About this skill

What problem it solves

Engineers analyzing Amazon market data often need product details, keyword results, category/seller/review signals, and multi-region pricing at the same time. These endpoints return different structures, and manual parsing can miss fields or make comparison harder. Pangolinfo Amazon Scraper wraps those workflows as CLI tasks backed by Pangolinfo APIs and returns parsed JSON, which makes it easier to fit into an analytics pipeline.

How it works

Input detection: B0 10-character ASINs route to product detail; non-ASIN text routes to keyword search; amz_us is the default region.
Coverage: products, keywords, categories, sellers, bestsellers, new releases, other sellers, variants, and reviews.
Review handling: star filters, recent / helpful sorting, and multi-page fetches; extra pages consume more credits.
Output convention: success JSON goes to stdout, error JSON goes to stderr; exit codes distinguish API, usage, network, and auth failures.

Boundaries and notes

Use it for Amazon data only, not Google, SERP, or non-Amazon sources.
Requires a Pangolin account and API credentials; some operations are credit-based, and review pages cost 5 credits each.
Multi-region comparisons usually require separate requests followed by result merging; for empty results, check ASIN, region, or search term.

Screenshots

Use Cases

When selecting US and Japan products, fetch ASIN pricing, ratings, and rank to compare differences
When evaluating a category, review bestsellers and new releases, then mine product reviews for complaint patterns
When validating keyword search results, compile titles, prices, and ratings from top listings into a candidate list
When tracking competitor variants and other seller options, compare seller pricing and availability

Best For

E-commerce analysts doing Amazon product selection who need ASIN details, reviews, and multi-region pricing
Operations leads writing market reports who need category rankings and review signals
Backend engineers building data pipelines who need stable API calls and parsed JSON output
Brand managers doing competitor monitoring who need seller, variant, and price changes