How to Scrape LinkedIn Using a LinkedIn Scraper: 5 methods

Unlock the secrets of efficient LinkedIn scraping at Scrapin.io's blog. Elevate your data extraction skills and stay ahead in the world of business intelligence.
Julien Keraval
November 10, 2023
5 min

No doubt, LinkedIn stands out as one of the biggest and richest resources for scraping valuable information. Whether you need to create targeted marketing campaigns or identify promising leads, the need for an effective LinkedIn scraper can’t be overruled.

If you wonder how to harness the most relevant information through scraping LinkedIn, we have got you covered. Here, we have tried to unveil the most intriguing ways to scrape LinkedIn. These methods range from manual approaches to using advanced APIs.

So, let’s see how these methods can help you to unlock the true potential of LinkedIn’s data.

What is Data Scraping?

To put it simply, ‘Data Scraping’ or 'Web Scraping' is a process of collecting and importing data from websites. The data thus collected is organized using spreadsheets or files. Data scraping is an efficient way to collect data for processing, analysis, or presentation.

Here are a few of the most notable applications of data scraping:

  • Conduct market research
  • Facilitate sales and marketing teams for lead generation
  • Monitor the prices of products or services
  • Collect business information

Why do you Need LinkedIn Data?

With a considerable number of professionals joining every day, LinkedIn tends to serve as a vast and authentic resource for data collection. Apart from using LinkedIn for personal use, this data-rich platform proves to be helpful in a variety of ways.

Here are some of the key reasons why you need LinkedIn data:

  • Get Data Insights for Marketing Purposes
  • Get Accurate Professional Information for Sales Purposes
  • Get Accurate Personal Information for Recruitment Purposes

Get Data Insights for Marketing Purposes

By using a LinkedIn scraper, you can collect the data and find the targeted audience. Hence, you can make personalized messages and reach out to the targeted audience with a more personalized message. For instance, by scraping data on job roles, industries, and professional interests, a marketer can tailor content marketing strategies to align with the interests and needs of potential clients. For example, a company selling project management software can scrape LinkedIn for project managers, operations leads, and C-suite executives in industries like construction or IT, and create targeted ad campaigns or informative articles that address common challenges faced in project management.

Get Accurate Professional Information for Sales Purposes

Once you have scraped LinkedIn data, you can use the information to make the most crucial financial decisions. The data obtained through a LinkedIn scraper allows you to stay updated with the latest market trends. This helps with obtaining accurate professional information for sales purposes.

For instance, sales professionals can benefit from LinkedIn data by identifying key decision-makers within their target companies. By scraping LinkedIn for job titles and current employers, a sales rep could build a list of product managers in tech companies for a new software tool. This enables direct LinkedIn outreach to individuals who are most likely to influence purchasing decisions, thus potentially shortening the sales cycle and increasing the likelihood of a successful sale.

Get Accurate Personal Information for Recruitment Purposes

LinkedIn profiles are rich in content and are very structured. This enables you to find individuals with specific educational backgrounds or skills. As a result, you can expect to get access to a vast pool of professionals. For instance, recruiters often turn to LinkedIn to source candidates for open positions. By scraping LinkedIn for specific skills, experience levels, and educational backgrounds, recruiters can pinpoint potential candidates who match the job requirements closely. For example, if a tech startup is looking for a software engineer with expertise in machine learning, the recruiter can scrape LinkedIn for profiles that list both 'software engineering' experience and 'machine learning' as a skill or past job responsibility.

5 Best Methods to Scrape LinkedIn Data

Below, we have talked about the most effective ways to scrape LinkedIn data. So, let’s dive in!

Method 1: Manual LinkedIn Scraping

Yes, I know.. It's not the most exciting part, but before we jump into the more advanced stuff, like automation, we need to cover the basics: Manual LinkedIn Scraping. So, if you're keen on learning how to scrape LinkedIn manually, just follow this step-by-step guide:

Step-by-Step Guide to Manual Scraping

Step 1: Identifying Extractible Data from LinkedIn Profiles

First, you need to determine what type of data you want to extract from LinkedIn. For instance, you can look for job postings, profiles, or company information. Identifying your target data allows you to find what you exactly need, which in turn saves time and effort.

