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Wildberries Resale Scraper: Secondhand Marketplace Data

Apify Actor Actor Version Actor Price GitHub Issues Last Commit

Scrape the Wildberries Resale second hand marketplace: listing name, condition grade, live and original price, seller, rating, stock, and image URLs. Search by Russian keyword or browse the whole resale segment.

Wildberries Resale Scraper on Apify


Why use Wildberries Resale Scraper

  • Resale sourcing: Scan many Russian keywords in one run to find underpriced used items before they get bought up.
  • Secondhand market research: Measure how big the resale segment is, what categories sell, and how deep the discount runs against original retail.
  • Original item linking: Each resale row can point back to the new listing it came from, so you can compare used pricing against current retail.
  • No manual browsing: Get condition grade, price, seller, and images for hundreds of listings without opening a single page by hand.
  • Optional seller profile: Add the reseller's public shop details when you need to vet who is selling.

How to use Wildberries Resale Scraper

  1. Add one or more Russian search keywords, or leave the list empty to browse the entire resale segment.
  2. Set optional filters for condition grade, price range, sort order, and delivery region.
  3. Click Start: The actor collects every matching resale listing and writes one flat row per item.
  4. Download your results: Export as Excel, CSV, JSON, or HTML from the Output tab.

Input

Field Type Required Description
searchQueries array of strings No Russian or English keywords to search the resale segment (for example "платье", "iphone", "кроссовки"). Add several to scrape them all in one run. Leave empty to browse the entire resale marketplace.
maxResults integer No Maximum number of resale listings to return across all keywords (0 means unlimited, default 100).
condition array of strings No Keep only listings with the selected condition grade(s): New, Perfect, Good, or Has defects. Leave empty to include every condition.
minPrice integer No Only include listings priced at or above this ruble value (0 means no minimum).
maxPrice integer No Only include listings priced at or below this ruble value (0 means no maximum).
sort enum No Order results by popularity, newest first, price high to low, price low to high, or top rated.
region enum No Warehouse region for localized resale pricing and availability.
includeSellerProfile boolean No Add the reseller's public profile (name, legal entity, trademark) to each row.
debugLogging boolean No Turn on detailed run logs for troubleshooting. Not needed for normal use.
proxyConfiguration proxy configuration No Residential proxy (default) is required for reliable access.

Output

Each row in your dataset is one resale listing. All fields are flat with no nested data, so the file opens cleanly in any spreadsheet program.

{
  "productID": "312847659",
  "name": "Куртка кожаная, б/у",
  "brand": "Zara",
  "condition": "Хорошее",
  "price": 3200,
  "originalPrice": 12990,
  "discount": 75,
  "rating": 4.6,
  "feedbacks": 18,
  "totalQuantity": 1,
  "inStock": true,
  "supplier": "Мария К.",
  "supplierId": 887412,
  "supplierRating": 4.9,
  "originProductID": "298104512",
  "originProductUrl": "https://www.wildberries.ru/catalog/298104512/detail.aspx",
  "sizes": ["M"],
  "imageUrl": "https://images.wildberries.ru/312847659/big/1.webp"
}

Data table

Field Type Description
productID string Resale listing identifier
name string Listing title
brand string Brand name
condition string Condition grade, when Wildberries provides one
price number Current resale price in rubles
originalPrice number Original retail price, when the listing references it
discount number Discount percent versus original price
rating number Listing or seller rating
feedbacks number Number of reviews
totalQuantity number Units in stock
inStock boolean Whether the listing is currently available
supplier string Seller display name
supplierId number Seller identifier
supplierRating number Seller rating
originProductID string Identifier of the original new product, when available
originProductUrl string Link to the original new product listing
sizes array Available sizes
imageUrl string Working image URL for the listing

Pricing

$4.39 per 1,000 results. No monthly subscriptions and no minimum commits. New Apify accounts include $5 of free usage, so you can try it before you pay.

You only pay for the records you collect. A typical run of 100 listings completes in under 60 seconds.


Quick start

Create a .env file from .env.example, add your Apify API token, and run:

npm install
npm start

The script uses the Apify API client to start the actor and fetch results.


Tips and optimization

  • Batch your keywords: Add every Russian search term you care about in a single run instead of starting many separate runs.
  • Filter by condition and price early: Narrowing the input reduces the number of listings you have to sort through afterward.
  • Skip seller profile unless needed: Leave includeSellerProfile off for faster runs when you only need listing data.
  • Set a realistic maxResults: Cap results to what you actually need to keep runs fast and predictable.

FAQ

Does this cover the regular Wildberries catalog too? No. This actor only covers the Resale segment, the secondhand marketplace where individuals resell used items. For the regular catalog, see the Wildberries Scraper actor.

What language do keywords need to be in? Russian keywords return the most results since the marketplace is Russian, but English terms often work too.

Why is a condition grade sometimes missing? Wildberries does not always expose a condition grade for every listing. When it is missing, the field is left out of that row rather than filled in with a guess.


Support

For bug reports, missing fields, or feature requests, open an issue under the Issues tab.

About

Scrape the Wildberries Resale second hand marketplace: listing name, condition grade, live and original price, seller, rating, stock, and image URLs. Search by Russian keyword or browse the whole resale segment.

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