Wildberries Product Detail Scraper | Specs, Reviews & Price History (Вайлдберриз) 2026

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zen-studio/wildberries-detail-scraper on Apify. Full Wildberries product records (specs, price history, seller, reviews) by URL or ID. Call ApifyClient("TOKEN").actor("zen-studio/wildberries-detail-scraper").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items. Reviews go to a separate dataset (reviewsDatasetId on each product). Set reviewMode:true for flat reviews in the default dataset, billed as reviews only. Full spec: GET https://api.apify.com/v2/acts/zen-studio~wildberries-detail-scraper/builds/default (Bearer TOKEN) → inputSchema, actorDefinition.storages.dataset, readme. Token: https://console.apify.com/account/integrations

Соберите полную карточку любого товара Wildberries по ссылке или артикулу. Характеристики, актуальная цена и наличие, история цен, профиль продавца, отзывы с фото и видео, вопросы и ответы. Экспорт в JSON, CSV, Excel.

Get the full record for any Wildberries (Вайлдберриз / WB) product by URL or ID. Specifications, live price and stock for any delivery city, full price history, the seller profile, and every review with photos and video. Products go to the default dataset; reviews to a separate dataset. Or switch on Review mode to get a flat list of reviews as the main output.

Zen Studio Russian Marketplaces   •  Product, price & seller data across Russia's top stores
Wildberries Detail ➤ You are here	Wildberries Scraper Prices, specs, reviews	Ozon Scraper Products, prices, buybox	Avito Listings, phones, sellers	Yandex Market Product data & prices

Key Features

Feature	What you get
86 fields per product	Specifications, live and pre-discount price, stock by warehouse, ratings, category, dimensions, images, and the decoded flag set, in one record.
Complete price history	Every price change over time, with ISO dates and rubles, to chart discounts and track repricing.
Reviews in their own dataset	Each review with author, rating, pros and cons, photos, the seller reply, and a direct video link. Cap per product or pull all.
Review mode	One switch outputs a flat list of reviews (one row each) as the main dataset, billed as reviews only. Runs 2-3x faster than full detail.
Seller, Q&A and videos	Optional toggles add the supplier rating and identity, buyer questions with answers, and product videos.
Per-city pricing	Pick a delivery region for the price, stock, and delivery time a shopper in that city sees.
Free tier	10 lifetime runs, 50 products per run, no credit card.

How to Scrape Wildberries Product Data

Paste product links or IDs, choose what to include, pick a delivery city, and run.

Basic: one product by URL

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

By product ID (article / nmId)

{
    "productIds": ["762015089", "211695539"]
}

Products plus a capped number of reviews

{
    "productUrls": ["https://www.wildberries.ru/catalog/684352087/detail.aspx"],
    "includeReviews": true,
    "maxReviewsPerProduct": 50,
    "deliveryCity": "Saint Petersburg"
}

Specs only, fastest run

{
    "productIds": ["684352087", "762015089"],
    "includeReviews": false,
    "includeSellerProfile": false,
    "includeQuestions": false,
    "includePriceHistory": false,
    "includeVideos": false
}

Review mode: just the reviews

{
    "productIds": ["762015089"],
    "reviewMode": true,
    "maxReviewsPerProduct": 200
}

In Review mode, every result row is a single review and product cards are skipped. You can mix productUrls and productIds in the same run. Leave maxReviewsPerProduct empty to fetch all available reviews for each product.

Input Parameters

Parameter	Type	Default	Description
productUrls	array	required*	Wildberries product page URLs.
productIds	array	required*	Wildberries product IDs (nmId / article).
reviewMode	boolean	false	Output flat reviews to the default dataset, one row each, no product rows. Billed as reviews only; other data sources turn off.
includeReviews	boolean	true	Save reviews to a separate dataset.
maxReviewsPerProduct	integer	20	Reviews per product. Leave empty for all available.
includeSellerProfile	boolean	true	Add the seller rating and profile.
includeQuestions	boolean	true	Add buyer questions and seller answers.
includePriceHistory	boolean	true	Add price-over-time points.
includeVideos	boolean	true	Add short videos tagged to the product.
deliveryCity	string	Moscow	City for price, stock, and delivery time (20 options).

