Depop Scraper - Listings, Shops, Sellers & Reviews

Depop Scraper - Listings, Shops, Sellers & Reviews

Depop Scraper extracts Depop listings, whole shops, and seller reviews into structured data: prices with shipping and discounts, brand, condition, sizes, colours, photos, likes, and seller ratings. Search Depop by keyword with filters, paste product, search, or shop links, or pull every review a seller has received.

Search 9 Depop marketplaces (US, UK, AU, CA, NZ, DE, FR, IT, IE) with price, brand, condition, colour, size, department and product type filters, paste any product, search or shop URL, or export a seller's full review history, with 60+ fields per listing and optional detail enrichment.

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Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.

Actor: parsebird/depop-scraper — scrapes Depop listings, shops and seller reviews. Input: {"mode": "search"|"url"|"reviews" (default "search"), "queries": ["nike vintage"] (search mode), "urls": ["https://www.depop.com/products/<slug>/", "https://www.depop.com/search/?q=carhartt", "https://www.depop.com/<username>/"] (url mode; product, search or shop links, optional /gb/ style country prefix), "sellers": ["username", "https://www.depop.com/username/", "443393193"] (reviews mode), "reviewRole": "seller"|"buyer", "includeSoldItems": false (shop links), "country": "us"|"gb"|"au"|"ca"|"nz"|"de"|"fr"|"it"|"ie" (default "us"), "sortBy": "relevance"|"price-asc"|"price-desc", "minPrice": 20, "maxPrice": 100, "gender": "any"|"female"|"male"|"unisex", "conditions": ["brand_new","used_like_new","used_excellent","used_good","used_fair"], "brands": ["270"] (numeric brand IDs), "groups": ["footwear"], "productTypes": ["sneakers"], "colours": ["black"], "sizes": ["4.16"], "maxListings": 20 (0 = unlimited), "maxPages": 0 (0 = no cap, 24 items per page), "fetchDetails": false, "incrementalMode": false, "stateKey": "", "emitExpired": false, "ignoreFieldsForChanges": [], "resumeFromRunId": "", "proxy": {"useApifyProxy": true}}. Run via ApifyClient("YOUR_TOKEN").actor("parsebird/depop-scraper").call(run_input=input). Output (listings): id, slug, url, title, description, price, totalPrice, originalPrice, shippingCost, nationalShippingCost, buyerFee, tax, taxType, shippingId, currency, isReduced, discountPercentage, status, isSold, brandName, brandId, condition, conditionName, colours, categoryName, group, productType, gender, isKids, sizes [{id, name, quantity, filterId}], variants, quantity, material, age, style, source, sku, likeCount, pictures, mainPicture, pictureCount, location, countryCode, isBoosted, hasFreeShipping, createdAt, updatedAt, sellerId, sellerUsername, sellerUrl, sellerVerified, sellerItemsSold, sellerReviewsRating, sellerReviewsTotal, sellerLastSeen, sellerAverageShippingDays, scrapedFrom, searchQuery, scrapedAt, raw. Output (reviews): id, kind, role, rating, text, date, transactionId, authorId, authorUsername, authorVerified, productId, productPicture, sellerId, sellerUsername, sellerUrl, sellerVerified, sellerBio, sellerFollowers, sellerFollowing, sellerReviewsTotal, sellerReviewsRating, sellerItemsSold, sellerPictureUrl, raw. Incremental mode adds changeType (NEW/UPDATED/REAPPEARED/EXPIRED), changedFields, firstSeenAt, lastSeenAt. Pricing: pay per result plus optional per-listing enrichment. Get your API token at https://console.apify.com/account#/integrations. Full API spec: https://apify.com/parsebird/depop-scraper/api

What is Depop Scraper?

Depop Scraper is a Depop data extraction tool that turns what Depop shows on its search, product, and shop pages into clean rows you can download or read over the API. Depop has no public API for marketplace data, so this scraper works as a Depop API alternative for resellers, brands, and analysts.

The easiest way to try it: keep the prefilled keyword (nike vintage), click Start, and open the dataset. You get 20 listings with price, shipping, brand, condition, sizes, colours, photos, and likes in under a minute.

