E-commerce Product Data Aggregator

E-commerce Product Data Aggregator pulls structured data from Open Food Facts, Open Prices & CheapShark and returns it as a clean dataset you can export as JSON, CSV or Excel. It pulls product records and real store prices from three free commerce APIs and normalises them into a single dataset with product name, brand, category, price, currency, store, barcode and image - useful for price monitoring and catalogue work.

No API key, no login. Click Start and it works with the prefilled input.

What does E-commerce Product Data Aggregator do?

It queries Open Food Facts, Open Prices & CheapShark and returns one row per record, with only the fields that matter. Runs on the Apify platform, so you get an API endpoint, scheduling, monitoring and integrations (Zapier, Make, Google Sheets, webhooks) without maintaining any infrastructure.

Why use it?

• Open Food Facts, Open Prices & CheapShark data without the plumbing: no proxy setup, no pagination code, no scraping maintenance.
• Schedule it to monitor changes daily or weekly and trigger alerts on new records.
• Feed it straight into a spreadsheet, database, or an AI agent via the Apify API or MCP server.
• Runs in seconds and returns a typed dataset that is ready for analysis.

How to use it

1. Click Try for free / Start.
2. Leave the default input to see a sample run, or type your own values (see Input below).
3. Press Start and wait a few seconds.
4. Open the Output tab and download as JSON, CSV, Excel or HTML.

Input

Field	Type	Default	Description
category	string	"en:coffee"	Open Food Facts category tag for the catalogue search, e.g. en:coffee.
query	string	"witcher"	Title searched in the CheapShark game store price API.
source	string	"all"	Which commerce APIs to aggregate. 'all' interleaves every source. One of: 'all', 'openfoodfacts', 'openprices', 'cheapshark'.
maxResults	integer	20	Maximum number of normalised products to return.

Example input:

{
  "category": "en:coffee",
  "query": "witcher",
  "source": "all",
  "maxResults": 5
}

Output

One item per record. Sample:

{
  "source": "openprices",
  "product_name": "Yuriko Sushi",
  "brand": "REWE to go",
  "category": "seafood, meals",
  "price": 7.99,
  "currency": "EUR"
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Data fields

Field	Type	Meaning
source	string	Source
product_name	string	Product
brand	string	Brand
category	string	Category
price	number	Price
currency	string	Currency
store	string	Store
product_id	string	Product ID / Barcode
image_url	string	Image
product_url	string	Product URL
country	string	Country
extra	string	Extra

How much does it cost to run?

This Actor uses pay-per-event pricing: you pay per result item pushed to the dataset, and nothing for an empty run. Each run is a few seconds of compute, so typical costs are fractions of a cent per run, and the Apify free tier covers plenty of testing.

Tips and advanced options

• Raise maxResults for a bigger pull; the Actor pages through the source for you.
• Schedule it (e.g. every morning) and combine with a webhook to get only the new records.
• Add the Actor to an AI agent through the Apify MCP server for natural-language queries.

FAQ, disclaimers and support

• Is this legal? It uses publicly available data from Open Food Facts, Open Prices & CheapShark. You are responsible for how you use the data and for complying with the source's terms.
• It returned nothing? Use an Open Food Facts category tag such as en:coffee, en:cheeses or en:beers, and a game title for the store price search.
• Something broken? Open an issue on the Actor's Issues tab. Data sources change and get fixed quickly.
• Need a custom variant (extra fields, a different source, a scheduled report)? Get in touch through the Issues tab.