited.

Fortunately, there are plenty of B2B data providers and LinkedIn scrapers available. But with so many options, it's easy to feel overwhelmed. I mean, where do you even start looking?

I understand the conundrum. What you need is a thoughtfully curated list of LinkedIn scrapers, categorized to tailor your specific needs, so you can easily pick the right tool for you.

Welcome to the only guide on LinkedIn Scrapers you will ever need. In this article, I will go through:

• 30+1 of the best LikedIn Scraping Tools in 2025; categorized based on their nature.

• Pros and Cons of each scraper.

• How do I find the best LinkedIn Scraper?

• Is LinkedIn Scraping Legal?

• My Recommendation (with explanation)

• Final thoughts

Let's start with an overview of all the tools we will be discussing.

Full Scale/Enterprise LinkedIn Scrapers

These scrapers are designed to serve large corporations that require high-scale data extraction. Most of them are focused on detailed analytics, integrations with CRMs, lead generations and much more; everything to be a complete data solution for organizations.

1. Proxycurl

The biggest reason you'd want to use Proxycurl is because it's an incredibly versatile API that's designed to be built into your existing systems and workflow. You won't need any VPNs, proxies, a rotating index of LinkedIn accounts, or anything else. Proxycurl gives you access to rich B2B data from more data sources than just LinkedIn.

It is a developer-friendly platform, but the vast number of API endpoints are easy to use and incorporate. Plus, you have detailed documentation on each API as a reference. I mean, what is a few pages of documentation to get access to all the B2B data you could ever possibly need on people and companies?

With a data freshness guarantee, you can be rest assured, you get the freshest data available. Better yet, you can use the use_cache=if-recent parameter that's available on our profile scraping-related endpoints, such as our Person Profile Endpoint or our Company Profile Endpoint.

Let me show you how easy it is to pull a freshly scraped and accurate personal profile from LinkedIn using a simple Python script and our Person Profile Endpoint:

import requests
import json
api_key = 'Your_API_Key_Here'
headers = {'Authorization': 'Bearer ' + api_key}
api_endpoint = 'https://nubela.co/proxycurl/api/v2/linkedin'
params = {
 'linkedin_profile_url': 'https://www.linkedin.com/in/vickygill/',
 'extra': 'include',
 'github_profile_id': 'include',
 'facebook_profile_id': 'include',
 'twitter_profile_id': 'include',
 'personal_contact_number': 'include',
 'personal_email': 'include',
 'inferred_salary': 'include',
 'skills': 'include',
 'use_cache': 'if-recent',
 'fallback_to_cache': 'on-error',
}
response = requests.get(api_endpoint,
params=params,
headers=headers)

# Check if the request was successful
if response.status_code == 200:

 # Parse and print the content of the response in a formatted manner
    data = response.json()
    print(json.dumps(data, indent=4))
else:
    print(f"Error: {response.status_code}")

The script returns a scraped and enriched profile, that's fresh, and includes data points like:

• Full name

• Work history

• Salary expectations

• Similar profiles

• Education

• A summary of the individual

• Email

• Phone number

• And more.

In fact, here's a full demo of using a few Proxycurl APIs with real-life use-cases (including one using ChatGPT to build personalized email), by our very own CEO, Steven.

Alternatively, we also hold a publicly scraped LinkedIn dataset, LinkDB, a collection of over 492,805,659 (and increasing) LinkedIn profiles (however, these profiles will not be as fresh as profiles enriched via our API - see how often is LinkDB updated).

Proxycurl Pros

• A plethora of B2B data, everything you could possibly need.

• API crawls are dispatched on-demand and are made in real-time for the latest data.

• Flexibility in data freshness.

• High scale crawl, scraping about a million pages per day.

• Affordable price plans.

Proxycurl Cons

• The API endpoints can be a bit intimidating for non-developers, and there might be a bit of a learning curve involved.

• Businesses requiring extensive hands-on customization might need additional support.

Proxycurl Pricing

2. PhantomBuster

A cloud-based scraping and automation tool that supports LinkedIn among other platforms. PhantomBuster advertises itself as the platform for all things lead generation, without the need for any coding skills.

PhantomBuster allows scraping for both public and private data, but you have to use your own accounts to scrape for private data. Private profiles return additional data that you can't get from public profiles, but with its own limitations: Low rate limit and legal risk. Customers can only scrape 80 profiles per day before their account gets blocked by LinkedIn.

You get 5 'Phantom slots' on your free trial and for the starter plan, which can be bumped up to 50 if you subscribe to their highest tiered plan. A Phantom is a single automated action for a specific lead generation objective. A Flow is a set of these Phantoms that allow integrated lead generation sequences that save you time.

One of them is the LinkedIn profile scraper:

On it, you can submit a LinkedIn profile or a desired list of profile URLs. The data it exports includes things like name, LinkedIn profile URL, company, and beyond, but you'll have to use a separate Phantom, the email extractor, to get an email address.

