Wildberries Detail Scraper (Парсер Wildberries) | Product Data, Prices & Sellers (2026)

From SilentFlow. Creators of Facebook Search Scraper and JD Products Scraper (#1 for “jd scraper” in Apify Store search), with 850,000+ combined lifetime runs.

Turn any Wildberries (Вайлдберриз) product page into one complete row: live price, weekly price history, full specifications, the legal seller behind the shop, ratings, latest reviews and buyer Q&A. Start from links, article numbers or a plain search phrase.

Why choose this actor?

Still opening Wildberries cards one by one to copy a price, a rating and a seller name? Paying for a marketplace dashboard that will not let you export the raw numbers? Only able to scrape the products you already have links for?

• 93 filled data columns per product, not a thin summary. On our default test run of 10 products, 93 data columns came back filled on at least half of the rows (97 columns per row in total): card, characteristics, sizes, live price, weekly price history, seller legal identity, star distribution, review velocity, latest reviews and Q&A. The most used Wildberries detail actor on the Store announces 84 output keys.
• Start from a search phrase, not only from links. Paste product links, type article numbers, or type what a shopper would type, such as кроссовки женские, all in the same run. Every search result gets the same full detail as a link. The default run read 2 listed products and 8 products found by one search phrase, 10 rows in total.
• Know who really sells, and how fast it sells. Every row of the default run carried the seller's INN and OGRN (10 of 10), the number of reviews published in the last 30 days (10 of 10) and the rating of every color variant (10 of 10), so a competitor table answers "who is behind this shop" and "is this product moving" without a second tool.

Try your first product

Paste this input in the Input tab (or keep the prefilled form) and press Start. It reads one product link, one article number and the first products of a search phrase, 10 products in total:

{
    "productUrls": ["https://www.wildberries.ru/catalog/1194919474/detail.aspx"],
    "productIds": ["848943321"],
    "searchQueries": ["кроссовки женские"],
    "language": "ru",
    "maxItems": 10,
    "maxReviews": 10,
    "maxQuestions": 5
}

Each product becomes one row of the dataset. Open the Output tab to see it as a table, or export it as JSON, CSV, Excel or HTML. The Apify Free plan is enough to run this input and see real rows before you scale up.

Copy to your AI assistant

Paste this block into Claude, ChatGPT or Cursor so your assistant knows exactly how to call this scraper:

You have access to the Wildberries Detail Scraper on Apify: silentflow/wildberries-detail-scraper
It returns one row per Wildberries product (article / nmId), no account needed.

Input (all optional, give at least one of the first three):
- productUrls (array of strings): Wildberries product pages, e.g. https://www.wildberries.ru/catalog/684352087/detail.aspx
- productIds (array of strings or numbers): article numbers (nmId), e.g. "848943321"
- searchQueries (array of strings): search phrases as typed on wildberries.ru, e.g. "кроссовки женские" (up to 500 products per phrase)
- language (string, default "ru"): "ru" or "en"; "en" returns the English card when the seller published one, Russian otherwise
- maxItems (integer, default 100): cap on products for the whole run; links and IDs first, then searches share the rest
- maxReviews (integer 0-1000, default 10): latest reviews kept on each row
- maxQuestions (integer 0-30, default 5): latest buyer questions kept on each row

