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    The Best LinkedIn Scrapers: Top 10 Picks in 2025

    LinkedIn Scraper

    Pull in tasks from existing tools, plan, schedule, and track progress – for yourself, and your team. 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.

    LinkedIn Scraper

    Open-Source LinkedIn Scrapers

    Navigate the recruitment landscape efficiently using detailed LinkedIn data on candidates, skills, and career performance. Collect a wide range of LinkedIn data, from career history to current roles, in real-time. Ranking is in ascending order based on the lowest starting price, with the exception of the products of the article’s sponsors which are linked to their websites. Now, you can apply filters to further refine your choices and obtain specific data that meets your criteria, then click “Purchase options” to see how much it’ll cost. 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.

    Saved searches

    Businesses can use LinkedIn scraping to identify potential collaboration and growth opportunities. By collecting data on key decision-makers, industry leaders, and influential companies, businesses can reach out to those most relevant to their networking goals. Nimble is an AI-driven web scraping platform that lets you extract boatloads of public data from anywhere online, including LinkedIn profiles and company pages. 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.

    Step 10: Run your LinkedIn web scraper

    • You can also scrape LinkedIn data by using cookie-based applications like PhantomBuster.
    • This integration allows you to access your LinkedIn contacts, view profiles, and send connection requests and messages directly through the platform.
    • By scraping LinkedIn data, companies can easily receive valuable insights to power their outreach efforts and save time using specific LinkedIn automation tools.
    • Derrick App is also a LinkedIn extractor, but it is connected to Google Sheets.
    • And if you’re a tech savvy developer, you can jump ahead and learn how to scrape LinkedIn as a developer here.
    • Ranking is in ascending order based on the lowest starting price, with the exception of the products of the article’s sponsors which are linked to their websites.

    Octopus CRM also offers analytics and reporting tools, allowing you to track the performance of your campaigns and optimize your outreach efforts over time. 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.

    • Its endpoints enable users to search for companies based on specific criteria and perform additional data enrichment tasks.
    • Influencer marketing, scraping social media posts of certain influencers in your industry is key to stay up to date with the latest trends.
    • One of Octoparse’s biggest advantages for LinkedIn scraping is its library of pre-built task templates.
    • Weigh your needs and make an informed decision, because no one wants to change their providers midway.
    • And the built-in IP rotation keeps you anonymous by automatically cycling through different IP addresses, bypassing anti-scraping measures.
    • Go with open source LinkedIn scrapers if you have a coding background.

    Proxy-based LinkedIn scrapers

    • NetNut provides an API for social media scraping, enabling users to extract real-time and requested data from platforms like LinkedIn.
    • 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.
    • They guarantee fresh profile data updated within the last 29 days, ensuring you always have access to the latest and most relevant information.
    • You should never invade a person’s privacy or indulge in malicious activities while scraping data.
    • In this code, you’re using requests to fetch a LinkedIn page and BeautifulSoup to parse it.
    • In this article, I will guide you through LinkedIn’s limitations and provide practical tips for responsible scraping.
    • Despite being super fast and easy to use, the tool collects leads across the platform and supports automatic bulk data extraction.
    • Use a spreadsheet to record the data manually by taking notes and filling in the desired information in its relevant field.

    You can also make use of LinkedIn scraping for your recruitment needs, as it enables faster and more efficient talent sourcing. Recruiters can scrap LinkedIn profiles and create lists of potential candidates with specific skills, experience, or qualifications. This may help a lot, especially when it comes to recruiting for hard-fill LinkedIn Scraper positions. By scraping LinkedIn data, businesses can analyze industry trends to stay competitive. For example, companies can review job postings, skills, and hiring patterns to identify which roles and expertise are in demand. Find a step-by-step guide on efficient LinkedIn scraping and leverage it for your business growth.

    Full code and view the collected data

    LinkedIn has strict rules that don’t allow people to collect data without their approval. Breaking these rules can get you into legal trouble, such as having your account suspended or getting fined. Well, copying and pasting info from LinkedIn profiles one by one is super time-consuming. Customize the API to meet your specific LinkedIn data extraction needs. Influencer marketing, scraping social media posts of certain influencers in your industry is key to stay up to date with the latest trends. For users who do not want to manually perform web scraping, Bright Data also offers an extensive LinkedIn dataset.

