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Automated Job Posting to Niche Job Site (Custom Site)

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Are you spending hours manually collecting LinkedIn company data—names, descriptions, employee counts, industries, locations, updates, and more? With millions of companies, professionals, and networks to browse through, finding the right data or conducting research has become incredibly time-consuming for recruiters, sales professionals, analysts, and business developers.

BrowserAct automates the entire process. Extract structured data from LinkedIn in minutes, not hours—no coding required.


What Does BrowserAct LinkedIn Scraper Do?

Automatically extract comprehensive LinkedIn resource data with our powerful LinkedIn scraper tool. Capture company names, about sections, employee counts, industries, headquarters locations, recent updates, follower counts, and links to profiles from any LinkedIn company page. Enjoy flexible filtering and output options for comprehensive market analysis—no coding required.

Our LinkedIn scraper is built for seamless integration with automation platforms like Make.com, making it ideal for ongoing monitoring and competitive intelligence tasks.


What Data Can I Extract from LinkedIn?

With BrowserAct's LinkedIn Scraper, you can pull a wide range of publicly available data for analysis. Here's a breakdown:

LinkedIn Company Profiles & Features

  • Company names
  • Descriptions and about sections
  • Employee counts
  • Industries and specialties
  • Headquarters and locations
  • Recent updates and posts
  • Follower counts
  • Links to company pages and websites


Key Features of LinkedIn Scraper

  • Customizable Parameters: Adjust extraction scope to match your research needs
  • Flexible Selection: Set max items for bulk extraction across multiple pages
  • Comprehensive Data Capture: Extracts complete company profiles with all metadata
  • Structured Output: Preserves data relationships for easy analysis
  • Multi-Page Support: Compatible with company listings, search results, and profile pages
  • Automation-Ready: Seamlessly integrates with Make.com and other platforms


How to Scrape LinkedIn

Quick Start Guide: How to Use LinkedIn Scraper in One Click

If you want to quickly start experiencing scraping LinkedIn, simply use our pre-built "LinkedIn Scraper" template for instant setup and start scraping LinkedIn effortlessly.

  1. Register Account: Create a free BrowserAct account using your email
  2. Configure Parameters: Fill in necessary inputs like Target_url (e.g., "https://www.linkedin.com/company/browseract/") – or use defaults to learn how to scrape LinkedIn quickly
  3. Start Execution: Click "Start" to run the workflow
  4. Download Data: Once complete, download the results file from LinkedIn scraping


How to Build a LinkedIn Scraper Workflow: Step by Step

LinkedIn Scraper workflow building with BrowserAct requires no coding skills—it's automation-ready and easy to set up. Follow these step-by-step instructions to get started.

  1. Determine Your Scope

Decide the number of results to extract (e.g., 50 results with complete details). Adjust parameters based on your research needs.


  1. Start Node Parameter Settings
  • Target_Site: Enter your LinkedIn link (e.g., https://www.linkedin.com/company/browseract/)

Note: Customize based on needs—works with company listings, search results, or profile pages.


  1. Visit Page

In the prompt box, enter Visit / GitHub – this will navigate to the target URL.


  1. Add Extract Data

In the prompt box, enter:

If the page loaded, the '← Back to all jobs' link and the blue 'Apply Now' button is visible. 
add Submitted to "Status" and add current tab url to "Url" otherwise add Failed to "Status"
- if workflow faces any error Failed to "Status"

Note: You can specify the exact location of the data to be collected on the page to increase the accuracy of data extraction.


  1. Output Data

Export in JSON, CSV, XML, or Excel formats.


