Facebook Marketplace Vehicle Scraper

Car Dealer, Florida

Project overview

Automated scraper collecting vehicle listings from Facebook Marketplace across multiple US cities — make, model, year, price, mileage, seller contact info, and photos. Built for dealer private-party sourcing.

The challenge

Dealer wanted to source vehicles from private sellers on Facebook Marketplace but browsing manually across 10+ cities was taking hours with inconsistent results.

My solution

Built a cookie-authenticated Selenium scraper that navigates Facebook Marketplace, applies filters (vehicle category, location radius, price range), and extracts all listing data including seller contact information.

Result

Dealers find and contact private sellers 5x faster. Found vehicles priced 15–30% below retail value consistently.

Tech stack

Python, Selenium, Cookie management, JSON, Excel, Multi-city

What was built