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12 LinkedIn Scraping Tools You Have To Try in 2025 FREE tools included

LinkedIn Scraper

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. Web scraping is generally legal when done ethically and within the bounds of regulations like GDPR and CCPA. Businesses must adhere to website terms of service and avoid scraping sensitive or copyrighted data.

How to Scrape LinkedIn Data at Scale (Complete Guide)

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. Then, log into LinkedIn and retrieve the li_at cookie from your browser’s developer tools.

Step 2: Set up your LinkedIn data scraping project directory

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.

More than Just a Scraping Tool

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.

How Do I Scrape LinkedIn Using Python?

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.

  • With Snov.io, you can create automated cold email sequences and add LinkedIn actions to your campaigns.
  • Dripify lets you build automated drip campaigns (or sales funnels) to nurture and engage your LinkedIn prospects on autopilot.
  • This can be a time-consuming process if done manually, but with the help of a LinkedIn scraper, you can accomplish it in a matter of minutes.
  • Despite these challenges, LinkedIn scraping remains an applicable solution for automated, scalable data collection when done smartly.
  • NetNut proxy is a great value for money and their support is responsive and personal.
  • Evaboot is a Chrome extension that works around the clock to build you a pipeline of hyper-qualified prospects.
  • Lyne.ai, or Lyne, is an AI-powered tool designed to facilitate sales personalization at scale for high-volume senders.

Global Linkedin Data

The platform also enables profile enrichment with additional details like email addresses and phone numbers. This information can help enhance sales, marketing, and recruitment strategies. LinkedIn scraper tools make it a no-brainer to leave the grunt work behind and let the robots handle the heavy lifting. Coresignal is this powerhouse data provider that gives you access to millions of fresh, comprehensive public web records on companies, professionals, and tech products.

Full code: Scraping Profiles with Selenium

✅ 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. Supercharge your CRM system by enriching it with real-time LinkedIn data insights.

Build a Solid Database

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.

Cons:

  • Snov.io is a comprehensive sales engagement and automation platform that provides powerful tools for prospecting and business growth.
  • According to Ascend2, 34% of marketers claim that marketing automation benefits lead generation and helps scale outreach.
  • Influencer marketing, scraping social media posts of certain influencers in your industry is key to stay up to date with the latest trends.
  • The data it exports includes things like name, LinkedIn profile URL, company, and beyond, but you’ll have to use a separate Phantom, the email extractor, to get an email address.
  • One of Octoparse’s biggest advantages for LinkedIn scraping is its library of pre-built task templates.
  • Moving away from singular developer solutions, we are now talking large-scale.

In fact, here’s a full demo of using a few Proxycurl APIs with real-life use-cases (including one using ChatGPT to build personalized email), by our very own CEO, Steven. 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. Our software ensures compliance, efficiency, and customization to meet your goals. However, the effectiveness of LinkedIn scraping hinges on a responsible approach.

Proxy-based LinkedIn scrapers

Leveraging your LinkedIn data not only enhances your outreach but also empowers your team with the insights needed to drive growth and build stronger connections with prospects. With this targeted approach, you can enhance your sales strategy by tailoring your outreach efforts. Segment your audience, personalize your email campaigns, or adjust your LinkedIn messaging to resonate more effectively with potential clients. Sign in to your Snov.io account or create a new one to sync the extension. This step ensures that the data you scrape on LinkedIn is directly saved to your account for further processing.

LinkedIn strictly opposes data scraping and has robust measures to prevent it. Most LinkedIn scrapers can directly send the data they extract to your CRM. It allows unlimited email automation and integration with various lead sources, enhancing lead generation and outreach efficiency. It started as a LinkedIn messaging automation tool and then added LinkedIn cold emailing to its sequences.

LinkedIn Scraper

Key Features of Octoparse

LinkedIn Scraper

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.

By the end of this post, you’ll know exactly which LinkedIn scraping tool is the best for your needs. However, you can still automate data collection, if you stick to LinkedIn best practices and its ethical guidelines. This approach helps minimize risks and ensures compliance with LinkedIn’s policies.

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.

Why scrape data from LinkedIn?

The risk of using browser extension scrapers is dependence on browser. Unlock the secrets of efficient LinkedIn scraping at Scrapin.io’s blog. Elevate your data extraction LinkedIn Scraper skills and stay ahead in the world of business intelligence. In addition to these benefits, ScrapIn maintains a commitment to ethical data scraping practices.

powerful business use cases of LinkedIn data

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. 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.

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 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.

LinkedIn scrapers can be integrated with other tools to create an automated outreach process. One thing to remember is that LinkedIn scraping is against LinkedIn’s terms of service. This means that if you use a scraper to extract data, you risk having your LinkedIn account banned or suspended.

LinkedIn scrapers are designed to crawl public LinkedIn profiles and extract data from the platform, including names, job titles, company names, industries, and skills. Lemlist is a cold email software designed to improve reply rates and simplify sales engagement and outreach automation. It is powered by the capability to extract data from LinkedIn profiles based on various filters, including keywords, location, industry, and more.

