Ecommerce Data API Blog
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Hands-on API workflows and AI agent recipes for ecommerce sellers.
What to Stock for Q4 on Amazon: Reading 12 Weeks of Holiday Search Demand
Holiday demand shows up in Amazon search ranks weeks before it shows up in sales. Read 12-week rank growth to tell demand that is still building from demand that has already peaked, then line it up against when stock has to arrive.
Amazon Search Trends: How to Tell a Real Rise From a One-Week Spike
A search term that jumps one week is a question, not an answer. Read its 1-, 4- and 12-week rank growth together, know why the growth rate tops out near 100%, and separate brand terms from product terms before you stock anything.
Best Products to Sell on Amazon for Beginners: Seven Filters for a First Product
A first product is not the most profitable product you can find; it is the one where a mistake is cheap. Seven filters — price, reviews, size, approvals, seasonality, brands and returns — and a data request that applies most of them at once.
Chinese Sellers on Amazon: What the Top 100 New Products Show (October 2026)
Sellers based in mainland China and Hong Kong hold 28 of the 100 best-selling new US listings and about 30% of their units. They win at lower prices, with fewer reviews and mostly in clothing, and are nearly absent from beauty, health and grocery.
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.
Amazon APIs Explained: What the Seller, Ads, Affiliate and Third-Party Data APIs Each Return
"Amazon API" is four different things built for four different users. This post lists what the Selling Partner API, the Amazon Ads API, the affiliate API and third-party data APIs each return, who can use them, and which one answers which question.
Amazon ASIN Lookup: By ASIN, UPC or SKU
Amazon ASIN lookup by ASIN, UPC or SKU: an ASIN goes straight to product data, a UPC takes one more step, a rival's SKU can't be found. Bulk requests too.
Amazon Backend Search Terms: What Goes in the Field and How to Fill It From Reverse Lookup Data
The backend search terms field is short, counted in bytes, and ignored entirely when it runs over. This post covers the rules Amazon publishes for it, why nobody can read a competitor's backend field, and a six-step way to fill yours from the terms competitors already rank for.
How to Check Amazon Keyword Search Volume: Four Sources and What Each Number Means
Amazon does not publish a search volume figure for every keyword. Four sources give you something close: two Brand Analytics reports, Product Opportunity Explorer and third-party estimates. This post shows what each one returns, who can use it and how to pull the number through an API.
Where an Amazon Listing's Visibility Comes From: Search, Ads and Related-Product Placements
A product is seen in two places: on search results pages and on other products' detail pages. Two API calls count both for any ASIN. In our test, one product appeared for 1,237 keywords organically and 190 through ads, and sat on 1,264 related-product placements, 21 of them paid.
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.
Parent and Child ASINs: Which Numbers Are Pooled Across Variations and Which Are Not
A parent ASIN is a shell that groups variations; a child ASIN is the thing a shopper buys. Reviews, sales estimates, price and BSR mean different things at the two levels. This post shows which is which, how to tell the levels apart in API data, and how to keep comparisons on one level.
Choosing a Price Point on Amazon: Read the Category's Price Bands Before You Set a Price
In one category we tested, 36 of the top 100 products sat between $15 and $20 and took 42% of unit sales, while the four products at $20 to $25 each sold more than any other band. This post shows how to read a price distribution into three numbers per band and what they say about where to price.
Amazon Price History by API: Price, List Price, Buy Box and BSR on One Timeline
One request returned 30 days of history for a product: a price that went from $49.99 to $39.99 and back, a list price raised ten days before the cut, and a Best Sellers Rank that improved by about a third. This post shows the request, the series it returns and how to read them together.
Searching Amazon Products by API: Match Types, Sort Order, and Why It Is Not the Search Results Page
One keyword returned 265,533 products on broad match, 1,880 on phrase and 750 on exact. This post shows what each match type does with a real test, how results are ordered, and when you need search positions instead of a product search.
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.
