Scrape public Shopify App Store reviews, star ratings, merchant feedback, developer replies, and app-level rating metrics from Shopify app listings.
Use it to monitor competitor sentiment, discover merchant pain points, track support quality, and build review datasets for ecommerce app research.
At a glance
- Extracts: review text, ratings, merchant details, developer replies, app handles, aggregate rating, review count, and scrape timestamps.
- Inputs: Shopify App Store app URLs, app handles, review limits, star-rating filters, locale, and page limits.
- Best for: competitor review monitoring, voice-of-customer research, app selection, product roadmap research, and reputation tracking.
- Exports: Apify dataset rows downloadable as CSV, JSON, Excel, or available through the API.
- Login: no Shopify merchant account or App Store API key is required for public review pages.
What can it do?
Shopify App Reviews Scraper collects public review records from Shopify App Store app pages.
It accepts app listing URLs or app handles and returns structured review rows in an Apify dataset.
Each row includes the app context, review rating, review text, date, merchant details when visible, and app-level rating totals.
Who is it for?
- Shopify app developers: understand what merchants praise, what frustrates them, and where competing apps leave gaps.
- Ecommerce agencies: compare Shopify apps before recommending tools to clients.
- Product managers: track sentiment changes and prioritize roadmap ideas from merchant feedback.
- Investors and analysts: measure market traction and customer happiness across Shopify ecosystem apps.
- Support and success teams: find recurring support complaints and developer response patterns.
Why use this scraper?
- Review text and ratings: collect merchant feedback and star ratings in one dataset.
- Competitor monitoring: track sentiment changes across competing Shopify apps over time.
- Developer replies: capture public developer replies when visible.
- Rating filters: focus on 1-star complaints, 5-star praise, or specific review bands.
- Clean exports: send CSV, JSON, Excel, API, or BI-ready rows to your workflow.
- Scheduling: run recurring monitoring jobs on Apify.
Quick start
- Open the actor on Apify.
- Paste one or more Shopify App Store app URLs.
- Set the maximum number of reviews per app.
- Optionally select star ratings to filter.
- Click Start.
- Download the results from the dataset.
Output example
{
"appHandle": "judgeme",
"appName": "Judge.me Product Reviews App",
"appUrl": "https://apps.shopify.com/judgeme",
"reviewId": "2238961",
"rating": 5,
"reviewText": "Juge.me supports everything we could ask of a review platform...",
"reviewDate": "June 10, 2026",
"merchantName": "Makeup A Murder, INC",
"merchantCountry": "United States",
"merchantUsage": "Over 6 years using the app",
"aggregateRating": 5,
"aggregateReviewCount": 40553,
"scrapedAt": "2026-06-27T19:14:07.583Z"
}
Tips for better results
- Start with one app and a low review limit.
- Use rating filters for focused sentiment research.
- Schedule repeated runs if you want review monitoring.
- Use app handles when you already have a list of competitors.
- Keep page limits aligned with your maximum review count.
Common workflows
- Competitor review monitoring: track competing Shopify apps and identify new complaints or praised features.
- Voice-of-customer research: export review text to analyze merchant language and buying triggers.
- Product roadmap research: find repeated feature requests and workflow blockers.
- Agency app selection: compare apps by merchant sentiment before recommending them to clients.
- Reputation tracking: monitor your own app reviews and developer reply coverage.
Integrations
Use Apify integrations to send results to:
- Google Sheets for review dashboards
- Slack for new negative-review alerts
- Make or Zapier for automated workflows
- BigQuery or Snowflake for analytics
- Webhooks for custom monitoring systems
API usage
Node.js
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('fetch_cat/shopify-app-reviews-scraper').call({
appUrls: [{ url: 'https://apps.shopify.com/judgeme/reviews' }],
maxReviewsPerApp: 25
});
console.log(run.defaultDatasetId);
Python
from apify_client import ApifyClient
import os
client = ApifyClient(os.environ['APIFY_TOKEN'])
run = client.actor('fetch_cat/shopify-app-reviews-scraper').call(run_input={
'appUrls': [{'url': 'https://apps.shopify.com/judgeme/reviews'}],
'maxReviewsPerApp': 25,
})
print(run['defaultDatasetId'])
cURL
curl -X POST 'https://api.apify.com/v2/acts/fetch_cat~shopify-app-reviews-scraper/runs?token=YOUR_APIFY_TOKEN' \
-H 'Content-Type: application/json' \
-d '{"appUrls":[{"url":"https://apps.shopify.com/judgeme/reviews"}],"maxReviewsPerApp":25}'
MCP and AI agents
Connect this actor to MCP-compatible tools through Apify MCP Server.
Use this MCP URL pattern:
https://mcp.apify.com/?tools=fetch_cat/shopify-app-reviews-scraper
Claude Code setup example:
claude mcp add apify-shopify-reviews https://mcp.apify.com/?tools=fetch_cat/shopify-app-reviews-scraper
MCP JSON configuration example:
{
"mcpServers": {
"apify-shopify-reviews": {
"url": "https://mcp.apify.com/?tools=fetch_cat/shopify-app-reviews-scraper"
}
}
}
Example prompts:
- "Scrape the latest 50 reviews for the Judge.me Shopify app."
- "Find 1-star reviews for this Shopify app and summarize merchant complaints."
- "Compare review sentiment for these three Shopify apps."
Scheduling
Create an Apify schedule to run the scraper daily, weekly, or monthly.
This is useful for ongoing monitoring of your app or competitors.
Export formats
Dataset results can be downloaded as:
- JSON
- CSV
- Excel
- XML
- RSS
- HTML table
Data quality notes
The actor returns fields that are publicly visible on Shopify App Store review pages.
Some merchant details or developer replies may be absent on specific reviews.
When a field is not visible, the value is returned as null.
Limits
Shopify App Store review availability depends on the public listing.
Very old pages or filtered views may return fewer records than requested.
Use sensible review and page limits for predictable run time.
Troubleshooting
The run returned no reviews
Check that the app handle or URL is valid and that the app has public reviews.
Try the app listing URL in a browser, then rerun with a small limit.
I got fewer reviews than requested
The selected rating filter may have fewer matching reviews, or the page limit may be too low.
Increase maxPagesPerApp or remove rating filters.
Some reply fields are empty
Developer replies are only returned when they are visible for a review.
Legality
Is it legal to scrape Shopify App Store reviews?
This actor collects publicly available information from Shopify App Store pages.
You are responsible for using the data in line with applicable laws, Shopify terms, and privacy requirements.
Avoid collecting or using personal data in a way that violates regulations or platform rules.
Support
If a run fails, returns no data, or a field looks wrong, open an issue from the Actor page.
Please include the Apify run ID or run URL, input JSON, one example public URL, query, or input item, what you expected, and what the dataset returned. Small reproducible inputs make parsing or site-layout issues much faster to fix.