Step 2: Use Advanced Search Filters

Advanced Linkedin Search filters

You can take advantage of advanced search filters offered by LinkedIn. This helps to narrow down the targeted data. For example, you can use filters like job title, industry, or location. By doing so, you can find the most relevant profiles depending on the data you need.

Step 3: Visit the Profiles

Linkedin Profile data

This step involves visiting the relevant profiles and viewing the details like education, former job titles, experience, and connections. You need to be patient and explore the profiles thoroughly. It can help you find the most valuable information.

Step 4: Record Data Manually

Scraping spreadsheet

Use a spreadsheet to record the data manually by taking notes and filling in the desired information in its relevant field. To avoid any confusion, make sure to keep your data organized by labeling it properly.

  • Programming skills aren’t required
  • Time-consuming
  • Not Scalable
  • Data isn’t always accurate
  • Can’t be integrated into software

Method 2: Chrome Extension Scraper

Here are two of the most common Chrome extensions you can use for LinkedIn scraping:

LinkedIn Profile Scraper extension

If you want to scrape LinkedIn profiles one by one, you can use LinkedIn Profile Scraper. This extension stands among the most effective LinkedIn scrapers.

Step 1: Visit a LinkedIn Profile

Go to a LinkedIn profile and look for the information you can extract. For instance, you can find experience, education, and skills by clicking on the profile’s contact info. Once you are sure that the information provided in a profile is useful, just click on the “Scrap Profile” button.

Linkedin Profile chrome extension

Step 2: Export the Linkedin Profile

Scrap the profile or list of profiles by following the first step. Next, you need to click the “Export Profiles” button.

Export Linkedin Profile

Step 3: Download the extracted data

Download Linkedin data

Then you can download the extracted data.

  • No programming skills required
  • Allows collecting data in both CSV format and JSON formats
  • Requires time and effort
  • Can’t be integrated into software
  • Limited data

Evaboot extension

If you want to scrape LinkedIn Sales Navigator, this extension can serve as a powerful LinkedIn scraping tool.

Step 1: Create an Evaboot account

Create an account by going to evaboot.com and clicking on “Try for Free”.

Evaboot homepage

Step 2: Get the Chrome extension

Once you have created an Evaboot account, click on “Get Chrome Extension”. After you have downloaded the Evaboot extension, just add it to Chrome.

Evaboot chrome exension

Step 3: Create a Linkedin Sales navigator search

Linkedin Sales Navigator search

Begin by setting up the initial filters, and adjust them progressively until you're satisfied with the focus of your search. Sales Navigator offers an array of more than 30 filters, which are divided between those that pertain to companies and those that are relevant to individual professionals. Below, we will outline some of the most frequently used filters.

For filtering company-specific information, you might want to utilize options like the 'Company Headquarters' to narrow down the geographical area, the 'Company Headcount' filter to target businesses of specific sizes, and the 'Company Type' filter to distinguish among public, private, and other organizational statuses.

With the 'Headquarters' filter, you have the flexibility to specify or eliminate certain locations in your search parameters.

Step 4: Export the Linkedin Sales navigator search

Export Linkedin sales navigator search with Evaboot

Now click “Export with Evaboot”, give a name to your export, and click on export leads.

  • No programming skills required
  • Time-consuming
  • Not scalable (can’t be integrated in software)
  • Data isn’t always accurate
  • Paid tools

Method 3: Free GitHub Package

This free GitHub package allows scraping personal and company LinkedIn data for free. You can extract data such as LinkedIn profile URLs, education, experience, or even the interests of a person. Although this method is free, you need to be a developer with some basic skills.