PhantomBuster Pros

• Supports automation on repetitive tasks.

• Supports business scaling by providing valuable insights through data analysis.

• Supports integration with multiple platforms.

PhantomBuster Cons

• Overcompensating UI; it can get super confusing.

• Only supports Hubspot, and limited options for other CRMs.

• Rate-limiting issues for high-volume operations

• Unable to bypass LinkedIn's limit or connection invite restrictions.

• Safety concerns as Phantom Buster requires you to download a Chrome extension and access your cookies to enter LinkedIn.

PhantomBuster Pricing

3. People Data Labs

A big player in the data solutions market, People Data Labs (PDL) is geared toward large-scale businesses that require enriched data for analytics, hiring, or marketing. It scrapes public LinkedIn data and works with third-party partners to get private data. Then it packages this data into datasets that customers can call using APIs.

People Data Labs Pros

• Large datasets on multiple data points.

• Tier based scalable solutions for different levels of enterprises.

• Plug-and-play model allows for immediate consumption.

People Data Labs Cons

• Even if there are different tiers, it's hardly affordable for small businesses and startups.

• Data freshness is a big issue, as they offer pre-collected data updated monthly by default.

People Data Labs Pricing

Note: You cannot sign up with a personal email. Signups are only validated using work emails, making it tough to get a free trial.

4. ZoomInfo

While not exactly a LinkedIn Scraper, Zoominfo leverages data from LinkedIn to provide company and individual data. Like most in this list, it deals with B2B data; extensive company and contact information, and is equipped with advanced search capabilities and integration options.

ZoomInfo Pros

• Supports integration with CRM platforms and workflow automation.

• Provides a granular view with advanced search options, along with intent data.

ZoomInfo Cons

• Not ideal for developers looking for customizable scraping solutions.

• Expensive plans, suitable for organizations with larger budgets.

ZoomInfo Pricing

Their pricing information is not publicly available. It is a trend for some data solution providers, even though I personally feel it's more of a bother. After some research, I found out their plan starts from $14,995/ year.

5. LinkedIn Sales Navigator API

Like I prefaced earlier, LinkedIn has their very own paid API that grants access to LinkedIn's network and professional data.

So why not just use that? You can't! You have to file an application for access with details on how you're going to use the data. Once you have applied, it goes through an approval process. LinkedIn carefully reviews API access applications to ensure they align with their guidelines and terms of service. The approval process can take several weeks, and there is no guarantee you will be approved.

Linkedin Sales Navigator API Pros

• Allows fetching real-time data and enrich your platform.

• Supports data syncing of newly fetched data with your existing customer information.

• Advanced search options with numerous fields filters.

LinkedIn Sales Navigator API Cons

• Lengthy approval process, hard to get access

• Harsh rate limits.

• Expensive venture, need an active subscription to access.

LinkedIn Sales Navigator API Pricing

Pricing for the API is not publicly disclosed and requires direct negotiation with LinkedIn, depending on the intended use case and volume of data access. The most common pricing reference you can get online is $99/person/mo.

6. Zopto

A LinkedIn automation and scraping tool designed for omni-channel outreach, Zopto is everything they advertise. With Zopto you can create multi-step campaigns with automated connection requests, follow-up messages, and InMail responses to nurture leads over time.

It is the perfect tool if you're looking to scale your LinkedIn outreach while maintaining a degree of personalization.

Zopto Pros

• Supports integration with Linkedin Sales Navigator

• Simple and easy to follow UI

• Supports integration with GPT

Zopto Cons

• Automated campaigns pose risk triggering LinkedIn's anti-automation policies

• Steep pricing for small businesses or individual users.

Zopto Pricing

Open-Source LinkedIn Scrapers

If you are a developer, this might be your category of choice. The public projects in Github are an excellent choice to look for sources that are free to use and customizable. These are ready-to-use tools usually built by independent developers and come with varying levels of documentation and community support.

But 'free' is not truly free. Open source LinkedIn Scrapers offer flexible modifications and are free, but it demands a lot of your time and requires technical expertise.

Those who are up for the challenge, I present to you a list of some projects that I deem are perfect for LinkedIn scraping.

7. LinkedIn_Scraper by joeyism

LinkedIn_Scraper is designed to automate the extraction of data from LinkedIn user and company profiles. It is proudly sponsored by Proxycurl, as a tip of the hat to the developers' spirit and ingenuity. It is one of the reasons the repository is still free.

Linkedin_Scraper makes the process of scraping LinkedIn with Python so much easier. How?

Let me show you.

