Amazon review analysis: sources, export and reading the negatives
Amazon review analysis: sources, export and reading the negatives
The four sources of a review, how to get review text by API, exporting reviews into a sheet, and splitting negative reviews by variation and theme.
Amazon Review Scraper vs a Reviews API
Four ways to scrape Amazon reviews, from a browser extension to your own Python scraper, a scraping API and a reviews data API, and which one fits which job.
Reading Negative Amazon Reviews by Variation: Which Complaints Belong to Which Product
A variation family pools its reviews, so the complaints on one page can belong to several different products. In a sample of 20 recent critical reviews we pulled, 3 were about a spare part sold as a variation, and the one-star and three-star reviews described two different problems. This post shows how to split them.
Getting Amazon Reviews Through an API: What the Official APIs Return and What They Leave Out
None of Amazon's own APIs returns the review text of an arbitrary product. This post goes through what the seller, affiliate and advertising APIs do return about reviews, where the gap is, and what a request for review text by ASIN looks like.
How to analyse Amazon reviews: from a pile of them to three kinds of actionable conclusion
The output of review analysis should not be a summary. It should be three separated conclusions — fix the product, fix the listing, fix nothing — because blending them turns a description problem into an expensive product change.
Exporting Amazon reviews into a spreadsheet: 21 columns and a template to download
The problem with copy-pasting reviews into Excel is not that it is slow — it is that it drops the fields you need to judge them. A downloadable review analysis sheet, the endpoint field behind every column, and the three traps in exporting.
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.