Wildberries Scraper: Products, Prices, Reviews, No Login

Search Wildberries (wildberries.ru) by keyword, or paste article numbers or product links, and get products as one row each: name, brand, price, sale price, discount, rating, number of reviews, seller, stock, sizes, images and the product link. A third mode saves the written reviews of products. Prices and stock are for the delivery region you choose. No Wildberries login, no cookies, no API key. The prefilled search (наушники, 10 products) usually finishes in 30–80 seconds and costs $0.049 on the Free plan.

Use it for marketplace research: compare prices and discounts in a category, watch competitors' sellers and stock, check ratings and read what buyers write about a product.

Table of contents

• What it does
• Quick start
• Use cases
• Input
• Output
• Pricing and limits
• API, export and integrations
• Troubleshooting
• FAQ
• Related Actors
• Support

What it does

The Actor reads the public Wildberries data a visitor sees on wildberries.ru, in one of three modes:

• Search — for each query, it reads the search results page by page, in Wildberries' order (or by price, rating, newest). One row per product: price and sale price in RUB, discount, rating, review count, brand, seller, stock, sizes, colours, images, category and the position in the results.
• Products — for each article number (nmId) or product link, it reads the product card: the same fields plus stock per size. Products that do not exist are marked not_found and are free.
• Reviews — for each article number, it saves the newest written reviews: stars, text, pros, cons, colour and size bought, tags, helpful votes, the seller's answer and the number of photos. Each review has the article number of the variant (colour or size) it was written for. Buyer names are not saved.

Every row has status, errorCode, source, url and fetchedAt. A value Wildberries does not show is null, never 0. Entries that give nothing (not_found, error) are free; the Dataset lists the first 25 of them per run and RUN_SUMMARY.withoutResults lists all.

Good fit

• Price and discount research in a Wildberries category, by query and region (dest).
• Tracking the same products over time: run on a schedule and compare salePrice and stocks by nmId.
• Checking a list of article numbers: still on sale, current price, stock per size, seller.
• Reading buyer reviews of your products or your competitors' products.

Not a fit / limits

• Wildberries shows at most 60 pages (about 6,000 products) per search query. For more, split the query (наушники беспроводные, наушники игровые) or use other sort orders.
• Large stocks are shown to visitors as a capped number (usually 37–54), not the warehouse total. Small stocks and 0 (sold out) are exact.
• Reviews: Wildberries serves about the 1,000 newest written reviews per product. No buyer names, no review photos.
• No seller legal details, no sales numbers, no price history, no login-only data (personal discounts, WB Club prices).

Quick start

1. Open the Input tab.
2. Keep What to scrape = Search by keyword and the prefilled query наушники, or type your own.
3. Keep Max products per query = 10 (prefill) or raise it.
4. Click Start.
5. Open the Output tab, view Products, and check salePrice, rating, feedbacks and supplier.

Expected result: 10 rows with status complete, in Wildberries search order.

For a list of products, set What to scrape = Products by article number or URL and paste article numbers or links into Article numbers or product URLs. For reviews, choose Reviews of products.

Use cases

Buyer job	Input path	Output entity	Key fields	Next integration
Category price research	queries, sort, dest	product	price, salePrice, discountPercent, position	Google Sheets, CSV
Competitor monitoring	productIds + schedule	product	salePrice, stocks, sizes, fetchedAt	Dataset API, webhooks
Seller and brand research	queries	product	supplier, supplierId, brand, feedbacks, rating	spreadsheet, BI
Review analysis	productIds (mode reviews)	review	rating, text, pros, cons, size, createdDate	LLM, sentiment tools

