Wildberries Scraper: Products, Prices, Reviews & Seller Data

Wildberries Scraper turns wildberries.ru, the largest marketplace in Russia, into structured product, review and seller data. Search any keyword and collect wallet (discounted) and retail prices, discount percentages, stock, ratings and seller identity for every result, or paste product links for their review surface and seller links for the seller's legal registration record. Export to JSON, CSV or Excel, or read the dataset straight through the API.

Why This Scraper?

• Two ways to collect data: a keyword search that walks result pages in order, or pasted links (search, product or seller pages), each classified and read on its own path.
• Wallet vs retail pricing: both prices come straight from the marketplace's own pricing object; the discount percentage and discount flag are computed from those two values, never guessed.
• Reviews attached per product: a rating summary (average, total count, per-star distribution, counts with text or photo) plus the most recent review rows, capped to the number you choose.
• Every search result row names its seller (id, storefront name, rating); pasted seller links resolve the seller's legal registration record (name, trademark, INN, OGRN/IP and related fields).
• Incremental monitoring for recurring runs: records are classified NEW, UPDATED or UNCHANGED against a saved baseline by default. EXPIRED needs the current run to have Emit expired on and to scan the whole scope end to end; REAPPEARED only ever follows a record an earlier such run already marked EXPIRED.
• Resume continues one interrupted run without re-emitting or re-billing the records it already collected.
• Pipes results into your apps through MCP connectors (optional) and never changes the dataset when doing so.

Use Cases

• Price monitoring: track wallet vs retail prices and discount depth across a niche on a schedule, and see exactly what changed since the last run.
• Seller and marketplace research: map which sellers dominate a category, along with their storefront rating and legal registration details.
• Catalog and assortment analytics: build structured datasets of products, stock levels and delivery windows for a search or category.
• Customer feedback analysis: pull rating distributions and review text to gauge sentiment for a product line.
• Competitive intelligence: paste a competitor's product or seller links to track their pricing and review growth over time.

Data You Get

Sample shape: values are illustrative placeholders, not from a live listing.

Field	Example
kind	"product" (also "seller")
recordId	"nm:264193008"
nmId	264193008
rootId	264193000
url	"https://www.wildberries.ru/catalog/264193000/detail.aspx"
name	"Ceramic Travel Mug 350 ml Slate Blue"
brand	"Zelwick"
price	1290.0 (wallet price, RUB)
priceRetail	2150.0 (retail price, RUB)
discountPercent / hasDiscount	40 / true
currency	"RUB"
rating / reviewRating	4 / 4.6
feedbacksCount	812
stock	156
warehouseIds	[512033]
deliveryDaysMin / deliveryDaysMax	12 / 36
supplierId / supplierName	71820456 / "Orinvale Trade"
supplierRating	4.7
imageUrl	a product image URL on the marketplace's own CDN
feedbackSummary.valuation / .distribution	"4.6" / {"1": 12, "2": 9, "3": 41, "4": 210, "5": 540}
feedbacks[0].text / .rating	"Keeps tea hot for hours, exactly as pictured." / 5
feedbacks[0].createdDate	"2026-07-14T09:22:00+03:00"
sellerFullName (seller records)	"Individual Entrepreneur Orinvale D.K."
inn / ogrnip (seller records)	"5027098431" / "321500000045678"
changeType (incremental mode)	"NEW"

Seller records carry the seller's legal name, trademark, INN, OGRN/IP, KPP and related registration fields in place of the product fields above. A product read from a pasted product link carries only the review surface (rating summary and review rows); its name, price, rating and seller fields are empty, since that surface does not carry them, only search mode does. The per-product detail card (description, characteristics) is served from the source's static card storage and is not present for every product; when it is absent, the detail surcharge is not applied, and in incremental mode the previous run's description and characteristics are carried forward instead of being cleared. A product's per-warehouse stock breakdown is not exposed by the open surfaces; records carry the total stock and the warehouses the current offer ships from. The rating summary and review rows come from the marketplace's open review surface, which returns the most recent roughly one thousand review rows per product; older reviews beyond that window are not exposed by that surface.

How to Use

1. Pick a mode: search (by keyword) or url (paste search, product or seller links).
2. Fill in the fields for that mode, and switch on reviews or full details if you need them.
3. Set Max items (and Max pages for deep searches) to control run size and cost, then click Start.
4. Download the dataset as JSON, CSV or Excel, or read it through the API.

