# Wildberries Detail Scraper | Product Data, Prices & Sellers (`silentflow/wildberries-detail-scraper`) Actor

Wildberries scraper (Парсер Wildberries, Вайлдберриз) that turns product links, article numbers or a search phrase into full rows: live price, price history, specs, seller INN and OGRN, ratings, reviews and Q\&A, in Russian or English. 10 products in 6 seconds, 95 fields each. No account needed.

- **URL**: https://apify.com/silentflow/wildberries-detail-scraper.md
- **Developed by:** [SilentFlow](https://apify.com/silentflow) (community)
- **Categories:** E-commerce, Other, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.24 / 1,000 products

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

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

**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?

- <strong>93 filled data columns per product, not a thin summary.</strong> 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.
- <strong>Start from a search phrase, not only from links.</strong> Paste product links, type article numbers, or type what a shopper would type, such as <code>кроссовки женские</code>, 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.
- <strong>Know who really sells, and how fast it sells.</strong> 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:

```json
{
    "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.

![How it works](https://api.apify.com/v2/key-value-stores/YXm81xySHg6uRkewS/records/wildberries-detail-scraper-how-it-works-v1.png)

### 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.

```json
{
    "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.

```json
{
    "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.

```json
{
    "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):

```json
{
  "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.

```json
{
    "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.

```json
{
    "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.

```json
{
    "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.

```json
{
    "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.