Open Source LinkedIn Scraper

Step 1: Clone the GitHub repository

Use this command to clone the GitHub repository in your environment:

git clone https://github.com/joeyism/LinkedIn_scraper.git

Step 2: Install the dependency

You can use this command to install dependency:

pip3 install --user LinkedIn_scraper

Step 3: Setup the chrome driver  

With this command, you can set the chrome driver:

export CHROMEDRIVER=~/chromedriver

Step 4: Execute the following Python code

Now, you can scrape a person’s LinkedIn data from a LinkedIn URL using the example python code given below:

from LinkedIn_scraper import Person, actions
from selenium import web driver

driver = webdriver.Chrome()

email = "some-email@email.address" # Replace with your Linkedin Email
password = "password123" # Replace with your Linkedin Password

actions.login(driver, email, password) # If email and password isn't given, it'll prompt in the terminal

person = Person("https://www.LinkedIn.com/in/joey-sham-aa2a50122", driver=driver)

  • Can be integrated into software
  • Data is always up-to-date (Real-time data scraping)
  • Not a stable LinkedIn data extractor (support on the ticket issued by GitHub)
  • No scalable (LinkedIn volume limitation)
  • Not secure (Have to authenticate with your own LinkedIn account)

Important note: Using this free GitHub package could result in suspension of a LinkedIn account. You need to be careful, as your own LinkedIn account is used to authenticate. Once LinkedIn detects irregular behavior, it warns you of inappropriate use of its automation tools. This could result in an account ban.

Method 4: Use a Cookie-based LinkedIn Scraper Tool

You can also scrape LinkedIn data by using cookie-based applications like PhantomBuster. This linkedin automation tool is capable of scraping the available data from LinkedIn profiles including name, job, contact, education, and even email. All this information can be downloaded in a spreadsheet.


By following this guide, you can learn how to use Phantombuster to scrape LinkedIn.

Step 1: Sign up in Phantombuster

Go to phantombuster.com and create an account. Once logged in, browse phantoms and search for LinkedIn Profile Scraper. This phantom will automatically visit the LinkedIn profiles and extract every piece of data that is publicly available.

Step 2: Connect Phantom’s Browser Extension

Phantombuster chrome extension

Install PhantomBuster's browser extension and connect to your LinkedIn. The safest and most efficient way to connect your account to this extension is by using a session cookie.

Step 3: Provide LinkedIn Profile URLs

Phantombuster Linkedin Scraper

This step involves providing the URLs of the relevant LinkedIn profiles. You have two options including:

  1. Process a single profile.
  2. Process multiple profiles by adding all the URLs in a Google sheet.

Important Note: To allow PhantomBuster to access your spreadsheet, make sure it is public.

Step 4: Selecting the Number of Profiles to be Processed Per Launch

Phantombuster Linkedin Scraper

During this step, you can tell Phantom how many profiles it can process during each launch. Keep the number of profiles under the recommended “Rate Limit”.

Step 5: Set the Phantom on Repeat

Phantombuster Linkedin Scraper

Setting the Phantom on repeat usually promises better results. By setting the Phantom to launch repeatedly, you can get the results even when you are away. Then you can click on "Launch".

  • Data is always up-to-date (Real-time data scraping)
  • Not a stable LinkedIn data extractor (you have to renew your cookie frequently)
  • No scalable (LinkedIn volume limitation)
  • Not secure (Have to authenticate with your own LinkedIn account)
  • Paid tool

Important note: Using a Cookie-based LinkedIn scraper tool like PhantomBuster could result in suspension of a LinkedIn account. It's important to proceed with caution because your LinkedIn profile is utilized for verification purposes. If LinkedIn observes any abnormal activity, it will alert you about the misuse of its automated features. Such actions may lead to the suspension of your account.

Method 5: Use a LinkedIn Scrapper API

ScrapIn is one of the best solutions for scraping LinkedIn data at scale. Being one of the most powerful LinkedIn scraping tools, ScrapIn makes it possible for you to collect relevant data about a personal or company profile on LinkedIn. While doing so, you don’t even need to use your account or LinkedIn API.

