Enrich Engine

Enrich Engine's scraping system finds LinkedIn profiles by searching Google with targeted queries. Upload a CSV with company names, person names, or domains, and the system will discover matching profiles.

Workflow Types

The system automatically detects your workflow based on CSV columns:

Workflow	Use Case	Required Columns
Company + Role	Find people by title at companies	company, role (or role1, role2...)
Name Search	Find specific people by name	first_name, last_name
Domain Search	Find people at domains/websites	domain, role (or role1, role2...)

CSV Format: Company + Role

Find people by job title at specific companies. This is the most common workflow.

Simple Formatcsv

company,role
Anthropic,VP of Sales
Stripe,Head of Engineering
OpenAI,CTO
Notion,Product Manager

For multiple roles at the same company, use numbered role columns:

Multiple Roles Formatcsv

company,role1,role2,role3
Anthropic,CEO,CTO,VP of Sales
Stripe,CEO,CFO,Head of Product
OpenAI,CEO,CTO,VP of Engineering

CSV Format: Name Search

Find LinkedIn profiles for specific people by name. Adding company improves accuracy.

Name Search Formatcsv

first_name,last_name,company
John,Smith,Anthropic
Jane,Doe,Stripe
Mike,Johnson,OpenAI

CSV Format: Domain Search

Find people at companies when you have their website domain.

Domain Search Formatcsv

domain,role
anthropic.com,VP of Sales
stripe.com,Head of Engineering
openai.com,CTO

Multi-Person Scraping

The system can find multiple people for the same role at a company. If you have duplicate rows, it will find different people for each:

company,role
Anthropic,Software Engineer
Anthropic,Software Engineer
Anthropic,Software Engineer

This will find 3 different Software Engineers at Anthropic. The system tracks which profiles have been found and excludes them from subsequent searches to avoid duplicates.

How It Works

Query Generation: For each row, the system builds a Google search query like site:linkedin.com/in/ "VP of Sales" "Anthropic"
Search Execution: The query is sent to Serper (Google Search API)
Result Extraction: LinkedIn profile URLs are extracted from results
Name Parsing: First/last names are parsed from the result title
Deduplication: Already-found URLs are excluded from future searches

Tips for Better Results

Use Official Company Names

"Anthropic" works better than "Anthropic AI" or "Anthropic, PBC". Use the name as it appears on LinkedIn company pages.

Be Specific with Titles

"VP of Sales" yields better results than "Sales". More specific titles have higher match precision.

Unique Names Have Higher Success

Name searches work best for distinctive names. Common names like "John Smith" may return incorrect matches without additional context.

Profile Completeness Matters

People with incomplete LinkedIn profiles or privacy settings may not appear in search results. This is a limitation of Google indexing.

Result Statuses

Status	Meaning
completed	LinkedIn profile found
no_result	No matching profile in search results
failed	Search error (API limit, network issue)

Next Steps

After scraping, you can:

Sync to a list: Click "Sync to List" to create leads from found profiles
Enrich profiles: Use the Enrich API to add emails and phone numbers
Export results: Download as CSV for use in other tools

LinkedIn Scraping Guide