Output per product (97 columns, null when unknown):
- identity: id (number, article), url, imtId (card group), name, brand, brandHash, slug, vendorCode, language
- content: category, categoryId, categoryRoot, categoryRootId, description, characteristics [{name, value}],
  characteristicGroups [{name, characteristics}], characteristicsCount, contents, countryOfOrigin, composition,
  colorName, gender, season, colorVariantIds, colorVariantsCount, sizes [{id, name}], sizesCount,
  sizesTable {columns, rows [{size, values}]}, isMarkingRequired, isCertificateVerified, hasRichContent,
  hasSellerRecommendations, richContentImages
- seller: sellerId, sellerName, sellerFullName, sellerTrademark, sellerLegalForm, sellerInn, sellerOgrn, sellerKpp,
  sellerLegalAddress, sellerCountry, sellerTaxpayerCode, sellerUrl
- live offer: price, originalPrice, discountPercent, currency (RUB), inStock, isNew, isExpressDelivery, has3D, isAdult, isDigital
- price history: priceHistory [{date, price}], lowestPrice, lowestPriceAt, highestPrice, averagePrice, priceHistoryStartAt
- ratings: rating, reviewsCount, reviewsWithPhoto, reviewsWithText, reviewsWithVideo, ratingDistribution,
  ratingDistributionPercent, rating5Count, rating4Count, rating3Count, rating2Count, rating1Count, variantRating,
  variantReviewsCount, variantRatings [{id, rating, reviewsCount}], sizeFit {smaller, ok, bigger},
  reviewsLast30Days, reviewsLast90Days, ratingLast30Days, sellerReplyRate, lastReviewAt,
  reviews [{id, author, rating, text, pros, cons, color, size, variantId, createdAt, photos, videoUrl, likes, dislikes, sellerReply, sellerReplyAt}],
  reviewImages
- buyer Q&A: questionsCount, questions [{id, text, variantId, createdAt, answer, answeredAt}], lastQuestionAt
- media and dates: imageUrl, thumbnailUrl, images, imageCount, hasVideo, videoUrl, cardCreatedAt, cardUpdatedAt
- meta: searchQuery (rows found by a search), scrapedAt
Dates are RFC 3339 in UTC. Prices are in Russian roubles.

Call it with apify-client for Python or JavaScript: client.actor("silentflow/wildberries-detail-scraper").call(run_input={...}),
then read client.dataset(run["defaultDatasetId"]).iterate_items().

How to scrape Wildberries product data

Get the full card of one product from its link

The simplest run: one link, one row. The link can come straight from your browser or from the Wildberries app.

{
    "productUrls": ["https://www.wildberries.ru/catalog/684352087/detail.aspx"]
}

Track a list of competitor articles with their latest reviews

Paste the article numbers you watch and keep the 20 latest reviews and 10 latest questions of each product.

{
    "productIds": ["848943321", "1009225136", "155745400", "5688668"],
    "maxReviews": 20,
    "maxQuestions": 10
}

Map a whole niche from search phrases, in English

Two search phrases, sharing a cap of 100 products, with English cards wherever the seller published one.

{
    "searchQueries": ["кофе в зернах", "iphone 15"],
    "maxItems": 100,
    "language": "en",
    "maxReviews": 5
}

Input parameters

Parameter	Type	Default	What it does
productUrls	array of strings	prefilled with one link	Wildberries product pages. Each link gives one row.
productIds	array of strings or numbers	prefilled with one article	Article numbers (артикул, nmId). Each article gives one row.
searchQueries	array of strings	prefilled with one phrase	Search phrases as typed on wildberries.ru. Every product found gets the full detail. Up to 500 products per phrase, which is as far as the site search goes.
language	string	ru	ru (Russian) or en (English). With en, the row carries the English card when the seller published one and the Russian card otherwise; the language column says which.
maxItems	integer	100	Total products for the run. Links and article numbers are read first, then the search phrases share what is left.
maxReviews	integer	10	Latest reviews kept on each row, from 0 to 1,000. 0 keeps the rating summary only.
maxQuestions	integer	5	Latest buyer questions kept on each row, from 0 to 30. 0 keeps the question count only.

No field is required: give a link, an article number or a search phrase, in any mix. A line that is not a Wildberries product is skipped and named in the log, and the rest of the run goes on. The same product given twice (as a link and as an article, or found by two phrases) is read once.

Accepted product formats

• https://www.wildberries.ru/catalog/684352087/detail.aspx, with or without the query string (?size=…&targetUrl=…)
• https://wildberries.ru/catalog/684352087/feedbacks (the reviews page of the product)
• links from the other Wildberries country sites: wildberries.by, wildberries.kz, global.wildberries.ru
• short app links on wb.ru/catalog/… and https://www.wildberries.ru/product?card=684352087
• a bare article number: 684352087, "684352087", or Артикул 684352087
• a product photo link on the Wildberries image servers (the article is read from it)

The input also reads startUrls (as [{"url": "…"}] objects) and keywords, the names some other Wildberries actors use, so an input copied from one of them runs as is.

What data can you extract from Wildberries?

Every row has the same 97 columns, in reading order, always present: a value that Wildberries does not publish for a product is null, never an empty string.