Besides, this LinkedIn automation tool allows you to collect unlimited LinkedIn information. You can also aggregate data from different sources. Another key feature of ScrapIn is its ability to search for data in real time. Therefore, you can expect up-to-date and comprehensive results.

In addition, ScrapIn is legally compliant and operates within a legal framework. Hence, this API stays compliant with data protection laws including GDPR and CCPA.

Step-by-Step Guide to Integrate ScrapIn API

This step-by-step guide tells you how to integrate and use ScrapIn API.

Step 1:  Sign up for free

You can directly sign up for free on this page: https://www.scrapin.io/

ScrapIn homepage

Step 2: Try the request builder

Use the request builder to build your query with ScrapIn API.

ScrapIn Query Builder

Step 3: Integrate ScrapIn API in your software

Integrate the easy-to-use and powerful ScrapIn API into your software. Below is a JavaScript code example illustrating how to utilize this LinkedIn scraper API:

const axios = require('axios');

const API_KEY = 'YOUR_API_KEY'; // Replace with your API key from the Scrapin dashboard
const LINKEDIN_TARGET = 'LINKEDIN_URL_OR_PROFILE_ID'; // Replace with the LinkedIn URL or profile ID you want to fecth

const getLinkedInProfile = async () => {
  const endpoint = `https://api.scrapin.io/enrichment/profile?apikey=${API_KEY}&linkedinUrl=${LINKEDIN_TARGET}`;

  try {
    const response = await axios.get(endpoint);
    console.log('Data:', response.data);
  } catch (error) {
    console.error('Error:', error);


And then you will have a JSON response structure like this (here with Bill Gates Linkedin URL as input):

  "success": true,
  "person": {
    "publicIdentifier": "williamhgates",
    "linkedInIdentifier": "ACoAAA8BYqEBCGLg_vT_ca6mMEqkpp9nVffJ3hc",
    "firstName": "Bill",
    "lastName": "Gates",
    "headline": "Co-chair, Bill & Melinda Gates Foundation",
    "location": "Seattle, Washington United States",
    "photoUrl": "https://media.licdn.com/dms/image/xxxxxxxxxx",
    "creationDate": {
      "month": 5,
      "year": 2013
    "followerCount": 34903132,
    "connectionCount": 9,
    "positions": {
      "positionsCount": 3,
      "positionHistory": [
          "startEndDate": {
            "start": {
              "year": 2000
          "title": "Co-chair",
          "companyName": "Bill & Melinda Gates Foundation",
          "companyLogo": "https://media.licdn.com/dms/image/xxxxxxxxxxxx",
          "linkedInUrl": "https://www.linkedin.com/company/8736/"
          "startEndDate": {
            "start": {
              "year": 2015
          "title": "Founder",
          "companyName": "Breakthrough Energy ",
          "companyLogo": "https://media.licdn.com/dms/image/xxxxxxxxxx",
          "linkedInUrl": "https://www.linkedin.com/company/19141006/"
          "startEndDate": {
            "start": {
              "year": 1975
          "title": "Co-founder",
          "companyName": "Microsoft",
          "companyLogo": "https://media.licdn.com/dms/image/xxxxxxxxx",
          "linkedInUrl": "https://www.linkedin.com/company/1035/"
    "schools": {
      "educationsCount": 2,
      "educationHistory": [
          "startEndDate": {
            "start": {
              "year": 1973
            "end": {
              "year": 1975
          "schoolName": "Harvard University",
          "schoolLogo": "https://media.licdn.com/dms/image/xxxxxxxxx",
          "linkedInUrl": "https://www.linkedin.com/company/1646/"
          "schoolName": "Lakeside School",
          "schoolLogo": "https://media.licdn.com/dms/image/xxxxxxxxxx",
          "linkedInUrl": "https://www.linkedin.com/company/30288/"
    "summary": "Co-chair of the Bill & Melinda Gates Foundation. Founder of Breakthrough Energy. Co-founder of Microsoft. Voracious reader. Avid traveler. Active blogger.",
    "skills": [
  "company": {
    "websiteUrl": "https://www.gatesfoundation.org/about/careers",
    "name": "Bill & Melinda Gates Foundation",
    "logo": "https://media.licdn.com/dms/image/xxxxxxxxx",
    "employeeCount": 3509,
    "description": "We are optimists on a mission to create a world where every person has the chance to live a healthy, productive life. \n\nIn developing countries, the Bill and Melinda Gates Foundation focuses on improving people’s health and giving them the chance to lift themselves out of hunger and extreme poverty. In the United States, it seeks to ensure that all people—especially those with the fewest resources—have access to the opportunities they need to succeed in school and life. ",
    "tagline": "We are a nonprofit organization fighting poverty, disease, and inequity around the world.",
    "specialities": [
      "Global Health",
      "Global Development",
      "US Education",
      "Gender Equality"
    "headquarter": {
      "country": "US",
      "geographicArea": "WA",
      "city": "Seattle",
      "postalCode": "98109"
    "industry": "Non-profit Organizations",
    "universalName": "bill-&-melinda-gates-foundation",
    "linkedinUrl": "https://www.linkedin.com/company/bill-&-melinda-gates-foundation/",
    "linkedinId": "8736"
  "credits_left": 98950,
  "rate_limit_left": 19748

