Wildberries: scrapers and the official API, compared

Route map

Each line is one way to get Wildberries data; each stop is a field you probably need. Green lines are catalogue Actors, ranked by the published formula.

Field matrix: who returns what

Every tool with a published output schema, against the 7 fields most Wildberries jobs need. A dot means the field name appears in the schema; rows can still leave it empty.

Field dictionary: the exact keys

The same core field has a different key in each Actor's output. Map these before you merge datasets; a dash means the published schema has no matching key. Need a field that is not listed here, such as email? Search every Wildberries Actor by field.

All 9 tools, scored

Catalogue Actors link to their detail pages; the score (0 to 100) is the published formula, identical for every tool. Other Store tools follow in their own table, for reference. Price is the published primary-result rate per 1,000 (the Free-plan rate where the price is tiered; higher Apify plans pay less); start events and platform usage are excluded.

Other Store tools, for reference

Scored with the same published formula and listed for comparison only; this site does not link or recommend them.

Official API route

Free, open-source and no-code routes

• Free monthly credit. Apify's Free plan includes $5 of usage a month (Apify pricing, checked 2026-11-11). At the Free-plan rate of Wildberries Product, Price & Review Scraper ($0.99 per 1,000 results) that covers at most about 5,050 results a month, less start events and platform usage.
• No code. Every catalogue Actor runs from a form in Apify Console, and the results download as CSV, Excel or JSON (Apify datasets). The scored tool table links each one.
• Open source. Popular public GitHub repositories named after Wildberries that scrape, download or export its data (plain names; not run or endorsed here):
  • berenzorn/wildberries: 35 stars, last push Dec 8, 2022, MIT licence, Python.
  From the GitHub search API, read Nov 12, 2026; none of them was pushed in the last two years. Search GitHub for more. Open-source scrapers run on your own machine and IP address, and you update them when Wildberries changes its pages.

How to scrape Wildberries

1. Open Wildberries Product, Price & Review Scraper and start from its default input; its Actor page has the full example input and code.
2. Set the Wildberries search, profile, listing or URL you need and a result limit; the required input is mode.
3. Run it and export the dataset as JSON, CSV or Excel, or call it from the Apify API.

Inputs for real jobs, from the Wildberries Product, Price & Review Scraper README

Search with filters

{
  "mode": "search",
  "searchQuery": "iphone",
  "minPrice": 50000,
  "maxPrice": 150000,
  "minRating": 4,
  "inStockOnly": true,
  "sortBy": "priceup",
  "maxItems": 50
}

Browse a category

{
  "mode": "byCategory",
  "category": "женские платья и сарафаны",
  "sortBy": "rate",
  "maxItems": 100
}

Full product details

{
  "mode": "productDetails",
  "productIds": [
    "863160611",
    "https://www.wildberries.ru/catalog/12345678/detail.aspx"
  ]
}

Call Wildberries Product, Price & Review Scraper from code

The example input uses the Actor's published defaults; set your own Wildberries query before you run it. You need an Apify API token.

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "mode": "productDetails",
    "searchQuery": "iphone",
    "category": "женские платья и сарафаны",
    "productIds": [
        "863160611"
    ],
    "inStockOnly": False,
    "includeImages": True,
    "includeReviews": True,
    "includeSellerInfo": True,
    "maxItems": 1
}

run = client.actor("nimbryxo-studio/wildberries-product-price-and-review-scraper").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "mode": "productDetails",
    "searchQuery": "iphone",
    "category": "женские платья и сарафаны",
    "productIds": [
        "863160611"
    ],
    "inStockOnly": false,
    "includeImages": true,
    "includeReviews": true,
    "includeSellerInfo": true,
    "maxItems": 1
};

const run = await client.actor("nimbryxo-studio/wildberries-product-price-and-review-scraper").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

curl -X POST "https://api.apify.com/v2/actors/nimbryxo-studio~wildberries-product-price-and-review-scraper/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"mode":"productDetails","searchQuery":"iphone","category":"женские платья и сарафаны","productIds":["863160611"],"inStockOnly":false,"includeImages":true,"includeReviews":true,"includeSellerInfo":true,"maxItems":1}'

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=nimbryxo-studio/wildberries-product-price-and-review-scraper",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Questions people ask

More on Wildberries

• Topic groupEcommerce data: every website compared
• ToolWhich Wildberries route fits your job?
• ToolWildberries cost by Apify plan, rows and runs

Related websites

• Ozon1 Actor
• AliExpress1 Actor
• Amazon12 Actors

Sources

• Wildberries Product, Price & Review Scraper on Apify Store
• WB API (Wildberries Seller API) documentation
• Official source, checked 2026-11-12
• Official source, checked 2026-11-12
• Official source, checked 2026-11-12
• Wildberries terms