10 Best LinkedIn Scrapers: How to Scrape LinkedIn with Python

Last Updated: September 22, 2021

Jason

Jason

You can develop your own scraping bot for LinkedIn if you are a programmer or you can take the help of one of the best LinkedIn scrapers.
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If you want to scrape LinkedIn with a LinkedIn scraper, then this article is for you.

Here, you can find out how to do it and about the best scrapers for LinkedIn out there recommended by experts.

This list will save you time, energy, and money.

LinkedIn is a social networking website that caters to firms and business professionals.

The platform allows career people to connect, network, support, and source other professionals. It has had over 65 million users since it was founded in 2002.

LinkedIn is great for hosting and job posting. It has huge data, including profile details of businesses and their employees.

This includes their usernames, websites, skills, email addresses, industries, and much more.

Plus, the site has huge data related to jobs that the common public can access. This data on the profiles of professionals and businesses is required by researchers and companies.

Manually scraping the platform can take days, which means you have to open and look through every single profile.

And, even though this data is publicly available, you cannot access it freely. LinkedIn’s API is not very extensive, which is why data analysts cannot get the type of data they are looking for.

Thus, if you want to get a lot of data free of cost, you only have the option of scraping LinkedIn pages, which is done through automation or bots, called LinkedIn Scrapers.

However, the main question here is if LinkedIn allows using automatic bots and web scraping.

Plus, how can you do it and which are the top LinkedIn scrapers available.

LinkedIn Scraping – An Overview

LinkedIn Scraping – An Overview

It’s not so simple to scrape LinkedIn. If you think it is, then just give it a try and you will know.

In fact, LinkedIn is one of the most complex sites to scrape. It uses strict and smart anti-bot programs in order to avoid scraping.

The company also has a legal division to control whoever tries to do it. There has been a lot of scraping on LinkedIn and the company wants to end it.

One of the most famous anti-scraping court cases was between HiQ Labs and LinkedIn.

LinkedIn initiated this lawsuit; however, it lost the case. This lawsuit asserts that the web scraping practice is lawful based on a few factors.

Nevertheless, you should get in touch with a lawyer before you scrape LinkedIn since it can still be against the law.

And, even if it’s considered legal, it’s not an ethical and moral practice.

But, some companies and researchers require this data, due to which they have to ignore the moral and ethical aspects of web scraping.

If you too want such information and don’t mind the negative aspects of web scraping, then you can read further.

Why Do People Scrape Linkedin?

Why Do People Scrape Linkedin

People scrape online platforms and websites in order to get information for different purposes, such as business intelligence, analysis, etc.

In the case of LinkedIn, people scrape it to get information on companies and employees.

For example, if you work as an executive in a firm and want to look for experts for your company on LinkedIn, then scraping the platform can help you.

This is because it is quite hard to scrape or go to every page on LinkedIn manually for copying the profile information.

However, by scraping LinkedIn via bots, you can get profile information on all potential workers in your industry who are on LinkedIn.

But, since web scraping involves bots, many social media sites, including LinkedIn, disapprove of it.

What Does LinkedIn Say About Scraping?

LinkedIn is one of the top social media sites when it comes to professional profiles. This is why it’s quite strict about its user data protection policy.

It does not allow using plugins, crawlers, bots, etc. to alter or scrape info on the platform.

This means that it is unlawful to scrape information on LinkedIn via a proxy.

When a new user registers on the site, they will find in the User Agreement that they cannot get involved in any scraping practices.

However, this is a matter of debate since everyone who scrapes information is not doing it for the wrong reasons.

As per the court in 2019, LinkedIn scraping was determined to be legal. This was when LinkedIn blocked HiQ for scraping the platform.

When scraping LinkedIn, bots can only download the information that is publicly accessible, that is, which other people can view.

But, even after the verdict, LinkedIn maintains its stand and condemns scraping.

This means if you’re caught scraping the platform, then your account will be restricted or shut down altogether.

Plus, you can be taken to court by LinkedIn as they have already done many times before.

This means if you plan to scrape LinkedIn, then you have to do so carefully to avoid getting caught since it is against their rules.

You can develop your own scraping bot for LinkedIn if you are a programmer or you can take the help of one of the best LinkedIn scrapers.

How to Scrape LinkedIn using Python and Selenium

How to Scrape LinkedIn using Python and Selenium

Scraping LinkedIn is pretty difficult and if you make even a single error, then you would be blocked immediately. It has a smart anti-bot system that identifies and rejects bot traffic.

Therefore, if you’re not a qualified bot developer, then you should employ a LinkedIn scraper, which you will find in the next section of this article.

But, if you can develop your own LinkedIn bot, then you can try doing so. This way you can also know how easy or hard it’s to avoid the anti-bot system of LinkedIn.