* Provide at least one of productUrls or productIds.

What Data Can You Extract from Wildberries?

The example below is a real product record. Review bodies go to a separate dataset.

Group	Fields
Identity	nmId, imtId, url, name, brand, slug, vendorCode, category, categoryRoot
Price & stock	price, priceBasic, currency, inStock, totalQuantity, deliveryHours, per-size sizes
Ratings	rating, reviewsCount, reviewsAvailable, reviewRatingDistribution, reviewsWithPhoto / WithText / WithVideo
Content	description, descriptionMarkdown, characteristics, contents, colorName, images, imageCount
History & seller	priceHistory, seller, supplierCountry, supplierRating
Decoded flags	viewFlagsDecoded, supplierFlagsDecoded, plus the raw values for full transparency
Detail extras	questions (30 most recent, with seller answers), questionsCount, videos, reviewsDatasetId, reviewsExported

Output Example: product

{
  "nmId": 684352087,
  "imtId": 700043406,
  "url": "https://www.wildberries.ru/catalog/684352087/detail.aspx",
  "name": "Ноутбук игровой Vector 17 HX AI A2XW",
  "brand": "MSI",
  "brandId": 27445,
  "slug": "noutbuk-igrovoj-vector-17-hx-ai-a2xw",
  "price": 207125,
  "priceBasic": 272893,
  "currency": "RUB",
  "inStock": true,
  "totalQuantity": 54,
  "deliveryHours": 39,
  "sizes": [
    {
      "name": "",
      "optionId": 923850927,
      "price": 207125,
      "priceBasic": 272893,
      "priceRaw": { "basic": 27289300, "product": 20712500 },
      "saleConditions": 2281701376,
      "saleConditionsDecoded": {
        "isPrepaid": false,
        "isUnreturnable": false,
        "isPromo": false,
        "isPrepaidForCourier": true
        // ... 7 more
      },
      "dtype": 6597069766657,
      "deliveryType": null
    }
  ],
  "rating": 5,
  "reviewsCount": 39,
  "reviewRatingDistribution": { "1": 0, "2": 0, "3": 0, "4": 1, "5": 37 },
  "reviewRatingDistributionPercent": { "1": 0, "2": 0, "3": 0, "4": 3, "5": 97 },
  "reviewsWithPhoto": 9,
  "reviewsWithText": 24,
  "reviewsWithVideo": 1,
  "sizeFit": null,
  "reviewsAvailable": 39,
  "reviewsAggregate": {
    "feedbackCount": 39,
    "feedbackCountWithText": 24,
    "feedbackCountWithPhoto": 9,
    "feedbackCountWithVideo": 1,
    "valuation": "5.0"
    // ... full raw review aggregate
  },
  "description": "Ноутбук MSI Vector 17 HX AI A2XWHG-240XRU Intel Core Ultra 9 275HX/32Gb (2*16 D5)/SSD 1Tb ...",
  "descriptionMarkdown": "Ноутбук MSI Vector 17 HX AI A2XWHG-240XRU Intel Core Ultra 9 275HX ...",
  "characteristics": [
    { "name": "Цвет", "value": "серый", "group": "Основная информация" },
    { "name": "Форм-фактор ноутбука", "value": "Ноутбук игровой", "group": "Основная информация" },
    { "name": "Модель", "value": "Vector 17 HX AI A2XW", "group": "Общие характеристики" }
    // ... 57 more
  ],
  "composition": null,
  "certificate": {},
  "sizesTable": null,
  "contents": "Ноутбук, адаптер питания, документация",
  "category": "Ноутбуки",
  "categoryRoot": "Ноутбуки и компьютеры",
  "vendorCode": "1402828",
  "brandHash": "486DD0D0BD47D721",
  "colorName": "серый",
  "colorVariants": [684352087],
  "kinds": null,
  "season": null,
  "cardCreatedAt": "2025-12-04T11:45:09.898312Z",
  "cardUpdatedAt": "2026-06-27T22:06:40.785573Z",
  "images": [
    "https://basket-33.wbbasket.ru/vol6843/part684352/684352087/images/big/1.webp",
    "https://basket-33.wbbasket.ru/vol6843/part684352/684352087/images/big/2.webp"
    // ... 11 more
  ],
  "imageCount": 13,
  "hasVideo": false,
  "weight": 5.11,
  "seller": {
    "id": 768659,
    "name": "Modern Device",
    "valuation": "4.8",
    "feedbacksCount": 174167,
    "registrationDate": "2022-04-29T08:34:16Z",
    "lifetimeUnitsSold": 1045768,
    "deliveryHours": 42,
    "isPremium": false,
    "supplierLoyaltyProgramLevel": 0
    // ... full storefront profile
  },
  "supplierCountry": "ru",
  "supplierRating": 4.8,
  "viewFlags": 1335432,
  "viewFlagsDecoded": {
    "isGoodPrice": false,
    "isOriginal": true,
    "isUnavailableForPostamatAndKiosk": true,
    "isAvailableForB2b": true,
    "isVatRefundAvailable": true,
    "photoAbTest": 0
    // ... 20 more badges
  },
  "supplierFlags": 12240,
  "supplierFlagsDecoded": {
    "isPremiumSupplier": false,
    "shouldHideSimilarProducts": false,
    "isPaidBigRichPreview": false,
    "isAccent": false,
    "hasRecommendations": true,
    "hasPharmaOffer": false,
    "isEgrocery": false
  },
  "priceHistory": [
    { "timestamp": 1775952000, "date": "2026-04-12T00:00:00+00:00", "price": 198017.2, "priceKopecks": 19801720 },
    { "timestamp": 1776556800, "date": "2026-04-19T00:00:00+00:00", "price": 186875.14, "priceKopecks": 18687514 }
    // ... 3 more
  ],
  "questions": [
    {
      "id": "QtjtRZ0B-KQKWGR8bCNX",
      "text": "Какая гарантия на ноутбук ?",
      "createdDate": "2026-03-31T22:04:40Z",
      "wbUserDetails": { "name": "Александр", "country": "ru", "hasPhoto": false },
      "answer": { "text": "Добрый день! На ноутбук MSI Vector 17 HX AI A2XW предоставляется стандартная гарантия сроком один год ...", "supplierId": 768659 }
    }
    // ... 9 more
  ],
  "questionsCount": 10,
  "videos": null,
  "reviewsDatasetId": "0ojq6eAtSwUKQ4RBb",
  "reviewsExported": 39,
  "inputMode": "detail",
  "sourceQuery": "684352087",
  "scrapedAt": "2026-06-30T16:20:30Z"
  // plus every raw source field (promotions, wh, dist, dtype, payload, …) preserved alongside
}