  • Can be integrated into software
  • Stable (Support 24/7)
  • Scalable (No volume limitation)
  • Cookieless & secure (No LinkedIn Account authentication required)
  • Data is always up-to-date (Real-time data scraping)
  • 100% legal compliance (GDPR and CCPA compliant)
  • Paid API (but free trial available)

LinkedIn Scraping: Limitation and Legacy

LinkedIn has limited the number of profiles you can view per day. This number depends on the type of your account. LinkedIn allows viewing 80 profiles per day with one free LinkedIn account. This limit extends to 150 profiles per day if you are using a LinkedIn sales navigator account. In addition, you can extract up to 100 pages or posts per day.

These are referred to as the safe “Rate Limits” for LindekIn data scraping. Hence, if you respect these limits, you can prevent yourself from getting hit by LinkedIn’s algorithm. If you don’t comply, LinkedIn is likely to block your account due to unauthorized data extraction activity.

Besides abiding by these “Rate Limits”, it’s also essential to stay away from unethical scraping. You should never invade a person’s privacy or indulge in malicious activities while scraping data. Therefore, always make sure to use scraping tools that respect ethical standards.

However, ScrapIn offers a powerful advantage in this scenario. With ScrapIn, there's no need to have a LinkedIn account, which means you can bypass the platform's viewing and extraction limits entirely. This API provides unlimited usage, allowing you to access a vast amount of data that would otherwise be unattainable due to LinkedIn's restrictions.

Furthermore, the risk of having an account banned for unauthorized data extraction is nullified when using ScrapIn. Since you're not using a LinkedIn account to scrape data, you won't face the potential penalties that come with exceeding LinkedIn's rate limits or being detected by its anti-scraping measures.

In addition to these benefits, ScrapIn maintains a commitment to ethical data scraping practices. It's designed to respect user privacy and to operate within legal parameters, ensuring that while you're able to access the data you need, you're also not engaging in unethical or intrusive activities. This commitment to ethical standards means that users can leverage the power of ScrapIn with the confidence that they are conducting their data gathering responsibly.

Final Thoughts

To conclude, scraping data from LinkedIn tends to offer valuable data and insights that you can use to create leads and recruit professionals. So, whether you choose a LinkedIn scraper API or scrape a LinkedIn profile manually, it’s critical to collect and analyze the data responsibly. By using the right tools and techniques, you can surely unlock the true potential of LinkedIn.

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