Wildberries Reviews Scraper: Ratings, Text & Photos

Extract every Wildberries customer review at scale. Get star ratings, full review text, pros and cons, size and fit feedback, buyer photos, and seller replies for any product on wildberries.ru. Built for sentiment analysis, product research, and brand monitoring.
Wildberries (Вайлдберриз) suite   •  Products, prices, ranks, reviews, and sellers from Wildberries
Price & Rank Tracker Daily price and rank monitoring	Product Search Search, catalog and live prices	Reviews Scraper ➤ You are here	Seller Scraper Supplier intel and shop stats

Extract every customer review from Wildberries.ru at scale: star ratings, full review text, pros and cons, size and fit feedback, reviewer photos, and seller replies. Feed it a product URL, NM-ID, or search keyword and get a clean, structured dataset in seconds. Built for sentiment analysis, product research, brand monitoring, and AI training data. No browser, no manual copying.

🔍 What does Wildberries Reviews Scraper do?

This Actor scrapes product reviews from Wildberries, Russia's largest online marketplace. Give it any combination of search keywords, product page URLs, or product NM-IDs, and it returns every review for those products: rating, written feedback, pros and cons, fit feedback, customer photos, helpfulness votes, and the seller's reply. It runs on the Apify platform with API access, scheduling, integrations (Make, Zapier, Google Sheets), proxy rotation, and run monitoring built in.

⚡ Every review, structured. No account or login required. Pull ratings, text, pros and cons, fit feedback, and buyer photos for any product, ready for sentiment analysis or AI training data.

💡 Why use Wildberries Reviews Scraper?

• Sentiment & product research - analyze what customers love and complain about across thousands of reviews.
• Brand & reputation monitoring - track ratings and feedback for your products or a competitor's.
• Retail & sourcing intel - read real buyer experiences before stocking a product.
• AI / NLP training data - collect labeled, rating-tagged review text at volume.
• Fit & sizing insight - the size feedback field is gold for apparel and footwear sellers.

🚀 How to use Wildberries Reviews Scraper

1. Open the Input tab.
2. Add search keywords (e.g. кроссовки), paste product URLs, or enter NM-IDs.
3. Optionally set filters: rating range, only-with-photos, only-with-text, or a date range.
4. Click Start. Download the results as JSON, CSV, Excel, or HTML, or pull them via the API.

⚙️ Input

Field	Description
searchQueries	Keywords to find products, then scrape their reviews
productUrls	Direct Wildberries product page URLs
nmIds	Specific product NM-IDs
minRating / maxRating	Keep only reviews within a star range (1-5)
onlyWithText	Skip rating-only reviews
onlyWithPhotos	Keep only reviews with customer photos
dateFrom / dateTo	Restrict to a date window (YYYY-MM-DD)
sortBy	newest, oldest, highest, lowest, or most helpful
maxProductsPerSearch	Cap products pulled per search keyword
maxReviewsPerProduct	Cap reviews per product (0 = all)
maxItems	Hard cap on total reviews (0 = unlimited)

📦 Output

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel. Each row is one review:

{
  "reviewId": "abc123",
  "nmId": "585408655",
  "imtId": "12345678",
  "productName": "Кроссовки беговые",
  "brand": "Nike",
  "rating": 5,
  "text": "Отличные кроссовки, очень удобные!",
  "pros": "Удобные, легкие",
  "cons": "Маломерят",
  "sizeFeedback": "runs small",
  "color": "черный",
  "size": "42",
  "authorName": "Анна",
  "createdDate": "2026-05-14T08:21:00Z",
  "votesUp": 12,
  "votesDown": 0,
  "sellerReply": "Спасибо за отзыв!",
  "photoUrls": ["https://feedback01.wbbasket.ru/.../fs.webp"],
  "productUrl": "https://www.wildberries.ru/catalog/585408655/detail.aspx"
}

📊 Output data fields

Field	Description
reviewId	Unique review identifier
nmId / imtId	Product NM-ID and root product ID
productName, brand	Product identity
rating	Star rating, 1-5
text, pros, cons	Written feedback
sizeFeedback	Fit: true to size / runs small / runs large
color, size	Variant the reviewer bought
authorName, authorCountry	Reviewer identity
createdDate	When the review was posted
votesUp, votesDown	Helpfulness votes
sellerReply, sellerReplyDate	Seller's response, if any
photoUrls	Customer photo URLs
bables	Auto-generated review tags
productUrl	Link to the product

💰 How much does it cost to scrape Wildberries reviews?

This Actor uses pay-per-result pricing at $3.99 per 1,000 reviews. A run pulling 5,000 reviews costs about $20. Use maxItems, maxReviewsPerProduct, and maxProductsPerSearch to control spend.

✨ Tips

• Use minRating: 1, maxRating: 2 to mine complaints and quality issues fast.
• Set onlyWithPhotos: true for visual reviews when researching real-world product condition.
• For broad keywords, keep maxProductsPerSearch low to avoid scraping reviews for hundreds of products.

❓ FAQ, disclaimers, and support

Is scraping Wildberries reviews legal? This Actor collects publicly available review data. You are responsible for complying with Wildberries' Terms of Service and applicable laws (including data-protection rules) in your use of the data. Do not use it to collect or process personal data unlawfully.

Why are some products missing reviews? Products with zero reviews return nothing. The Actor also tries a fallback API shard automatically.

Found a bug or need a field added? Open an issue on the Actor's Issues tab. Custom solutions are available on request.