Group	Columns	What you get
Identity	9	id (article / nmId, stable), url (permanent product page), imtId (card group shared by the colors), name, brand, brand hash, slug, seller's vendor code, card language
Card content	24	category and parent category with their ids, description, every characteristic as {name, value} and grouped as on the site, contents, country of origin, composition, color, gender, season, the article numbers of every color variant, sizes with their ids and labels, the size chart, marking and certificate flags, rich content images
Seller	12	seller id and page, short and full legal name, shop name, legal form (ООО, ИП, АО…), INN, OGRN or OGRNIP, KPP, legal address, country, taxpayer code
Live offer	10	price, price before discount, discount percent, currency, in stock, new, express delivery, 3D view, adult and digital flags
Price history	6	weekly prices as {date, price}, lowest price and its week, highest and average weekly price, first week on record
Ratings and reviews	23	rating, review count, reviews with photo, text or video, star distribution in counts and percent, one column per star, the rating of this color and of every color, size fit, reviews of the last 30 and 90 days, rating of the last 30 days, seller reply rate, last review date, latest reviews, buyer photos
Buyer Q&A	3	question count, latest questions with the seller's answer, last question date
Media and dates	8	main photo, thumbnail, every photo, photo count, video flag and stream, card creation and update dates
Meta	2	the search phrase that found the product, scrape time

Each review carries 16 fields (author first name, rating, text, pros, cons, color and size bought, variant, date, photos, video, likes, dislikes, seller reply and its date). Each question carries 6 (text, variant, date, answer and its date).

Good to know before you build on it:

• id is the Wildberries article number of one color variant and never changes. imtId groups the colors of one card: ratings, reviews and questions on Wildberries belong to the group, so the colors of one product share them, while variantRating and variantReviewsCount are specific to the article you asked for.
• Dates (cardCreatedAt, lastReviewAt, priceHistory[].date, review and answer dates) are RFC 3339 in UTC.
• Prices are in Russian roubles, as the site shows them by default. priceHistory holds one price per week, as Wildberries keeps it.
• Photo, rich content and review photo links point to the Wildberries image servers and keep working while the product card exists.
• reviewsLast30Days and reviewsLast90Days count reviews among the latest 1,000 that Wildberries lists; a product that gets more than 1,000 reviews a month shows 1,000.

Output example

One full row from the default run (long texts and lists shortened for reading):