Every product carries all 86 top-level fields, with raw flag ints kept next to their decoded objects and review bodies in the linked reviews dataset (reviewsDatasetId). reviewsAvailable is how many bodies the source served; reviewsExported is how many were written to that dataset. Long arrays and nested objects are trimmed above for readability.

Output Example: review (separate dataset)

{
  "id": "NvFA7VhJ4fQVhQBsutUp",
  "nmId": 762015089,
  "imtId": 200838622,
  "author": "Nikita",
  "rating": 5,
  "text": "",
  "pros": "звук бомба, лучше я еще не слышал",
  "cons": "",
  "color": "белый",
  "size": "0",
  "date": "2026-06-29T17:48:08Z",
  "createdDate": "2026-06-29T17:48:08Z",
  "updatedDate": "2026-06-29T19:13:26.345667557Z",
  "sellerAnswer": "Здравствуйте, уважаемый покупатель! Благодарим Вас,…",
  "bables": [ "внешний вид", "…+2 more" ],
  "votesUp": 0,
  "votesDown": 0,
  "hasVideo": false,
  "video": null,
  "wbUserDetails": { "country": "RU", "name": "Nikita", "hasPhoto": false },
  "scrapedAt": "2026-06-30T08:06:11.049379+00:00"
}

Reviews with video also include a direct videoUrl. In detail mode the reviewsDatasetId on each product points to the dataset that holds its reviews; in Review mode these same rows are the default dataset.