Install the Python library by running the following command:

pip3 install --user linkedin_scraper

After installing the library, here's an example of how you can scrape a person's profile:

from linkedin_scraper import Person, actions
from selenium import webdriver
driver = webdriver.Chrome()
email = "[email protected]"
password = "password123"
actions.login(driver, email, password) # if email and password isnt given, it'll prompt in terminal
person = Person("https://www.linkedin.com/in/joey-sham-aa2a50122", driver=driver)

And that's how you do it! Be advised, you still have to circumvent LinkedIn's blocking policies. I could tell you how we do it here at Proxycurl but then I'll have to silence you, and I want us to be friends so..... good luck on that!

LinkedIn_Scraper Pros

• Absolutely Free.

• Doesn't require a LinkedIn login or API access.

LinkedIn_Scraper Cons

• It's not a one time setup. It is continuous work and you'll need to frequently update the scraper if LinkedIn changes its page structure.

• You have to parse HTML manually and navigate the complexities of DOM trees.

8. LinkedIn-API by tomquirk

Another feature scraper brought to you by yours truly is the LinkedIn-API by Tomquirk. A highly favored tool among developers for its flexible, code-based approach to scraping LinkedIn profiles, job listings, and more.

Let me show you how you can pull up a LinkedIn profile through this tool using Python.

First, install the LinkedIn API package.
pip install linkedin-api

Then, authenticate your LinkedIn account using email and password (use this responsibly to comply with LinkedIn's terms of service).

from linkedin_api import Linkedin
# Authenticate with your LinkedIn credentials
api = Linkedin('[email protected]', 'your_password')

Fetch a person's LinkedIn profile data using their public profile URL or unique identifier.

# Example of extracting a profile
profile = api.get_profile('Sese-Limbu-12345')  # Replace with the LinkedIn username or profile ID
print(profile)

What you get is a clean and structured output in JSON format.

{
    "firstName": "Sese",
    "lastName": "Limbu",
    "headline": "Technical Writer at Proxycurl",
    "location": "Vancouver, BC",
    "industry": "Information Technology",
    "summary": "Super cool guy with an innate hunger for personal growth.",
    "experience": [
        {
            "title": "Technical Writer",
            "company": "XYZ Corp",
            "duration": "3 years"
        },
        {
            "title": "Intern",
            "company": "ABC Inc.",
            "duration": "6 months"
        }
    ],
    "education": [
        {
            "degree": "Bachelors in Business Administration",
            "institution": "Kathmandu University School of Management",
            "year": "2021"
        }
    ]
}

By the way, Proxycurl is sponsoring this one too! As a developer-focused company, we are just trying to look after the community. Enjoy!

LinkedIn-API Pros

• Clean and structured JSON output.

• No parsing required.

LinkedIn-API Cons

• Requires LinkedIn credentials, risking account suspension.

• Limited to what the API endpoints provide access to.

9. LinkScrape by rosstripi

LinkScrape is another open source LinkedIn scraper, designed to scrape employee names from LinkedIn using company search results. It operates entirely on the command line, leveraging Python libraries like beautifulsoup4 and lxml to parse LinkedIn's front-end, without using the official API.

Here's how you can scrape Linkedin using LinkScrape.

Since the tool is primarily focused on employee enumeration, let's go ahead and see how we can pull that data.

Start by cloning the LinkScrape repository from GitHub to your local environment.

git clone https://github.com/rosstripi/LinkScrape.git
cd LinkScrape

Then, install the necessary Python libraries specified in the requirements.txt file in the repository.

pip install -r requirements.txt
Remember, you will need valid LinkedIn session cookies. Obtain your session cookie li_at from your browser and configure it in the script.

Now, get your target's LinkedIn company profile URL and run the script.

from linkscrape import LinkedInScraper
# Initialize scraper with your LinkedIn cookie
scraper = LinkedInScraper("your_li_at_cookie")
# Extract employee data
company_url = "https://www.linkedin.com/company/apple/"
employee_data = scraper.scrape_employees(company_url)
# Print results
for employee in employee_data:
    print(f"Name: {employee['name']}, Position: {employee['position']}")

What you get is a structured output in JSON format.

[
    {
        "name": "Claire Spencer",
        "position": "Marketing Manager"
    },
    {
    "name": "Ahmed Mansoor",
    "position": "Software Engineer"
    },
    {
        "name": "Carla Jensen",
        "position": "HR Specialist"
    }
    ]

LinkScrape Pros

• Targeted scraping; Designed for company-based scraping rather than broad profile searches.

LinkScrape Cons

• Targeted scraping yes, so it makes the tool limited.

• LinkScrape lacks the extensive session handling of other tools, which might result in faster session expirations.

• With fewer users and contributors, troubleshooting and enhancements may take longer compared to more established open-source projects like LinkedInScraper.

10. LinkedIn-Scraper by TufayelLUS

The last entry for this category is LinkedIn-Scraper by TufayelLUS. A scraper designed for extracting detailed LinkedIn profile data. Unlike tools like LinkScrape or LinkedIn-API by TomQuirk, TufayelLUS Scraper excels at extracting specific skill details and endorsements. This makes it ideal for talent acquisition or workforce skill analysis.