No Depop account or cookies are needed.

What can Depop Scraper do?

• 🔎 Keyword search — run one or many searches on Depop with the same filters the website has: price range, brand, condition, colour, size, department, product type, and gender.
• 🌍 9 marketplaces — search the US, UK, Australia, Canada, New Zealand, Germany, France, Italy, or Ireland, with prices and shipping in the local currency.
• 🔗 Paste URLs — product pages, search result pages (filters in the link are kept), and whole shops, including a shop's sold items if you want them.
• ⭐ Seller reviews — every review a seller received as a seller (or as a buyer), with rating, text, date, reviewer, and the product reviewed, plus the seller's followers, items sold, and average rating.
• 🧾 Detail enrichment — turn on Fetch full listing details to add the listing title, condition name, like count, national shipping cost, free-shipping flag, and seller username, rating, review count, items sold, last-seen status, and average shipping time.
• 🔁 Incremental monitoring — schedule the same search, shop, or seller and get only new, updated, and reappeared items on each run, with an optional EXPIRED row for items that disappeared.
• ⏯️ Resume — continue an earlier run by its ID and collect only items that weren't in it yet.

Because Depop Scraper runs on the Apify platform, you also get:

• ⏰ Scheduling to track prices, new drops, or a competitor's shop daily or weekly.
• 🔌 API access and client libraries for Python and JavaScript.
• 🔗 Integrations with Make, Zapier, Google Sheets, Slack, webhooks, and more.
• 📦 Export to JSON, CSV, Excel, XML, or HTML from the Storage tab or the API.

What data can you extract from Depop?

Listing rows (Search and URL modes)

Field	Description
id / slug / url	Depop product ID, slug, and product page link
title	Listing title as Depop shows it (with detail enrichment or product URLs)
description	The seller's full listing description, hashtags included
price / originalPrice / currency	Current item price, price before reduction, and currency
isReduced / discountPercentage	Whether the item is on sale and by how much
shippingCost / nationalShippingCost / hasFreeShipping	Shipping prices and free-shipping flag
totalPrice / buyerFee / tax	Price breakdown Depop returns for the request's location
brandName / brandId	Brand and its numeric Depop ID (use it in the Brand IDs filter)
condition / conditionName	Condition slug (e.g. used_excellent) and label (e.g. "Excellent condition")
colours, material, style, age, source	Item attributes the seller picked, e.g. black, polyester, streetwear, y2k, vintage
categoryName / group / productType / gender / isKids	Category, department, product type, and department gender
sizes / variants / quantity	Sizes with stock per size (filterId is the ID for the Size filter)
likeCount	Number of likes
pictures / mainPicture / pictureCount	Full-size photo URLs
status / isSold	ONSALE, PURCHASED, and so on
location / countryCode	Where the item ships from
isBoosted	Whether the listing was a boosted (promoted) search result
sellerUsername / sellerUrl / sellerVerified	Seller identity (shop links and detail enrichment)
sellerItemsSold / sellerReviewsRating / sellerReviewsTotal	Seller track record
sellerLastSeen / sellerAverageShippingDays	Seller activity (detail enrichment)
raw	The original Depop objects, for anything not flattened above

Review rows (Reviews mode): rating, text, date, role, transactionId, reviewer (authorId, authorUsername, authorVerified), the reviewed product (productId, productPicture), and the seller's profile (sellerUsername, sellerBio, sellerFollowers, sellerFollowing, sellerReviewsTotal, sellerReviewsRating, sellerItemsSold, sellerPictureUrl).

Search results don't carry seller details or a title. Turn on Fetch full listing details when you need them. Shop links always include the shop's seller stats.

How to scrape Depop

1. Open Depop Scraper and click Try for free.
2. Pick a Mode: Search by keyword, Paste Depop URLs, or Seller reviews.
3. Fill in that mode's field: keywords (plus any filters), links, or seller usernames.
4. Set Max items to control how many rows you get (and what you pay), and turn on Fetch full listing details if you need titles and seller stats.
5. Click Start. Rows appear in the dataset as they're scraped.
6. Download the results as JSON, CSV, or Excel, or read them through the API.