Advanced Usage

Ready-made configurations for catalog enrichment, price-history analysis, review mining, and per-city price checks.

Enrich a catalog: many products at once

{
    "productIds": ["684352087", "762015089", "211695539", "152540730"],
    "includeReviews": false,
    "includePriceHistory": true
}

Mine all reviews for a product (review mode)

{
    "productUrls": ["https://www.wildberries.ru/catalog/762015089/detail.aspx"],
    "reviewMode": true
}

Each result row is one review. Leave maxReviewsPerProduct empty to pull every available review (up to roughly 1,000 per product), or set a cap. You pay for reviews only.

Compare prices across delivery cities

{
    "productIds": ["684352087"],
    "deliveryCity": "Vladivostok",
    "includeReviews": false
}

Pricing: Pay Per Event (PPE)

You pay for the products and reviews you actually receive.

Event	Price
Product scraped	$0.005
Review scraped	$0.002

Examples:

• 100 products with full specs, price history and seller: $0.50
• 100 products with 20 reviews each: $4.50
• 1,000 reviews in review mode: $2.00
• 1,000 products, specs only: $5.00

Volume discounts apply automatically at higher subscription tiers. Free tier: 10 runs, 50 products per run.

FAQ

What is Wildberries (Вайлдберриз / WB)? Wildberries is Russia's largest online marketplace, selling electronics, fashion, home goods, beauty, and more. Each product has an article number (nmId). This Actor turns any product link or article into a structured record with specs, price history, the seller profile, and reviews.

How do I find a product ID? The ID is the number in a product URL: wildberries.ru/catalog/684352087/detail.aspx has the ID 684352087. You can paste the full URL or just the number.

How do I scrape many products at once? Add every link to productUrls or every article to productIds, up to 1,000 per run. To collect IDs in bulk from search results or a category, use the Wildberries Product Scraper (our search and list Actor) and feed its IDs here.

Where do the reviews go? In the default detail mode, products go to the default dataset and reviews go to a separate dataset, one row per review, with each product row carrying the reviewsDatasetId that links to them. In Review mode, the reviews are the default dataset (one row per review) and no product rows are produced. Set includeReviews to false to skip reviews entirely.

Can I get only the reviews, without the product cards? Yes. Turn on reviewMode. Each result row is a single review (author, rating, pros and cons, photos, video link, buyer city), product cards are skipped, and you are billed for reviews only. It also runs 2-3x faster because the other data sources are turned off. The per-product limit still comes from maxReviewsPerProduct (leave empty for all available, up to roughly 1,000).

How many reviews can I get per product? Set maxReviewsPerProduct to any number, or leave it empty to fetch all available reviews (up to roughly 1,000 per product).

Does the price depend on the city? Yes. Pick a deliveryCity to get the price, stock, and delivery time a shopper in that city sees. Different cities can show different prices and delivery windows.

How fresh is the data? Every run fetches live data at request time: current price, stock, ratings, and the latest reviews.

How do I export the data? Download JSON, CSV, Excel, XML, or HTML from the run's Storage tab, or pull it through the Apify API. JSON preserves the nested fields (sizes, price history, decoded flags) best.

Do I need a Wildberries account? No. Provide product links or IDs and run.

What's the free tier? 10 lifetime runs, 50 products per run, no credit card required.

Is it legal to scrape Wildberries data? This Actor extracts publicly available product and review data, nothing behind a login. You are responsible for complying with Wildberries terms and with data protection law that applies to you (GDPR, CCPA, and Russia's personal data law). Reviews contain personal data such as author names; handle them accordingly.

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Support

• Bugs: Issues tab
• Features: Issues tab

Legal Compliance

Extracts publicly available data. Users must comply with Wildberries terms and data protection regulations (GDPR, CCPA, and Russia's personal data law). Reviews and questions can contain personal data; handle reviewer names and content accordingly.

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Scrape any Wildberries product by URL or ID: specifications, live price, price history, the seller profile, and every review with photos and video.