Automated Lead Intelligence Across 1,500+ Automotive Dealers

The Challenge

An automotive platform needed two things at once: structured lead data from 1,500+ dealer websites across Europe for sales outreach, and comprehensive pricing data to build an internal pricing model. Every dealer site was different. Different layouts, different CMS platforms, different ways of listing inventory and contact details. Manually researching even a fraction of these sites would take months, and the data would be outdated before the team could act on it. They needed a way to extract, clean, and structure data from all of these sites at scale, without building and maintaining 1,500 individual scrapers by hand.

The Approach

We used Clawdbot to automate the entire pipeline end-to-end. First, Clawdbot analyzed the structure of each dealer website, identifying where contact details, inventory listings, and pricing information lived on the page. Based on that analysis, it automatically generated custom scraping tooling tailored to each site's layout. These scrapers were then deployed on AWS EC2 instances, running in parallel until every site had been fully processed. The extracted data was cleaned, deduplicated, and normalized before being pushed to a PostgreSQL database. The whole process, from site analysis to clean data in the database, ran with minimal manual intervention.

The Outcome

The pipeline successfully scraped 1,500+ dealer websites, extracting 1,100+ qualified leads with structured contact information ready for outreach. In parallel, 50,000+ individual prices were scraped and cleaned, forming the foundation for the client's internal pricing model. What would have taken a team months of manual work was completed in a fraction of the time, with higher data quality and consistency than manual collection could achieve.

Tech Stack

What's Next

The next phase focuses on deepening coverage within existing markets and adding new dealer segments. We're also building a real-time price monitoring layer on top of the existing pipeline, enabling the client to track pricing trends across the market and respond to competitive shifts as they happen.