Answers · E-commerce & quick commerce · 10 questions
Updated 25 Oct 2026 · Reviewed by Mohammad Shakir, Co-founder & CEO
Amazon is the most tracked marketplace in the world, and the questions repeat: how to follow prices that change many times a day, who really wins the Buy Box, and where the official APIs stop. These answers cover the data side of competing on Amazon, including amazon.in.
Pick the ASINs that compete with yours, record the selling price, MRP, discount and Buy Box seller at fixed times each day, and compare like with like - same variant, same pack size. A handful of products can be checked by hand; a catalog needs automated collection.
Amazon prices move many times a day, so a single daily check understates the movement. Track the final price a shopper sees, including the deal price during events, and keep history so you can see patterns rather than snapshots.
The Buy Box (now "Featured Offer") is the default seller whose price and delivery promise a shopper gets when they click Add to Cart. Most marketplace sales go through it, so who holds it, at what price, decides who gets the order.
For a brand, Buy Box data shows whether an authorized seller or a reseller is winning your listings, and at what price. Losing the Buy Box to a discounting reseller is usually the first visible sign of a channel problem.
Sellers run automated repricers that react to each other, Amazon itself adjusts prices on its retail offers, and deals and coupons switch on and off through the day. The result is that the same ASIN can show several prices in one day.
This is why point-in-time checks mislead. Track at consistent times, and record whether a deal or coupon was active alongside the base price.
Yes, by collecting prices on a schedule and storing them - history only exists from the day you start tracking. Public history tools cover popular ASINs but have gaps, lag and no guarantee for your specific catalog.
For pricing decisions, teams usually build their own history by tracking the ASINs they care about daily, with deal flags and the Buy Box seller stored per reading.
Track the live selling price of each product against your minimum advertised price, record which seller is offering it, and alert when a listing drops below the floor. Evidence needs the price, seller, timestamp and a capture of the offer.
Violations cluster around sale events and new resellers appearing. A dated log per seller turns an argument into a documented enforcement case.
Public review data: star rating, review count, review text, date and verified-purchase status, plus the rating breakdown. Tracked over time it shows product health, complaint themes and the impact of changes.
Review mining works best by theme: sizing, quality, delivery, authenticity. A spike of negative reviews on one theme is an early-warning signal worth alerting on.
Pick the keywords shoppers actually use, record where your products and competitors appear in results for each keyword on a schedule, and separate organic positions from sponsored placements.
Rank moves with price, stock, reviews and ad spend, so read it alongside those. Share of the first page for your keyword set is a more stable measure than any single rank.
Record availability per ASIN per check - in stock, low stock warnings, or unavailable - and alert on changes. For a brand, your own stock-outs lose rank and revenue; a competitor's stock-out is a window to win their demand.
Repeated stock-outs also feed back into search rank, so the cost is larger than the missed days of sales.
Amazon's Selling Partner API is built for operating your own listings and orders; it is not a general feed of competitor prices, ranks and reviews across the catalog. Some competitive data points exist but with limits and restrictions.
Teams that need market-wide Amazon data - competitor prices, Buy Box, search results, reviews - generally get it from collected public page data rather than the seller APIs.
The catalog, sellers, pricing norms and event calendar differ by marketplace - amazon.in has its own festive-sale cycle (such as the Great Indian Festival), MRP display rules and seller landscape. Track each marketplace you sell in separately.
Cross-market comparison needs currency and tax normalisation, and product matching across marketplaces, since the same product can carry different ASINs.
ScrapeGuys builds and operates production scraping APIs that return clean, structured JSON - and takes custom targets live in 48-72 hours.