What This Agent Does
The LinkedIn Scraper AI Agent automates extraction of professional data from LinkedIn. Extract profiles, company information, job listings, and posts without manual searching.
Data Types You Can Scrape:
- Professional profiles (name, title, company, experience)
- Company pages and information
- Job listings and requirements
- Posts and articles
- Skills and endorsements
- Connection counts and engagement
Key Benefits:
- Build targeted prospect lists in minutes
- Automate recruiting candidate research
- Monitor competitor company pages
- Track industry job market trends
Use Cases:
- B2B sales prospecting
- Recruiting and talent sourcing
- Competitor employee tracking
- Job market analysis
- Influencer identification
Data You Can Extract
Profile Data
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scrapePeopleProfiles: Extract full professional profiles - name, headline, current company, location, experience history, education, skills
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searchPeople: Search for professionals by keywords, title, company, location
Company Data
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scrapeCompanyInfo: Get company pages - description, size, industry, headquarters, employee count, specialties
Job Market
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scrapeJobListings: Extract job posting details - title, company, location, requirements, salary (if listed)
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discoverJobsByKeyword: Search jobs by keywords and filters
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discoverJobsByUrl: Get jobs from specific search URLs
Content & Engagement
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scrapePosts: Extract posts and articles with engagement metrics
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discoverPostsByCompany: Get all posts from a company page
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discoverPostsByProfile: Get posts from specific profiles
Required Integrations
LinkedIn Scraper Integration
Uses linkedinscraper integration - managed by TaskAGI.
Setup Steps:
- Deploy agent to your account
- Connect Google Drive
- Enter profile URLs or search criteria
- Run extraction
Google Drive Integration
For saving results as JSON.
Configuration Steps
Form Trigger Setup
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Profile URLs: LinkedIn profile URLs (one per line)
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Search Keywords: For people/job search
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Company URLs: Company page URLs to scrape
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Filename: Results file name
Example Inputs
Profile URLs:
Job Search: "product manager" + "San Francisco"
Company: https://www.linkedin.com/company/microsoft/
Testing Your Agent
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Start with 5-10 profiles: Test data quality
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Verify URLs: Ensure valid LinkedIn URLs
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Run Extraction: Monitor progress
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Check Output: Validate profile data completeness
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Scale Up: Increase volume after successful test
Expected Output:
- Profile objects with: name, headline, company, location, experience, education, skills
- Job objects with: title, company, location, description, requirements
Troubleshooting
"Profile not found"
- Verify URL is correct and public
- Some profiles have privacy restrictions
"Incomplete data"
- Not all profiles have complete information
- Premium profiles may have more data
"Rate limited"
- Reduce batch size
- Add delays between runs
- Split large lists into smaller batches
Next Steps
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Export to CRM: Import leads to HubSpot, Salesforce
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Enrich with Email: Use email finder tools
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Track Companies: Monitor competitor employee changes
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Schedule Weekly: Keep prospect lists fresh
Pro Tips:
- Focus on 2nd/3rd degree connections for outreach
- Track job postings for hiring signals
- Monitor company posts for engagement opportunities
- Use job data for salary benchmarking
