get_amazon_reviews

com.pangolinfo/amazon-mcp · Verify this server

[Amazon review batch scrape] Page-fetch real buyer reviews for an ASIN. Filterable by star / sort / media type. Use when: user says "look at X's negative reviews" / "mine pain points" / "analyse competitor reviews" / "do VOC" / "find user complaints for Listing copy"; or pre-launch critical-review scan; or finding improvement points for listing optimization. Don't use: when the few reviews already in the PDP would suffice (get_amazon_product carries 5-10 reviews + aiReviewsSummary — enough for a quick read); for keyword search (use search_amazon). Returns: data.json[0].data = { totalReviews (total review count; empty when unavailable), results[{ reviewId, date, country, star, title, content, author, authorId, authorLink, imgs[], videos, purchased, vineVoice, helpful, attributes }] } — ~10 reviews per page. Pair with: ↑ asin typically from search_amazon / get_amazon_product / list_bestsellers; ↓ review text can be fed directly to an LLM for pain-point clustering and keyword extraction. Cost: **10 points per page** (expensive). Start with pageCount=1 to confirm data, scale to 3-5 only when needed. Prefer filterByStar='critical' — highest signal density. Tips: filterByStar = all_stars / five_star ... one_star / positive / critical; sortBy = recent (default) | helpful; mediaType = all_contents (default) | media_reviews_only (with photos/videos, higher credibility).