🚗 Gumtree Cars Scraper

🕒 Last updated: 2026-05-05

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.

✨ What Does It Do

• 💷 Price and Currency - collect the listed price for each car to compare values across sellers, models, and regions
• 🏎️ Make, Model, and Trim - extract manufacturer, model name, and trim level to filter and categorize vehicles precisely
• 📏 Mileage and Year - get the odometer reading and registration year to assess vehicle condition and depreciation
• ⛽ Fuel Type and Economy - see fuel type, average MPG, urban MPG, and extra-urban MPG for running cost estimates
• 🔧 Engine and Performance - engine size in cc and litres, horsepower, top speed, and 0-62 acceleration time
• 🚪 Body, Colour, Doors, and Seats - body type, exterior colour, door count, and seating capacity for each listing
• 🌿 Emissions Data - CO2 emissions in g/km and Euro emission standard for environmental and tax calculations
• 🛡️ Vehicle History - write-off and stolen flags, previous owner count, and insurance group
• 📍 Location with GPS - seller location, postcode, latitude, and longitude for geographic analysis and distance filtering
• 📸 Photos - all listing images with count, plus the primary image URL for quick previews
• 👤 Seller Type - distinguish between private sellers and dealers
• 📅 Listing Age - when the ad was created and how many days it has been listed

🔧 Input

• Start URL - paste any Gumtree cars search URL directly from your browser. Overrides make and model filters
• Max Items - number of listings to collect. Free users: up to 100. Paid users: up to 1,000,000. Default: 10
• Make - car manufacturer (e.g. bmw, audi, ford, toyota)
• Model - car model (e.g. 3-series, a4, focus). Requires make to be set
• Include Full Details - fetch each listing's detail page for 40+ specs. Slower but much more data (default: on)

Example input:

{
  "make": "bmw",
  "model": "3-series",
  "maxItems": 50,
  "includeDetails": true
}

Or paste a direct search URL:

{
  "startUrl": "https://www.gumtree.com/cars-vans-motorbikes/cars/audi",
  "maxItems": 30
}

📊 Output

Each listing contains up to 42 fields when full details are enabled. Download as JSON, CSV, or Excel.

{
  "url": "https://www.gumtree.com/p/bmw/2016-bmw-2-series-220d/1511312471",
  "imageUrl": "https://i.ebayimg.com/00/s/NjAwWDgwMA==/z/abc123.jpg",
  "title": "2016 BMW 2 Series 220d xDrive M Sport",
  "price": 9995,
  "currency": "GBP",
  "make": "BMW",
  "model": "2 Series",
  "trim": "220d xDrive M Sport 2dr Step Auto",
  "year": 2016,
  "mileage": 85000,
  "fuelType": "Diesel",
  "transmission": "Automatic",
  "engineSize": 1995,
  "engineSizeLitres": "2.0",
  "horsepower": 190,
  "bodyType": "Coupe",
  "color": "Black",
  "doors": 2,
  "seats": 4,
  "averageMpg": 62.8,
  "urbanMpg": 50.4,
  "extraUrbanMpg": 72.4,
  "co2Emissions": 119,
  "euroEmission": "Euro 6",
  "topSpeed": 143,
  "acceleration0to62": 7.1,
  "insuranceGroup": "29E",
  "previousOwners": 3,
  "luggageCapacity": 390,
  "fuelCapacity": 52,
  "isWriteOff": false,
  "isStolen": false,
  "sellerType": "TRADE",
  "location": "Harrow, London",
  "postcode": "HA1 4UD",
  "latitude": 51.5933,
  "longitude": -0.339092,
  "description": "Beautiful BMW 2 Series in excellent condition...",
  "images": ["https://i.ebayimg.com/..."],
  "imageCount": 12,
  "listingId": "1511312471",
  "createdAt": "2026-03-10T14:30:00.000Z",
  "daysListed": 8,
  "scrapedAt": "2026-03-18T20:00:00.000Z"
}

💎 Why Choose the Gumtree Cars Scraper?

Feature	Our Actor
40+ vehicle specs per listing	✔️
Fuel economy (average, urban, extra-urban MPG)	✔️
CO2 emissions and Euro standard	✔️
Write-off and stolen vehicle flags	✔️
GPS coordinates and postcode	✔️
Engine size, HP, top speed, 0-62	✔️
All listing photos with count	✔️
Previous owner count and insurance group	✔️
Listing age and creation date	✔️
Filter by make and model	✔️
Free tier: 100 results per run	✔️
Export as CSV, Excel, or JSON	✔️

📋 How to Use

No technical skills required. Follow these simple steps:

1. Sign Up: Create a free account with $5 credit
2. Find the Tool: Search for "Gumtree Cars Scraper" in the Apify Store and open it
3. Set Your Input: Pick a make and model, or paste a Gumtree search URL
4. Run It: Click "Start" and view your results in seconds

That's it. No coding, no setup, no complicated configuration. Export your data in CSV, Excel, or JSON format.

