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Google Product Price Scraper
2 Step Google fast, dirty and low computation scraper that takes a single input then, simply returns a list of prices to use for multiple uses, intended purpose was to create a median price for the returned price list. Step 1 checks normal google results, Step 2 checks google shopping.
Google Product Price Scraper is an Apify actor for extracting data from Google Shopping web site. It scrapes the first result page on google to check if there is a product highlight for specific popular products then defaults to shopping if it is not then returns each product price stripping all the garbage and throwing out any messy prices with discounts or fees. It is build on top of Apify SDK and you can run it both on Apify platform and locally in docker.
Input
Field | Type | Description |
---|---|---|
queries | Array of Strings | (required) List of queries to search |
INPUT Example:
1{ 2 "queries": [ 3 "iphone 11 pro" 4 ], 5}
Output
Output is stored in a dataset. Example of one output item:
1{ 2 "price": "$1,979.10", 3}
Expected CU consumption
Expected compute units is 0.003 cents per product.
Open an issue
If you find any bug, please create an issue on the actor Github page.