Input

Input fields

Field	Plain name	Type	Required	Default / prefill	Allowed values	Effect	Example	Recommendation
mode	What to scrape	string	no	default search	search, product, reviews, products	What to collect	"reviews"	products is auto: product cards when article numbers are given, else search
queries	Search queries	array of strings	yes in search	prefill ["наушники"]	1–20 queries	One search per query	["iphone 16", "наушники"]	Repeated queries are read once
productIds	Article numbers or product URLs	array of strings	yes in product and reviews	—	up to 1,000 article numbers or wildberries.ru product links	Products to read	["219614590"]	Wrong entries become free error rows
maxItems	Max products per query	integer	no	default 100, prefill 10	1–10,000	Most products per query (search only)	500	Wildberries gives at most about 6,000
sort	Search order	string	no	popular	popular, rate, priceup, pricedown, newly, benefit	Order of search results	"priceup"	Same as the sort menu on the site
dest	Delivery region	integer	no	-1257786 (Moscow)	Wildberries region code	Prices, stock and search results for this region	-1257786	Copy dest from the site's requests after choosing your address
maxReviewsPerProduct	Max reviews per product	integer	no	100	1–1,000	Newest written reviews per product (reviews only)	1000
onlyRequestedVariant	Only reviews of this exact variant	boolean	no	false		Keep only reviews written for the article number you entered	true	Wildberries shows one review list for all colours and sizes
proxyConfiguration	Proxy	object	no	{"useApifyProxy": true}	Apify Proxy settings	Proxy for Wildberries requests	{"useApifyProxy": true}	Keep the default: datacenter, with an automatic switch to residential proxy in Russia when Wildberries refuses it

Empty input in the selected mode gives one free row with errorCode: INVALID_INPUT and a message that names the field; the run ends normally. Extra spaces are removed and duplicates are read once.

Interacting settings

When	Input A	Input B	Effective behavior	Example	Cost/result effect
Search mode	mode = search	productIds	Article numbers are ignored, with a warning	—	None
Product or reviews mode	mode = product / reviews	queries, maxItems	Queries and maxItems are ignored	—	One row per product / per review
Same product twice	productIds	—	Read once	["219614590", "https://www.wildberries.ru/catalog/219614590/detail.aspx"]	Charged once
Variants of one product in reviews mode	productIds	—	Their shared review list is saved once, with a warning	two colours of one product	Each review charged once
Region	dest	any mode	Prices, stock and search results follow the region	-1257786	None

Input examples

Search products by keyword

{
  "mode": "search",
  "queries": ["наушники"],
  "maxItems": 10
}

Expected behavior: reads the first Wildberries search results page for наушники in Moscow. Expected output: 10 product rows with salePrice, rating, feedbacks, supplier, stocks. Limit or cost note: usually 30–80 seconds, $0.049 on the Free plan.

Product cards by article number or link

{
  "mode": "product",
  "productIds": [
    "839226871",
    "https://www.wildberries.ru/catalog/461140947/detail.aspx"
  ]
}

Expected behavior: reads each product card. Expected output: one row per product, with sizes that include the stock of each size. Limit or cost note: 1,000 article numbers took 46 seconds; not_found and error rows are free.

Newest reviews of a product

{
  "mode": "reviews",
  "productIds": ["152540730"],
  "maxReviewsPerProduct": 100
}

Expected behavior: reads the newest written reviews of the product and its variants. Expected output: up to 100 review rows; isRequestedVariant tells whether a review was written for this exact article number. Limit or cost note: 10 products × 1,000 reviews (7,000 saved) took 66 seconds.

Output

The Dataset has two views, Products and Reviews. The run summary is in the Key-value store record RUN_SUMMARY.

Output fields

Product rows (rowType: product, Search and Products modes):

Field	Meaning	Type	Can be empty?	Example / enum	Source / notes
nmId	Article number	integer	on error rows	839226871
imtId	Product group ID (all colours and sizes)	integer	yes	2362405143
name	Product name	string	on not_found / error	"Наушники беспроводные TWS Pro 2"	As on Wildberries, in Russian
brand, brandId	Brand	string, integer	yes	"TehnoVolna"	null when Wildberries shows no brand (common for no-name goods)
price	Price before discount, RUB	number	yes	2525	null = not on sale in this region
salePrice	Price the buyer pays now, RUB	number	yes	1617	Lowest among sizes
discountPercent	Discount from price to salePrice, %	integer	yes	36
currency	Currency	string	no	"RUB"
rating	Average rating, 1–5	number	yes	5	null = no ratings yet (common on new products)
feedbacks	Number of ratings and reviews	integer	yes	133538
supplier, supplierId, supplierRating	Seller name, ID, rating	string, integer, number	yes	"Me TradeMark"	Shop name as shown on the site
stocks	Units in stock in the region, all sizes	integer	yes	54	Large stocks are capped by Wildberries; 0 = sold out
inStock	stocks > 0	boolean	yes	true
sizes	Sizes with price, sale price and stock	array	empty	[{"name": "98-104", "price": 2590, "salePrice": 888, "stocks": 18}]	Stock per size in Products mode only
colors	Colour names	array	empty	["белый"]
subjectId, subjectParentId	Category IDs	integer	yes	593
imageUrl, imageUrls	Main image, all images	string, array	yes / empty	image URLs	Up to 30; empty on a partial row with MISSING_FIELDS if the image link map could not be read
url	Product page	string	on error rows	"https://www.wildberries.ru/catalog/839226871/detail.aspx"
query, page, position	Query, results page, position	string, integer, integer	null in Products mode	"наушники", 1, 1	Search mode only
input	Your input entry	string	null in Search mode	"461140947"	Products mode only
dest	Region of prices and stock	integer	no	-1257786

