Gumtree Scraper - Extract UK Classifieds Listings

Gumtree is the UK classifieds board where private sellers and traders post cars, flats, jobs, pets and second-hand goods. We turn those adverts into structured rows.

Gumtree Scraper
Solutions

Gumtree Data Scraper

We run the whole collection job. You name the sections, the towns and the refresh rate; we build the crawler, run it on schedule and hand back clean, structured datasets as CSV, Excel or JSON.

The site is defended: parts of it, search endpoints among them, answer with a JavaScript challenge instead of markup, and a sustained request rate gets shut down. Anti-bot handling, proxy rotation and CAPTCHA solving are part of the service, along with adaptive parsing when the markup shifts.

Most sellers here are private individuals whose adverts show a first name. We collect advert and commercial data only - seller names, phone numbers and message routes are excluded by default.

What We Extract from Gumtree

Each Gumtree section fills its own attribute block, which is why a Gumtree scraper is built per category, not per site. Every advert shares a core:

  • Title, description, price in GBP and posted date - the date is relative, as Posted 5 hours ago, and is resolved against collection time.
  • Location - town and county as displayed, such as Fraserburgh, Aberdeenshire, plus the internal location id behind the area tree.
  • Advert id - a ten-digit number ending the URL and printed as Ad ID. The only stable key: the title slug moves when the advert is edited.
  • Seller type - Private, Trade or Agency. A real field and a search filter, not a guess from the wording.
  • Photo count, image URLs, video flag, and whether the seller ships.
  • Promotion state - Featured, Urgent, Standout, Bump Up and Premium flags, separating paid placement from organic ranking.

Cars carry the deepest block: make, model, registration year, mileage in miles, transmission, fuel type, body type, doors, seats, colour, engine size, CO2, Euro emissions band, insurance group, mpg and Previous Keepers, beside a history check flagging stolen, scrapped, written-off and road-worthy status. Trade adverts add a VAT marker and finance figure. MOT is not a structured field - where it shows, the seller typed it in.

Property splits by intent: To Rent, To Share, Commercial, Parking and Garage, For Sale, To Swap, Property Wanted and Holiday Rentals. Its attributes are property type, bedrooms, bathrooms, date available and a price frequency flag of pm or pw - the same rent figure means a different amount under each. Deposit, furnishing and bills sit in the description, not in attributes, and are parsed from the text. Jobs carry salary text, hours, closing date, immediate-start and work-from-home flags and a company page link; pets carry age and a ready-to-leave date.

What We Extract from Gumtree
What Else Can Be Scraped with Gumtree Scraper

What Else Can Be Scraped with Gumtree Scraper

Beyond the advert body, what matters is how the site is addressed and how far it lets a crawler go:

  • Browse structure - an address stacks section, subcategory and attribute onto a location path, so one make, one model, one town resolve to a single readable URL. A distance control widens the set to a radius around a postcode.
  • Pagination and its ceiling - results come thirty to a page and stop at fifty pages. That is 1,500 adverts per query whatever the headline count says: a London motors browse reported roughly 22,000 matches and still capped there. Coverage comes from splitting a query by town, subcategory and price band.
  • Seller shopfronts - each advert links to the rest of that seller's stock, with a total advert count and how many were posted in the past year. A feedback summary exists but is empty on most accounts - a bonus field, not a dataset.
  • Sitemaps - a robots file, per-section category indexes and an advert sitemap rebuilt every hour. One hourly file in September 2026 listed roughly 2,800 fresh adverts - the cheapest way to catch new stock without re-walking browse pages.

What is missing matters as much: Gumtree shows no per-advert view counter and no seller trust score, so neither appears in what we deliver.

About Gumtree

Gumtree.com is the UK classifieds board, launched in 2000 and run as one national site with local search on top. Seven sections carry the traffic: Cars and Vehicles, For Sale, Services, Property, Pets, Jobs and Community. Everything is in English, priced in GBP, and pinned to a town and county rather than a national catalogue.