Let's go through how you can extract data using this scraper.

First, clone the GitHub repository and install the required dependencies via pip install -r requirements.txt.

Then, log into LinkedIn and retrieve the li_at cookie from your browser's developer tools. Update the configuration file or pass the cookie directly when running the script.

Now, use the command line to specify the type of data you want to scrape. For today, I will show you how to scrape an individual profile.

from tufayel_scraper import LinkedInScraper
# Initialize the scraper
scraper = LinkedInScraper(li_at="your_li_at_cookie")
# Scrape a specific profile
profile_data = scraper.get_profile("https://www.linkedin.com/in/example-profile/")
print(profile_data)

The output generated is in JSON and containing fields like

• Full name

• Job title and company

• Education history

• Skills and endorsements

LinkedIn-Scraper Pros

• Supports scraping jobs and company pages in addition to individual profiles, offering more functionality than narrower tools like LinkScrape.

• Robust HTML parsing techniques, minimizing errors in capturing structured data.

LinkedIn-Scraper Cons

• Depends heavily on the li_at cookie; frequent session expirations can be expected.

• TufayelLUS Scraper has a smaller community resulting in slow troubleshooting or enhancement requests.

• No built-in rotation for proxies or accounts; scraping larger volumes of data may lead to faster bans.

Browser Extension LinkedIn Scrapers

Browser extension LinkedIn scrapers are an ideal option if you're working alone or in a small team. They're lightweight, easy to set up, require no advanced technical skills, and deliver quick results.

11. Evaboot

Evaboot is an extension based Linkedin scraper that requires a LinkedIn Sales Navigator subscription.

Once you install the extension, you can perform Sales Navigator searches and then export the data back to Evaboot.

They export data points like full name, company, role, LinkedIn profile URL, and then they have an additional feature to obtain email addresses.

Evaboot Pros

• Great documentation and tutorials to assist new users.

Evaboot Cons

• Requires LinkedIn Sales Navigator access.

• Credit-based system for emails and exporting data.

• Restricted to data scraping only, with no additional automation features.

Evaboot Pricing

Evaboot has both subscription and one time payment plans.

They also have a credit system, in which:

• 1 export credit = LinkedIn profile + company data

• 1 email credit = email search + verification

You can opt for buying as low as 100 credits for just $9. Or go up to 50,000 credits at $499.

12. MeetAlfred

For whatever reason, Meet Alfred refused to successfully link with my LinkedIn. Not a great first impression.

The silver lining is Meet Alfred doesn't require a Google Chrome plugin like the others. It just relies on one central dashboard and offers a couple of options for scraping LinkedIn:

So, for example, you could specify a search URL, or input your own specified search query:

Afterwards you could conduct outreach campaigns or export the scraped profiles which includes data points like name, phone number, and email.

Meet Alfred Pros

• Provides a variety of ways to search for LinkedIn profiles.

• Pretty simple UI.

Meet Alfred Cons

• Focus more on omnichannel outreach rather than scraping LinkedIn profiles (it wants you to keep the data in-house).

Meet Alfred Pricing

13. Octopus CRM

Octopus CRM advertise themselves as "the all-in-one LinkedIn automation tool". Bold claim for a LinkedIn scraper operating using Google extension. But on closer inspection, it's actually not very hard to extract data.

But like with other extension based scrapers, the primary purpose seems to be more on LinkedIn marketing and outreach than LinkedIn scraping. That said, there is a provision to export emails and phone numbers into a .CSV file.

Octopus CRM Pros

• Supports integration with just about any tool.

• Pricing is on the cheaper side.

Octopus CRM Cons

• Hyper-simplistic UI.

• Higher priority towards outreach than scraping or exporting data.

Octopus CRM Pricing

14. Waalaxy

Waalaxy is a freely downloadable LinkedIn scraper that works through Google Chrome extension. The free version allows you to send 80 invitations per week, but that means 80 messages, 80 visits, 80 follows and 80 message requests.

After enabling, all you have to do is perform a person search on LinkedIn, so, for example, I searched "SaaS founders" and then exported the data:

The data then goes over to the Waalaxy dashboard through the chrome extension:

After that, you can export the desired profiles in a similar fashion to Evaboot. However, I will admit the data isn't very rich. It's mostly just name, role, LinkedIn profile URL, and then some contact information.

Waalaxy Pros

• Beginner friendly UI, almost too simple.

• Inbox management system

• Affordable pricing tiers

Waalaxy Cons

• Hardly any useful data is extracted. More for outreach rather than extracting data from LinkedIn.

• Simple yes, but too simple. Barely basic scraping functionalities compared to dedicated scrapers.

