Depop Scraper for Resale Listings and Prices

A Depop listing shows how many people have it in their bag and how many offers it has drawn. Our Depop scraper records that demand with brand, size, condition and price.

Plans from €169/month · Free project assessment · Reply within 1 business day

Depop Scraper
Solutions

Depop scraping, run for you

You name the slice of Depop you need - brands, departments and item types such as women's jeans or men's tops, search terms, sizes, conditions, price bands, one market or several - and the cadence. We build the crawler, run it and keep it working when Depop reshapes its pages. Listing details and the demand counters render with scripts, and the site screens automated visitors, so browser rendering, pacing, proxy rotation and CAPTCHA handling come with the service.

We never log in, so nothing from inside an account reaches the data. Usernames stay out of the files by default; a business seller trading under a shop name can be named when it is the subject. Files arrive as CSV, XLSX, JSON or XML, via our API, Dropbox, Google Drive or e-mail.

Depop dataset: listing fields we extract

Depop builds each listing address under /products/ from a form of the seller's username, a slug of the title and a short code. Our Depop scraper keeps the slug and code as the listing key and drops the username by default. Each row describes one item the way a visitor sees it:

  • Listing - the seller's free-text description with its hashtags, the standard title Depop generates from brand, department, colour and item type (Levi's Women's Blue and Navy Jeans, for example), and photo links.
  • Category path - the breadcrumb from Brands through department to item type, such as Women, Bottoms, Jeans.
  • Attributes - brand, size (a letter size, a waist in inches, or Multiple sizes when one listing holds several), colour and condition on Depop's five-step scale: Brand new, Like new, Used - Excellent, Used - Good, Used - Fair.
  • Price - the headline price and its currency, plus the crossed-out earlier price and the reduced one when an item is on sale.
  • Demand - the likes counter and the two lines above the title, worded like In 2 people's bags and 2 offers sent.
  • Buying options and dispatch - Buy now and Make offer, the Buyer Protection line, and the seller's usual dispatch time as Depop states it, such as often ships in 2 days.
  • Shop signals - the sold count and number of reviews shown beside the shop, kept as listing-level numbers without the username.

Search pages give brand, size and price for every card plus a result count, so a market scan can start broad and open listing pages only where condition, colour and the demand counters are needed.

Depop dataset: listing fields we extract
Depop price history, trends and search coverage

Depop price history, trends and search coverage

Every Depop item is a single piece, and once it sells it cannot be bought again, so the useful data is built over time:

  • Price cuts. Sellers lower prices and put items on sale, and the crossed-out figure shows the step. Re-reading the same listings daily records each reduction with its date.
  • Sold and removed items. A listing that turns sold between two daily runs gives a sale date to within a day and the last asking price - the closest public signal of what the piece fetched.
  • Search coverage. Results filter by category, brand, price, size, colour and condition, narrow to items On sale, and sort by relevance, price, Most Popular or Newly Listed. We cut a large brand or category into these slices to reach the long tail.
  • Trend data. The home page publishes Popular this week searches with their growth in searches, curated style edits and popular brands - a ready trend feed when collected weekly.
  • Country markets. The country picker lists Australia, Canada, France, Germany, Ireland, Italy, New Zealand, the United Kingdom and the United States; we run each market on its own and keep the currency with every row.

Seller reviews, usernames and profile pages mostly describe private people, so they stay out of the files by default.

About Depop and how it is organised

Depop is a peer-to-peer marketplace for preloved and vintage fashion, founded in 2011 and based in London. It now belongs to eBay, which bought it from Etsy, and it has kept its name and its own site. The home page counts tens of millions of items for sale and more than a million new listings a day, most of them one-off pieces.

The catalogue is organised by department - Women, Men, Kids - then by group and item type, with Brands, Sports, Trending and Sale as entry points, Shop by style edits such as Detroit jackets or Lightweight knits, and Shop by price pages. A listing is written by the seller: free text, often thick with hashtags, plus structured brand, size, colour and condition. Depop adds its own layer on top - a standardised title, Buyer Protection on every purchase made through the site, and the choice to buy at the asking price or make an offer.

Prices shift with the viewer. The headline figure leaves shipping out and, for a buyer in another country, can already include import tax, so the same listing can show different figures to visitors in different countries. Results and recommendation rows also mix listings priced in different currencies.

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

Depop Scraping Plans and Pricing

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

Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.

Full plan details →

Why scrape Depop

Depop is trend-led, and its listings show interest before a sale happens. That makes it an early read on resale prices and on which styles are rising.

  • Resale value by brand and condition. Asking prices by brand, item type and the five condition grades show what a label keeps once worn - and how much Like new is worth over Used - Good.
  • Demand before the sale. Likes, bag counts and offers sent show which pieces attract interest at which price; paired with later price cuts they show where sellers had to give way.
  • Trend spotting. Popular this week searches, style edits and the hashtags in descriptions surface rising terms - a coat cut, a boot, a vintage label - as they climb.
  • Sourcing for resellers. Under-priced listings by brand and size, and sell-through by category, guide what vintage and resale businesses buy and how they price it.
  • Brand protection. Brand filters and listing photos help spot counterfeit or grey-market stock offered as Brand new.
  • Market comparison. One brand across the United States, the United Kingdom and Australia shows where it trades higher once currency and shipping are set aside.

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About ScrapeIt

ScrapeIt runs web scraping as a managed service: we design the crawl, keep it running and send the files. Resale marketplaces are a regular kind of source for us, with one-off items, fast sell-through and prices that differ by viewer. We assess each project for free, a sample can be ordered first, and personal data is handled under GDPR - usernames, seller reviews and profile photos are dropped unless a business seller is the subject. Plans start from EUR 169 a month, or EUR 199 for a one-time extract.

FAQ

Do you offer a Depop API for listing data?

Yes. The ScrapeIt Depop API delivers the listing key, brand, size, condition, headline price with currency, and the likes and offers-sent counts as JSON from an endpoint we host, on the refresh schedule you pick. The same records also come as CSV or XLSX files, a JSON feed or straight into your database. An MCP server is available on request.

Is it legal to scrape Depop?

Yes. Listings, prices, sizes, conditions and search results on Depop are shown to anyone who opens the site, with no account needed. We collect only publicly available data - all of it visible to an ordinary Depop visitor - and we collect it legally. Usernames and seller reviews are left out by default.

Can you track Depop sold listings?

Yes, by revisiting listings. A sold item can no longer be bought and its page switches to a sold notice, so one crawl cannot see the sale happen. We re-read the listings in your scope on a schedule, record the run in which each one turns sold or disappears, and keep its last asking price, condition and demand counters.

Do Depop prices include shipping?

Not in the headline figure. The price on a card or listing page leaves shipping out; shipping is a separate amount. For a buyer in another country the headline figure can already include import tax, so we keep the price as displayed, its currency and the market it was read from in separate columns.

Are Depop prices in USD for every market?

No. Depop shows prices in more than one currency, and a single results page or recommendation row can mix US dollars, euros and other currencies. We store the currency code beside every price and can deliver each market as its own file or one table with a market column.

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.

Depop data from €169/month. Free project assessment, reply within 1 business day.

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