LinkedIn Scraper

Jacob Kalvo, CEO of Live Proxies, a leader in residential proxy solutions. Embracing a LinkedIn Scraper API is not just about unlocking data; it’s about opening up opportunities, driving growth, and finding success in professional endeavors. These APIs are very easy to integrate or fit into the existing work cycle, whether you’re a seasoned developer or just beginning your career path. Most of the more or less popular LinkedInScraper APIs have good tutorials, documentation, and user support for customers in trouble during integration.

This automation not only saves time, but also ensures that you have accurate and up-to-date data to drive your marketing and outreach strategies. Additionally, LinkedIn scraping can help businesses identify potential partners, customers, and suppliers by analyzing connections between competitors and other industry players. By exporting LinkedIn group members, you are to build a qualified lead list of people interested in a specific topic. By scraping LinkedIn, you can streamline your sales process, increase your conversion rates, and ultimately drive revenue growth for your business. This information can be used to create targeted lists of potential customers for your sales team to contact.

Jayden’s commitment to responsible tech practices shines through, advocating for privacy and staying at the forefront of industry advancements. A collaborative figure, he shares knowledge through mentoring and public speaking, making a lasting impact on the tech community. In the fast-paced tech landscape, Jayden Sprent is a versatile professional, leaving an indelible mark on digital innovation. Let me tell you why Scrapingdog is one of the best LinkedIn Scraper APIs out there. If you need to scrape LinkedIn profiles for things like talent acquisition, market research, or sales prospecting, Scrapingdog can help you get all the data you need easily.

You have to apply for access, go through an unreasonably long approval process, and even then chances are you might get rejected. If you do manage to secure API access by a miracle, the data you get is limited. Whichever route you choose, scraping LinkedIn can be super useful for a variety of reasons. Regardless, if you’re looking to get started or need some help, feel free to book a time with my team. It requires no technical knowledge and automatically handles everything, including email and phone verification, data scraping, and even sending out email and LinkedIn messages.

Go with open source LinkedIn scrapers if you have a coding background. 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.

It simplifies data extraction by automatically detecting relevant fields on LinkedIn job pages and allows users to customize workflows for precise data capture. To cut it short, we must say Helium Scraper is an excellent choice for anyone looking to extract valuable data and insights from LinkedIn profiles. It will be a valuable asset for any business seeking a competitive edge in its industry. This means you can extract data with ease, even if you have no experience with web scraping or data extraction. In addition to scraping data from LinkedIn profiles, Phantombuster offers several other features that make it a powerful tool for LinkedIn automation.

“Extremely useful tool for economic research”I use Bright Data to collect data on employment in Israeli high-tech. The database covers a large portion of the employees in the industry, is frequently updated, and is straightforward to access. “Excellent service for optimizing LinkedIn outreach.”I like that it’s easy to use and allows me to run multiple campaigns. 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.

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. It is the perfect tool if you’re looking to scale your LinkedIn outreach while maintaining a degree of personalization. Like I prefaced earlier, LinkedIn has their very own paid API that grants access to LinkedIn’s network and professional data.

Note that the pricing isn’t specific to LinkedIn, you can use this tool to scrape any website without being blocked. For example, if you want to scrape all marketing directors at non profits in NYC to invite them to a particular event, then pay as you go is suited for that. The price per credit varies from $0.0216 to $0.1 depending on your volume commitment. You can also use no code tools like n8n.io and pipedream.com to use this API. If you’re a beginner, we recommend using the Trial version for 14 days to get familiar with the platform and move to a paid plan after you get comfortable with the tool.

  • If these limits are exceeded, LinkedIn can suspend or even terminate your account.
  • Furthermore, the collection of detailed data helps identify patterns and trends that may well have remained hidden.
  • With enriched profiles in CRM, teams can tailor their communication strategies more precisely and increase engagement and conversion rates.
  • Open the lead’s profile, a company page, or a search results page with specific filters and launch LI Prospect Finder by clicking its icon in the top-right corner of your browser.
  • Wiza allows you to export leads from Sales Navigator, LinkedIn, and Recruiter.
  • It is a user-friendly tool that allows you to automate your LinkedIn outreach efforts and manage your lead generation and sales pipeline on LinkedIn more efficiently.

With the right LinkedIn scraping tool on your side, you can create targeted marketing campaigns that resonate with your audience, grow your brand presence, and drive sales. NetNut provides an API for social media scraping, enabling users to extract real-time and requested data from platforms like LinkedIn. This social scraping tool is compatible with proxies and features automated proxy rotation to optimize data collection. Web scraping tools such as Bright Data has their own proxy infrastructure including IPs and servers.

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. No doubt, LinkedIn stands out as one of the biggest and richest resources for scraping valuable information. Whether you need to create targeted marketing campaigns or identify promising leads, the need for an effective LinkedIn scraper can’t be overruled. One common misconception about data scraping tools is that they require advanced technical skills to use. While that may be true for some of the older tools out there, modern APIs for LinkedIn Scraper are designed with ease of use in mind. Are you tired of manually searching for leads and spending hours on tedious tasks?

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