Waalaxy pricing

15. Dux-Soup

The final extension based LinkedIn scraper, Dux-Soup is a great shout if you're looking to optimize your outreach, without using complex tools. You have the option to choose if you want to work with your LinkedIn account, Sales Navigator or Recruiter account.

Once downloaded, you can create 'Drip' campaigns to automate LinkedIn connection invitations, follow and endorse profiles, send InMails, and messages.

If a prospect responds, they are moved from your campaign into your pipeline for you to close. The Dux-Dash campaign statistics provide a clear overview of areas that need improvement to optimize your LinkedIn lead generation efforts.

Dux-Soup Pros

• Short yet detailed tutorial upon using the platform for the first time.

• On the more affordable side of pricing.

Dux-Soup Cons

• Weirdly enough, the extension doesn't work if the browser is closed.

• They guarantee safety of your LinkedIn account, but it is open to restrictions if usage limits are exceeded.

• More about outreach than scraping.

Dux-Soup Pricing

Lead Generation and Email Discovery LinkedIn Scrapers

By now, it's clear that not all LinkedIn scraping tools are made for a single purpose. The scrapers in this category are for generating leads and discovering verified contact details, indispensable for sales and marketing professionals.

16. Hunter.io

Hunter.io is made to find and verify emails, to support email campaigns, making it an essential resource for marketers, recruiters, and sales teams looking to connect with key decision-makers and prospects.

You are greeted with a quick tutorial link as soon as you create a free account. It's simple to follow and you can extract email addresses associated with a certain domain, build a targeted contact list, automate your outreach message and scale your campaign.

Hunter.io Pros

• Easy-to-follow tutorial and simple enough UI.

• Email verification is excellent in dodging bounce rates.

Hunter.io Cons

• Massive priority on email discovery and outreach, better tools available for dedicated scraping.

• Can match false positives on email verifications.

Hunter.io Pricing

17. Lusha

Lusha sells access to its huge B2B database where businesses can find verified contact details. It works as both a Chrome extension and through an API, so you can extract professional data directly from LinkedIn or integrate it into your CRM systems like Salesforce and HubSpot.

Lusha Pros

• Reasonable pricing for the quality of data it provides.

• Interactive dashboard and supports integrations with popular CRM platforms.

• Has a chrome extension where you can extract contact data directly from LinkedIn profiles while browsing.

Lusha Cons

• Instances of wrong information being served; posing trust issues.

• LinkedIn's data access limitations, especially with frequent scraping.

Lusha Pricing

Note: You cannot sign up with a personal email. Signups are only validated using work emails.

18. Apollo.io

With a database of 270M contacts, Apollo.io has one sole purpose; boost sales engagement to the max. It gathers verified emails and contact numbers from LinkedIn, trying to scan and suggest potential leads. Automation is another strength of Apollo.io, as the platform automates emails, marketing and sales processes, sequences touchpoints, and sales call dialing.

Apollo.io Pros

• 65+ advanced search filters.

• Serious automation features; Almost every repetitive sales and marketing tasks can be automated.

• Seamless integration with CRMs like Salesforce for workflow efficiency.

Apollo.io Cons

• Full-on automation poses a risk of losing personal touch.

• High tier pricing, hard to access for small businesses and startups.

• Instances of outdated or incorrect data despite regular updates.

Apollo.io Pricing

Note: You cannot sign up with a personal email. Signups are only validated using work emails.

19. UpLead

A people's favorite, UpLead is the top-rated B2B data provider on G2. Instead of providing raw web scraped datasets, they provide a clean prospecting list, which you can then plug into your CRM. Uplead prides itself with its dedication to providing accurate data, backed up by real-time verified emails, mobile numbers and intent data.

UpLead Pros

• Excellent tracking of lookups.

• Credits are only charged for verified email addresses.

• One stop solution; enriches profiles with important fields that cut down the need for prospecting.

UpLead Cons

• The number of "valid" leads cuts down the amount of total leads. Even if a large amount of leads are generated, only a small % of them are pursuable "valid" leads.

• The database lacks in volume in contrast to its cost.

UpLead Pricing

Note: Free trials require credit card information to activate.

20. Lemlist

A platform renowned for its exemplary interface, Lemlist is an email outreach and sales engagement platform, revolutionizing personalized outreach, deliverability, and multi-channel prospecting.

Lemlist has a cockpit management feature, which serves as a single dashboard, where you can manage your team accounts. Lemwarm, a free add-on specialized email deliverability service, is another standout feature that allows you to improve and maintain a high deliverability score as you reach out to your target audience.

Lemlist Pros

• A complete email solution with email templates, personalization options, automation and sequencing features with A/B testing.

• Platform specific features like Lemwarm and cockpit management make it unique.

Lemlist Cons

• Customer reviews are mixed; grievances about online customer support, billing, refunds, software crashes and bugs.

• The platform lacks tagging features and inaccurate email tracking.

