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Shopify Store Scraper — Products & Contacts — Scheduled

Run Shopify Store Scraper — Products & Contacts for repeatable scheduled monitoring. Export structured results for research, reporting, integrations, and

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Shopify Store Scraper — Products & Contacts
Shopify Store Scraper — Products & Contactsmuhammadafzal/shopify-store-scraper
Record Type
Store URL
Title
Current Price
+3 fields
Text
Number
Boolean
List
Object

Input

Mode:discovery
Shopify Store URLs
Store URL(required):https://www.allbirds.com
Discovery Category:fashion/jewellery
Max Stores to Discover:8
Max Discovery Pages:8
Max Products per Store:8
Include Review Summaries & Sales Estimates:false
Max Reviews per Product (individual):8

Output fields

Record Type
Store URL
Title
Current Price
Rating
Review Count
Scraped At

How it works

Sign up on Apify or log in

The Shopify Store Scraper — Products & Contacts Actor is ready to run with the inputs already set for "Shopify Store Scraper — Products & Contacts — Scheduled". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Shopify Store Scraper — Products & Contacts — Scheduled" task

The Shopify Store Scraper — Products & Contacts Actor will start running based on the input automatically. You can also change all the input fields, like mode, shopify store urls, and more, to match your specific use case.

Receive the "Shopify Store Scraper — Products & Contacts — Scheduled" 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 url, title, 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 "Shopify Store Scraper — Products & Contacts — Scheduled" task via API.

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Integrate "Shopify Store Scraper — Products & Contacts — Scheduled" into your workflow

Connect "Shopify Store Scraper — Products & Contacts — Scheduled" with 100+ integrations, or run it via API or MCP.

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