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Track StockX resale prices for a sneaker model

Searches StockX for a sneaker model and returns each product with its live market: lowest ask, highest bid, last sale, 72-hour and 90-day sales volume and average price, plus retail price, style ID, colourway, release date and product URL. Change the keyword to follow any model, and run it on a schedule to see how resale prices move before you buy or list.

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StockX Scraper API - Lowest Ask, Highest Bid & Last Sale
StockX Scraper API - Lowest Ask, Highest Bid & Last Salescrapifier/stockx-scraper
Image
Product
Brand
Style ID
+4 fields
Text
Number
Boolean
List
Object

Input

Search keywords:jordan 1
Sort order:most-active
Currency:USD
Country / market:US
Include full product details:true
Max products (total):100

Output fields

Image
Product
Brand
Style ID
Market
Retail
URL
Search

How it works

Sign up on Apify or log in

The StockX Scraper API - Lowest Ask, Highest Bid & Last Sale Actor is ready to run with the inputs already set for "Track StockX resale prices for a sneaker model". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Track StockX resale prices for a sneaker model" task

The StockX Scraper API - Lowest Ask, Highest Bid & Last Sale Actor will start running based on the input automatically. You can also change all the input fields, like search keywords, sort order, and more, to match your specific use case.

Receive the "Track StockX resale prices for a sneaker model" 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 image, product, brand, 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 "Track StockX resale prices for a sneaker model" task via API.

Image

Integrate "Track StockX resale prices for a sneaker model" into your workflow

Connect "Track StockX resale prices for a sneaker model" with 100+ integrations, or run it via API or MCP.

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