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Shopify Products Scraper icon

Profile a DTC Shopify Brand's Catalog & Pricing

Catalog size, price tiers, category mix and vendors for any DTC Shopify brand. Competitive and due-diligence intel from a single full catalog pull.

Run this use case nowRun on Apify →

How it works

  1. 1
    Open it on Apify

    Hit Run on Apify — it opens the tool in the cloud, no install.

  2. 2
    Set the inputs

    Adjust storeUrls, maxItems, notionConnector (sensible defaults are pre-filled).

  3. 3
    Click Run

    The tool runs on Apify’s cloud and collects the data for you.

  4. 4
    Export the results

    Download as JSON, CSV or Excel, or pipe straight into your app, Google Sheets, or an AI agent.

Inputs

FieldWhat it doesType
storeUrlsOne or more Shopify stores to scrape. Accepts a bare domain (shop.com), a full URL (https://shop.com), or any page on the store (https://shop.com/collections/sale) — each is normalized to the store origin. Each store's public /products.json endpoint is paginated.array
maxItemsMaximum number of products to scrape per store before moving on. Products are paged in batches of 250 until this cap or the catalog is exhausted.integer
notionConnectorOptional. Write each product as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless.string
notionParentIdOptional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead.string

What you get

A structured dataset — each result includes fields like:

availablecreatedAtdescriptiondetailshandleimagesinputStorepriceMaxpriceMinproductIdproductTypepublishedAtstoretags

Export every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.

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