🚗 Gumtree Cars Scraper

Search and extract used car listings from Gumtree UK with full vehicle specs, pricing, mileage, fuel economy, emissions data, seller details, GPS coordinates, photos, and vehicle history flags. Filter by make, model, or paste any Gumtree search URL.

The Gumtree Cars Scraper collects used car listings from the UK's largest classifieds platform, with prices, 40+ vehicle specs, mileage, fuel economy, emissions, seller type, location, and write-off history.

📊 Data fields

Each record includes: acceleration0to62, averageMpg, bodyType, co2Emissions, color, createdAt, currency, daysListed, description, doors, engineSize, engineSizeLitres, euroEmission, extraUrbanMpg, fuelCapacity, fuelType, horsepower, imageCount, imageUrl, images, insuranceGroup, isStolen, isWriteOff, latitude, listingId, location, longitude, luggageCapacity, make, mileage, model, postcode, previousOwners, price, scrapedAt, seats, sellerType, title, topSpeed, transmission. All 40 field names come from a real production run, so what you see here is what lands in your dataset.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Gumtree Cars Scraper page on the Apify Store.
3. 🎯 Set input. Configure the input fields in the form (or paste a JSON), then set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Gumtree or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

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💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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