Search a keyword (3 products, cheapest possible run):

{
  "mode": "search",
  "query": "iphone",
  "maxItems": 3,
  "maxPages": 1
}

Monitor a filtered niche daily:

{
  "mode": "search",
  "query": "running shoes",
  "sortBy": "priceup",
  "priceMin": 3000,
  "priceMax": 8000,
  "minRating": 4,
  "maxItems": 0,
  "maxPages": 5,
  "incrementalMode": true,
  "stateKey": "running-shoes-campaign"
}

Read specific pages (search link, product reviews, seller registry):

{
  "mode": "url",
  "urls": [
    "https://www.wildberries.ru/catalog/0/search.aspx?search=headphones",
    "https://www.wildberries.ru/catalog/186510487/detail.aspx",
    "https://www.wildberries.ru/seller/250150687"
  ],
  "maxFeedbacksPerProduct": 10
}

Pull full detail cards for a small batch:

{
  "mode": "search",
  "query": "kettle",
  "maxItems": 10,
  "fetchDetails": true,
  "maxFeedbacksPerProduct": 5
}

Run it from your code

Python:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("abotapi/wildberries-marketplace-scraper").call(
    run_input={"mode": "search", "query": "iphone", "maxItems": 20})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["name"], item["price"], item["supplierName"])

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('abotapi/wildberries-marketplace-scraper').call({
  mode: 'search', query: 'iphone', maxItems: 20,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Or connect it to Make, Zapier, n8n, Google Sheets or webhooks from the Integrations tab.

Resume and recurring updates

Two different things, easy to confuse:

• Resume (resumeFromRunId) continues one interrupted run: paste its run or dataset id and the actor skips every record it already collected there, so you don't pay twice. In search mode it re-walks the search from page one on every run (already-collected records are recognized by id and skipped, not re-billed), so if a previous run's stop was Max pages itself rather than Max items, raise Max pages before resuming; otherwise the resumed run hits the same page limit again without ever reaching the further, unread pages.
• Incremental mode (incrementalMode) is for running this same search again and again (for example daily) and getting only what changed. Each record is classified NEW, UPDATED (with changedFields), or UNCHANGED (suppressed and not billed unless emitUnchanged is on) by default. EXPIRED only appears when the current run has emitExpired on and scans the whole scope end to end: not resumed, not stopped by Max items or Max pages, no unreadable pages. REAPPEARED only appears for a record an earlier such run already marked EXPIRED. stateKey names or shares the stored baseline; different keys never share one. With incremental mode off, output is exactly as before.

Send results into your apps (MCP connectors)

You can pipe collected results straight into the apps you already use. Under Apify, open Settings, then API & Integrations, and authorize a connector such as Notion, Linear, Airtable or Apify. Then set mcpConnectors in the actor input (and notionParentPageUrl when using Notion) and each run also writes a condensed, human-readable summary of every item into the connected app: a title plus the key fields flattened to plain text. The complete record always stays in the Apify dataset; the connector export is a convenience copy and maxNotifyListings caps how many items each connector receives per run. Leaving the fields empty changes nothing.

Input Parameters

Parameter	Type	Default	Description
mode	string	search	Search by keyword, or paste links in URL mode.
query	string	iphone	Search mode: the product keyword.
urls	array	(none; prefill shows a sample search link)	URL mode: search, product or seller pages, one per line. The filters apply to walked search links too.
sortBy	string	popular	Popular, price low-to-high, price high-to-low, highest rated, newest.
priceMin	integer	(none)	Only collect products priced at or above this many rubles, enforced on the collected rows.
priceMax	integer	(none)	Only collect products priced at or below this many rubles, enforced on the collected rows.
minRating	integer	(none)	Only collect products rated at or above this value (1-5).
minFeedbacks	integer	(none)	Only collect products with at least this many customer reviews.
onlyWithDiscount	boolean	false	Only collect products whose current wallet price is below the retail price.
fetchDetails	boolean	false	Also fetch the full detail card (description, characteristics) per product when the source serves it. Adds a per-product surcharge only when that card is actually served.
maxFeedbacksPerProduct	integer	5	Recent review rows attached per product. 0 skips reviews.
maxItems	integer	20	Maximum number of records to return across the whole run. In URL mode it is split evenly across the pasted links. 0 means no item limit: the run stops at Max pages or the natural end of the results.
maxPages	integer	0	Maximum result pages read per search or link. 0 uses the built-in limit of 20 pages per scope.
resumeFromRunId	string	(none; prefill empty)	Run id of a previous run; its collected record ids are seeded as already-seen.
incrementalMode	boolean	false	Remember the previous run of the same search and stamp each record NEW, UPDATED or UNCHANGED by default (REAPPEARED/EXPIRED need Emit expired too, plus a complete scan).
stateKey	string	(none)	Name for this monitoring campaign's saved baseline.
emitUnchanged	boolean	false	Also return unchanged rows. Returns and bills extra rows.
emitExpired	boolean	false	Also return rows the source no longer lists in a complete scan. Returns and bills extra rows.
mcpConnectors	array	(none)	Optional MCP connectors to export results into.
notionParentPageUrl	string	(none)	Notion parent page for the Notion connector.
maxNotifyListings	integer	50	Cap on items written per connector.
proxyConfiguration	object	(none; prefill selects the Residential connection group)	Connection settings. The marketplace refuses many plain hosting connections, so a higher connection tier is recommended for reliable runs.

