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Scrape products and prices of a Shopify coffee brand

Export the full product catalogue of Death Wish Coffee with prices, variants, stock and images, plus a free analytics record with price distribution and discount depth. Replace with any Shopify store to monitor competitors.

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Shopify Store Scraper with Catalogue Analytics
Shopify Store Scraper with Catalogue Analyticsanatolia-data/shopify-store-scraper
Product
Price
Price (max)
Compare at
+21 fields
Text
Number
Boolean
List
Object

Input

Shopify stores:deathwishcoffee.com
Max products per store:200
Discounted products only:false

Output fields

Product
Price
Price (max)
Compare at
Discount %
Currency
In stock
Stock %
Variants
Variants in stock
Type
Vendor
Tags
SKU
Published
Created
Updated
Images
Image
URL
Product ID
Handle
Store
Store name
Record type

How it works

Sign up on Apify or log in

The Shopify Store Scraper with Catalogue Analytics Actor is ready to run with the inputs already set for "Scrape products and prices of a Shopify coffee brand". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Scrape products and prices of a Shopify coffee brand" task

The Shopify Store Scraper with Catalogue Analytics Actor will start running based on the input automatically. You can also change all the input fields, like shopify stores, max products per store, and more, to match your specific use case.

Receive the "Scrape products and prices of a Shopify coffee brand" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as product, price, price (max), and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Scrape products and prices of a Shopify coffee brand" task via API.

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Integrate "Scrape products and prices of a Shopify coffee brand" into your workflow

Connect "Scrape products and prices of a Shopify coffee brand" with 100+ integrations, or run it via API or MCP.

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