How to Scrape LinkedIn Using a LinkedIn Scraper: 5 methods

In this example, I’ve searched for CEOs of small companies (1-10 employees) in the Bay Area who posted on LinkedIn in the last 90 days. It’ll rotate IPs after every request (or as needed) and choose the right Headers based on years of statistical analysis and machine learning. 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. They have their plans drawn out on their website but to get the pricing details, you will have to contact them.

Best LinkedIn Scraper APIs in 2025

You just specify the job titles and companies you want to target and boom – you’ve got a fresh batch of ultra-relevant leads to nurture. Simply put, you set up automation for LinkedIn, Twitter, Google, and other platforms to automatically extract data, surface new leads, and reach out to them. Waalaxy supercharges your lead gen with features like automated connection requests and follow-up sequences tailored to your ideal prospects. Waalaxy is a LinkedIn automation tool that takes the pain out of lead generation and prospecting on the platform. With its dedicated LinkedIn Scraper API, you can scrape profiles, company pages, job listings, and more, all while getting the data served up in a neat JSON format. Customizing scrapers to your specific needs is a breeze, whether you want to configure proxies, capture browser network calls, or extract data from lazy-loading UI elements.

Perform Targeted Searches

The suites of APIs and bulk delivery use advanced algorithms to extract valuable data from around the web, including LinkedIn. With valuable data at your fingertips, you can easily create targeted marketing campaigns and connect with potential customers. Helium Scraper is a versatile and powerful tool to extract data from any website, including LinkedIn. It allows you to scrape LinkedIn profiles based on many filters, such as keywords, location, industry, and more.

Chrome Extensions Based LinkedIn Scrapers:

A LinkedIn scraper is a useful tool for recruiters, salespeople, and marketers who want to gather data on potential clients or employees. It helps you save time and effort by automating the data extraction process. Bright Data is a data collection platform that provides businesses and individuals with various web scraping and proxy services. They have a dedicated web scraper for LinkedIn that extracts and parses LinkedIn public data. Bright Data offers LinkedIn datasets tailored to specific LinkedIn use cases.

Enriching CRM with 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. As industries continue to rely on data-driven strategies, ethical and responsible web scraping will play a critical role in ensuring businesses stay competitive. Companies that prioritize compliance and innovation will be better positioned to harness the full potential of web scraping, gaining valuable insights to drive growth.

Frequently Asked Questions about LinkedIn Data Scraping

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. Xverum provides paid access to its massive-scale open web data with an aim to empower ML and SaaS platforms.

Data Collection Approaches

Its data scraping capabilities, combined with its outreach automation features, make it a powerful tool for B2B sales professionals, recruiters, and marketers. Apify is an online platform that helps developers build, deploy, and publish scraping, data extraction, and web automation tools. Developers can create their own scraping agents, called actors, and make them available to the community. Some actors serve as LinkedIn web scraping tools, such as the Linkedin Companies & Profiles Bulk Scraper actor.

Can I Connect LinkedIn Scrapers to my CRM?

Leverage the data you received from LinkedIn scraping to build outreach campaigns and reinforce your sales strategy. This extension captures details such as first name, company name, and LinkedIn URL and then adds them to your selected Lemlist campaign. You can also add leads individually to Lemlist, including extra details from their LinkedIn profiles, like job titles, certifications, industries, and company information.

Step 2: Set up your LinkedIn data scraping project directory

On the other hand, if you are a non-technical user, a cloud-based LinkedIn automation platform with scraping capabilities may be a better option. You’ll use requests to fetch the page’s HTML content and BeautifulSoup to parse and extract the relevant information. Dive into informative articles, tips, and tutorials on web data extraction. 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. Besides, this LinkedIn automation tool allows you to collect unlimited LinkedIn information.

Log in into your LinkedIn account

Done right, ethical web scraping not only avoids legal risks but also builds trust and credibility, driving sustainable business growth. Transparency is key—seek consent from website owners whenever possible and offer ways for them to opt out of data usage. Data has become the cornerstone of modern business strategy, helping companies stay ahead in competitive industries. Among the many ways to gather data, web scraping has emerged as an indispensable tool. Besides, CRM enrichment with information from LinkedIn lets one segment their audience much better.

They use proxy servers to access LinkedIn in order to extract data, distributing requests across several IP addresses or LinkedIn profiles. 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.

You can access all publicly data available on Person LinkedIn Profiles such as Job Title, Position History, Educational background and so on. You can also get all Company LinkedIn Profile data such as Industry, Employees, Website, Location … Plus, I’ve included a JS script you can use for scraping LinkedIn and automating your activity.

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. 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. 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.

Fetch a person’s LinkedIn profile data using their public profile URL or unique identifier. Those who are up for the challenge, I present to you a list of some projects that I deem are perfect for LinkedIn scraping. 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. 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.

Linkedin Profile Scraper

Here, you’re using requests to access the LinkedIn Learning page and BeautifulSoup to parse it. You’re searching for li elements with the class results-list__item, which contains the course listings. For each course, you extract and print the title, creator, duration, and link.

• Update the job URLs to collect information about specific job listings.
• It is LEGAL to scrape publicly available data in LinkedIn, if you are doing it ethically.
• This LinkedIn API is another Python library on GitHub for developers seeking programmatic access to LinkedIn data.
• These are ready-to-use tools usually built by independent developers and come with varying levels of documentation and community support.
• Plus, you’ll identify the people working at your competitor companies.

They are aware that all recruiters and sales need to scrape their data. “Outbound Data without all the inputs”It’s incredibly helpful to be able to prospect directly from LinkedIn since most of my clients are fairly active on there. This way I don’t LinkedIn Scraper have to work through a separate data enrichment tool’s UI – I can work directly from LinkedIn. It’s also really helpful that we can update certain fields to allow us to know who is working on what account and contacts and what stage they are in.

• Segment your audience, personalize your email campaigns, or adjust your LinkedIn messaging to resonate more effectively with potential clients.
• LinkedIn scraping helps automate lead generation and improve prospect targeting.
• For instance, recruiters might use it to find potential candidates, sales teams can identify potential leads, and researchers can use it for labor market analysis.
• Whether you’re targeting individuals or looking to gather company data, scraping LinkedIn can be an absolute goldmine.
• The ability to gather contact details from hundreds of leads automatically can be a game-changer for sales, marketing, and recruitment teams.
• Install PhantomBuster’s browser extension and connect to your LinkedIn.
• Apify is another cool online platform that makes it super easy for developers to create and run scraping tools.
• If you don’t want to go through the hassle of scraping LinkedIn yourself, you can also buy a dataset of LinkedIn profiles directly from Brightdata starting at 2.5 per 1K records.

One of the key advantages of using Lemlist as a LinkedIn scraping tool is its user-friendly interface. The tool is incredibly easy to use, even for users who have no experience with web scraping or data extraction. Plus, Lemlist is highly customizable, allowing you to tailor your scraping parameters to meet your specific needs. LinkedIn scraping tools automates the process of extracting data from LinkedIn profiles. This means you no longer have to spend hours manually copying and pasting data from the social networking platform. In this guide, you took a look at some of the best LinkedIn web scraping tools to extract data from the popular social networking site.

You can export this data directly into spreadsheets or integrate it with your favorite tools and CRMs. Bright Data’s LinkedIn Scraper is the ultimate data-mining machine for extracting every juicy bit of public data from LinkedIn. What would take weeks of manual labor can be done in minutes by a LinkedIn scraper, saving you ridiculous amounts of time and effort. Extracting insights and contact details from endless people and companies on LinkedIn is one tedious, mind-numbing task.