LinkedIn Scraper API Tool For Profile Data Collection

LaGrowthMachine is a sales automation tool that helps sales teams and recruiters benefit from the most advanced growth techniques without technical skills. This helps users create unique insights that usually take hours of human work. “User friendly linkedin scraper”Scrupp.com is the most amazing project management tool I have ever used.

Step 2: Set up your LinkedIn data scraping project directory

The team behind this tool has designed it to help businesses and organizations build lead lists in seconds without much technical know-how. Derrick allows you to use an existing database or extract data from LinkedIn Sales Navigator to build a more recent and targeted database. Using La Growth Machine as a LinkedIn URL scraper also means you’ll get actionable insights and reach your leads at the right time and place. That’s because the tool extracts data from LinkedIn profiles and provides analysis and insights into the collected data. This means you can better understand your target audience, such as their interests and needs.

Octopus 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.

Method 1: Manual LinkedIn Scraping

You can filter your search by location, industry, job title, or even years of experience. Businesses can, therefore, cut to the chase without the bloat of superfluous information by personalizing. As a user, this tool gives you access to real-time and well-structured information. 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. Phantombuster can scrape data from a lot of different social media platforms such as LinkedIn, Google, Twitter (apparently it’s called X now), Instagram and more. Most tools implement techniques like random delays or IP rotation to reduce detection risk.

• On it, you can submit a LinkedIn profile or a desired list of profile URLs.
• It allows users to send personalized invites, messages, and InMails and also supports email outreach.
• Unlike tools like LinkScrape or LinkedIn-API by TomQuirk, TufayelLUS Scraper excels at extracting specific skill details and endorsements.
• Using all this additional info, you can narrow down your prospect lists to the ones closely resembling your ideal customer profile.
• It is an AI powered talent search engine built to help sources find and hire the right talent, fast.
• This allows users to safely and effectively automate their LinkedIn lead generation and outreach efforts without risking their LinkedIn account suspension or termination.

Which LinkedIn data can you scrape?

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 LinkedIn Scraper 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.

Key Features of Waalaxy

• Collect prospects’ profiles using our LinkedIn scraping tool and keep all your leads in one place to focus on the right deals.
• Furthermore, the risk of having an account banned for unauthorized data extraction is nullified when using ScrapIn.
• One effective approach is to use a web scraping tool to collect data on competitors’ job titles, skills, and educational backgrounds.
• When adding new prospects’ profiles, you can choose the list of where to save them.
• 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.
• LinkedIn_Scraper is designed to automate the extraction of data from LinkedIn user and company profiles.
• 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.
• By using the right tools and techniques, you can surely unlock the true potential of LinkedIn.

You’d just need to set the profile URL, and Scrapingdog takes care of the rest. 🔍 Real-Time Data Scraping📊 Scrape large amounts of data easily.🌐 No slowdowns, runs smoothly.🤖 AI-Powered Parsing for Perfect Accuracy🔐 Keeps everything legal and ethical. So, if you want to find out more about someone’s professional background or skills on LinkedIn, this scraper can do that for you quickly and easily. ❌ Scraping large amounts of data can get expensive, even with pay-as-you-go. ✅ Bright Data follows GDPR and CCPA, ensuring ethical data collection. I often spent hours looking for contacts or job listings, but I ended up with messy notes and missed opportunities.

• Linked Helper 2 is a LinkedIn automation tool with a powerful data-scraping feature.
• The main difference between Evaboot and other tools compared in the article is that this platform requires a LinkedIn Sales Navigator subscription.
• Customize the API to meet your specific LinkedIn data extraction needs.
• 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.
• 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.
• Lyne leverages AI and Machine Learning to uncover information that the average sales rep couldn’t find, providing users with a competitive edge.
• Think of it as a robotic bouncer sifting through profiles, posts, job listings, comments, positions, job titles—you name it—to grab whatever intel you need.
• Dive into the world of LinkedIn APIs, official and third-party alternatives, and understand how to access and utilize LinkedIn profile data through Python code examples.

