review-collect

What problem does it solve?

Cross-border sellers managing stores on Amazon and Noon need to aggregate full customer review and rating data across their entire product catalog to analyze sentiment, track performance, and inform listing updates. Manually checking each product page is extremely time-consuming, error-prone, and impossible to scale for stores with hundreds of products, especially when needing to capture low-star reviews and full historical data.

Core Features & Use Cases

• Full Review History Collection: Gathers every customer review (sorted newest-first) for every product in a store's Amazon and Noon catalog, including low-star reviews filtered via platform-specific query parameters, with idempotent deduplication across runs.
• Standardized Versioned Output: Exports data as per-product JSON files conforming to the reviews/v1 contract, plus a manifest index for completeness tracking, ready for downstream analysis or integration with other tools.
• Read-Only Safe Operation: Never posts, edits, or deletes any content on Amazon or Noon, eliminating risk of accidental changes to live store listings or customer interactions.
• Use Case: A seller running 3 Amazon country stores and 2 Noon country stores can use this skill to collect all reviews for 200+ products in a single automated run, instead of spending days manually navigating each product page.

Quick Start

Use the review-collect skill to gather all customer reviews and ratings for every product in your Amazon and Noon store catalogs and save them as structured JSON files for analysis.