Shopify App Store Scraper

Gather comprehensive details on Shopify apps straight from the public App Store with ease. Whether you are running quick keyword searches or pulling full application listings, this tool retrieves essential app names, summaries, visuals, ratings, and structured metadata, allowing you to export clean datasets directly into JSON, CSV, or Excel formats.

What it does

This tool reads public App Store pages to collect rich application listings. Search mode quickly processes result queries to build structured shortlists, while details mode dives straight into specific app handles to extract deep metadata. It is built for anyone who needs reliable Shopify App Store intelligence without dealing with manual browsing or custom scrapers.

Modes

• Search apps: Iterates through result pages for your specified keywords until your item cap is reached.
• App details: Fetches complete listing pages directly for the specific app handles you provide.

Input example

{
  "mode": "search",
  "queries": ["email"],
  "maxItems": 50,
  "requestDelaySecs": 2
}

Details mode example:

{
  "mode": "details",
  "appHandles": ["klaviyo-email-marketing"],
  "maxItems": 10
}

Output example

{
  "schemaContext": "https://schema.org",
  "schemaType": "SoftwareApplication",
  "name": "Klaviyo: Email Marketing & SMS",
  "appDescription": "Klaviyo is a leading email and sms marketing app for Shopify. Improve your marketing ROI with our templates to deliver personalized email and sms campaigns.",
  "image": "https://cdn.shopify.com/app-store/listing_images/5edd9000b933a8fa88c152d1e498531f/icon/CP6B2OOv3PYCEAE=.png",
  "operatingSystem": "Shopify",
  "ratingType": "AggregateRating",
  "ratingValue": 4.7,
  "ratingCount": 3372
  "appHandle": "klaviyo-email-marketing",
  "scrapedAt": "2026-10-26T00:00:00+00:00"
}

Use cases

• Competitor scans: Search niche keywords and export curated shortlists of Shopify apps complete with ratings and review counts.
• Listing checks: Re-fetch known app handles over time to monitor description updates or rating shifts.
• Market research: Build structured spreadsheets containing app names, publisher brands, and review metrics categorized by theme.
• Lead lists: Gather publisher brands and app listing URLs for outreach and market analysis.

Pricing and Usage Limits

• Flexible execution: Control your volume using the maxItems parameter, with runs scaling smoothly up to 1,000 items per execution.
• Resource management: Adjust request delays to maintain smooth and steady data retrieval.

FAQ

Who is this for? Analysts, marketers, and developers who need clean Shopify App Store listings neatly organized in spreadsheets or datasets.

What can I export? You can export your collected data in JSON, CSV, Excel, and various other standard dataset formats.

Can I run it on a schedule? Yes, you can set up automated schedules to refresh your dataset regularly.

How many apps can one run return? Up to your configured maxItems value, with a maximum ceiling of 1,000 items per run.

Related tools

If you plan to map or join these rows, a geocoding pass or a quick CSV cleanup are the usual next steps. BigiByte also builds scrapers for other open-data portals when you need them as a separate job.

Need another portal, a scheduled monitor, or a custom pipeline? BigiByte builds custom scrapers and APIs: https://bigibyte.com

Trademark Notice

Shopify App Store and related names, logos, and trademarks belong to their respective owners. Their use in this documentation is solely to identify the source of the data and does not imply affiliation, sponsorship, endorsement, or partnership.

Disclaimer

This tool operates independently and is not affiliated with, endorsed by, sponsored by, or otherwise officially associated with Shopify or its owners. All data is gathered strictly from publicly available sources. Users are responsible for complying with applicable terms of use, rate limits, and attribution requirements.

Is web scraping legal?

This actor extracts publicly accessible data without bypassing login screens, paywalls, or technical security layers. While collecting public web data is widely permitted, compliance depends on how data is gathered and used:

• Personal data: When collecting identifiers like emails, phone numbers, or social handles, ensure compliance with applicable data protection laws such as GDPR or CCPA.
• Copyrighted content: Public text, images, and visual assets are often protected by intellectual property rights. Avoid directly duplicating or redistributing full creative works.
• Platform terms & rate limits: Practice responsible data extraction by avoiding aggressive traffic spikes, adhering to rate limits, and respecting published platform policies.
• Disclaimer: This summary serves informational purposes only and does not constitute formal legal counsel. Seek professional legal advice for specific compliance queries.
• For a detailed guide, see Apify's legal overview: Is web scraping legal?