Input parameters

Parameter	Type	Required	Default	Description
mode	string	No	search	search, url, or reviews
queries	array	Search mode	—	Keywords; each runs its own paginated search, results are combined and de-duplicated
urls	array	URL mode	—	Product, search, or shop URLs. A /gb/-style prefix sets the country for that link
sellers	array	Reviews mode	—	Usernames, shop URLs, or numeric user IDs
reviewRole	string	No	seller	seller (reviews left by buyers) or buyer (reviews left by sellers)
includeSoldItems	boolean	No	false	Shop links: also walk the shop's sold items
country	string	No	us	us, gb, au, ca, nz, de, fr, it, ie; also the default for URLs without a country
sortBy	string	No	relevance	relevance, price-asc, price-desc
minPrice / maxPrice	integer	No	—	Price range in the marketplace currency
gender	string	No	any	any, female, male, unisex
conditions	array	No	—	brand_new, used_like_new, used_excellent, used_good, used_fair
brands	array	No	—	Numeric brand IDs, e.g. 270 for Nike
groups	array	No	—	Department slugs, e.g. tops, footwear, coats-jackets
productTypes	array	No	—	Product type slugs, e.g. sneakers, boots, jeans
colours	array	No	—	Colour slugs, e.g. black, pink, multi
sizes	array	No	—	Size IDs like 4.16 (from a Depop search URL or sizes[].filterId)
maxListings	integer	No	20	Total rows across all inputs; 0 = unlimited
maxPages	integer	No	0	Pages per keyword, URL, shop, or seller (24 per page); 0 = no cap
fetchDetails	boolean	No	false	Add title, condition name, likes, and seller stats per listing (enrichment charge)
proxy	object	No	Apify Proxy	Datacenter by default; Residential is tried automatically after repeated refusals when your plan has it
incrementalMode	boolean	No	false	Return only NEW, UPDATED, and REAPPEARED items after the first run
stateKey	string	No	auto	Name or share a monitoring campaign
emitExpired	boolean	No	false	Also return items that disappeared, marked EXPIRED
ignoreFieldsForChanges	array	No	[]	Extra fields that should not count as an update
resumeFromRunId	string	No	—	Skip items already collected in an earlier run or dataset

The search filters apply to Search mode only. In URL mode, filters already in a pasted search link are used.

Example: search with filters

{
  "mode": "search",
  "queries": ["nike vintage", "carhartt jacket"],
  "country": "us",
  "sortBy": "price-asc",
  "minPrice": 20,
  "maxPrice": 100,
  "maxPages": 5
}

Example: brand and condition filters, with detail enrichment

{
  "mode": "search",
  "queries": ["shoes"],
  "country": "gb",
  "brands": ["270"],
  "conditions": ["used_like_new", "used_excellent"],
  "fetchDetails": true,
  "maxListings": 50
}

Example: paste a product, a search page, and a whole shop

{
  "mode": "url",
  "urls": [
    "https://www.depop.com/products/sampleseller-sample-item-0000/",
    "https://www.depop.com/search/?q=carhartt&conditions=used_excellent",
    "https://www.depop.com/sampleseller/"
  ],
  "maxPages": 3
}

Example: every review for two sellers

{
  "mode": "reviews",
  "sellers": ["sampleseller", "https://www.depop.com/anotherseller/"],
  "reviewRole": "seller",
  "maxListings": 0
}

Output example

A listing from a UK search with Fetch full listing details on (seller and IDs replaced with samples, raw omitted):