Review rows (rowType: review, Reviews mode):

Field	Meaning	Type	Can be empty?	Example / enum	Source / notes
reviewId	Review ID	string	no	"uwpmaulgiPkCc09UOVEc"
nmId	Variant the review was written for	integer	no	152540730	Can differ from your article number
requestedNmId, isRequestedVariant	Your article number; same variant or not	integer, boolean	no	152540730, true
productName, productUrl	Product name and link of the reviewed variant	string	yes
rating	Stars the buyer gave, 1–5	integer	no	5
text, pros, cons	Review text, pros, cons	string	yes		null = left empty
color, size	Colour and size bought	string	yes	"Белый", "37"
tags	Quick tags the buyer picked	array	empty
createdDate, updatedDate	Written, last changed	string	yes	"2026-10-15T10:46:43.664Z"	ISO 8601
votesPlus, votesMinus	Helpful / not helpful votes	integer	yes	0
sellerAnswer, sellerAnswerDate	Seller's answer	string	yes
photoCount, hasVideo	Photos and video attached	integer, boolean	no	0, false	Counts only, no media
parentReviewId	Earlier review this one adds to	string	yes	null

All rows:

Field	Meaning	Type	Can be empty?	Example / enum	Source / notes
rowType	Row type	string	no	product, review
status	Row status	string	no	complete, partial, not_found, error	Only complete and partial are charged
errorCode, errorMessage	Why a row is not complete	string	yes	NOT_ON_SALE, NOT_FOUND, NO_RESULTS, NO_REVIEWS, INVALID_INPUT, QUERY_REJECTED, SOURCE_ERROR	Empty on complete rows
source	Wildberries data the row came from	string	no	wb-search, wb-card, wb-feedbacks
fetchedAt	When the row was read	string	no	"2026-10-15T11:40:18.126Z"	ISO 8601, UTC

Output entities and surfaces

Situation	Dataset/API/KVS/live view	Result shape	User action
Normal product or review	Dataset, view Products / Reviews	one row each, status: complete	Open, export or use the fields
Not on sale in the region	Dataset	status: partial, errorCode: NOT_ON_SALE, prices null, stocks: 0	Try another dest or check later
Image links not available	Dataset, RUN_SUMMARY.warnings	status: partial, errorCode: MISSING_FIELDS, imageUrl: null, imageUrls: []	Run again; other fields are complete
Article number does not exist	Dataset	status: not_found, free	Check the number
Query without results	Dataset	one not_found row with errorCode: NO_RESULTS, free	Try other words
Query Wildberries refuses (e.g. random letters)	Dataset	one error row with errorCode: QUERY_REJECTED, free; other queries go on	Try other words
Product without written reviews	Dataset	one not_found row with errorCode: NO_REVIEWS, free
Wrong entry	Dataset	status: error, errorCode: INVALID_INPUT, free	Fix the entry
More than 25 entries without results in one run	Dataset lists the first 25; RUN_SUMMARY.withoutResults lists all	input, nmId, status, errorCode per entry, plus a warning	Read the full list in RUN_SUMMARY
Run timeout or maximum charge reached	RUN_SUMMARY	status: partial, stopReason: TIMEOUT / CHARGE_LIMIT, saved rows stay	Raise the timeout or maximum charge
Wildberries refuses the datacenter proxy	RUN_SUMMARY.residentialFallback: true, a warning and a note in the run message	the run goes on through residential proxy in Russia; same rows, same price	Nothing to do
Wildberries blocks or fails	RUN_SUMMARY.stopReason: SOURCE_ERROR, run FAILED	rows saved before the failure stay	Run again later