The weight sits in used goods and motors. In September 2026 the For Sale section reported roughly 1.46 million live adverts and Motors roughly 386,000, with Jobs near 68,000, Property near 39,000 and Pets near 17,000. Services behaves differently: instead of an advert list it runs a directory of local trades - builders, plumbers, gardeners, electricians, roofers, locksmiths - where the call to action is a quote request rather than a posted price.

The brand also runs separate national sites. Australia, South Africa and Ireland are live on their own domains; the Polish and Singapore editions are gone and the New Zealand domain is parked. They are not mirrors of the UK site - Australia uses a different URL scheme and a different advert layout - so a crawler written against gumtree.com does not transfer. This page covers the UK site.

Get a Quote
dev_w
25

Developers

customers
500+

Customers worldwide

pages
1 500 000 000+

Pages extracted

stime
15000+

Hours saved for our clients

Plans

Airplane

€199 / one-time

setup fee - included

Data limits100,000
Frequencyone-time
Run timeup to 5 days
Data storing7 days

Helicopter

€169 / mo

setup fee €499

Data limits250,000
Frequencymonthly
Run timeup to 5 days
Data storing14 days

Glasses

€229 / mo

setup fee €499

Data limits1,000,000
Frequencyweekly
Run timeup to 5 days
Data storing30 days

DNA

€549 / mo

setup fee €799

Data limits3,000,000
Frequency3 times daily
Run timesame day
Data storing90 days

Why Use Gumtree Web Scraper

Gumtree price data is second-hand price data, a different market from retail. The same phone, mower or sofa clears at a different number here than on any shop shelf, and that gap is what resale margins and residual values are argued over. Gumtree scraping puts it in a table. With our Gumtree data scraper you can:

  • Run price monitoring on used stock - asking prices by make, model, mileage band, condition and region, plus how long an advert stays live.
  • Read supply and demand by area - every browse page prints its subcategories with a live advert count beside each, down to town level.
  • Track competitors - a trade seller's whole shopfront is reachable from any one of its adverts, so a dealer's stock and pricing can be tracked week to week.
  • Separate private from trade - the seller type field strips dealer stock out of a private-market study, or keeps only the dealers.
  • Source leads - cars, property, jobs or services, narrowed to a radius around a postcode.

Gumtree publishes no public API and no partner feed, so a marketplace data feed off this site has to be built.

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About ScrapeIt

ScrapeIt is a managed data extraction company working with marketplaces, retailers and classifieds boards; Gumtree is among the UK sites we cover. We handle the full parsing job - no setup, nothing to maintain. We extract a sample first so you can check the fields against your own model, then run the full job and keep it healthy as the site changes.

Output arrives as CSV, Excel or JSON, on whatever schedule you set, and we reply to enquiries within one business day.

FAQ

Is there a public Gumtree API for listing data?

No. Gumtree runs no developer portal and no partner data feed, so extraction is the only route. We deliver the same fields on your schedule.

Can I export Gumtree data into my own systems?

Yes, we can export the data into formats like CSV, Excel, or JSON - ready to integrate with your workflows.

Can I focus only on specific listing data?

Absolutely. We deliver filtered data based on your requirements, whether by region, category, price band or seller type.

Will I get full details from each advert page?

Yes, we collect the complete advert page - description, images, attributes and the relative posted date resolved to an absolute timestamp.

Is the listing information structured and easy to use?

Yes, all listing information is delivered clean, structured, and ready for analysis without extra processing.

How does it Work?

Step 1 - Make a Request

You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.

Step 2 - Configuring Custom Web Crawlers

Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.

Step 3 - Collect and Deliver

Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.

Step 4 - Maintain and Support

Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.

Request a Quote

Tell us more about you and your project information.
Which sites, which fields, how often. A couple of lines is enough.

We reply within 1 business day. No obligation.

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