Scrape Job Listings

The data collected by the LinkedIn scraper enables a more personalized approach to the prospects. With enriched profiles in CRM, teams can tailor their communication strategies more precisely and increase engagement and conversion rates. 88% of marketers say that using automation tools significantly helps them achieve their most important goals. Besides, insights from scraping can reduce the time spent on leads that don’t match, streamline sales workflow, and ultimately increase the chances of closing deals. Dux-Soup is a robust LinkedIn automation tool that takes the wrath out of prospecting and lead generation. Dripify is a cloud-based software created for sales teams, marketers, recruiters – anyone who wants to streamline and automate their LinkedIn prospecting efforts.

Step 8: Scrape LinkedIn job data

During this step, you can tell Phantom how many profiles it can process during each launch. Once you have created an Evaboot account, click on “Get Chrome Extension”. After you have downloaded the Evaboot extension, just add it to Chrome. 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.

The Best Web Scraping APIs in 2025

You’re looking for div elements with the class content-hub-entities, which hold the article listings. For each article, you extract and print the title, description, and link. This code fetches job listings from a LinkedIn search page for frontend developer positions in the United States. With a considerable number of professionals joining every day, LinkedIn tends to serve as a vast and authentic resource for data collection.

Scraping LinkedIn in Python

Doing so will save you time and help you stay in touch with your network. Apify is another cool online platform that makes it super easy for developers to create and run scraping tools. One of the best things about it is that it offers 40 ready-made tools, called Actors, for scraping data from LinkedIn. Meet Alfred is a LinkedIn automation platform that also offers a LinkedIn scraper to extract data from user profiles and company pages. 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.

Step 4: Use the DevTool’s Network Tab to find the hidden API

Dripify lets you extract other important data such as the top skills, college or university names, mutual groups, and profile type of your target audiences. Plus, the tool lets you filter and sort the extracted data, making it easy to analyze and use in various applications. All the data is neatly pulled into a CSV file or directly sent to HubSpot for further use. This means you’re no longer manually scraping profiles and wasting time.

• Another useful feature of Meet Alfred is its ability to automatically send connection requests, messages, and follow-up messages to potential leads.
• Although the platform is mainly known for its excellent cold email software and outreach automation tools, Snov.io also offers features for effective LinkedIn scraping.
• “Great tool to organize your work and contact new leads”It has been a very good experience so far and has resulted in good deals.I like the friendly approach from all team.
• The approval process can take several weeks, and there is no guarantee you will be approved.
• TexAu is a cloud-based toolbox that’s all about eliminating the tedious grunt work of generating leads and getting your outreach on autopilot.
• It’s packed with powerful features to ensure fast, reliable, and uninterrupted scraping from challenging websites like LinkedIn.

Now that we have figured out what LinkedIn scraping is and how it can benefit your business, let me share some of the most efficient tools for this task. LinkedIn scraping lets companies identify the right individuals to connect with. A data-driven approach makes it more likely to build successful connections that will result in effective professional network expansion. Manually scraping LinkedIn company pages and professional profiles is a Sisyphean task. And if you’re job hunting or looking to hire, their 399 million job posting records are a goldmine for tracking company growth, talent acquisition trends, and the job market pulse.

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. Afterwards you could conduct outreach campaigns or export the scraped profiles which includes data points like name, phone number, and email. LinkedIn_Scraper is designed to automate the extraction of data from LinkedIn user and company profiles.

It’s got this clever proxy rotation system and headless browser support that helps you bypass those annoying blockades. But here’s the real kicker – Scrapingdog packs a serious punch when it comes to handling LinkedIn’s anti-scraping measures. Or go a step further and export it directly into your databases like MySQL, SQL Server, or Oracle with just a few clicks. And the built-in IP rotation keeps you anonymous by automatically cycling through different IP addresses, bypassing anti-scraping measures.

If you aim to scrape LinkedIn to add the data to your CRM, Surfe will be a handy tool. Expandi also provides educational resources to help users become more proficient in LinkedIn outreach. MeetAlfred (ex-Leonard) is a powerful multichannel cold outreach tool with many integrations. It also offers features to manage team efficiency and productivity, and i.

Data depth and freshness

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. Since the tool is primarily focused on employee enumeration, let’s go ahead and see how we can pull that data. Then, authenticate your LinkedIn account using email and password (use this responsibly to comply with LinkedIn’s terms of service). Let me show you how you can pull up a LinkedIn profile through this tool using Python.