Lemlist Pricing

Note: You cannot sign up with a personal email. Signups are only validated using work emails.

21. Snov.io

My final entry for the lead generation and email discovery LinkedIn scraper, is Snov.io. It is an outreach tool that allows you to collect leads, store them in your CRM platform and send out targeted cold emails. There is an email finder extension where you can hop on LinkedIn and find your prospects, their email addresses, and make lead generation seamless.

A quick look, and the app is geared for lead generation and GETTING YOUR MESSAGE OUT. The Snov.io is a great sales automation tool, small-scale CRM, email marketing tool, and lead generation tool.

The email finder feature in the platform is acclaimed among users, and I can see why. Combine that with the plugin, lead generation becomes easy.

Snov.io Pros

• In-platform guides and tutorials are easy to follow through

• Efficient lead generation process (Platform + Extension)

Snov.io Cons

• No refunds.

• For a LinkedIn scraper, it is weird the email finder doesn't work on LinkedIn.

Snov.io Pricing

Data Aggregation and Analytics LinkedIn Scrapers

Moving away from singular developer solutions, we are now talking large-scale. Data aggregation and analytics scrapers cater to professionals and businesses that need more than just what LinkedIn has to provide up front. These scrapers go beyond extracting individual data points and provide enriched datasets, trends, and predictive insights for market research, talent analytics, workforce planning, and competitive analysis.

If you are in human resources or market research for a firm, this category of LinkedIn scrapers might appeal to you.

22. Revelio Labs

A tool that standardizes public employment records to create a comprehensive HR database, Revelio Labs is perfect for HR analytics and the data services industry. It provides workforce intelligence by analyzing publicly available workforce data. You also get predictive analytics that anticipate layoffs, growth, and role-specific demand, making it ideal for corporate strategy and workforce planning.

The platform is easy to navigate, and there were no hiccups signing up for a free trial either. The best thing here is definitely the workforce dynamics (aggregated workforce statistics). An overview of everything you need to know about the company and their employees. The filters are awesome and have a variety of fields where you can tune your search results.

Revelio Labs Pros

• Comprehensive workforce analytics, tailored for enterprise needs.

• Predictive insights give a competitive edge in talent acquisition.

• Detailed historical data for benchmarking and trend analysis.

Revelio Labs Cons

• No transparent pricing details available.

• Limited to only providing workforce data and lacks broader B2B data.

Revelio Labs Pricing

The pricing is not publicly available. However, they provide a 7 day free trial on signup and their pricing roughly starts from $85,000 a year. That is a tall pricing point, not a number every firm can afford.

23. Xverum

Xverum provides paid access to its massive-scale open web data with an aim to empower ML and SaaS platforms. Their datasets they extract are focused on firmographic data (information about companies), individual profiles, and other relevant public data.

Not much data is available on Xverum. Customer reviews online are not large enough to hold as reference.

Xverum Pros

• They offer robust API options, enabling smooth integration into marketing and sales tools.

• Extensive targeting options, supporting businesses in building segmented, tailored lists.

Xverum Cons

• Xverum does not publish its pricing structure openly, which can make budgeting and cost comparison challenging.

• Data update periods are not transparent; businesses that rely on highly current data might need a provider with data freshness guarantee.

Xverum Pricing

No free trials and no public pricing available. Their pricing roughly starts from $5,000/year.

24. Coresignal

Coresignal might not be your typical scraper, but it does sell scraped data. They're a major player in the industry and there's a reason why customers prefer their service for their data solutions. Their datasets also consist of public and private data from LinkedIn, which they either scraped themselves or acquired through third-party means.

Coresignal Pros

• Large dataset, aggregates data from a significant number of sources.

• Provides a lot of data formats: JSON, Parquet, CSV, Other (upon request).

Coresignal Cons

• Reports of customers receiving out-dated data. See Proxycurl vs. Coresignal.

• "Real-time" API does not return data immediately.

Coresignal Pricing

25. TalentNeuron

TalentNeuron is another workforce analytics platform that offers insights into labor market trends, talent availability, and workforce planning. It combines LinkedIn data with other proprietary sources to provide global workforce intelligence. Assessing hiring approaches, site selection to evaluate locations, benchmarking against competitors, diversity tracking, and remote work strategy development are all features provided by TalentNeuron.

TalentNeuron Pros

• Combines LinkedIn data with third-party sources for deeper insights.

• Great for teams/departments planning workforce expansions and recruitment strategies.

TalentNeuronCons

• Lacks direct data download options like other competing tools.

TalentNeuron Pricing

The pricing information is not publicly available and you need to contact their sales team to sign up. No free trials either.

26. SeekOut

SeekOut combines LinkedIn data with other sources to offer a robust platform for diversity hiring, talent sourcing, and analytics. It is an AI powered talent search engine built to help sources find and hire the right talent, fast.

