Cars Full Bkp
You are scraping a car dealership inventory website. Step 1 - Inventory pages: Go to the inventory page. You will find car listings displayed as cards. Each card shows the car's basic info and a link to its detail page. The page has pagination at the bottom — follow all pagination links until you reach the last page. Collect ALL cars across all pages. For each car, extract the data in this exact JSON format: { "year": 2020, "make": "Toyota", "model": "4Runner", "price": "$34,995.00", "detail_url": "https://narrowpath.autos/inventory/40449/view/1657/Birmingham-AL/2020-Toyota-4Runner" } Put all pagination links in next_urls. Put each car's detail page URL in detail_urls. Step 2 - Detail pages: Visit each car's detail page. The detail page shows full vehicle specs, a gallery of images, and detailed vehicle information. Extract all available data from the detail page in this JSON format: { "year": 2020, "make": "Toyota", "model": "4Runner", "price": "$34,995.00", "detail_url": "https://narrowpath.autos/inventory/40449/view/1657/Birmingham-AL/2020-Toyota-4Runner", "images": ["https://example.com/img1.jpg", "https://example.com/img2.jpg"], "vin": "JTEBU5JR8L5123456", "transmission": "Automatic", "exterior_color": "Midnight Black", "interior_color": "Black", "drivetrain": "4WD", "fuel_type": "Gasoline", "city_mileage": "16 MPG", "highway_mileage": "19 MPG", "engine": "4.0L V6", "mileage": "45,000" }
when to use it
Community prompt sourced from the open-source GitHub repo souvik79/Scraper-AI (MIT). A "Cars Full Bkp" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
ecommercecommunitygeneral
source
souvik79/Scraper-AI · MIT