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Most Helpful Reviews for Product Research

Surface the most helpful Wildberries reviews, ranked by customer upvotes, before you buy or restock. This example searches bag listings and sorts reviews by helpfulness across the full rating range, showing what buyers voted most trustworthy, not just the highest stars. Useful for shoppers cutting through noise, or sellers studying which review points customers found most credible.

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Wildberries Reviews Scraper: Парсер Отзывов, Рейтингов и Фото
Wildberries Reviews Scraper: Парсер Отзывов, Рейтингов и Фотоgetascraper/wildberries-reviews-scraper
Reviewer
Rating
Review
Date
+2 fields
Text
Number
Boolean
List
Object

Input

Search queries:сумка
Sort reviews by:helpful
Only reviews with text:true
Max products per search query:5
Maximum total reviews:25

Output fields

Reviewer
Rating
Review
Date
Product
Product Link

How it works

Sign up on Apify or log in

The Wildberries Reviews Scraper: Парсер Отзывов, Рейтингов и Фото Actor is ready to run with the inputs already set for "Most Helpful Reviews for Product Research". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Most Helpful Reviews for Product Research" task

The Wildberries Reviews Scraper: Парсер Отзывов, Рейтингов и Фото Actor will start running based on the input automatically. You can also change all the input fields, like search queries, sort reviews by, and more, to match your specific use case.

Receive the "Most Helpful Reviews for Product Research" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as reviewer, rating, review, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Most Helpful Reviews for Product Research" task via API.

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