Wildberries Products & Reviews Scraper 🛍️

Extract product data and customer reviews from Wildberries — the largest e-commerce marketplace in Russia and the CIS. No login, no cookies, no browser required. Fast public-API scraping with clean, structured JSON output.

🇷🇺 Парсер Wildberries: выгрузка товаров, цен и отзывов WB без токена продавца и без аккаунта — инструкция на русском ниже.

What it does

• 🔎 Search by keyword — get every product for a query (prices, ratings, sellers).
• 🔗 Scrape specific products — paste product URLs or article IDs (артикулы).
• ⭐ Customer reviews — up to ~1,000 recent reviews per product, with rating, text, pros/cons, seller replies, photos flag, size/color, and helpful votes.
• 💰 Live prices — current price and price before discount, in rubles.
• 🏪 Seller info — seller name, ID and rating.

Use cases

• Product & pricing research — track competitor prices and assortment.
• Review analysis / sentiment — feed reviews into an LLM to find what customers love and complain about.
• Sellers & brands — monitor your own listings' ratings and reviews at scale.
• Market intelligence — build datasets across whole categories.

Input

Field	Description
queries	Search keywords, one per line (e.g. кроссовки мужские).
products	Product URLs or bare article IDs — combine with search or use alone.
maxProductsPerQuery	How many products per query (default 50).
includeReviews	Scrape reviews for every product (default on).
maxReviewsPerProduct	Cap reviews per product (default 100).
reviewsAsSeparateItems	Output reviews as separate rows instead of nested.
proxyConfiguration	Proxy settings — use RESIDENTIAL if you hit rate limits.

Example input

{
  "queries": ["наушники беспроводные"],
  "products": ["https://www.wildberries.ru/catalog/221501024/detail.aspx"],
  "maxProductsPerQuery": 50,
  "includeReviews": true,
  "maxReviewsPerProduct": 100
}

Output

Each product is one dataset item (reviews nested inside), or — with reviewsAsSeparateItems — flat product and review rows for easy export to Excel/CSV/Google Sheets.

{
  "type": "product",
  "articleId": 221501024,
  "url": "https://www.wildberries.ru/catalog/221501024/detail.aspx",
  "name": "Кабель зарядки X90 USB-A to Type-C",
  "brand": "HOCO",
  "priceRub": 223.0,
  "priceBeforeDiscountRub": 379.0,
  "rating": 4.9,
  "reviewsCount": 7,
  "sellerName": "HOCO",
  "sellerRating": 4.8,
  "totalReviews": 29,
  "totalReviewsWithText": 7,
  "reviews": [
    {
      "rating": 4,
      "date": "2024-08-29T16:00:21",
      "text": "Спасибо",
      "userName": "Светлана",
      "color": "белый",
      "sellerReply": "Пожалуйста."
    }
  ]
}

Pricing

Pay-per-result: $0.002 per result row. A product with all its reviews nested inside counts as one result — so 50 products with 100 reviews each cost just $0.10. No monthly subscription — pay only for what you extract. (With reviewsAsSeparateItems enabled, each review becomes its own row.)

FAQ

Do I need a Wildberries account or seller API token? No. The scraper reads only public data — the same product pages and reviews anyone can open in a browser. No login, no token, no cookies.

Can I export to Excel / Google Sheets / CSV? Yes — Apify lets you download any run's dataset as XLSX, CSV or JSON. Turn on reviewsAsSeparateItems for a flat, spreadsheet-friendly layout.

Can I monitor competitor prices on Wildberries? Yes — schedule the Actor (e.g. daily) with your product URLs or search queries and compare priceRub between runs.

Does it work outside Russia? Yes. The Actor runs on Apify's servers with residential RU proxies by default, so your location doesn't matter.

Is scraping Wildberries legal? The Actor collects only publicly available information (product listings and customer reviews). You are responsible for how you use the data.

Notes

• Data is scraped from Wildberries' public endpoints — only publicly visible information, no private/account data.
• If you run very large jobs and see rate limiting, enable residential proxies in the input.

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🇷🇺 Как пользоваться (на русском)

Актор собирает данные товаров и отзывы с Wildberries — без входа в аккаунт и без браузера.

Что ввести:

Поле	Что это
queries	Поисковые запросы, по одному на строку (например, кроссовки мужские).
products	Ссылки на товары или артикулы (например, 887103793) — можно вместе с поиском или отдельно.
maxProductsPerQuery	Сколько товаров собирать на каждый запрос (по умолчанию 50).
includeReviews	Собирать ли отзывы (по умолчанию да).
maxReviewsPerProduct	Ограничение отзывов на товар (по умолчанию 100).
reviewsAsSeparateItems	Выводить отзывы отдельными строками (удобно для Excel).
proxyConfiguration	Прокси. Если ловите ограничения — включите резидентные (RESIDENTIAL), лучше страна RU.

Пример: вводите запрос наушники беспроводные — получаете список товаров с ценами, рейтингом, продавцом и отзывами (текст, оценка, достоинства/недостатки, ответ продавца).

Оплата: только за результат — за собранный товар и за собранный отзыв. Без месячной подписки.

Совет: для больших выгрузок включайте резидентные прокси RU — Wildberries может ограничивать частые запросы с одного адреса.