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Scan Shopify competitors — one row per store, no product cost

A fast competitor scan: one summary row per Shopify store with launch velocity, publish rate, median price in USD, discount share, brand model, catalog size and the apps and theme the storefront runs. Skips the per-product requests entirely.

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Shopify Scraper — Stores & Products
Shopify Scraper — Stores & Productsspool/shopify-store-products-scraper
Record type
Store
Store name
Country
+10 fields
Text
Number
Boolean
List
Object

Input

1. Shopify stores(required):gymshark.com+7
2. What to return:store
Detect apps and theme:true

Output fields

Record type
Store
Store name
Country
Currency
Per day
Velocity confidence
Publish per day
Price median usd
On sale share
Catalog size
App count
Theme
Signals

How it works

Sign up on Apify or log in

The Shopify Scraper — Stores & Products Actor is ready to run with the inputs already set for "Scan Shopify competitors — one row per store, no product cost". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Scan Shopify competitors — one row per store, no product cost" task

The Shopify Scraper — Stores & Products Actor will start running based on the input automatically. You can also change all the input fields, like 1. shopify stores, 2. what to return, and more, to match your specific use case.

Receive the "Scan Shopify competitors — one row per store, no product cost" 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 record type, store, store name, 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 "Scan Shopify competitors — one row per store, no product cost" task via API.

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Integrate "Scan Shopify competitors — one row per store, no product cost" into your workflow

Connect "Scan Shopify competitors — one row per store, no product cost" with 100+ integrations, or run it via API or MCP.

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