Amazon's Official Selling Partner MCP: What It Covers and What It Does Not
Amazon now publishes an official MCP connector and twelve seller Skills. This post lists what they can read and change in your own account, how writes are gated, and which questions still need market data from somewhere else.
An E-commerce Data API for AI Agents: Six Things an Agent Needs That a Human Developer Does Not
A developer reads the documentation once and writes code. An agent decides what to call on every run, from whatever the tool list tells it. This post covers six things a data API has to provide for that to work, with examples from a live MCP server, and one default that trips agents up.
Is There a Google Trends API? The Official Alpha, the Alternatives and What Each Returns
Google announced an official Trends API in July 2025. As of October 2026 it is still an alpha you apply for, with no self-serve key and no published price. This post covers what the official API returns, what the other routes are, and how Amazon sellers use Trends data as a cross-check.
Trademark Classes for Amazon Sellers: How Nice Classes Change What a Search Result Means
A trademark protects a name for particular goods and services, grouped into 45 classes. The same name can be registered hundreds of times across classes. This post shows which classes sellers meet most, how to read a name's class distribution from one API call, and three mistakes to avoid.
Trademark Search API: Office Codes, Filters and How to Read a Record
A developer's reference to searching trademark records across offices by API: the four endpoints, how office codes work, which filters narrow a search, what each field in a record means, and why filtering on registered marks alone hides a real part of the picture.
How Much Does an Amazon Data API Cost? Calls, Pack Size and Where Calls Get Wasted
The price on a call pack is only the start. Turn a workflow into a call count, pick the pack by what you will use in 60 days, and see where calls are wasted before you buy. Prices are from the pricing page as of 14 October 2026.
Amazon Brand Analytics Search Terms: How to Read Rank, Click Share and Entry Cost
ABA gives a search frequency rank, not a volume. One row tells you three things: which way the rank is moving (a negative change means worse), how much of the clicks the top three ASINs hold, and what reaching page one costs.
Building an Amazon Niche Finder: What Each Filter Decides and What It Hides
A niche finder is a set of filters over category statistics. This post shows which filters answer which question, how to read one result row without being fooled by head-sample averages, and why the filters you choose matter more than the tool you use.
Choosing an Amazon Data Analysis Tool: Test It With Data You Already Know
Every tool looks accurate in a demo. What separates them is comparing their estimates against ASINs whose real sales you hold in Seller Central — reading direction, magnitude and ranking — and then asking a few questions about definitions.
Which Amazon Data You Can Get for Free, and Which You Cannot
Free Amazon data is real, and most of it is accurate. Its boundary is clear: what is free is mostly 'now' and 'yours', and what costs money is almost always 'the past' and 'someone else's'. This post lists it by source and explains why this site offers only a short trial and no free tier.
Seasonal Product Research on Amazon: Measure Concentration Before You Pick a Month
The risk in a seasonal product is not the peak, it is the inventory still sitting there in the off-season. Use multi-year monthly search, per-ASIN monthly sales and launch-year cohorts to decide whether to enter and which month to decide in.
Getting an Amazon Keyword onto Page One: How the Clicks Split Decides Whether It Pays
A keyword on page one that still does not convert is usually not a position problem: its clicks and conversions concentrate in the top three. This post uses top-three click share and top-three conversion share to decide whether a keyword's first page is worth chasing.
Choosing an Amazon Keyword Tool: First Work Out Which "Search Volume" It Shows
"Which keyword tool is most accurate" usually compares two different quantities. A single reverse lookup response holds four fields that look like search volume, each with its own period and scope. This post splits the keyword toolkit by task and lists the three questions to ask when evaluating one.
Product Research on Amazon US, Japan and Europe: The Same Analysis Does Not Transfer As-Is
Product research methods carry across marketplaces; the numbers do not. Every request needs a marketplace (four common endpoints silently default to the US), amounts come in each marketplace's currency, keywords are stored in its language and category paths are defined per marketplace. This post sets out what to redo and what to reuse.