LinkedIn Scraper

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.

The 26 Best LinkedIn Scrapers in 2025 [Free & Paid]

Dripify lets you build automated drip campaigns (or sales funnels) to nurture and engage your LinkedIn prospects on autopilot. Proxycurl is a powerful API platform to gives you programmatic access to fresh and comprehensive public data from LinkedIn. More than just a simple scraper, it’s a one-stop shop for streamlining your entire LinkedIn outreach process from start to finish. You can easily customize them or build your scraper from scratch using Apify’s user-friendly tools. With the right LinkedIn scraper, you can streamline your workflow, increase productivity, and ultimately see better results from your lead generation campaigns.

Octopus CRM

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.

More than Just a Scraping Tool

Dripify is the best LinkedIn scraper that helps users extract data and insights from the world’s largest professional networking platform. With Dripify, you can easily automate data extraction from LinkedIn and save time while obtaining the valuable data you need. The top LinkedIn scraping tools will extract a wealth of data from LinkedIn profiles, such as job titles, company names, and education. You can then analyze this data to gain insights into your target audience on LinkedIn. 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.

Key Features of Dux-Soup

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.

Best LinkedIn Scraper Tools That No Recruiter Can Resist

Compare features, pricing, and reliability to find the perfect solution for your data needs. 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. 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.

Linkedin Sales Navigator Scraper

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.

Data Collection Approaches

LinkedIn data scraping can be a powerful tool for monitoring your competitors. When you scrape data from competitor profiles or pages on LinkedIn, you gain insights into their target audience and the types of content that engage them. Plus, you’ll identify the people working at your competitor companies. For example, you can use a scraper to extract data from LinkedIn profiles and then import that data into an email marketing or CRM tool. This allows you to send targeted email campaigns to your LinkedIn connections automatically.

Scrapingdog

You can identify high-potential candidates, particularly those open to new opportunities or with specific skill sets. TalentNeuron is another workforce analytics platform that offers insights into labor market trends, talent availability, and workforce planning. It combines LinkedIn data with other proprietary sources to provide global workforce intelligence. Browser extension LinkedIn scrapers are an ideal option if you’re working alone or in a small team. They’re lightweight, easy to set up, require no advanced technical skills, and deliver quick results. LinkScrape is another open source LinkedIn scraper, designed to scrape employee names from LinkedIn using company search results.

How to choose a LinkedIn scraper

The tool uses advanced algorithms and machine learning techniques to extract data from LinkedIn, ensuring that the data obtained is accurate and up-to-date. Oxylabs allows you to export scraped data in multiple formats, including Excel, Google Sheets, CSV, MySQL, TEXT, and JSON. For example, it lets you set up automated LinkedIn messages and follow-up sequences. This allows you to reach your potential leads automatically and generate more sales. For example, you can search for professionals in a specific industry, location, or job function. This helps you find the right people to connect with on LinkedIn and grow your network.

For a straightforward, user-friendly experience, Waalaxy, Lemlist and ParseHub are designed with simplicity in mind. SeekOut combines LinkedIn data with other sources to offer a robust platform for diversity hiring, talent sourcing, and analytics. It is an AI powered talent search engine built to help sources find and hire the right talent, fast.

LinkedIn-API by tomquirk

Headspace takes science-backed meditation and mindfulness tools to improve your mental health. At Squeeze Growth, I write seriously detailed and unadulterated SaaS reviews for businesses and entrepreneurs. They’ve got these cutting-edge data discovery and update systems that ensure a constant flow of new data. But that’s not all – they’ve also got data on 92 million companies, covering the nitty-gritty like descriptions, locations, industries, and employee counts. It basically acts as your virtual sales assistant, handling all the repetitive outreach tasks so you can focus on the human side of selling. With TexAu’s deep integrations, you can sync all the lead info straight into your CRM and even trigger entire outbound campaigns.

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.

Fast Linkedin Data Extraction

It’s a really cheap Chrome Extension tool and it’s used by over 40,000 users worldwide. LeadIQ is a prospecting platform for SaaS sales teams to book more meetings through better prospecting. Wiza is used by over 30,000+ businesses to create prospect lists from LinkedIn. Findymail turns Sales Navigator searches into an email list in one click.

If not, there are a lot of free plans or credits offered by many tools like Octoparse, Import.io, and Proxycurl. You can get to scraping straight away, although the service might be limited and might need a paid subscription to fully unlock all the features. Bright Data is kind of unique, in the sense, it does not scrape data for you but provides proxies for your own scrapers. Its no-code data collector even allows users to bypass restrictions like CAPTCHAs and IP bans. In 2022, they launched a new line of dataset products, with variety that rivals or even exceeds that of Coresignal’s datasets.

In addition, scraped data can help businesses keep up with their competitors, identify weaknesses, and refine strategies. Regular LinkedIn scraping keeps companies agile, well-informed, and ready to adapt to market changes. LinkedIn uses anti-scraping technologies to protect user privacy and prevent unauthorized data extraction. Violating these measures can lead to severe account restrictions or even bans.

Manual Scraping

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.

Scraped data lets you focus on people or companies that better match your ideal customer profile. Before you scrape LinkedIn profiles, ensure your tool of choice provides safe operation on the platform. It is essential to save your business data and avoid LinkedIn restrictions. The best part is that Snov.io LI Prospect Finder supports bulk search, which makes LinkedIn scraping even more effective and time-saving. You can also collect leads from Sales Navigator searches for a more advanced approach.

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.

LinkedIn Scraper

As the campaign runs, Dux-Soup removes prospects who respond from the outreach sequence, adding them to your lead pipeline for personal follow-up instead. Each user gets a unique IP address too, ensuring your automated actions stay under LinkedIn’s radar. Plus, with a range of APIs and integrations, piping your fresh LinkedIn data into apps, BI tools, and workflows is a breeze. Their state-of-the-art tech uses machine learning to automate scraping in a human-like way, navigating even the most dynamic, JavaScript-heavy sites without raising red flags. Their API lets you enrich profiles with additional data points like personal email addresses, phone numbers, and estimated salary ranges.

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