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Step 1: Build a Baseline for Shopify Price and Stock Monitoring

Run once to save a public price/availability baseline. The result includes priceDropPercent and alertSignal fields; first runs have no alert. Re-run the same store later or use the follow-up monitoring example. No messages or stock quantities are sent.

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Shopify Variant Stock & Price Change Feed
Shopify Variant Stock & Price Change Feedpractical_ai_lab_jp/pal-shopify-variant-stock-feed
Store
Product
Variant
SKU
+9 fields
Text
Number
Boolean
List
Object

Input

Shopify store URLs(required):https://www.allbirds.com
Max products per store:2
Track changes between runs:true
Output only changed variants:false
Minimum meaningful price drop (%):5
Output only price drops or restocks:false
Delay between requests (ms):1000

Output fields

Store
Product
Variant
SKU
Price
Compare-at
Availability
Change
Actionable signal
Price drop %
Previous price
Previous availability
Product page

How it works

Sign up on Apify or log in

The Shopify Variant Stock & Price Change Feed Actor is ready to run with the inputs already set for "Step 1: Build a Baseline for Shopify Price and Stock Monitoring". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Step 1: Build a Baseline for Shopify Price and Stock Monitoring" task

The Shopify Variant Stock & Price Change Feed Actor will start running based on the input automatically. You can also change all the input fields, like shopify store urls, max products per store, and more, to match your specific use case.

Receive the "Step 1: Build a Baseline for Shopify Price and Stock Monitoring" 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, product, variant, 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 "Step 1: Build a Baseline for Shopify Price and Stock Monitoring" task via API.

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