29 January, 2025
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.
While doing so, you don’t even need to use your account or LinkedIn API. 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. Web scraping has become a key tool for business intelligence (BI), empowering companies across industries to make data-driven decisions. LI Prospect Finder can significantly simplify scraping LinkedIn data for your outreach efforts. Despite being super fast and easy to use, the tool collects leads across the platform and supports automatic bulk data extraction.
Whether you’re looking to automate outreach on Twitter, Facebook, Instagram, or even Google Maps, PhantomBuster has got you covered. PhantomBuster is a powerful tool that can take your LinkedIn prospecting game to a whole new level. LinkedIn events are a great source of leads as you can see people who are interested in a particular topic. Additionally, LinkedIn scraping allows you to identify key decision-makers within a company, focusing your efforts on those who have the power to make a purchase. With this data, you can create personalized messaging that speaks directly to your ideal prospects’ needs and pain points. If you don’t, you can still hire a freelancer to build a custom LinkedIn scraper for your needs.
It offers unparalleled access to a vast database of professional profiles, company information, and job market insights. Brightdata has a cloud-based LinkedIn profile scraping service that lets you scrape LinkedIn profiles, searches, jobs and more without you having to use your LinkedIn account. Moving away from singular developer solutions, we are now talking large-scale.
This phantom will automatically visit the LinkedIn profiles and extract every piece of data that is publicly available. 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. This step involves visiting the relevant profiles and viewing the details like education, former job titles, experience, and connections.
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. Each of these LinkedIn scrapers are categorized and are weighed based on their price and free version availability. Unlike simpler tools, this method provides flexibility and scalability, allowing you to scrape hundreds of thousands of profiles if needed. If you’re a developer or someone who’s comfortable working with APIs, the ZenRows API offers a powerful way to scrape LinkedIn data.
One of Octoparse’s biggest advantages for LinkedIn scraping is its library of pre-built task templates. And if you’re a code junkie, Bright Data has got your back with their Scraper API and code templates for popular websites. Once the recruiter has compiled a list of potential candidates, they can use LinkedIn’s messaging feature to reach out to them and measure their interest in the position. This is really good data as if someone follows a competitor on LinkedIn, you can be pretty sure that they will be interested in your products or services.
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.
Linked Helper 2 is a LinkedIn automation tool with a powerful data-scraping feature. It is designed to help individuals and businesses automate their LinkedIn outreach and lead-generation efforts. Octopus CRM is an excellent tool for businesses, sales teams, and marketers looking for reliable data extraction software that also comes with LinkedIn automation features.
ZenRows is perfect if you need a high degree of control and customization. It scales beautifully, allowing you to gather massive amounts of data quickly. And if you’re a tech savvy developer, you can jump ahead and learn how to scrape LinkedIn as a developer here.
While you can use different scraping tools that provide valuable insights, it’s important to conduct job scraping responsibly and in accordance with LinkedIn’s policies. One effective approach is to use a web scraping tool to collect data on competitors’ job titles, skills, and educational backgrounds. Dripify is a LinkedIn automation tool designed to help businesses grow by automating their LinkedIn outreach. It allows users to send personalized messages, connection requests, and follow-ups to their LinkedIn contacts. Scrapin.io’s LinkedIn Scraper API provides an intuitive LinkedIn scraper suited for marketers, recruiters, and researchers. The platform simplifies data collection with a browser-based interface and allows the export of structured data, such as contact details, education, and professional experience.
The safest and most efficient way to connect your account to this extension is by using a session cookie. 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. Customize the company URLs and date ranges to retrieve posts from specific company pages. Discover all posts authored or interacted with by a specific LinkedIn profile.
One aspect that needs improvement is that I’ve tried to reach out to the company for more options, but it’s too difficult because they don’t even appear on LinkedIn. This tool’s main goal is to automate sending LinkedIn messages and connection requests, but it can also export LinkedIn searches. Linked Helper is one of the oldest LinkedIn automation tools on the market.
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. It speeds up the profile extraction process, making the entire collection smoother and more informative for decision-making. Also, the customizable data solution meets the particular needs of businesses, and it has an intuitive interface that is accessible to less technical teams as well. If you’re tired of sifting through endless lists of scraping tools with no clear winner.
To get the HTML content, you use Playwright’s evaluation method and then parse it with Beautiful Soup to find the specific elements and print the extracted information. You leverage Playwright’s asynchronous features by defining an async function called main(), and you start the script’s execution with asyncio.run(main()). In this article, we are going to unfold the simplest and more efficient ways to export leads from LinkedIn Sales Navigator. Now click “Export with Evaboot”, give a name to your export, and click on export leads. 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.
This allows us to be systematically up to date in the information we deliver. Thus, the adoption of this technology will allow the business to take an informed, agile approach to connecting clients and prospects for success. This could very well enable businesses to outcompete others, make better decisions, and be at their productive best in an increasingly data-driven world. A suitable LinkedIn Scraper API extracts all this data in real time, offering an all-rounded view of any professional. LinkedIn can catch you if you’re scraping too much, like checking too many profiles real quick.
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.
You can then export the scraped data to your database or as a spreadsheet document, such as CSV or Excel. LeadCrush lets you quickly export leads and their email addresses from LinkedIn profiles and LinkedIn Sales Navigator to Google Sheets. And just like Lemlist, this tool is highly customizable, allowing you to specify your search criteria on a variety of parameters, such as location, industry, and more. This makes it an excellent tool for businesses looking to generate leads, build targeted email lists, or conduct market research.
The smart thing to do is to opt for a tool that automates the process. You don’t want to be stuck manually pulling or attempting to pull data from LinkedIn. It stands out (yes out of all these tools) for its versatility, depth of data, and developer-friendly features. For outreach campaigns, Waalaxy and Octopus CRM are designed with this primary function in mind. 30+ different options to choose from, no wonder you might feel overwhelmed! Now, let me break it down even further by highlighting key factors you should consider when selecting the right LinkedIn scraper.
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. 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.
In this guide, we have discussed the best way to scrape job postings in 2024. 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. Install PhantomBuster’s browser extension and connect to your LinkedIn.
You can categorize your contacts by industry, seniority, or location and, therefore, conduct more targeted marketing campaigns. Arguably, Customer Relationship Management (CRM) systems form the backbone of most businesses, helping them manage interactions with clients, leads, and partners. However, a CRM system is only as effective as the quality and relevance of the data it holds.