{
  "id": 658633917,
  "url": "https://www.wildberries.ru/catalog/658633917/detail.aspx",
  "imtId": 3983994404,
  "name": "Кроссовки летние спортивные сетка",
  "brand": "BAASPLOA",
  "brandHash": "9ED562E055A643A4",
  "slug": "krossovki-letnie-sportivnye-setka",
  "vendorCode": "H1108-9",
  "language": "ru",
  "category": "Кроссовки",
  "categoryId": 105,
  "categoryRoot": "Обувь",
  "categoryRootId": 2,
  "description": "Кроссовки женские летние дышащие – отличный вариант легкой женской обуви в повседневной жизни подростка.",
  "characteristics": [
    {
      "name": "Цвет",
      "value": "голубой"
    },
    {
      "name": "Пол",
      "value": "Женский"
    },
    {
      "name": "Состав",
      "value": "текстиль; ТПР (термопластичная резина); EVA"
    },
    {
      "name": "Сезон",
      "value": "Лето"
    },
    {
      "name": "Материал стельки",
      "value": "текстиль"
    },
    {
      "name": "Материал подкладки обуви",
      "value": "текстиль"
    }
  ],
  "characteristicGroups": [
    {
      "name": "Основная информация",
      "characteristics": [
        {
          "name": "Цвет",
          "value": "голубой"
        },
        {
          "name": "Пол",
          "value": "Женский"
        }
      ]
    },
    {
      "name": "Дополнительная информация",
      "characteristics": [
        {
          "name": "Сезон",
          "value": "Лето"
        },
        {
          "name": "Материал стельки",
          "value": "текстиль"
        }
      ]
    }
  ],
  "characteristicsCount": 15,
  "contents": null,
  "countryOfOrigin": "Китай",
  "composition": "текстиль, ТПР (термопластичная резина), EVA",
  "colorName": "голубой",
  "gender": "Женский",
  "season": "Лето",
  "colorVariantIds": [
    658633915,
    658633913,
    658633916
  ],
  "colorVariantsCount": 4,
  "sizes": [
    {
      "id": 1797104620,
      "name": "35"
    },
    {
      "id": 886598550,
      "name": "36"
    },
    {
      "id": 886598551,
      "name": "37"
    }
  ],
  "sizesCount": 8,
  "sizesTable": {
    "columns": [
      "RU",
      "Длина стопы, в см"
    ],
    "rows": [
      {
        "size": "35",
        "values": [
          "35",
          "22-22.5"
        ]
      },
      {
        "size": "36",
        "values": [
          "36",
          "22.5-23"
        ]
      }
    ]
  },
  "isMarkingRequired": true,
  "isCertificateVerified": false,
  "hasRichContent": true,
  "hasSellerRecommendations": false,
  "richContentImages": [
    "https://content-03.wbbasket.ru/8fdde93b-806e-4279-ba8d-1ebb8ec3bcae/5.jpg",
    "https://content-03.wbbasket.ru/7439b65c-ce0b-4b0f-9079-619cdcdbbfdb/6.jpg"
  ],
  "sellerId": 1102567,
  "sellerName": "ООО \"ХЭППИ\"",
  "sellerFullName": "ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ \"ХЭППИ\"",
  "sellerTrademark": "BAASPLOA",
  "sellerLegalForm": "ООО",
  "sellerInn": "7743310291",
  "sellerOgrn": "1197746476795",
  "sellerKpp": "772501001",
  "sellerLegalAddress": "115280, город Москва, вн.тер. г. муниципальный округ Даниловский, ул. Ленинская Слобода, д. 19, помещ. 6/2",
  "sellerCountry": "RU",
  "sellerTaxpayerCode": "7743310291",
  "sellerUrl": "https://www.wildberries.ru/seller/1102567",
  "price": 3588,
  "originalPrice": 12096,
  "discountPercent": 70,
  "currency": "RUB",
  "inStock": true,
  "isNew": false,
  "isExpressDelivery": false,
  "has3D": false,
  "isAdult": false,
  "isDigital": false,
  "priceHistory": [
    {
      "date": "2026-09-06T00:00:00Z",
      "price": 3139.5
    },
    {
      "date": "2026-09-13T00:00:00Z",
      "price": 4196.26
    },
    {
      "date": "2026-09-20T00:00:00Z",
      "price": 4079.5
    }
  ],
  "lowestPrice": 2352.2,
  "lowestPriceAt": "2026-08-16T00:00:00Z",
  "highestPrice": 4817.2,
  "averagePrice": 3646.2,
  "priceHistoryStartAt": "2026-07-05T00:00:00Z",
  "rating": 4.9,
  "reviewsCount": 379,
  "reviewsWithPhoto": 17,
  "reviewsWithText": 201,
  "reviewsWithVideo": 0,
  "ratingDistribution": {
    "1": 1,
    "2": 0,
    "3": 2,
    "4": 18,
    "5": 353
  },
  "ratingDistributionPercent": {
    "1": 0,
    "2": 0,
    "3": 1,
    "4": 5,
    "5": 94
  },
  "rating5Count": 353,
  "rating4Count": 18,
  "rating3Count": 2,
  "rating2Count": 0,
  "rating1Count": 1,
  "variantRating": 4.93,
  "variantReviewsCount": 96,
  "variantRatings": [
    {
      "id": 658633913,
      "rating": 4.95,
      "reviewsCount": 73
    },
    {
      "id": 658633915,
      "rating": 4.89,
      "reviewsCount": 101
    }
  ],
  "sizeFit": {
    "smaller": 33,
    "ok": 67,
    "bigger": 0
  },
  "reviewsLast30Days": 13,
  "reviewsLast90Days": 64,
  "ratingLast30Days": 4.54,
  "sellerReplyRate": 100,
  "lastReviewAt": "2026-10-27T13:00:35Z",
  "reviews": [
    {
      "id": "ym54tYmRTvNXTJjoAHAm",
      "author": "Татьяна",
      "rating": 1,
      "text": "Заказывала коричневые,пришли розовые,",
      "pros": null,
      "cons": null,
      "color": "Бежевый",
      "size": "39",
      "variantId": 658633916,
      "createdAt": "2026-10-26T16:22:33Z",
      "photos": null,
      "videoUrl": null,
      "likes": 0,
      "dislikes": 0,
      "sellerReply": "Здравствуйте! Сожалеем, что данная модель Вам не подошла. Надеемся, что впредь другие наши модели удовлетворят Ваши ожидания. Благодарим Вас интерес к нашему…",
      "sellerReplyAt": "2026-10-27T06:42:29Z"
    }
  ],
  "reviewImages": [
    "https://feedback-01.wbbasket.ru/7518b896-99cb-4bb6-9a56-3f04577de9b7/fs.webp",
    "https://feedback-03.wbbasket.ru/0bee75c7-7344-49dc-acac-84db0197dc87/fs.webp"
  ],
  "questionsCount": 12,
  "questions": [
    {
      "id": "k86tuJ8BWgxW4OcHygV3",
      "text": "Верх кроссовок текстиль и замша. Замша натуральная? Спасибо",
      "variantId": 658633913,
      "createdAt": "2026-07-31T14:57:05Z",
      "answer": "Здравствуйте! Да, замша натуральная. Благодарим Вас за вопрос и интерес к нашему бренду. Желаем Вам удачных покупок!\nДобавляйте наш бренд в избранное, чтобы…",
      "answeredAt": "2026-08-03T08:39:48Z"
    }
  ],
  "lastQuestionAt": "2026-07-31T14:57:05Z",
  "imageUrl": "https://basket-32.wbbasket.ru/vol6586/part658633/658633917/images/big/1.webp",
  "thumbnailUrl": "https://basket-32.wbbasket.ru/vol6586/part658633/658633917/images/c246x328/1.webp",
  "images": [
    "https://basket-32.wbbasket.ru/vol6586/part658633/658633917/images/big/1.webp",
    "https://basket-32.wbbasket.ru/vol6586/part658633/658633917/images/big/2.webp",
    "https://basket-32.wbbasket.ru/vol6586/part658633/658633917/images/big/3.webp"
  ],
  "imageCount": 11,
  "hasVideo": true,
  "videoUrl": "https://videonme-basket-08.wbbasket.ru/vol93/part65863/658633917/hls/1440p/index.m3u8",
  "cardCreatedAt": "2025-11-25T15:33:12Z",
  "cardUpdatedAt": "2026-08-17T16:01:10Z",
  "searchQuery": "кроссовки женские",
  "scrapedAt": "2026-10-31T10:30:27Z"
}

