The Entire Iherb Supplements Catalog, Captured End-to-End in 3 Days
Scraping supplement products from iHerb.com with full details, including descriptions and packaging variations.
Learn MoreGumtree 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.
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.
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:
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.
Beyond the advert body, what matters is how the site is addressed and how far it lets a crawler go:
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.
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.
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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:
Gumtree publishes no public API and no partner feed, so a marketplace data feed off this site has to be built.
Scraping supplement products from iHerb.com with full details, including descriptions and packaging variations.
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Learn MoreLearn how to use web scraping to solve data problems for your organization
If you sell online, run a marketplace, or advise e-commerce clients, you already know why eBay matters: it’s one of the few places where big retailers compete side by side with thousands of small merchants and private sellers.
E-commerce teams do not just need “some” competitor data anymore. They need a continuous stream of real prices, discounts, stock levels, reviews, and seller behavior from the platforms that actually shape their markets.
Amazon provides valuable information gathered in one place: products, reviews, ratings, exclusive offers, news, etc. So scraping data from Amazon will help solve the problems of the time-consuming process of extracting data from e-commerce.
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.
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.
Yes, we can export the data into formats like CSV, Excel, or JSON - ready to integrate with your workflows.
Absolutely. We deliver filtered data based on your requirements, whether by region, category, price band or seller type.
Yes, we collect the complete advert page - description, images, attributes and the relative posted date resolved to an absolute timestamp.
Yes, all listing information is delivered clean, structured, and ready for analysis without extra processing.
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.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582