LinkedIn Profile Scraper

Get detailed LinkedIn profile information from LinkedIn profile URLs, public identifiers, or profile IDs. Retrieve complete work history, education, skills, certifications, and contact details including email addresses. Perfect for due diligence, candidate assessment, lead enrichment, and building comprehensive contact databases. This agent is for getting detailed LinkedIn profile URLs, public identifiers, or profile IDs only. It is NOT for LinkedIn searches, use the 'LinkedIn People Search' agent instead.

Skills

Get Profile Details

Retrieve comprehensive profile data for specific LinkedIn members. Access full work experience with detailed role descriptions, complete education history, skills and endorsements, certifications, publications, recommendations, and verified contact information. Optionally include email address discovery with validation for direct outreach.

Get full profile for https://www.linkedin.com/in/williamhgates with email search.

Scrape profiles from the list of LinkedIn URLs I provide with email addresses.

Retrieve detailed profiles for specific LinkedIn public identifiers I have.

Get profiles for multiple LinkedIn URLs including email search.

Scrape the LinkedIn profiles I specify to get detailed work history and skills.

View Table

View specific rows and columns from any table, ask questions about it, and analyse it with AI. If the agent performs searches, explain which rows are good and bad to improve the search.

What backgrounds do these founders have?

Which companies appear most in work history?

What investment focus areas are indicated?

Which service specializations appear?

What tech stacks do these engineers have?

Filter Table

Filter any table with traditional filtering (i.e. patterns like names, URLs, etc). Explain what table you want to filter, and what rows you want to keep or remove.

Keep only profiles with email addresses found.

Remove profiles without significant work experience.

Keep only profiles that list their current company as a startup.

Remove all profiles without education at top-tier universities.

Keep only profiles with 'Product' or 'Engineering' in their work history.

Filter Table with AI

Filter any table with AI filtering (i.e. reasoning, semantic understanding, etc). Explain what table you want to filter, and what rows you want to keep or remove.

Keep only founders who have previously built and launched B2B products in AI/ML.

Keep only executives who have worked at high-growth SaaS companies in go-to-market roles.

Keep only investors who have made early-stage investments in European AI companies.

Keep only agency leaders who specialize in performance marketing or growth for B2B tech companies.

Keep only senior engineers with experience in distributed systems or ML infrastructure.

Generate Table

Generate a new table from any table with AI. Explain what table you want to generate from, what columns you want to keep, and what new columns you want to generate.

Summarize their previous product, target customer, key achievement, and write a personalized interview request.

Identify their growth specialty (sales/marketing/CS), company stages worked, and create a partnership pitch angle.

Extract investment stage focus, portfolio pattern, geographic preference, and generate a founder outreach message.

Identify their channel expertise, typical client profile, results mentioned, and create a sales outreach message.

Extract their primary tech stack, infrastructure experience, leadership indicators, and write a recruiter pitch.