Advanced usage

Watch competitor prices every morning

Schedule this input daily (Apify Schedules) and keep only what moves: price, discount and stock. Reviews and questions are turned off to keep each row light.

{
    "productIds": ["848943321", "1194919474", "815676702", "658633917"],
    "maxReviews": 0,
    "maxQuestions": 0
}

Compare price with lowestPrice and averagePrice on the same row to spot a promotion the day it starts.

Build a niche report from several search phrases

Three phrases share a cap of 300 products. Sort the export by reviewsLast30Days to see which products sell now, and group by sellerInn to see which companies hold the niche behind their shop names.

{
    "searchQueries": ["кроссовки женские", "кроссовки мужские", "кеды"],
    "maxItems": 300,
    "maxReviews": 0,
    "maxQuestions": 0
}

Export an English catalog for a buyer outside Russia

English names, categories, descriptions and characteristics, with the Russian card as a fallback for the products that have no English version.

{
    "productUrls": [
        "https://www.wildberries.ru/catalog/684352087/detail.aspx",
        "https://www.wildberries.ru/catalog/155745400/detail.aspx",
        "https://www.wildberries.ru/catalog/5688668/detail.aspx"
    ],
    "language": "en"
}

Pull a deep review sample for one product

Up to 1,000 latest reviews on one row, with text, pros, cons, photos, video and the seller's reply. Useful to read the complaints of a competitor before you launch a similar product.

{
    "productIds": ["815676702"],
    "maxReviews": 1000,
    "maxQuestions": 30
}

Audit the cards of your own brand

Give your article numbers and check, in one table, which cards have no rich content (hasRichContent), few photos (imageCount), a short characteristic list (characteristicsCount), no size chart (sizesTable) or unanswered questions.