• Basically, the top LinkedIn scraper API for you will depend on what you need and how much money you want to spend.
• It scrapes public LinkedIn data and works with third-party partners to get private data.
• Lemlist has a cockpit management feature, which serves as a single dashboard, where you can manage your team accounts.
• So, you’ve scraped LinkedIn profiles and collected the necessary data.
• This is particularly useful for recruiters and sales professionals who need to generate leads from LinkedIn quickly.
• The platform also has an AI robot that can work on your behalf and search for potential candidates that qualify for a job.
• This makes it an incredibly useful tool for businesses looking to generate leads, build targeted email lists, or conduct market research.
• 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.

However, no scraper guarantees 100% undetectability, and LinkedIn actively works to detect and block scraping. 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. 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.

Another key feature of ScrapIn is its ability to search for data in real time. If you want to scrape LinkedIn Sales Navigator, this extension can serve as a powerful LinkedIn scraping tool. 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.

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 final extension based LinkedIn scraper, Dux-Soup is a great shout if you’re looking to optimize your outreach, without using complex tools.

Even if you need to slurp up 10 million LinkedIn profiles, their architecture scales seamlessly while smart optimization keeps everything running at peak performance. But what really impresses me is how Nimble handles scraping at a massive scale. Their API handles all the heavy lifting, allowing you to pull rich professional data with just a few lines of code.

Data scraping, is not illegal per se, but LinkedIn’s Terms of Service prohibit unauthorized scraping, including job scraping. By analyzing competitors’ profiles, businesses can gain insight into their strengths and weaknesses, as well as their strategies for success. Browser-based scraping runs its automation by simulating clicks directly on your browser and replicating human behavior. The tool has features like image and GIF personalization, smart sequences, and integrations with other tools through Zapier, Integromat, or a custom-made webhook. The platform serves various use cases such as eCommerce, social media, SERP & SEO, Ad Tech, and market research.

Another useful feature of Meet Alfred is its ability to automatically send connection requests, messages, and follow-up messages to potential leads. This allows you to automate your LinkedIn outreach efforts and generate more leads with less effort. See the benchmark methodology for evaluating the best LinkedIn scraping tools. If you are looking for a complete solution that can be integrated into any programming language or HTTP client, a LinkedIn web scraping API will be perfect.

It’s a 7 year old product that’s used by over 300,000 users worldwide. It’s used by salespeople who want to grow their network on LinkedIn with their ideal customers and try to convince them to get on a sales call with them. For example, if you’re a sales team, then you need this because you have activity quotas to hit. You can use their API to scrape almost anything on LinkedIn without even using your LinkedIn account. You can get all the prospects data stored straight into SalesRobot and launch a mass-messaging campaign, reaching out to every single one. Using all this additional info, you can narrow down your prospect lists to the ones closely resembling your ideal customer profile.

In that case, you should consider moving to Cloud based LinkedIn scraper. Learn all about the LinkedIn API, with comprehensive Python code demos. Dive into the world of LinkedIn APIs, official and third-party alternatives, and understand how to access and utilize LinkedIn profile data through Python code examples.

In less than 10 minutes, I had 5,000 profiles of marketing managers, complete with names, positions, and company info, all in a neat CSV file. You get data such as names, job titles, and company info—all in one go. Zyte, a web scraping company, provides a general-purpose API equipped with data parsing capabilities, primarily catering to the e-commerce sector. Its dashboard features an API playground that automatically generates code snippets based on selected parameters. Time to find out which are the best tools for scraping data from LinkedIn based on the criteria presented earlier. The initial approach you used to scrape LinkedIn can face challenges, including pop-ups and reCAPTCHA, leading to potential code blockages.

Stop relying on personal connections to get more customers and start generating high-quality leads in next 60 mins like our 3200+ users do. Brightdata’s LinkedIn scraper is a part of its Web Scraping IDE, with pricing plans as listed below. This is very similar to LinkedIn Sales Navigator scraper, but instead of scraping Sales Navigator search results, it scrapes LinkedIn search. And finding the best LinkedIn scraping tool for your use case is a total head-scratcher. It will send us directly to the LinkedIn job search result page, where we can create a new search. For the sake of this example, let’s say that we’re trying to build a list of product management jobs in San Francisco.