Wildberries Reviews Scraper: Парсер Отзывов, Рейтингов и Фото avatar

Wildberries Reviews Scraper: Парсер Отзывов, Рейтингов и Фото

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from $1.94 / 1,000 reviews

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Wildberries Reviews Scraper: Парсер Отзывов, Рейтингов и Фото

Wildberries Reviews Scraper: Парсер Отзывов, Рейтингов и Фото

Scrape every customer review from Wildberries.ru (Вайлдберриз): star ratings, review text, pros and cons, size and fit feedback, reviewer photos, and seller replies. Search by keyword, product URL, or NM-ID, then filter by rating, text, photos, or date. No browser or login needed.

Pricing

from $1.94 / 1,000 reviews

Rating

5.0

(2)

Developer

GetAScraper

GetAScraper

Maintained by Community

Actor stats

0

Bookmarked

32

Total users

11

Monthly active users

17 days ago

Last modified

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📝 Wildberries Reviews Scraper: Парсер Отзывов, Рейтингов и Фото

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 data suite   •  Product search, pricing, niche analytics, resale, reviews, and seller data
 Reviews Scraper
➤ You are here
 Product Search
Products, prices, and full catalogs
 Seller Scraper
Supplier intel and shop stats
 Niche Analyzer
Competition, price and demand
Turn thousands of scattered Wildberries reviews into structured data
Feed it a product URL, NM-ID, or search keyword and get star ratings, full review text, pros and cons, fit feedback, buyer photos, and seller replies back in seconds. No browser, no manual copying.
⭐ Full review text
Rating, written feedback, pros, and cons on every row
📏 Fit and sizing
Size feedback flags runs-small or runs-large for apparel
📷 Buyer photos
Customer photo URLs attached to the reviews that include them
💬 Seller replies
The seller's response text and date, when one was posted

Extract every customer review from Wildberries.ru (Вайлдберриз) 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?

Search by keyword instead of collecting review-page URLs one product at a time. Filter by star rating, text-only, photo-only reviews, or a date range before the data ever reaches you, so every row is one you actually need.

  • 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

STEP 1
Add products
Add search keywords, paste product URLs, or enter NM-IDs.
STEP 2
Set filters
Optionally filter by rating range, only-with-photos, only-with-text, or a date range.
STEP 3
Start and export
Download as JSON, CSV, Excel, or HTML, or pull results via the API.

⚙️ Input

FieldTypeRequiredDescription
searchQueriesarray of stringsNoKeywords to find products, then scrape their reviews
productUrlsarray of URLsNoDirect Wildberries product page URLs
nmIdsarray of stringsNoSpecific product NM-IDs
minRating / maxRatingintegerNoKeep only reviews within a star range (1-5)
onlyWithTextbooleanNoSkip rating-only reviews
onlyWithPhotosbooleanNoKeep only reviews with customer photos
dateFrom / dateTostringNoRestrict to a date window (YYYY-MM-DD)
sortByenumNonewest, oldest, highest, lowest, or most helpful
maxProductsPerSearchintegerNoCap products pulled per search keyword
maxReviewsPerProductintegerNoCap reviews per product (0 = all)
maxItemsintegerNoHard cap on total reviews (0 = unlimited)

At least one of searchQueries, productUrls, or nmIds must be set.

📦 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

FieldTypeDescription
reviewIdstringUnique review identifier
nmId / imtIdstringProduct NM-ID and root product ID
productName, brandstringProduct identity
ratingnumberStar rating, 1-5
text, pros, consstringWritten feedback
sizeFeedbackstringFit: true to size / runs small / runs large
color, sizestringVariant the reviewer bought
authorName, authorCountrystringReviewer identity
createdDatestringWhen the review was posted
votesUp, votesDownnumberHelpfulness votes
sellerReply, sellerReplyDatestringSeller's response, if any
photoUrlsarrayCustomer photo URLs
bablesarrayAuto-generated review tags
productUrlstringLink to the product

💰 How much does it cost to scrape Wildberries reviews?

This Actor uses pay-per-result pricing. You pay only for the reviews it actually returns, with no subscription and no cost for empty runs. Use maxItems, maxReviewsPerProduct, and maxProductsPerSearch to control spend.

⭐ Enjoying Wildberries Reviews Scraper?

⭐ ⭐ ⭐ ⭐ ⭐
Turning thousands of scattered Wildberries reviews into one clean, structured dataset in seconds?
A 5-star rating takes 10 seconds and helps other sellers, researchers, and brand teams find it. Your feedback also tells us what to build next.
★  Rate this Actor on Apify

✨ 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.

Как собрать отзывы Вайлдберриз автоматически? Enter a product URL, NM-ID, or search keyword into this Actor's input and run it. It returns every matching review as structured data, no manual copying or account required.

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