Shopify App Store Scraper — Apps, Reviews & Catalog
Pricing
from $5.00 / 1,000 results
Shopify App Store Scraper — Apps, Reviews & Catalog
Scrape Shopify App Store app details (rating, reviews count, developer, category), full review history with merchant names and dates, and the complete app catalog. Reliable structured-data parsing. For app developers, investors and market research.
Pricing
from $5.00 / 1,000 results
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Developer
Prometheus Agency
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1
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4 hours ago
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Extract clean, structured data from the Shopify App Store: app details (rating, review count, developer, category, pricing), full review history with merchant names, dates and developer replies, and the complete app catalog. Built for app developers, investors and market research.
Three modes
| Mode | What you get |
|---|---|
| App details | Name, rating, total reviews, developer, category, icon — from structured data |
| Reviews of apps | Every review: rating, date, merchant, full text and the developer's reply (separated) |
| Full app catalog | Every app handle + URL in the store (from the official sitemap) |
Why this one beats the rest
- Full review text — always. Long reviews on the App Store are truncated and loaded dynamically; many scrapers return empty bodies. We fetch the fully-rendered reviews, so you get 100% of the text.
- Review vs developer reply, separated. We put the merchant's words in
textand the developer's answer indeveloperReply— no mixing garbage into your dataset. - Reliable structured data. App details come from the page's JSON-LD, not brittle CSS guesses.
- Readable errors & default run that just works.
Example: a review
{"type": "review","appHandle": "klaviyo-email-marketing","rating": 1,"date": "June 28, 2026","merchant": "Cool Store Co","text": "Support was slow and prices jumped without warning...","developerReply": "We're sorry to hear this — our team has reached out..."}
Who buys this
- App developers — track competitors' ratings, mine 1-star reviews for feature gaps, watch pricing
- Investors / analysts — evaluate app traction and sentiment across the ecosystem
- Agencies — find apps with poor reviews to pitch better alternatives
- AI agents — clean schema, ready for LLM analysis of merchant sentiment
Tips
- Combine reviews mode with a Schedule to track sentiment over time
- Use catalog mode to build a target list, then run apps mode on it for full metadata
- Set a max cost per run — the Actor respects it exactly and stops there