Output example

Search mode, from the prefilled input (one row, imageUrls trimmed):

{
  "rowType": "product",
  "status": "complete",
  "nmId": 839226871,
  "imtId": 2362405143,
  "name": "Наушники беспроводные TWS Pro 2",
  "brand": "TehnoVolna",
  "brandId": 311123295,
  "price": 2525,
  "salePrice": 1617,
  "discountPercent": 36,
  "currency": "RUB",
  "rating": 5,
  "feedbacks": 133538,
  "supplier": "Me TradeMark",
  "supplierId": 1174666,
  "supplierRating": 5,
  "stocks": 54,
  "inStock": true,
  "sizes": [{ "name": null, "price": 2525, "salePrice": 1617, "stocks": null }],
  "colors": ["белый"],
  "subjectId": 593,
  "subjectParentId": 6258,
  "imageUrl": "https://basket-38.wbbasket.ru/vol8392/part839226/839226871/images/big/1.webp",
  "imageUrls": ["https://basket-38.wbbasket.ru/vol8392/part839226/839226871/images/big/1.webp"],
  "url": "https://www.wildberries.ru/catalog/839226871/detail.aspx",
  "query": "наушники",
  "page": 1,
  "position": 1,
  "input": null,
  "dest": -1257786,
  "source": "wb-search",
  "errorCode": null,
  "errorMessage": null,
  "fetchedAt": "2026-10-15T11:40:18.126Z"
}

Reviews mode (one row):

{
  "rowType": "review",
  "status": "complete",
  "reviewId": "uwpmaulgiPkCc09UOVEc",
  "nmId": 152540730,
  "requestedNmId": 152540730,
  "isRequestedVariant": true,
  "imtId": 4156371482,
  "productName": "Кроссовки спортивные на платформе демисезонные",
  "productUrl": "https://www.wildberries.ru/catalog/152540730/detail.aspx",
  "rating": 5,
  "text": "Хорошие, красивые кроссовки. Возврат, не подошёл размер",
  "pros": null,
  "cons": null,
  "color": "Белый",
  "size": "37",
  "tags": [],
  "createdDate": "2026-10-15T10:46:43.664Z",
  "updatedDate": "2026-10-15T10:52:39.816Z",
  "votesPlus": 0,
  "votesMinus": 0,
  "sellerAnswer": "Спасибо за отзыв! …",
  "sellerAnswerDate": "2026-10-15T10:50:59.825Z",
  "photoCount": 0,
  "hasVideo": false,
  "parentReviewId": null,
  "input": "152540730",
  "source": "wb-feedbacks",
  "errorCode": null,
  "errorMessage": null,
  "fetchedAt": "2026-10-15T11:14:25.076Z"
}

null means Wildberries did not show this value; it is not 0. rating: null means "no ratings yet", not "0 stars".

Pricing and limits

Pricing unit

Pay per event. You pay for:

• Actor start — $0.03 per run (Apify counts one start per GB of memory, at least one; the default 512 MB is one);
• product — each saved complete or partial product row;
• review — each saved review row.

Event	Free	Bronze	Silver	Gold
Actor start	$0.03	$0.03	$0.03	$0.03
product	$0.0019	$0.0018	$0.0017	$0.0016
review	$0.0018	$0.0017	$0.0016	$0.0015

Platform usage (compute, proxy, including the residential fallback) is included. not_found and error rows are free; a run that saves nothing costs only the start fee. If a run fails, you pay only for the rows it saved. The run stops when it reaches your maximum charge and says so in RUN_SUMMARY (stopReason: CHARGE_LIMIT).