Python programmers must be aware that the combination of Beautiful Soup and requests would not be of any help here as they depend on AJAX, which can miss some data.

Other coders of programming languages must also know that they require frameworks or libraries that render JavaScript.

Requests will not be of any help in rendering and carrying out JavaScript, which is why you will require Selenium for it.

You can use proxies when taking the help of a LinkedIn scraping tool to avoid getting caught by LinkedIn.

Businesses, like HiQ, use such proxies. You can use residential proxies since the anti-spam program of LinkedIn is quite effective.

Residential proxies are great for scraping LinkedIn as they use a residential IP address, such as the one that is given by an ISP (Internet Service Provider).

This real IP address is not derived from data centers as the latter IP address does not point to any location.

This means the IP addresses used by residential proxies show a real location, which is in fact not your actual location.

You can stay anonymous this way without divulging your real IP address and getting banned by LinkedIn.

Furthermore, you have to imitate the way humans surf online, along with using LinkedIn proxies, in order to ensure the LinkedIn anti-bot system grants you access.

Then, you can obtain publicly accessible info on LinkedIn. You can see an example of a code below for scraping job info.

This is a basic script without proxies, HTML tags, and necessary exemption-handling codes. The code just proves the scraping concept.

From selenium import webdriver

class LinkedInScraper:

def __init__(self):
        self.job_list = []
        chrome_options = webdriver.ChromeOptions()
        chrome_options.add_argument("--headless")
        self.chrome = webdriver.Chrome(chrome_options=chrome_options)

    def scrape_jobs(self):
        self.chrome.get("https://www.linkedin.com/")
        self.chrome.find_element_by_class_name("intent-module__button").click()
        jobs = self.chrome.find_element_by_class_name("jobs-
search__results-list").find_elements_by_tag_name("li")
        for job in jobs:
            d = job.find_element_by_class_name("result-card__contents")
            title = d.find_element_by_tag_name("h3").text
            company = d.find_element_by_tag_name("h4").text
            s = d.find_element_by_class_name("result-card__meta")
            location = s.find_element_by_tag_name("span").text
            time_stamp = s.find_element_by_tag_name("time").text
            job_detials = {"title": title,
                           "company": company,
                           "location": location,
                           "time": time_stamp}
            self.job_list.append(job_detials)

        return self.job_list

x = LinkedInScraper()
x.scrape_jobs()

Best LinkedIn Scrapers

LinkedIn is a popular platform for attaining research information. This is why there are a lot of great LinkedIn scrapers out there for extracting info from the platform.

But, everyone is not the same. You must choose the one that is worth your money and time.

This is why we have made a list of the top scrapers for LinkedIn that are reliable and trustworthy.

Phantombuster

A Review of Phantombuster and its Features

Being able to scrape LinkedIn profiles is invaluable to your business and the growth of your brand, and Phantombuster understands this.

They understand the kind of scraping tools that you need so that you can remain both safe and anonymous and successful at gleaning the type of data that you need.

They believe that they are good for helping their customers with scraping all available data, even if this includes email addresses.

If you need to talk to them about anything at any point, you can communicate directly with them on the website, and we think that being able to get started with them for free is a nice tough.

See what their tutorial is all about too so that you can make the most of their services.

Octoparse

Octoparse

Octoparse is one of the most intelligent and best web scraping tools, including LinkedIn.

You can extract the info in only three steps, i.e., finding the data, selecting it, and then exporting it. It can help you convert LinkedIn web pages into an organized database.

There are several exporting options, including SQLServer, MySQL, JSN, Excel, XLSX, and CSV.

Plus, you can store the data on a different platform with the help of API keys.

Octoparse has several features that a good internet scraper has. These encompass advanced online scraping characteristics, like a cloud-based platform, scheduled scraping, proxy rotation, etc.

Plus, you don’t require a proxy with this scraper since it can switch IP addresses.

You just have to pay a small price of $75 monthly to get this scraper. It also offers a 14-day trial period with some restrictions.

This LinkedIn scraper supports both desktop and cloud.

FollowingLike

FollowingLike - best linkedin scraper

FollowingLike is not only a scraping tool for LinkedIn, but it is also a social media management program for Reddit, Pinterest, Instagram, Facebook, Tumblr, LinkedIn, etc.

It allows you to search LinkedIn by skills, likes, emails, posts, educational institutions, businesses, and so on.

You can also export the search outcomes. The tool lets you employ several LinkedIn accounts for scraping information on LinkedIn with its Account Manager feature.

You can get account statistics as well.

Plus, FollowingLink has native proxy support.

ScrapeStorm

ScrapeStorm

ScrapeStorm is another intelligent scraper for LinkedIn.

Developed by a former crawler team of Google, ScrapeStorm is a powerful, enterprise-class scraping tool.