```json
{
    "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:

```python
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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- **Xigua** - [Xigua Scraper | Videos, Creators and Downloads](https://apify.com/silentflow/xigua-scraper)
- **YouTube Autocomplete** - [YouTube Autocomplete Scraper | Keyword Suggestions](https://apify.com/silentflow/youtube-autocomplete-scraper)
- **Douyin** - [Douyin Comments Scraper | Comments, Likes and IP Regions](https://apify.com/silentflow/douyin-comments-scraper)
- **Facebook** - [Facebook Company Scraper | Emails, Phones, Ratings](https://apify.com/silentflow/facebook-company-scraper)
- **OnlyFans** - [OnlyFans Creator Scraper](https://apify.com/silentflow/onlyfans-scraper)
- **Reddit** - [Reddit Scraper | Comments, Posts and Users](https://apify.com/silentflow/reddit-scraper-ppr)
- **RedNote** - [RedNote Detail Scraper | Xiaohongshu Details, Images, Videos](https://apify.com/silentflow/rednote-detail-scraper)
- **Skool Group** - [Skool Group Scraper](https://apify.com/silentflow/skool-scraper)
- **Skool Community** - [Skool Community Scraper](https://apify.com/silentflow/skool-scraper-ppe)
- **Snapchat** - [Snapchat Ads Scraper | Ad Library, Impressions & Targeting](https://apify.com/silentflow/snapchat-ads-scraper)
- **Weibo** - [Weibo Scraper | Posts, Profiles and Engagement](https://apify.com/silentflow/weibo-scraper)
- **X Timeline** - [X Timeline Scraper | Tweets and Engagement Stats](https://apify.com/silentflow/x-timeline-scraper)
- **YouTube** - [YouTube Transcript Scraper](https://apify.com/silentflow/youtube-transcript-scraper)

**🏢 Business data**

- **LinkedIn Company Search** - [LinkedIn Company Search Scraper | Profiles & Firmographics](https://apify.com/silentflow/linkedin-profiles-companies-scraper)
- **Ctrip** - [Ctrip Scraper | Attractions, Tickets and Reviews](https://apify.com/silentflow/ctrip-scraper)
- **Teachable Course** - [Teachable Course Scraper](https://apify.com/silentflow/teachable-scraper)
- **Website Tech Stack** - [Website Tech Stack Scraper](https://apify.com/silentflow/website-tech-stack-scraper)
- **Teachable - Courses, Prices & Instructors** - [Teachable Scraper - Courses, Prices & Instructors](https://apify.com/silentflow/teachable-scraper-ppr)
- **Trustpilot** - [Trustpilot Scraper | Reviews, Ratings and Company Contacts](https://apify.com/silentflow/trustpilot-enricher)

**✈️ Travel**

- **Tencent** - [Tencent Scraper | Maps Places, Phones and Ratings](https://apify.com/silentflow/tencent-scraper)
- **Flight Price** - [Flight Price Scraper](https://apify.com/silentflow/flight-price-scraper)
- **Zomato** - [Zomato Reviews Scraper | Restaurant Ratings and Replies](https://apify.com/silentflow/zomato-reviews-scraper)
- **2GIS** - [2GIS Reviews Scraper | Ratings, Photos and Owner Replies](https://apify.com/silentflow/2gis-reviews-scraper)
- **Booking.com Hotel** - [Booking.com Hotel Scraper](https://apify.com/silentflow/booking-scraper-ppr)
- **Despegar** - [Despegar Reviews Scraper | Hotel Reviews and Ratings](https://apify.com/silentflow/despegar-reviews-scraper)
- **Google Maps** - [Google Maps Scraper](https://apify.com/silentflow/google-maps-scraper)
- **Kakao** - [Kakao Scraper | Map Places, Reviews and Phones](https://apify.com/silentflow/kakao-scraper)
- **OpenTable** - [OpenTable Reviews Scraper | Restaurant Reviews and Ratings](https://apify.com/silentflow/opentable-reviews-scraper)
- **TheFork** - [TheFork Scraper | Restaurants, Menus and Ratings](https://apify.com/silentflow/thefork-scraper)
- **Viator** - [Viator Reviews Scraper | Tour Reviews and Ratings](https://apify.com/silentflow/viator-reviews-scraper)
- **Booking** - [Booking Scraper | Hotel Prices, Photos, Availability](https://apify.com/silentflow/booking-scraper)
- **Trip** - [Trip Reviews Scraper | Hotel Reviews and Ratings](https://apify.com/silentflow/trip-reviews-scraper)

**🎯 Lead generation**

- **Northdata** - [Northdata Company Scraper](https://apify.com/silentflow/northdata-scraper)
- **Dealroom** - [Dealroom Scraper | Companies and Investors](https://apify.com/silentflow/dealroom-scraper-ppe)
- **ZocDoc** - [ZocDoc Scraper | Doctors, Reviews and Availability](https://apify.com/silentflow/zocdoc-scraper-ppr)
- **BuiltWith** - [BuiltWith Scraper | Tech Stacks and Top Sites](https://apify.com/silentflow/builtwith-scraper)
- **PagesJaunes** - [PagesJaunes Scraper | French Business Emails and SIRET](https://apify.com/silentflow/pagesjaunes-scraper)
- **UK Companies House** - [UK Companies House Enricher](https://apify.com/silentflow/uk-companies-house-enricher)
- **CNPJ Brazilian** - [CNPJ Brazilian Company Enricher](https://apify.com/silentflow/cnpj-enricher)
- **Justdial** - [Justdial Companies Scraper | Business Leads, Phones and Emails](https://apify.com/silentflow/justdial-companies-scraper)
- **PagesJaunes** - [PagesJaunes Business Scraper](https://apify.com/silentflow/pagesjaunes-scraper-ppr)
- **SIRET** - [SIRET Company Enricher](https://apify.com/silentflow/siret-enricher-ppr)
- **ThomasNet Suppliers** - [ThomasNet Suppliers Scraper](https://apify.com/silentflow/thomasnet-scraper)
- **Company Data** - [Company Data Scraper | Emails, Phones and Tech Stack](https://apify.com/silentflow/company-data-scraper)
- **Dealroom Startup Data** - [Dealroom Startup Data Scraper](https://apify.com/silentflow/dealroom-scraper)
- **Delaware** - [Delaware Scraper | Corporations, LLCs and Registered Agents](https://apify.com/silentflow/delaware-scraper)
- **French Company Prospector** - [French Company Prospector](https://apify.com/silentflow/french-company-prospector)
- **G2** - [G2 Reviews Scraper](https://apify.com/silentflow/g2-review-intelligence)
- **Pappers** - [Pappers Scraper | French Companies, Directors & Financials](https://apify.com/silentflow/pappers-scraper)
- **SEC** - [SEC Scraper | EDGAR Filings and Company Data](https://apify.com/silentflow/sec-scraper)
- **SoftwareAdvice** - [SoftwareAdvice Scraper | Reviews, Ratings and Pros & Cons](https://apify.com/silentflow/softwareadvice-scraper)
- **Sunbiz** - [Sunbiz Companies Scraper | New Florida Business Leads](https://apify.com/silentflow/sunbiz-companies-scraper)
