The team was juggling multiple tools and spreadsheets without a central, automated system to connect the dots from discovery to enrichment.
AI-Powered LinkedIn Lead Scraper: Company and Owner Extraction
The Project
A fast growing B2B consulting firm approached us to build a scalable and automated lead generation system. Their sales team was spending hundreds of hours manually searching for target companies on LinkedIn, identifying decision makers, and finding their contact details. The goal was to create a hands off “lead engine” using n8n that could automate the entire prospecting workflow, from discovery to a fully enriched, sales ready lead list.
Location
USA
Industry
Sales & Lead Generation
Project Duration
2 Weeks
Team Size
1 People
Technologies Used
n8n, OpenAI GPT-4, LinkedIn API, CRM Integration, Web Scraping Tools
What Our Client Says?
“This LinkedIn scraping solution revolutionized our prospecting process. We now identify and qualify hundreds of high-quality leads daily, with detailed company insights that make our outreach incredibly targeted!”
Antonio Abrham
Business Owner
The Challenge
- Manual & Time-Consuming Prospecting
The client’s team was manually searching LinkedIn for companies, then trying to find the founders or CEOs, leading to a slow and inefficient pipeline.
- Inaccurate & Outdated Contact Data
Finding contact information manually often resulted in outdated or generic emails, leading to high bounce rates and wasted sales efforts.
- Difficulty Reaching Decision-Makers
The process of connecting a target company to its specific owner or key decision-maker was inconsistent and relied heavily on guesswork.
- Fragmented & Inefficient Workflow
The Solution
- Centralized Lead Database in Google Sheets
The final, fully enriched lead data is automatically formatted and saved into a Google Sheet. This provides the sales team with a clean, organized, and continuously updated list of high-value prospects ready for outreach.
- Real-Time Data Enrichment via Apollo.io
Once a decision maker’s LinkedIn profile is identified, the n8n workflow triggers an API call to Apollo.io. This enriches the lead with verified business email addresses, direct-dial phone numbers, company size, and other critical data points.
- Automated Multi-Step Scraping with n8n & Phantombuster
We designed an n8n workflow that orchestrates Phantombuster “phantoms” in a precise sequence. It first scrapes a list of target company LinkedIn profiles, then uses that output to automatically find the LinkedIn profiles of their founders or CEOs
- Automated Research & Data Extraction
We built an automated system to collect and structure company and contact information from LinkedIn and other reliable sources. This drastically reduced manual research time and delivered consistent, accurate prospect data for the sales team.
Results
90% data accuracy for extracted company information
75% reduction in manual research time
500+ qualified leads generated daily
Key Features
Company-to-Founder Targeting Pipeline
The workflow begins by scraping companies that fit a specific ideal customer profile (e.g., industry, size, location). It then intelligently parses this data to initiate a second scrape focused solely on identifying and extracting the profiles of key decision makers (like Founders, CEOs, or VPs) within those specific companies.
Automated Data Enrichment & Verification
Instead of just providing a LinkedIn profile, our n8n workflow transforms it into an actionable lead. By integrating with Apollo.io’s API, the system automatically fetches and verifies crucial contact details, ensuring the sales team works with accurate, high quality data and reducing email bounce rates significantly.
Seamless Google Sheets Integration
The final output is delivered directly into a structured Google Sheet. The n8n workflow populates columns for First Name, Last Name, Title, Company Name, Verified Email, LinkedIn Profile URL, and Company Website, creating an immediately actionable resource for the sales and marketing teams.
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