It uses an automatic data point identification system for detecting and scraping the info you want.

You can also use its point and click interface for scraping info wherein the automatic detection system fails to work.

It supports several data export methods, including Google Sheets, MySQL, JSON, Excel, CSV, TXT, and more, while simplifying the LinkedIn scraping procedure.

You just have to properly install it. The scraper starts at a price of $49.99 for a month.

You can also check out its starter plan. It is free of cost but comes with some restrictions. The scraper supports the desktop platform.

Helium Scraper

Helium Scraper

Helium Scraper is a LinkedIn data scraping desktop app, which helps you scrape all types of data on LinkedIn, such as company profiles, individual profiles, job posting data, etc.

It makes extracting information from LinkedIn simple as it has an intuitive interface.

The scraper has a point and click interface, which is helpful in training.

You can quickly extract complex info up to 140 terabytes (SQLite can hold this much data) using this tool without any hassles.

There are several data output formats available, including SQLite, JSON, XML, Excel, and CSV. It starts from $99 for a single-user license.

You can also try its completely functional 10-day free trial option. The tool supports the desktop platform. 

ParseHub

ParseHub

ParseHub is a visual web scraper that is designed for data analysts to take out info from internet pages without requiring them to code.

The scraper’s desktop application is offered free of cost with some restrictions, which may not be so significant for you.

This tool is quite powerful and flexible. However, you have set the proxies while using its desktop app since it does not rotate IP addresses.

The paid option starts at $149 for a month.

You can get the data in JSON and Excel formats and it supports both desktop and cloud platforms.

Proxycrawl LinkedIn Scraper

Proxycrawl Facebook Scraper

Proxycrawl has several scrapers, including a scraper for LinkedIn, in its scraping API (Application Programming Interface) inventory.

However, it requires some coding skills as opposed to other web scrapers mentioned above.

It is designed for developers who don’t want to work with Captchas and proxy management.

The tool allows you to scrape info like user profile details, employee data, description of a firm, and so on. It is easy to use this software, similar to sending API requests.

Proxycrawl is offered at $29/month for 50,000 credits. You can use it free of cost for the initial 1000 requests.

The supported platforms include the cloud, which can be accessed through API.

You can get the data in JSON format.

LIX – LinkedIn search eXporter 

LIX – LinkedIn search eXporter 

LIX is a LinkedIn data extractor and scraper that can be used on any browser and device.

This online browser extension tool does not require you to download or install it. It is used by more than 11,000 users to scrape more than 11,000 search results.

You just have to start a search and then you can automatically export all the search outcomes. It allows you to download hundreds of search outcomes.

LIX exports search results to 10x your pipeline and has an automated profile viewer and CV parsing option.

You can export email addresses from profiles on LinkedIn in a comma-separated file for mail merge.

Plus, you can export company data in Excel and CSV file formats.

You can directly import to your existing recruitment program as well. The tool is priced at $40 per month.

Web Scrapper

Web Scrapper

Web Scrapper is a popular web scraping extension that has over 350,000 users. It allows you to obtain info from any platform or site, including LinkedIn.

The tool is easy to use with its point and click interface. You only have to install the extension on Google Chrome and go to LinkedIn in order to scrape it.

Even though you need to modify it a bit in order to get the desired results, it can detect several data types, including web links, texts, and special webpage codings like JavaScript, PHP, and Python.

This scraper supports the cloud and its supported data output formats include XLSX, CSV, JSON, and sitemaps.

It is priced as per the credits, which can range from 100,000 to 2,000,000 pages.

Scrab.in 

Scrab.in

Scrab.in is great for outbound marketing, account management, and lead generation on LinkedIn.

It can also be used for automating online interactions, including directly messaging selected profiles on LinkedIn and visiting a social media platform.

You can choose from a variety of filters to get leads on LinkedIn.

The search results can be downloaded in a CSV file or exported to a third-party CRM.

You can download and set up its extension on the Google Chrome browser or use it as a web application.

Its price is based on your visits and scans.

Conclusion

As said before, it is not easy to scrape LinkedIn.

But, if you still want to do it due to any reason, such as for attaining vital business info, you cannot use a simple web scraping tool as it is more likely to be identified and as a result, you will be blocked by LinkedIn.

Such information is useful in several industries to end-users.

Therefore, you must use LinkedIn scrapers created by professionals, such as the ones mentioned in this article.

Ensure that you use these LinkedIn scraping tools for good reasons.

We do not support using scrapers and proxies for illicit activities.

Plus, LinkedIn prohibits scraping so you could get in trouble if they catch you.

Written by Jason

Hi! I’m the editor at EarthWeb. I have a deep interest in technology and business. I also enjoy testing products out. Contact me to be featured!