🎯 Business Use Cases

• 🏪 Used Car Dealer - monitor competitor pricing across makes and models, track how long listings sit before selling, and spot underpriced vehicles
• 📊 Market Analyst - build structured datasets of UK used car prices by region, fuel type, and age to identify trends and forecast values
• 💼 Car Buyer - compare prices, mileage, and specs across hundreds of listings without opening each one manually
• 🔬 Insurance Researcher - aggregate vehicle data with insurance groups, write-off flags, and emissions to model risk and pricing

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✨ Why choose this Actor

	Capability
🎯	Built for the job. Scoped specifically to this data source so you skip the parser engineering entirely.
🔖	Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines.
⚡	Fast. Optimized request patterns return results in seconds, not minutes.
🔁	Always fresh. Every run pulls live data, so the dataset reflects the source as of run time.
🌐	No infra to manage. Apify handles proxies, retries, scaling, scheduling, and storage.
🛡️	Reliable. Battle-tested across many runs and edge cases, with graceful error handling.
🚫	No code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK.

📊 Production-grade structured data without the engineering overhead of building and maintaining your own scraper.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ Gumtree Cars Scraper (this Actor)	$5 free credit, then pay-per-use	Full source coverage	Live per run	Source-native filters supported	⚡ 2 min
Build your own scraper	Engineering hours	Full once built	Whenever you maintain it	Custom code	🐢 Days to weeks
Paid managed APIs	$$$ monthly	Vendor-defined	Live	Vendor-defined	⏳ Hours
Third-party data dumps	Varies	Subset, often stale	Periodic	None	🕒 Variable

Pick this Actor when you want broad coverage, server-side filtering, and no pipeline maintenance.

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🚀 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.

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💼 Business use cases

📊 Data & Analytics Build trend reports and dashboards from live source data Feed BI tools, warehouses, and ML pipelines with structured records Run periodic snapshots to track changes over time Compare segments, regions, or categories with consistent fields	🏢 Operations & Strategy Monitor competitor moves, pricing, and inventory shifts Build internal directories and lookup tools backed by current data Power workflows that depend on fresh source records Cut manual data-gathering time from hours to minutes
🎯 Marketing & Growth Identify market opportunities and trending topics Research target audiences and customer personas at scale Power lead-generation pipelines with verified records Track sentiment, reviews, or social signals over time	🛠️ Engineering & Product Prototype features that need real-world data without owning a crawler Replace fragile in-house scrapers with a managed Actor Wire datasets into your apps via the Apify API or webhooks Skip the proxy, retry, and parsing maintenance entirely

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity
• 🅒 Copilot

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❓ Frequently Asked Questions

🔍 How does it work? It collects publicly available car listing data from Gumtree UK and delivers it in structured format with full vehicle specifications.

📊 How accurate is the data? Data reflects live listings visible on Gumtree at the time of the run, including real prices, specs, and seller details.

🌍 Which regions are supported? Gumtree UK listings nationwide. You can filter by location using Gumtree search URLs with location parameters.

📅 Can I schedule this to run automatically? Yes, use Apify's scheduling feature or integrate with platforms like Make or Zapier for daily or weekly market scans.

⚡ How long does a run take? With full details enabled, expect about 1 to 2 seconds per listing. A run of 50 cars typically completes in under 2 minutes.

⚠️ Are there any limits? Free users can collect up to 100 listings per run. Paid users can collect up to 1,000,000 per run.

🔄 What is the "Include Full Details" option? When enabled (default), the scraper visits each listing page to extract 40+ fields including engine specs, fuel economy, emissions, and photos. When disabled, only basic info from the search results is collected, which is faster but with fewer fields.

🔗 Integrate Gumtree Cars Scraper with any app

• Make - Automate workflows
• Zapier - Connect 5000+ apps
• GitHub - Version control integration
• Slack - Get notifications
• Airbyte - Data pipelines
• Google Drive - Export to spreadsheets

🔌 Integrate with any app

Gumtree Cars Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe results into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh data into your product backend, or alert your team in Slack.

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• Autotrader Scraper - extract vehicle listings from Autotrader
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• CarMax Scraper - get inventory and pricing from CarMax

Browse our complete collection of data extraction tools for more.

🚀 Ready to Start?

Create a free account with $5 credit and collect your first 100 car listings for free. No coding, no setup.

🆘 Need Help?

• Check the FAQ section above for common questions
• Visit the Apify support page for documentation and tutorials
• Contact us to request a new scraper, propose a custom project, or report an issue at Tally contact form

⚠️ 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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