A lot of standout features in this tool, starting with the Boolean search, which allows you to combine keywords with modifiers like and, not, and or to get more relevant results. The platform also has an AI robot that can work on your behalf and search for potential candidates that qualify for a job.

SeekOut Pros

• Advanced diversity filters make it stand out in hiring analytics; it can find talent even among your existing team.

• AI powered search-engine like platform.

SeekOut Cons

• Data heavily leaning towards the US and Canada.

• Limited use cases beyond recruitment.

SeekOut Pricing

They have their plans drawn out on their website but to get the pricing details, you will have to contact them. Their plans roughly start from $499/mo. No free trails available.

27. Entelo

Entelo is my last rendition of data analytics Linkedin scraper. Similar to Revelio Labs, Entelo provides predictive recruiting and workforce diversity analysis. It's interesting as the software uses predictive analytics by identifying candidates who are more likely to change jobs. You can identify high-potential candidates, particularly those open to new opportunities or with specific skill sets.

Entelo Pros

• Predictive recruiting tools streamline proactive hiring efforts.

• Simple UI and strong ATS integration simplifies recruitment workflows.

Entelo Cons

• Limited in scalability compared to tools like Revelio Labs or Xverum.

Entelo Pricing

The pricing information and plans are not available on Entelo's website. But I have it in good authority that their pricing starts from $149/mo. No free trial available.

No-Code LinkedIn Scrapers

I'm here to let you know, anyone can scrape LinkedIn. Yes, even if you have 0 coding experience.

No-code LinkedIn scrapers are ideal for individuals and businesses that need data extraction without programming knowledge. These tools provide intuitive interfaces and pre-built workflows that help you to scrape LinkedIn efficiently.

28. OctoParse

Behold, the first no-code LinkedIn scraper on the list, Octoparse. A multi-purpose tool that can scrape LinkedIn along with various other websites. The platform can handle tasks like extracting public profiles, job postings, or company information. The cloud-based platform also supports integration with apps like Slack via Zapier.

I am a fan of the website's point-and-click interface. It is super simple and easy-to-follow. You can choose from a selection of templates they have available. Each template is associated with a website and is designed to do one specific task; for instance, the Linkedin Job Scraper template allows you to pull job information like job title and description from a URL.

Octoparse Pros

• An all in one web scraping tool.

• Cloud scraping allows tasks to run even when offline.

Octoparse Cons

• Limited scraping capabilities on dynamic LinkedIn data due to platform anti-scraping measures.

• Advanced features are primarily available to enterprise-level users.

Octoparse Pricing

29. Bright Data

Bright Data is kind of unique, in the sense, it does not scrape data for you but provides proxies for your own scrapers. Its no-code data collector even allows users to bypass restrictions like CAPTCHAs and IP bans. In 2022, they launched a new line of dataset products, with variety that rivals or even exceeds that of Coresignal's datasets.

Bright Data Pros

• Reliable and a variety of proxy services: residential proxies, ISP proxies, data center proxies, and mobile proxies.

• Data collector and SERP API tools enable you to collect public data in real-time.

• You get to build your own scraper!

Bright Data Cons

• Setting and implementation can take weeks for everything to function properly.

• Some proxies are quite expensive and might be beyond budget for startups and small businesses.

Bright Data Pricing

Note: The pricing plans are anything but simple. There are a lot of subcategories and different pricing points. I suggest you visit the Bright Data Pricing page to get a better look. Be advised, you cannot sign up without a work email.

30. ParseHub

ParseHub is a versatile no-code that uses machine learning to identify page elements, making it easier to set up scraping tasks. The platform navigates and extracts data from sites using Ajax, JavaScript, cookies, sessions, and redirects.

I found ParseHub intuitive and powerful. The point-and-click interface is easy to figure out even if you don't have any instructions or tutorials. Just copy the URL you want to scrape from, and then use the browser interface inside the platform to point and click. All the data scraped is displayed below and you can even choose the format.

What's astonishing is this is all from the free version. I am quite impressed with what you can do with just the free version. ParseHub claims that the free version is worth $99, and I don't doubt it. You get 200 pages of data in 40 minutes and you'll be able to launch your projects without spending any time writing scraping scripts by yourself.

ParseHub Pros

• Extract data from any website and create custom Excel files.

• Smooth and user-friendly interface through a point-and-click method.

• Supports cloud storage integration with popular cloud storage services like Dropbox and Amazon S3.

ParseHub Cons

• Struggles with LinkedIn's anti-bot measures, leading to potential data gaps.

• Difficulties in troubleshooting extraction failures or making necessary project adjustments.

• Consumes a significant amount of system resources, particularly in the free version.

ParseHub Pricing

31. Import.io

Import.io allows you to pull data from LinkedIn or any website and have this data updated in real time. Just map the data on a page and the platform's algorithm will do the rest. What you get is an API that gives you real time access to the data on that website.

