Competitor price monitoring API for e-commerce

Competitor price monitoring software usually bundles two things: collecting prices, and a dashboard with matching, alerts and reports on top. The Roketfy Data Engine is the first half only. It is a data API that returns prices, seller lists and search results. It does not ship a dashboard, alert rules or automatic product matching.

That split suits teams that already have somewhere for the data to go: a data warehouse, a BI tool, a pricing engine, or an internal app. You keep full control over which products are tracked, how often, and what happens when a price changes, and you are not limited to the views a packaged tool offers.

If you want a finished product with no development work, a packaged tool is the better fit. If you want price data inside your own systems, an API is the shorter path.

The loop has four steps. Keep a list of the competitor products you care about, identified by the id each marketplace uses: an ASIN on Amazon, an item id on Walmart, a product URL or SKU on Trendyol and Hepsiburada. Call the matching endpoint for each on a schedule. Store every response with a timestamp. Compare the new price with the previous one and act on the difference.

The API covers the second step. Scheduling, storage and comparison run in your own stack, which can be as small as a cron job and a database table. Because each request is independent, you can check fast-moving products every hour and slow ones once a day, and spend credits where prices actually change.

On Amazon, `/v1/amazon/offers` is the main endpoint. For one ASIN it returns every seller with price, shipping, condition, fulfilment and which one holds the Buy Box, so a single call shows the whole competitive position on a listing. `/v1/amazon/product-detail` returns the product page itself, including its pricing, when you only need the headline price. Both cost 1 credit, and a `geocode` parameter selects the country marketplace.

On Walmart, `/v1/walmart/product-detail` returns a product by item id, priced against the store or ZIP code you name. That matters because Walmart prices can differ by location. `/v1/walmart/search` returns search results for a query with the same store or ZIP pricing, which is useful for finding competing items before you track them. Each Walmart call costs 10 credits.

Marketplaces show you the sellers on one platform. `/v1/google/shopping` looks across retailers: it returns Google Shopping results for a query, up to 40 products a page, with prices. It costs 10 credits per call.

This is the endpoint to use when your competitors sell through their own web stores rather than on a marketplace, or when you want a quick read of the price range for a product type before deciding what to track in detail. Search by product name or model number and store the retailers and prices that come back.

Yes. Trendyol and Hepsiburada are two of the largest marketplaces in Turkey, and both have a product detail endpoint. `/v1/trendyol/product-detail` returns the buybox winner and every other seller on the listing with their prices and stock. `/v1/hepsiburada/product-detail` returns every seller on the listing with their prices and buybox position. Each costs 1 credit for a standard product URL or SKU.

Akakçe is a Turkish price comparison site that lists the same product across many stores. `/v1/akakce/offers` returns every seller Akakçe lists for a product, with price, shipping cost, stock and delivery estimate, sortable by price or by price with shipping.

`/v1/akakce/price-history` is the one endpoint here that gives you the past as well as the present. It returns one row for each day the product's cheapest price changed, with the date, the new price and the size and direction of the move, newest first. You can see how a price has moved before you have collected a single snapshot of your own.

Cost is the number of products multiplied by how often you check them, multiplied by the credit cost of the endpoint. Amazon, Trendyol, Hepsiburada and Akakçe product-level calls cost 1 credit each. Walmart and Google Shopping calls cost 10. Tracking 500 Amazon ASINs once a day is 500 credits a day.

Failed requests are not charged, so a delisted product or a temporary upstream error does not eat into your balance. Credits are bought as pay-as-you-go packages, which means you can grow or shrink the tracked list without changing a plan.

Every endpoint uses the same Bearer token and is also available as an MCP tool, so an AI agent can answer a question like "who is cheapest on this listing right now" with a live call. Parameters for each endpoint are in the docs at data.roketfy.com/docs.