- **Sunbiz** - [Sunbiz Scraper | Florida Companies and Officers](https://apify.com/silentflow/sunbiz-scraper)
- **USPTO** - [USPTO Scraper | Trademark Search and Status](https://apify.com/silentflow/uspto-scraper)
- **Clutch** - [Clutch Scraper | Agencies, Reviews, Ratings, Services](https://apify.com/silentflow/clutch-scraper)
- **Clutch Agency** - [Clutch Agency Scraper](https://apify.com/silentflow/clutch-scraper-ppe)
- **Domain** - [Domain Enricher](https://apify.com/silentflow/domain-enricher)
- **Google Ads Transparency** - [Google Ads Transparency Scraper](https://apify.com/silentflow/google-ads-transparency-scraper)
- **KVK** - [KVK Scraper | Dutch Companies and SBI Codes](https://apify.com/silentflow/kvk-scraper)
- **SIRET French** - [SIRET French Company Enricher](https://apify.com/silentflow/siret-enricher)
- **ZocDoc** - [ZocDoc Scraper](https://apify.com/silentflow/zocdoc-scraper)

**🔎 SEO**

- **Similarweb** - [Similarweb Scraper | Website Traffic, Rankings and Competitors](https://apify.com/silentflow/similarweb-scraper)
- **Scribd** - [Scribd Scraper | Documents, Authors and Views](https://apify.com/silentflow/scribd-scraper)
- **SpyFu** - [SpyFu Scraper | SEO, PPC and Competitor Data](https://apify.com/silentflow/spyfu-scraper)
- **Apple** - [Apple Reviews Scraper | App Store Reviews and Ratings](https://apify.com/silentflow/apple-reviews-scraper)
- **Apple** - [Apple Scraper | App Store Apps, Ratings and Charts](https://apify.com/silentflow/apple-scraper)
- **Bing** - [Bing Enricher Scraper | Mobile Friendly Test and Indexing](https://apify.com/silentflow/bing-enricher-scraper)
- **Google News** - [Google News Scraper](https://apify.com/silentflow/google-news-scraper)
- **Yandexsearch** - [Yandexsearch Scraper | Search Results and Rankings](https://apify.com/silentflow/yandexsearch-scraper)

**📈 Marketing**

- **Douyin** - [Douyin Transcript Scraper | Subtitles and Speech to Text](https://apify.com/silentflow/douyin-transcript-scraper)

**🎬 Video**

- **Pexels** - [Pexels Scraper | Photos, Videos and Download Stats](https://apify.com/silentflow/pexels-scraper)

**📰 News**

- **ForexFactory** - [ForexFactory Scraper | Economic Calendar and Forecasts](https://apify.com/silentflow/forexfactory-scraper)

**🧰 More tools**

- **PrizePicks** - [PrizePicks Scraper | Player Props, Lines and Projections](https://apify.com/silentflow/prizepicks-scraper)
- **Maersk** - [Maersk Scraper | Vessel Schedules and Port Calls](https://apify.com/silentflow/maersk-scraper)
- **FanDuel** - [FanDuel Scraper | Odds, Spreads and Player Props](https://apify.com/silentflow/fanduel-scraper)

### 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.*

# Actor input Schema

## `productUrls` (type: `array`):

Wildberries product pages, one per line, for example <code>https://www.wildberries.ru/catalog/684352087/detail.aspx</code>. Links from wildberries.ru, .by, .kz and the mobile app all work. Each link gives one row.

## `productIds` (type: `array`):

Wildberries article numbers (артикул, nmId), one per line, for example <code>848943321</code>. Use them alone or together with links: each article gives one row, duplicates are read once.

## `searchQueries` (type: `array`):

Words you would type in the Wildberries search box, for example <code>кроссовки женские</code> or <code>iphone 15</code>. Every product found gets the same full detail as a link. Up to 500 products per phrase, shared with the cap below.

## `language` (type: `string`):

Language of the name, category, description and characteristics. <code>en</code> gives the English card when the seller has one (about 9 products in 10) and the Russian card otherwise; the <code>language</code> column says which one you got. Codes and names both work: <code>en</code>, <code>english</code>.

## `maxItems` (type: `integer`):

Stops the run after this many products in total. Links and article numbers are read first, then the search phrases share what is left. Each product is one row.

## `maxReviews` (type: `integer`):

Latest buyer reviews kept on each row, with text, pros, cons, photos, video and the seller's reply. <code>0</code> keeps only the rating summary. Up to 1,000.

## `maxQuestions` (type: `integer`):

Latest buyer questions kept on each row, with the seller's answer. <code>0</code> keeps only the question count. Up to 30.

## Actor input object example

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

# Actor output Schema

## `products` (type: `string`):

Every product: id, url, imtId, name, brand, vendorCode, category, description, characteristics, countryOfOrigin, sizes, seller legal data, price, originalPrice, discountPercent, priceHistory, rating, ratingDistribution, reviews, questions, images, videoUrl, cardCreatedAt and more.

## `prices` (type: `string`):

Live price, price before discount, discount and the lowest, average and highest weekly prices.

## `sellers` (type: `string`):

The legal seller of each product: name, legal form, INN, OGRN, legal address and shop name.

## `ratings` (type: `string`):

Rating, review counts, reviews of the last 30 days, seller reply rate and questions.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "productUrls": [
        "https://www.wildberries.ru/catalog/1194919474/detail.aspx"
    ],
    "productIds": [
        "848943321"
    ],
    "searchQueries": [
        "кроссовки женские"
    ],
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("silentflow/wildberries-detail-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "productUrls": ["https://www.wildberries.ru/catalog/1194919474/detail.aspx"],
    "productIds": ["848943321"],
    "searchQueries": ["кроссовки женские"],
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("silentflow/wildberries-detail-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "productUrls": [
    "https://www.wildberries.ru/catalog/1194919474/detail.aspx"
  ],
  "productIds": [
    "848943321"
  ],
  "searchQueries": [
    "кроссовки женские"
  ],
  "maxItems": 10
}' |
apify call silentflow/wildberries-detail-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,silentflow/wildberries-detail-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/4xwbRgGnLrbHSVrW2/builds/PeynimRblHRY7OUsf/openapi.json