{
    "productIds": ["1009225136", "1009736247", "1233437640"],
    "maxReviews": 3,
    "maxQuestions": 30
}

To send the rows to your own tools, read the dataset from Python with apify-client, keep the fields you need and write a CSV for your BI tool:

from apify_client import ApifyClient
import csv

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("silentflow/wildberries-detail-scraper").call(run_input={
    "searchQueries": ["кофе в зернах"], "maxItems": 50, "maxReviews": 0, "maxQuestions": 0,
})
rows = list(client.dataset(run["defaultDatasetId"]).iterate_items())
rows.sort(key=lambda r: r.get("reviewsLast30Days") or 0, reverse=True)
with open("wildberries_coffee.csv", "w", newline="") as f:
    w = csv.writer(f)
    w.writerow(["id", "name", "brand", "price", "rating", "reviewsLast30Days", "sellerName", "sellerInn"])
    for r in rows:
        w.writerow([r["id"], r["name"], r["brand"], r["price"], r["rating"], r["reviewsLast30Days"], r["sellerName"], r["sellerInn"]])

FAQ

What is Wildberries? Wildberries (Вайлдберриз, WB) is the largest online marketplace in Russia, with sites for Belarus, Kazakhstan, Armenia, Uzbekistan and other countries. It plays the role Amazon plays in the United States: brands and independent sellers list their products there, and buyers leave ratings, reviews and questions on each card.

What exactly does one row contain? One Wildberries product (one article number) with 97 columns: the card (name, brand, category, description, characteristics, sizes, colors), the live offer (price, price before discount, discount), the weekly price history, the legal seller (name, INN, OGRN, KPP, legal address), the rating summary and star distribution, review counts over 30 and 90 days, the latest reviews, the latest buyer questions with answers, photos and video.

Can I start without product links? Yes. Type a search phrase in searchQueries, as you would in the Wildberries search box. The products found get the same full detail as a link. The site search lists up to 500 products per phrase; maxItems caps the whole run.

Do I need a Wildberries account? No. The scraper reads the public product pages that any visitor sees. No login, no seller cabinet, no personal API key.

How fresh is the data? Everything is read live when the run starts: price, stock, rating and reviews are those of that moment. Schedule the actor to follow them over time; the priceHistory column already gives you the weekly prices Wildberries keeps.

Why is the price empty on some rows? The live offer comes from the Wildberries search, which lists products that can be bought now. An article that the search does not list (sold out, removed from sale, or hidden) keeps its full card, seller, price history, ratings and reviews, and its price, inStock and discount columns stay null. Products found with searchQueries always have their live offer.

Can I get English product data? Yes. Set language to en. Wildberries publishes an English version of most cards; on our tests it was there for about 9 products in 10. When a card has no English version, the row carries the Russian card and its language column says ru.

Why do the colors of one product share the same reviews? On Wildberries, the color variants of one card are grouped (imtId), and the rating, reviews and questions belong to the group, as on the site. Each row still tells you the rating of its own color (variantRating, variantReviewsCount), the rating of every color (variantRatings), and the variant each review and question is about (variantId).

Why are some reviews without text? Many Wildberries buyers leave a star rating, or pros and cons, without writing a comment. Those reviews are kept with text set to null, so the latest reviews you get are the real latest ones. reviewsWithText tells you how many reviews of the product have a written comment.

Can I scrape many products in one run? Yes. Give as many links and article numbers as you need and raise maxItems above their number; each search phrase adds up to 500 more. Rows are saved as the run goes, so a run you stop early keeps what it already read.

Are the photo and video links permanent? The photo links point to the Wildberries image servers and stay valid while the product card exists. The video columns hold the stream address of the product video and of each review video.

Is the seller data the same as on the site? Yes. It is the legal information Wildberries shows in the seller block of each card: company or entrepreneur name, INN, OGRN or OGRNIP, KPP for companies, legal address. sellerLegalForm reads the company type (ООО, ИП, АО, ПАО, ТОО) from the legal name.

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Support

Need something this scraper doesn't do yet? We ship features fast.

• Feature requests go straight to our backlog
• Enterprise needs? We do custom integrations and high-volume plans
• Pricing questions? Check the Monetization tab on the actor page

Response time: usually under 24 hours.

Legal compliance

This Actor extracts publicly available data from Wildberries product pages. It does not bypass any login, paywall or CAPTCHA, and it does not access seller cabinets or buyer accounts. Users are responsible for complying with Wildberries' terms of service and with the data protection laws that apply to them (GDPR, CCPA, PIPL where relevant, and Russian Federal Law 152-FZ on personal data). Reviews and questions carry the buyer's first name as published by Wildberries; when you store or process them, handle them as personal data. Seller legal data (INN, OGRN, legal address) is the public registration information Wildberries displays. The data returned is informational; verify it before using it for regulated decisions.

Built by SilentFlow for brands, sellers and analysts who track Wildberries every day.