To use this API you must indicate the ASIN number of an Amazon product to obtain reviews.

The Amazon Review Analytics API is a tool that allows users to access and integrate Amazon product review data into their apps and websites.

Zyla provides a wide range of integration methods for almost all programming languages. You can use these codes to integrate with your project as you need.

There are different plans suits everyone including a free trial for small amount of requests, but it’s rate is limit to prevent abuse of the service.

The API makes it easy for users to make informed decisions by providing comprehensive product evaluation capabilities. It allows users to access detailed information on product reviews, ratings and more, essential for market research, competitive analysis and strategic planning.

The GET Reviews endpoint returns a JSON object containing product review data, including total reviews, star ratings distribution, and individual review details such as reviewer name, review date, rating, title, and content.

Key fields in the response include "total_reviews," "stars_stat" (rating distribution), and "result," which contains an array of individual reviews with fields like "id," "asin," "review_data," "date," "name," "rating," "title," and "review."

The response data is structured as a JSON object. It includes a summary section with total reviews and star ratings, followed by a "result" array that lists detailed information for each review, making it easy to parse and analyze.

The GET Reviews endpoint provides information on customer reviews, including overall ratings, individual review content, reviewer details, and the date of the review, allowing for comprehensive analysis of product feedback.

Users can customize their requests by specifying the ASIN number of the product they want to retrieve reviews for. This allows for targeted data retrieval based on specific products.

The data is sourced directly from Amazon's product review database, ensuring that users receive authentic and up-to-date customer feedback on products available on the platform.

Data accuracy is maintained through regular updates from Amazon's review system, ensuring that the information retrieved reflects the most current customer feedback and ratings.

Typical use cases include generating product recommendations, conducting sentiment analysis, performing competitor analysis, aggregating reviews for summary reports, and integrating authentic customer feedback into e-commerce platforms.

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