Amazon data workflows: step-by-step guides with API calls
Amazon data workflows: step-by-step guides with API calls
Guides that take one seller task, such as product research, review analysis, price monitoring or building a keyword library, from the first request to a decision, with runnable examples.
Amazon Review Types Explained: Verified Purchase, Vine, Free Product and Early Experience
What each review label means, how to tell them apart in API data (verified, vine, free, experience), and why a star average computed before separating them has no commercial meaning.
What Amazon sales data can and cannot tell you: the API labels its own estimates
The marketplace never publishes unit sales, so every monthly figure is derived from BSR. This breaks down the fields across three sales endpoints — which are facts, which are derived, and the parent-versus-child comparison that quietly inflates results.
Four hidden costs of building your own Amazon scraper
Getting a scraper running is a day-one problem. This breaks down the four recurring costs that start after: anti-bot upkeep, defining your own field semantics, compliance exposure, and what happens when the person who wrote it leaves.
Bulk Product Research: Narrowing to a Shortlist With Three Endpoints
Market Research to pick the category, Product Research to filter products, BSR Sales Estimate to rank them — three endpoints chained into a scheduled research job, with runnable requests.
Building Your Own Keyword Library: ABA, Reverse Lookup, and Expansion
Three kinds of keyword data answer three different questions. Here is what each one actually measures, how to merge them into a maintainable library, and the mistakes that merge invites.
Competitor Price and Coupon Monitoring: A Once-a-Day Job
Three endpoints make a daily monitoring flow — current snapshot, coupon cadence, historical curve. With runnable requests, a scheduling plan, and how to set alert thresholds.
Checking Trademarks Before You List: Four Uses of the Global Trademark API
Check coverage, search for conflicting registrations, read status and classes, then look at cross-office distribution. Four endpoints make a pre-launch screen — and here is why it is not a substitute for professional advice.