{
  "id": "900000001",
  "slug": "sampleseller-uk-size-45-lightly-worn-0000",
  "url": "https://www.depop.com/products/sampleseller-uk-size-45-lightly-worn-0000/",
  "title": "Nike Kids' Multi First-shoes-baby-shoes",
  "description": "Uk size 4.5 lightly worn baby shoes",
  "price": 10.2,
  "totalPrice": 14.4,
  "originalPrice": 12,
  "shippingCost": 2.99,
  "nationalShippingCost": 2.99,
  "buyerFee": 1.21,
  "tax": 0,
  "taxType": "n/a",
  "shippingId": "MY_HERMES",
  "currency": "GBP",
  "isReduced": true,
  "discountPercentage": 15,
  "status": "ONSALE",
  "isSold": false,
  "brandName": "Nike",
  "brandId": "270",
  "condition": "used_excellent",
  "conditionName": "Excellent condition",
  "colours": ["white", "multi"],
  "categoryName": "Shoes",
  "group": "footwear",
  "productType": "first-shoes-baby-shoes",
  "gender": "unisex",
  "isKids": true,
  "sizes": [{ "id": 6, "name": "4.5", "quantity": 1, "filterId": "102.6" }],
  "likeCount": 0,
  "pictures": ["https://media-photos.depop.com/r1/00000000/0000000000_0000/P0.jpg"],
  "mainPicture": "https://media-photos.depop.com/r1/00000000/0000000000_0000/P0.jpg",
  "pictureCount": 8,
  "location": "Watford, United Kingdom",
  "countryCode": "GB",
  "isBoosted": false,
  "hasFreeShipping": false,
  "sellerId": "00000000",
  "sellerUsername": "sampleseller",
  "sellerUrl": "https://www.depop.com/sampleseller/",
  "sellerVerified": false,
  "sellerItemsSold": 0,
  "sellerReviewsRating": 0,
  "sellerReviewsTotal": 0,
  "sellerLastSeen": "active_this_week",
  "scrapedFrom": "search",
  "searchQuery": "shoes",
  "scrapedAt": "2026-10-04T08:18:40.899Z"
}

A review row from Reviews mode (raw omitted):

{
  "id": "300000001-seller",
  "kind": "review",
  "role": "seller",
  "rating": 5,
  "text": "Excellent",
  "date": "2026-08-13T07:05:10.885372Z",
  "transactionId": "300000001",
  "authorId": "200000001",
  "authorUsername": "samplebuyer",
  "authorVerified": false,
  "productId": "800000001",
  "productPicture": "https://media-photos.depop.com/b1/00000000/0000000000_0000/P0.jpg",
  "sellerId": "00000000",
  "sellerUsername": "sampleseller",
  "sellerUrl": "https://www.depop.com/sampleseller/",
  "sellerVerified": false,
  "sellerFollowers": 18547,
  "sellerFollowing": 3980,
  "sellerReviewsTotal": 1782,
  "sellerReviewsRating": 4.85,
  "sellerItemsSold": 6138,
  "scrapedAt": "2026-10-04T08:25:19.240Z"
}

You can download the dataset in JSON, CSV, Excel, XML, or HTML.

Use cases

• Reseller pricing — check what comparable items list for on Depop before you price your own stock.
• Sourcing and deal hunting — scan keywords with price, size, and condition filters and catch reduced items.
• Competitor shop tracking — export a rival shop's active and sold items and watch new listings with incremental mode.
• Brand and trend research — compare brands, styles (y2k, streetwear), and price levels across the US, UK, Australia, and Europe.
• Seller due diligence — pull a seller's full review history, rating, and items sold before partnering or buying in bulk.
• Resale market datasets — build training or analysis data from listing descriptions, photos, and attributes.

How it works

1. Depop Scraper reads the same listing data the Depop website loads for search, product, and shop pages.
2. Each keyword, search URL, shop, or seller is paged 24 items at a time until Max pages or Max items is reached, Depop says there are no more results, or a page repeats items already seen.
3. With Fetch full listing details on, it also loads each listing's detail data to add the title, condition name, and seller stats.
4. Listings found in several searches are saved once. Rows are saved to the dataset as soon as they're ready.
5. Requests go through Apify Proxy. When Depop refuses a connection, the scraper retries on a fresh IP and, if your plan includes it, tries Apify Residential as well.

How much does it cost to scrape Depop?

Depop Scraper uses pay-per-event pricing. You pay for each row saved, plus a small enrichment fee for each listing whose detail data is fetched when Fetch full listing details is on. There's no extra charge for compute or proxies.

