Tutorials, industry analysis, and best practices for ecommerce data extraction, API integration, and competitive intelligence.
Send a UPC or EAN barcode to the converter endpoint and get back the ASIN, the product's other barcodes and its title. How to normalise and check barcodes before you pay for a lookup, go the other way from ASIN to EAN, and why one barcode can hide several listings.
Which SellerMagnet API errors cost a credit, which ones are worth retrying, and how to honour Retry-After with exponential backoff in Python and Node.js - built from the status codes the API actually returns.
Get every gallery image of an Amazon product in its highest resolution with one lookup request, download them with Python, resize them through the image URL itself, and fetch product videos. Plus a quick media audit for your own listings and what you may do with the images.
Looking up thousands of ASINs is mostly a question of not paying twice: normalise and deduplicate the input, skip what you already have, run a bounded worker pool, and never re-request a product that does not exist. A resumable Python pipeline that does all four.
Get an ASIN's Best Sellers Rank history as JSON: the root-category series with timestamps, the per-category series, the current rank and the category path. How to read gaps and -1 entries, turn the series into a daily table and a 30-day trend, and pair it with monthly sales.
One request returns an estimate of monthly units for any ASIN, anchored on Amazon's own 'bought in past month' figure where it exists and on sales rank, reviews and listing age where it does not. What the number means, how to check it against recorded sales, and how to rank a category by it.
One product lookup returns the whole variation family of a listing: each sibling ASIN with its colour, size, style or bundle attributes. How to read the list, turn it into an attribute matrix, price every variant, and what a product without variations looks like.
Get an ASIN's recorded Buy Box, Amazon, FBA and FBM price history as JSON with one request. Which series is a landed price and which is an item price, why the values are integers, how to turn the series into a daily table with 30- and 90-day lows, and how to get ready-made PNG charts.
Track where your ASINs rank for the keywords that matter: one search request per keyword and marketplace returns page-one positions with a sponsored flag. How to derive the organic rank, store a daily history in SQLite, localise results by ZIP code and budget the credits.
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