LinkedIn Lead Enricher — B2B Profile Scraper + Email Finder
Pricing
Pay per usage
LinkedIn Lead Enricher — B2B Profile Scraper + Email Finder
Scrape public LinkedIn profiles and company pages to extract B2B leads with job titles, company info, and email pattern guessing. Perfect for sales teams and recruiters.
Pricing
Pay per usage
Rating
0.0
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Developer
Avinash
Maintained by CommunityActor stats
0
Bookmarked
8
Total users
2
Monthly active users
6 days ago
Last modified
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Scrape public LinkedIn profiles and company pages to extract B2B leads with job titles, company info, and email pattern guessing. This LinkedIn lead enricher helps sales teams and recruiters build prospect lists.
How It Works
The actor launches an anti-bot Playwright browser against each public LinkedIn profile URL, waits for the page to hydrate, and runs an in-page evaluate to read the full name, headline, current title and company from the experience section, location, connection degree, skills, and industry. When a company link is present it opens the company page in a second tab to extract the company website domain; otherwise it derives a domain from the company name. When includeEmailGuesses is enabled it generates likely addresses (first.last@, firstinitial last@, first@) and combines them with a 0-100 lead score based on title, company, location, skills, industry, and email availability before pushing the record to the dataset.
Features
- Profile scraping: Public LinkedIn profile data extraction
- Email pattern guessing: Predicts email formats from company domains
- Company data: Company name, industry, and size from profile
- Job title extraction: Current and past role information
- Location data: Geographic information from profiles
Input Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
profileUrls | array | — | LinkedIn profile URLs |
maxResults | integer | 10 | Max profiles (1-100) |
includeEmailGuesses | boolean | true | Generate email predictions |
proxyConfiguration | object | Apify Proxy | Proxy for reliable scraping |
Output Example
{"fullName": "Jordan Patel","headline": "Head of Growth at Northbeam | Ex-HubSpot | B2B SaaS","currentTitle": "Head of Growth","companyName": "Northbeam","companyDomain": "northbeam.io","location": "Austin, TX Metropolitan Area","connectionDegree": "2nd","profileUrl": "https://www.linkedin.com/in/jordanpatel","emails": ["jordan.patel@northbeam.io", "jpatel@northbeam.io", "jordan@northbeam.io"],"phones": [],"skills": ["Growth Strategy", "Demand Generation", "Account-Based Marketing", "Marketing Analytics"],"industry": "SaaS Marketing","leadScore": 80,"scrapedAt": "2026-07-27T22:10:00.000Z"}
Use Cases
- B2B sales: Build prospect lists with contact info
- Recruiting: Find candidates with specific titles and companies
- Account-based marketing: Research decision-makers at target accounts
- Market intelligence: Map talent distribution by company
Limitations
- LinkedIn actively blocks scraping; proxy configuration is essential
- Email guessing uses common patterns and may not be 100% accurate
- Only public profile data is accessible without login