Key Benefits of LinkedIn Company Scraper

LinkedIn Company Scraper offers a range of advantages that make data extraction simple, efficient, and powerful. Here's why it's a top choice for LinkedIn web scraping:

No Coding Required: Set up and run extractions effortlessly without any programming skills—perfect for beginners and pros alike

Customizable and Flexible: Adjust parameters like item limits, data fields, and target URLs to tailor results to your exact needs

Structured Data Output: Maintains organized data in structured formats (e.g., JSON, CSV, Excel) for easy analysis and integration

Automation Integration: Seamlessly works with Make, n8n, and other platforms for scheduled, hands-off web scraping

Cost-Effective: Start with free trials for small-scale tasks, scaling affordably for larger datasets while respecting LinkedIn's policies

Accurate and Reliable: Handles automatic page loading, uses 'N/A' for missing data, and includes rate limit handling to ensure consistent results

These benefits make LinkedIn Company Scraper an efficient tool for turning raw LinkedIn data into actionable insights.


Who Can Use LinkedIn Company Scraper?

LinkedIn Company Scraper is designed for anyone needing quick, reliable access to LinkedIn company data. It's ideal for a variety of users, including:

  • Recruiters & HR Professionals: Source top talent and analyze company growth
  • Sales & Business Developers: Identify leads and track target company updates
  • Market Researchers & Analysts: Extract data for industry trend analysis and competitive intelligence
  • Digital Agencies: Manage client outreach with comprehensive company profiles
  • Investors & VCs: Monitor portfolio companies and emerging players
  • Product Managers: Gather insights on industry leaders and innovation trends
  • Small Businesses & Startups: Conduct affordable competitive research without needing advanced technical skills
  • Academics & Students: Research organizational structures and corporate ecosystems

No matter your background, if you're looking to scrape LinkedIn without hassle, this tool is accessible and effective for both individuals and teams.


Use Cases for LinkedIn Company Scraper

LinkedIn Company Scraper is versatile for various real-world applications. Here are some key ways to use it for extracting and analyzing LinkedIn data:

📊 Market Research: Collect data on company size, industry, and employee growth for informed decision-making

🔍 Competitive Intelligence: Scrape competitor company pages to identify strengths, weaknesses, and market opportunities

💰 Valuation Analysis: Track funding rounds, revenue indicators, and hiring trends

Quality Assessment: Analyze employee count, recent posts, and engagement to identify top-tier organizations

🔄 Update Monitoring: Track company news, job postings, and leadership changes

🛠️ Lead Generation: Build comprehensive databases to target the best prospects for your projects

📈 Trend Tracking: Monitor emerging industries and popular sectors in the LinkedIn ecosystem

🎯 Partnership Research: Identify reliable partners and assess their company profiles

Whether for one-off projects or ongoing monitoring, LinkedIn Company Scraper helps transform LinkedIn data into valuable insights.


Make.com Integration

BrowserAct's LinkedIn Company Scraper is now available as a native app on Make.com—add it to your scenarios without API hassle.

Automation-Ready: Integrate with Make, n8n, or others for scheduled monitoring

Rate Limit Handling: Built-in delays to comply with LinkedIn policies

Multi-Company Tracking: Run instances for different industries, locations, or company sizes

💡 Use Case Tip: Ideal for lead generation, competitor tracking, and market research with complete company metadata

🚀 Quick Start with Make.com: Search for "BrowserAct" in Make.com's app directory and add it directly—no complex setup


Ready to Transform Your LinkedIn Data Collection?

Stop wasting hours on manual data collection. Start scraping LinkedIn company profiles, updates, and insights in minutes with BrowserAct's AI-powered automation.

Try BrowserAct Free → https://www.browseract.com/

No credit card required. Get started in under 5 minutes.


Popular Use Cases:

  • 🛍️ Recruiters sourcing high-growth companies
  • 💻 Sales teams analyzing target accounts
  • 📊 Analysts tracking industry trends
  • 🏢 Agencies managing client prospecting
  • 🚀 Investors performing due diligence

Start Your Free Trial → https://www.browseract.com/template?page=3


Need Help?

Contact us at:

  • 📧 Discord: https://discord.com/invite/UpnCKd7GaU
  • 💬 E-mail: service@browseract.com


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BrowserAct - AI Web Scraper. No Code. Any Site. For Your Agent.