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LinkedIn Data Scraper

linkedin-data-extractor
Social Media
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A robust LinkedIn data scraper by Scraping Intelligence to retrieve emails, profiles, and business insights. Use precise LinkedIn scraping tools to automate market research, hiring, and lead creation.

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LinkedIn Profile Data Scraper

LinkedIn is the world’s largest professional networking platform, connecting millions of professionals, companies, and opportunities globally. A LinkedIn profile data scraper is a powerful tool designed to extract comprehensive data from LinkedIn profiles for business intelligence, lead generation, recruitment, and market research. With advanced scraping capabilities, it can scrape all available information from LinkedIn profiles, including emails, ensuring you have access to verified contact details for outreach purposes. This scraper not only collects basic profile information such as ID, name, city, and location but also captures professional details like current position, past experience, skills, bio, and company information, including company size and industry.

linkedin-profile-data-scraper

Additionally, it can scrape LinkedIn posts, companies, and job listings, enabling you to gather valuable insights into company activities, trending content, and potential opportunities. By extracting LinkedIn profile URLs and gathering complete profile details, the tool ensures you get a structured, organized dataset ready for analysis or integration with CRM and marketing platforms. Whether you aim to generate leads, analyze competitors, or research talent pools, a LinkedIn profile data scraper streamlines the process, saving time and improving efficiency.

LinkedIn Data Fields

full-name profile-url headline-current-position location industry current-company education summary-about-section

Procedure to Use and Try Free Crawlers

The crawlers are 90% ready to work. With a few clicks, it becomes as easy as copying and pasting the content.

Step

Initiate Advance Search

Scrape location, company name, descriptions, education details, designations, or profile name from LinkedIn to extract engagement metrics, trending topics, and sentiment analysis. Capture data such as post reach, follower growth, comments, and reactions for competitive insights.

Step

Download Data

Export datasets (CSV, Excel, JSON, HTML, etc.) with timestamps, likes, shares, and keywords.

Step

Scheduling the crawler

The LinkedIn Scraper enables you to monitor content hourly for viral trends or track competitors daily for performance benchmarks.

Benefits of Linked Data Scraper

  • Quickly collects comprehensive LinkedIn profile information.
  • Automates lead generation for sales and marketing.
  • Gather company, job, and post data efficiently.
  • Saves time compared to manual data collection.
  • Helps analyze competitors and industry trends.
  • Provides structured data for CRM and outreach campaigns.
.CSV
JSON
Download Sample Data
#
Full Name
Profile URL
Headline
Position
Location
Industry
Company
Education
Summary
1
Sarah Johnson
linkedin.com/in/sarah-johnson-123
Digital Marketing Strategist
Marketing Manager
New York, USA
Marketing & Advertising
BrightWave Media
B.A. in Marketing, NYU
Experienced marketing leader specializing in SEO, PPC, and content growth.
2
Rajesh Kumar
linkedin.com/in/rajesh-kumar-456
Software Engineer
Full-Stack Developer
Bangalore, India
Information Technology
Infosys
B.Tech in Computer Science, IIT Delhi
Full-stack developer skilled in Python, React, and cloud infrastructure.
3
Emily Carter
linkedin.com/in/emily-carter-789
HR Business Partner
Senior HR Manager
London, UK
Human Resources
HSBC
M.A. in Human Resources, LSE
HR professional with 10+ years of experience in talent acquisition and employee relations.
 
[
    {
        "#": "1",
        "Full Name": "Sarah Johnson",
        "Profile URL": "linkedin.com/in/sarah-johnson-123",
        "Headline": "Digital Marketing Strategist",
        "Position": "Marketing Manager",
        "Location": "New York, USA",
        "Industry": "Marketing & Advertising",
        "Current Company": "BrightWave Media",
        "Education": "B.A. in Marketing, NYU",
        "Summary": "Experienced marketing leader specializing in SEO, PPC, and content growth."
    },
    {
        "#": "2",
        "Full Name": "Rajesh Kumar",
        "Profile URL": "linkedin.com/in/rajesh-kumar-456",
        "Headline": "Software Engineer",
        "Position": "Full-Stack Developer",
        "Location": "Bangalore, India",
        "Industry": "Information Technology",
        "Current Company": "Infosys",
        "Education": "B.Tech in Computer Science, IIT Delhi",
        "Summary": "Full-stack developer skilled in Python, React, and cloud infrastructure."
    },
    {
        "#": "3",
        "Full Name": "Emily Carter",
        "Profile URL": "linkedin.com/in/emily-carter-789",
        "Headline": "HR Business Partner",
        "Position": "Senior HR Manager",
        "Location": "London, UK",
        "Industry": "Human Resources",
        "Current Company": "HSBC",
        "Education": "M.A. in Human Resources, LSE",
        "Summary": "HR professional with 10+ years of experience in talent acquisition and employee relations."
    }
]
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