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Compare Shopify competitors side by side

Ready-to-run example: put three rival stores in one dataset and compare catalogue depth, price band, theme and the apps each of them runs.

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Shopify Competitor Analysis - Size, Stack & Prices
Shopify Competitor Analysis - Size, Stack & Pricesvonsensey/shopify-competitor-analysis-scraper
Store
Domain
URL
myshopify domain
+32 fields
Text
Number
Boolean
List
Object

Input

Store URLs:https://www.allbirds.com+2
Include catalogue:true
Include theme and apps:true

Output fields

Store
Domain
URL
myshopify domain
Shop ID
Country
Region
City
Currency
Products
Collections
Size
Active
Days since last product
Last product
Oldest product
Email
All emails
Phone
Socials
Theme
Theme Store ID
Apps
Min price
Max price
Avg price
Vendors
Product types
Ships to
Shop Pay instalments
Cards
Description
Money format
Found via
Scraped
Row type

How it works

Sign up on Apify or log in

The Shopify Competitor Analysis - Size, Stack & Prices Actor is ready to run with the inputs already set for "Compare Shopify competitors side by side". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Compare Shopify competitors side by side" task

The Shopify Competitor Analysis - Size, Stack & Prices Actor will start running based on the input automatically. You can also change all the input fields, like store urls, include catalogue, and more, to match your specific use case.

Receive the "Compare Shopify competitors side by side" 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 store, domain, URL, 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 "Compare Shopify competitors side by side" task via API.

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Integrate "Compare Shopify competitors side by side" into your workflow

Connect "Compare Shopify competitors side by side" with 100+ integrations, or run it via API or MCP.

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