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Ecommerce Store Scraper

Turn a list of shop domains into a structured merchant dataset. This example returns the platform each store runs on, an estimated revenue band, the product count, the country and the contact details on file. Agencies use it to size an opportunity before a proposal, and marketplaces use it to vet merchants at intake.

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Store Leads Scraper | Shopify Data
Store Leads Scraper | Shopify Datasilentflow/storeleads-scraper-ppe
Domain
Store Name
Platform
Country
+11 fields
Text
Number
Boolean
List
Object

Input

🌐 Store domains:fashionnova.com+1
🔢 Max stores:50

Output fields

Domain
Store Name
Platform
Country
Status
Monthly Visits
Est. Monthly Sales
Employees
Products
Avg. Price
Currency
Rank
Title
Language
Location

How it works

Sign up on Apify or log in

The Store Leads Scraper | Shopify Data Actor is ready to run with the inputs already set for "Ecommerce Store Scraper". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Ecommerce Store Scraper" task

The Store Leads Scraper | Shopify Data Actor will start running based on the input automatically. You can also change all the input fields, like 🌐 store domains and 🔢 max stores, to match your specific use case.

Receive the "Ecommerce Store Scraper" 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 domain, store name, platform, 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 "Ecommerce Store Scraper" task via API.

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Integrate "Ecommerce Store Scraper" into your workflow

Connect "Ecommerce Store Scraper" with 100+ integrations, or run it via API or MCP.

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