Cost examples (Free plan)

Scenario	Input scope	Rows	Charge	Stop/cap behavior
Prefill	1 query, 10 products	10	$0.049	usually 30–80 s
Category research	3 queries × 100 products	300	$0.60
Price check of a product list	1,000 article numbers	1,000	$1.93	46 s in our test
Reviews	1 product × 100 reviews	100	$0.21
Nothing found	1 query without results	0	$0.03	start fee only

Limits

• Up to 20 queries, up to 10,000 products per query (Wildberries gives at most about 6,000); up to 1,000 article numbers; up to 1,000 reviews per product.
• Measured in our tests: 5 queries × 1,000 → 5,000 products in 124 seconds (512 MB); 1 query × 6,000 → 5,984–5,987 products in 153–437 seconds (437 s at 512 MB when Wildberries was slow); 1,000 article numbers → 46 seconds (512 MB); 10 products × 1,000 reviews → 7,000 reviews in 66 seconds (512 MB).
• The default run timeout is 600 seconds. When it is reached, the run ends normally with the rows saved so far (stopReason: TIMEOUT). Big searches can take longer when Wildberries is slow; raise the timeout for them.

API, export and integrations

• API: start the Actor with the Apify API and read the Dataset items as JSON, CSV or Excel.
• Export: the Output tab exports JSON, CSV, Excel, XML and RSS.
• Scheduling: run the same article numbers daily with Apify Schedules and compare salePrice and stocks by nmId and fetchedAt.
• Webhooks / no-code: send results to Google Sheets, Make or Zapier through Apify integrations.

Use with AI agents (MCP)

• MCP server with only this Actor: https://mcp.apify.com?tools=cliqtomedia/wildberries-scraper
• Smallest input:

{ "queries": ["наушники"], "maxItems": 10 }

• Key output fields: name, salePrice (RUB), rating, feedbacks, supplier, stocks, url.
• 10 products usually take 30–80 seconds and cost $0.049. Keep maxItems small for quick answers.

Troubleshooting

Fewer products than maxItems

Symptom: a query stops at about 6,000 rows, with a warning in RUN_SUMMARY.warnings. Likely reason: Wildberries shows at most 60 pages of results per query. Check: the warning names the query. Action: split the query into narrower ones or run it with other sort orders.

salePrice is null

Symptom: a product row with status: partial and errorCode: NOT_ON_SALE. Likely reason: the product is sold out or not delivered to this region. Check: stocks is 0; try the product on the site with the same delivery address. Action: try another dest or check later.

The run ended with stopReason: TIMEOUT

Symptom: RUN_SUMMARY.status: partial and the warning "The run timeout was reached". Likely reason: a big search, or Wildberries answered slowly. Check: the saved rows are in the Dataset. Action: raise the run timeout in the run options or lower maxItems.

The run failed with SOURCE_ERROR

Symptom: RUN_SUMMARY.stopReason: SOURCE_ERROR; the run ends FAILED, even if rows were saved. Likely reason: Wildberries refused several new sessions in a row, on datacenter and then on residential proxy. A run without saved rows stops after about 3.5 minutes of such attempts (proxy traffic counted as run time), so a failed run stays cheap. Check: saved rows are in the Dataset and charged; RUN_SUMMARY.sourceError says what failed. Action: run again a bit later. This is a failure, not an empty result.

FAQ

Do I need a Wildberries account, cookies or API key?

No. The Actor reads public Wildberries data without a login. It does not solve captchas or log in.

Why are prices different from what I see on the site?

Prices depend on the delivery region (dest) and on the account: WB Club and personal discounts are not included. The Actor sees the price for a visitor without an account in the chosen region.

Why does a review have another article number?

Wildberries shows one review list for all colours and sizes of a product. nmId is the variant the buyer reviewed, requestedNmId is the article number you entered. Turn on Only reviews of this exact variant to keep only yours.

Are the results complete and fresh?

The rows show what Wildberries shows at fetchedAt. Search order and prices change often. The Actor does not promise every product for a query.

Related Actors

• Historical FX Rates Converter — convert RUB prices to your currency for a given date.
• Google Autocomplete Scraper — find product keywords to use in queries.
• Website JSON-LD Structured Data Scraper — read product prices from other online stores.

Support

For bugs, questions or feature requests, open the Issues tab of this Actor. Add the run ID, your input and the errorMessage or RUN_SUMMARY message. Never send tokens, cookies or passwords.