Event	Free plan	Bronze	Silver	Gold
result — per listing or review saved	$0.00149	$0.00129	$0.00109	$0.00089
enrichment — per listing detail fetched	$0.00079	$0.00069	$0.00059	$0.00049
Per 1,000 results	$1.49	$1.29	$1.09	$0.89
Per 1,000 enrichments	$0.79	$0.69	$0.59	$0.49

For example, 1,000 listings from a keyword search cost $1.49 on the Free plan, or $2.28 with detail enrichment. Product URLs already include detail data and are charged as a result only. Use Max items or a spending limit to cap a run. Apify's Free plan includes monthly platform credits you can use to try the scraper.

Use Depop Scraper with the API

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("parsebird/depop-scraper").call(run_input={
    "mode": "search",
    "queries": ["carhartt jacket"],
    "country": "us",
    "maxPrice": 80,
    "conditions": ["used_excellent", "used_like_new"],
    "maxListings": 100,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["price"], item["currency"], item["brandName"], item["url"])

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('parsebird/depop-scraper').call({
    mode: 'reviews',
    sellers: ['sampleseller'],
    reviewRole: 'seller',
    maxListings: 0,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
const avg = items.reduce((s, r) => s + r.rating, 0) / items.length;
console.log(`${items.length} reviews, average ${avg.toFixed(2)}`);

See the API tab for all endpoints and the Apify API client docs for more options.

Is it legal to scrape Depop?

Depop Scraper only reads data that Depop shows publicly to logged-out visitors: listings, shop pages, and seller reviews. It does not log in or access private messages, orders, or account data. Listings and reviews can contain personal data such as usernames and locations, so make sure your use complies with data protection laws such as GDPR, Depop's terms, and other rules that apply to you, and consult a lawyer if in doubt. Read more in Apify's post Is web scraping legal?

Other resale and marketplace scrapers

• Vinted Scraper — Vinted listings from search, category, or seller pages with price, size, and seller info.
• Mercari US Scraper — Mercari US listings with prices, condition, and seller data.
• Mercari Japan Scraper — listings from Mercari Japan.
• eBay Sold Listings Scraper — sold prices on eBay for price research.
• OfferUp Scraper — OfferUp listings and prices.
• Ebay Kleinanzeigen Scraper — classified ads from kleinanzeigen.de.
• Faire Scraper — wholesale brands and products on Faire.

FAQ

Do I need a Depop account? No. Depop Scraper works without login or cookies.

Why are title and sellerUsername empty on some rows? Depop's search results don't include a title or seller details. Turn on Fetch full listing details to add them. Rows from shop links always include the shop's seller details, and product URLs always include everything.

Can I sort by newest? No. Depop doesn't serve the "Newly listed" order to automated clients, so the scraper offers relevance and price sorting. If you paste a search URL with sort=newlyListed, it runs in relevance order and the log says so. To catch new listings, schedule the same search with Incremental mode on: each run returns only items it hasn't seen before.

How do I find brand and size IDs? Pick the brand or size filter on depop.com and copy the value after brands= or sizes= in the address bar, or read brandId and sizes[].filterId from this scraper's output. For example, Nike is 270.

Why do totalPrice, buyerFee, and tax differ between runs? Depop calculates the buyer fee and tax for the location a request comes from, and proxy IPs change between runs. price is the seller's own price and doesn't depend on location. Incremental mode ignores these location-dependent fields when it decides whether an item changed.

How many results can one search return? A search runs until Depop reports no more results. In testing, a 234-result search (levis 501, Australia) returned 232 unique listings with no page cap.

Which proxy should I use? The default Apify Proxy works on every plan. If Depop refuses connections repeatedly, the scraper rotates IPs and, when your plan includes it, also tries Apify Residential. Choosing Residential in the proxy settings gives the steadiest runs.

How does incremental mode decide what changed? It compares each listing's fields with the previous run of the same setup (same mode, inputs, and filters, or the same State key). Seller stats, likes, the boosted flag, and location-dependent fees are ignored. With detail enrichment on, listings whose search data hasn't changed are skipped without fetching their details again, so quiet runs cost very little.

Can I schedule runs and connect them to other tools? Yes. Use Apify schedules and connect the results to Google Sheets, Slack, Make, Zapier, or webhooks through integrations.

Something isn't working. Where do I report it? Open an issue on the Issues tab. Include the run ID and we'll take a look.