Output Example

Sample shape: values are illustrative placeholders, not from a live listing.

{
  "kind": "product",
  "recordId": "nm:264193008",
  "nmId": 264193008,
  "rootId": 264193000,
  "url": "https://www.wildberries.ru/catalog/264193000/detail.aspx",
  "name": "Ceramic Travel Mug 350 ml Slate Blue",
  "brand": "Zelwick",
  "price": 1290.0,
  "priceRetail": 2150.0,
  "priceLogistics": 79.0,
  "discountPercent": 40,
  "hasDiscount": true,
  "currency": "RUB",
  "rating": 4,
  "reviewRating": 4.6,
  "feedbacksCount": 812,
  "stock": 156,
  "warehouseIds": [512033],
  "deliveryDaysMin": 12,
  "deliveryDaysMax": 36,
  "supplierId": 71820456,
  "supplierName": "Orinvale Trade",
  "supplierRating": 4.7,
  "imageUrl": "https://basket-10.wbbasket.ru/vol2641/part264193/264193008/images/c246x328/4.webp",
  "description": "Ceramic travel mug with double-wall insulation, a spill-resistant lid and a silicone grip band.",
  "characteristics": [
    {"group": "Materials", "name": "Body material", "value": "Ceramic"},
    {"group": "Materials", "name": "Lid material", "value": "Silicone"}
  ],
  "feedbackSummary": {
    "valuation": "4.6",
    "valuationSum": 812,
    "distribution": {"1": 12, "2": 9, "3": 41, "4": 210, "5": 540},
    "withText": 305,
    "withPhoto": 88
  },
  "feedbacks": [
    {
      "id": "wbfb7f3a29d1",
      "createdDate": "2026-07-14T09:22:00+03:00",
      "rating": 5,
      "text": "Keeps tea hot for hours, exactly as pictured.",
      "pros": "Sturdy lid, good grip",
      "cons": "Slightly heavier than expected",
      "userName": "Dmitry K.",
      "answerText": "Thanks for the feedback, glad it is working out for you.",
      "photosCount": 1
    }
  ],
  "changeType": "NEW",
  "changedFields": [],
  "firstSeenAt": "2026-09-20T00:00:00+00:00",
  "lastSeenAt": "2026-09-20T00:00:00+00:00"
}

Plan Requirement

An Apify account with proxy usage enabled is required. The marketplace refuses many plain hosting connections, so for reliable runs choose a higher connection tier in the connection settings if your plan includes one; the actor rotates fresh exits automatically on refusals, and when every attempt on the primary connection is refused it may also try a slower backup connection for a limited time (not used if you supply your own proxy URLs) before telling you plainly in the run log that a run could not read any pages. Runs are aware of the platform time limit: they stop starting new reads before the limit and end honestly instead of being cut off mid-flight.

FAQ

How much does it cost?

You pay per record returned, with the optional full detail card billed only for the products it was actually fetched for, never merely for switching the option on. The Pricing tab shows the current rates. Use Max items to cap the cost of any run.

Is it legal to scrape Wildberries?

This actor collects only publicly available marketplace data. You are responsible for how you use it: follow Wildberries' terms and the laws that apply to you, and get legal advice if you plan commercial redistribution. Product listings and prices are generally facts, but brand names, images and seller registration data may be subject to third-party rights.

Can I get only new or changed products on a schedule?

Yes. Schedule the actor from the Schedules tab and turn on Incremental mode with a State key for the campaign. Each run then returns only new and updated records, and unchanged ones are not billed unless you turn that on too.

What is the difference between Resume and Incremental mode?

Resume continues ONE specific interrupted run so you don't pay for records it already collected. Incremental mode is for running the SAME search again and again (for example daily) and getting only what changed since last time, using a saved baseline. They solve different problems and can be used independently or together.

Why did my run fail instead of returning an empty dataset?

If the site refuses every request, or answers with a page that has lost its expected product data, the run stops with a clear message so "no results" is never confused with "nothing could be read". Run it again in a few minutes. If only some pages could not be read while others returned records, the run still succeeds and its status message says so.

Can I use it with AI agents or MCP?

Yes. Call it from any Apify integration or MCP client, and use the connector field to push results into Notion, Linear or Airtable.

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