While it is a no-code scraper, it provides the option for tech savvy users to use their data extraction features to make custom crawlers, get data from behind a login, and combine multiple data sources and query them all at once with a single API call.

Import.io Pros

• Supports scheduled scraping for regular data updates.

• Integrates with data analysis tools like Tableau and Google Sheets.

• Strong customer support for troubleshooting issues.

Import.io Cons

• Limited LinkedIn-specific workflows.

• Requires manual intervention for highly dynamic LinkedIn pages.

Import.io Pricing

Their website has plans and the details outlined in their pricing page, but weirdly enough their corresponding pricing is not displayed. You do get a 14 day free trial upon signup.

How do I find the best LinkedIn Scraper for me?

30+ different options to choose from, no wonder you might feel overwhelmed! To make it simpler, I've already categorized the scrapers. Now, let me break it down even further by highlighting key factors you should consider when selecting the right LinkedIn scraper.

Technical proficiency

If you're a developer or have a technical background, tools like Proxycurl or LinkedIn Scraper might be more up your alley. Depending on the volume of data and the time you are willing to invest, you would want to work with an enterprise level solution like Proxycurl or work by yourself on an open-source solution.

For those less technically inclined, no-code scrapers like ParseHub or Octoparse and browser extension-based tools like Waalaxy, Evaboot, or Octopus CRM might be more suitable.

Data depth and freshness

If you're looking for the most recent and in-depth data, Proxycurl stands out. Especially with its use_cache=if-recent parameter and a data freshness guarantee for your peace of mind.

For more basic data, tools like Dux-Soup and Waalxy might suffice.

Purpose

Each category of LinkedIn scrapers serve a different purpose.

If your focus is on data extraction and enrichment, Proxycurl offers a comprehensive solution.

For outreach campaigns, Waalaxy and Octopus CRM are designed with this primary function in mind.

If email maximization and lead generation is your game, go with Hunter.io or UpLead.

Budget

If you're on a tight budget, the open-source options like LinkedIn_Scraper and LinkedIn-API are free.

For those willing to invest for more features and ease of use, Proxycurl and PhantomBuster offer tiered pricing options.

Ease of Use

For a straightforward, user-friendly experience, Waalaxy, Lemlist and ParseHub are designed with simplicity in mind.

Tools like PhantomBuster and Coresignal might have a steeper learning curve due to their extensive features.

Scalability

If you're looking for a tool that can grow with your business, Proxycurl offers a scalable API that can be integrated into various systems.

Is LinkedIn Scraping legal?

Let me preface by saying web scraping is legal. The legality of scraping is based on different factors like the type of data, the website's terms of service, data protection laws like GDPR, and much more.

As per LinkedIn's policy, it is very clear that scraping isn't allowed. Using third-party software is strictly prohibited to scrape LinkedIn.

So, are we working beyond the law?

Absolutely not. The CFAA (Computer Fraud and Abuse Act) clearly mentions, scraping publicly available data isn't considered hacking. It is LEGAL to scrape publicly available data in LinkedIn, if you are doing it ethically.

Bottomline: Scraping data is against LinkedIn's terms of service, but it is NOT illegal.

Just make sure you operate under their policy limitations:

• Free Account: Extract 80 profiles/day.

• LinkedIn Premium Account: Extract 150 profiles/day

• Sales Navigator Account: Extract 1000 profiles/day

Or better yet, sign up for a third party LinkedIn scraper (data provider like Proxycurl!, and transfer the liability completely.

My Recommendation

I've opened the playing field up, so everything is out in the open. My personal recommendation is Proxycurl. It stands out (yes out of all these tools) for its versatility, depth of data, and developer-friendly features.

Obviously, I might be a bit biased, but I back my words with facts.

With Proxycurl, you won't need any VPNs, proxies, a rotating index of LinkedIn accounts, or anything else. Zero LinkedIn scraping headaches involved!

You get access to rich B2B data from more data sources than just LinkedIn. We always link it back to a LinkedIn identifier, so it may seem like our API only relies on LinkedIn, but it doesn't.

That's just a part of the equation and is what often makes our data richer than our competitors.

Proxycurl will provide you with a simple and scalable API that you can build into whatever you need it to be, or into your existing systems. It easily solves the need of having to scrape LinkedIn profiles, and you gain access to even richer data than you could obtain by scraping LinkedIn alone.

You start off with 100 free credits upon signup, so test it out, have a look around. See if I am truly biased or just talking off of facts.

Final Thoughts

With this list, now you're equipped with the power of identifiable options. Weigh your needs and make an informed decision, because no one wants to change their providers midway. It's just too much hassle, takes too much energy, money and messes up with your datasets.

Your ideal LinkedIn scraper is there to support your purpose. With so many choices available, don't settle for anything less.

Ready to opt for a scraper without compromises? Sign up with Proxycurl today!

FAQs