    Why do you Need LinkedIn Data?

    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. 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.

    Key Features of Meet Alfred

    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. A LinkedIn scraper is a tool used to extract data from LinkedIn profiles and company pages. It works by automating the process of visiting LinkedIn pages and collecting relevant information such as names, job titles, and contact details. A LinkedIn automation and scraping tool designed for omni-channel outreach, Zopto is everything they advertise.

    LinkedIn Scraper

    LinkedIn-Scraper by TufayelLUS

    PhantomBuster offers a LinkedIn profile scraper and a company scraper to scrape public data from the platform. Nimble is a web data gathering platform providing various scraping APIs tailored for specific purposes such as SERP, E-commerce, Maps, and a general Web API. These APIs come equipped with integrated residential proxies, both dedicated and rotating. The Web API, in particular, offers tools like page interactions and parsing templates. This functionality is especially beneficial for handling sites in niches like E-commerce, SERP, and Maps, which may not be as easily accessible with other APIs.

    Loop through LinkedIn pagination and extract company details

    “Automated LinkedIn network building & brand awareness – if a little clunky”The ease of importing lists, especially combined with Sales Nav, for a steady growth of connections. Even if you change the content of a Funnel, the queued activity isn’t edited. “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. Lyne leverages AI and Machine Learning to uncover information that the average sales rep couldn’t find, providing users with a competitive edge. Findymail is a powerful B2B email finder designed to automate and streamline finding verified professional email addresses. Similarly, recruiters can use PhantomBuster to automate their outreach and make their recruitment process more efficient.

    LinkedIn-API by tomquirk

    Whether you’re a recruiter, salesperson, or just someone looking to network, these tools will help you get the job done quickly and efficiently. The Bright Data LinkedIn Scraper API allows developers to programmatically extract public data from LinkedIn profiles, companies, job listings, and posts. This enterprise-grade solution handles complex infrastructure requirements including proxy management, request throttling, and data parsing. Dripify is a cloud-based LinkedIn automation and scraping tool designed to help your sales team automate LinkedIn prospecting and close more deals. Another feature scraper brought to you by yours truly is the LinkedIn-API by Tomquirk.

    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. By using the right tools and techniques, you can surely unlock the true potential of LinkedIn.

    Cloud-Based Linkedin scraping

    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. The most common pricing reference you can get online is $99/person/mo.

    • So, it’s easier to use LinkedIn scraping tools, which provide a significant advantage by automating data collection and streamlining your marketing efforts.
    • Businesses can use LinkedIn scraping to identify potential collaboration and growth opportunities.
    • The platform can handle tasks like extracting public profiles, job postings, or company information.
    • 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.
    • If in case your account is banned, contact LinkedIn and plead for reinstatement.
    • This LinkedIn API is another Python library on GitHub for developers seeking programmatic access to LinkedIn data.
    • With a considerable number of professionals joining every day, LinkedIn tends to serve as a vast and authentic resource for data collection.
    • When adding new prospects’ profiles, you can choose the list of where to save them.

    This hack you can use to extract your competitors’ company page followers. If you export LinkedIn post commenters or likers and then reach out to them, that provides a great icebreaker for your prospecting messages. If you export LinkedIn event attendees using a tool like Phantombuster, you can import them into a CSV file with their contact information and mention of the event. There are several libraries available that allow for web scrapings, such as Beautiful Soup and Selenium. If they don’t, you can always download the CSV or Excel file they provide and use the import feature of your CRM to add your leads to it. It allows users to send hundreds of personalized follow-up messages daily on LinkedIn, Email, and Twitter, completely on autopilot.

    Method 1: Manual LinkedIn Scraping

    This will save you time, allowing you to focus on other important tasks. Some of the best LinkedIn tools for scraping LinkedIn include Dripify, Octopus CRM and PhantomBuster. These LinkedIn data scraping tools offer advanced search filters to extract precisely what you want.

    Global Linkedin Data

    It’s an asynchronous scraping tool that lets you gather public LinkedIn data quickly and at scale. So, you’ve scraped LinkedIn profiles and collected the necessary data. Here are my recommendations on leveraging this information to make the most of LinkedIn scraping for your business. Snov.io is a comprehensive sales engagement and automation platform that provides powerful tools for prospecting and business growth.