# Shopify App Store Reviews Scraper: Every Review, No Cap (`wulfcare/shopify-app-store-reviews-scraper`) Actor

Scrape every review of any Shopify App Store app: stars, text, date, the merchant's store name and country, time using the app and the developer's reply. Star and date filters. $0.03 per 1,000 reviews, no start fee, errors free.

- **URL**: https://apify.com/wulfcare/shopify-app-store-reviews-scraper.md
- **Developed by:** [Wulfcare Data](https://apify.com/wulfcare) (community)
- **Categories:** E-commerce, Developer tools
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.02 / 1,000 reviews

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Shopify App Store Reviews Scraper

Scrape **every review** of any app on the **Shopify App Store** (apps.shopify.com), **with no cap**. It reads about 2,500 reviews a minute, so most apps' whole review history takes a minute or two, and Judge.me's 50,000 take about 20 minutes.

- **Sort** newest first or most relevant
- **Filter by star rating** (only 1-2 stars, say) and **stop at a date** (only reviews since 2026-09-01, or the last 30 days)
- Each review has the stars, text, date, **the merchant's store name and country**, **how long they've used the app**, **the developer's reply** and a link to the review
- Apps by **handle** (`judgeme`) or **URL** (`https://apps.shopify.com/judgeme`)
- Per-app totals (rating, review count, star breakdown) in the `SUMMARY` record, free
- **$0.025 per 1,000 reviews**, no start fee, and errors are free

A missing app or a typo **never crashes the run**. You get a free row that says what went wrong, and the other apps carry on.

### What people use it for

- **Competitor research for Shopify app developers**: every complaint about every rival app, sorted and filtered
- **Review monitoring**: run it daily with *Only reviews since: 1 day* and send new 1-2 star reviews to Slack or email
- **Lead lists**: the store names of merchants who reviewed (and so use) a competitor's app, with their country and how long they've used it
- **Sentiment analysis and LLM datasets**: tens of thousands of merchant reviews of an app category
- **Support QA**: which reviews got a developer reply, and how fast

### How to use it

1. Add apps: handles like `judgeme`, or App Store URLs.
2. Set **Maximum reviews per app** (0 = all of them), and optionally an order, star ratings or a date.
3. Run it, then download JSON, CSV or Excel, or call the API.

Every column is present on every row (`null` when Shopify shows no value), and the columns don't change between runs.

### What you get: one row per review

```json
{
  "appHandle": "klaviyo-email-marketing",
  "appName": "Klaviyo: Email Marketing & SMS",
  "developer": "Klaviyo",
  "reviewId": "2326034",
  "rating": 5,
  "text": "Klaviyo is an important part of my business. From flows to newsletters to subscriber segments it allows me to market to my customers and analyse the results.\n\nIt is expensive, but it makes me money so all good!",
  "date": "2026-08-17",
  "edited": false,
  "storeName": "4MyEarth",
  "storeCountry": "Australia",
  "timeUsingApp": "Almost 4 years using the app",
  "replyText": "Thank you for the honest review. We're glad Klaviyo has been making a positive impact on your business!",
  "replyDate": "2026-08-18",
  "reviewUrl": "https://apps.shopify.com/reviews/2326034",
  "error": null
}
```

### Pricing

**$0.025 per 1,000 reviews.** There's no start fee and no monthly rental, and **you're never charged for errors**: apps not found, invalid inputs and failed requests are free rows.

Set **Max cost per run** in the run options to cap your spend. The run stops cleanly when it gets there, and you keep everything scraped so far.

### Examples

**Every 1- and 2-star review from the last 90 days**

```json
{ "apps": ["judgeme"], "maxReviewsPerApp": 0, "reviewStars": ["1", "2"], "reviewsSince": "90 days" }
```

**Every review of several competing apps** (for a dataset or an LLM)

```json
{ "apps": ["judgeme", "loox", "yotpo-social-reviews"], "maxReviewsPerApp": 0 }
```

**The 100 most relevant reviews**

```json
{ "apps": ["https://apps.shopify.com/klaviyo-email-marketing"], "reviewsSort": "relevant", "maxReviewsPerApp": 100 }
```

### Good to know

- **Edited reviews** show the edit date, like the App Store does, and have `edited: true`.
- **Speed:** Shopify allows each IP about 100 review pages a minute. The scraper stays under that on each of several Apify Proxy IPs (on by default) and switches IP when one is slowed down.
- **Use the handle from the app's URL.** The App Store's search is off-limits to bots (robots.txt), so app names can't be looked up.
- **Everything comes from the public App Store pages**, as a logged-out visitor sees them. No Shopify account is used.
- **Data accuracy:** results are what the source showed at run time and can contain errors or change later. Check anything important before you rely on it.

### Other Actors by Wulfcare Data

- [App Store Reviews Scraper](https://apify.com/wulfcare/app-store-reviews-scraper): every Apple App Store review, with no 500 cap
- [Google Play Reviews Scraper](https://apify.com/wulfcare/google-play-reviews-scraper): every Google Play review, with no cap
- [Steam Reviews Scraper](https://apify.com/wulfcare/steam-reviews-scraper): every Steam review of any game
- [YouTube Comments Scraper](https://apify.com/wulfcare/youtube-comments-scraper): every comment and reply on any video

Found a problem or need a field? Open an issue on the Issues tab.

# Actor input Schema

## `apps` (type: `array`):

Shopify App Store apps: the handle from the app's URL (judgeme for apps.shopify.com/judgeme) or the full URL. Every review of each app is fetched, up to the limit below.

## `maxReviewsPerApp` (type: `integer`):

0 = every review the app has (the biggest apps have 50,000+).

## `reviewsSort` (type: `string`):

Newest first can also stop at a date (below).

## `reviewStars` (type: `array`):

Only reviews with these ratings, e.g. 1 and 2 for complaints. Filtered on Shopify's side, so you only pay for the reviews you want. Empty = all.

## `reviewsSince` (type: `string`):

Skip reviews older than this, e.g. 2026-09-01 or "30 days". The run stops as soon as it reaches older reviews (uses Newest first).

## `maxConcurrency` (type: `integer`):

Review pages are spread over this many Apify Proxy IPs, each read at Shopify's polite rate. Ignored with the proxy off.

## `proxyConfiguration` (type: `object`):

On by default: Shopify allows each IP about 100 review pages a minute, so the run spreads pages over several Apify Proxy IPs (about 1,000 reviews every 8 seconds). Off = the run's own IP only, which is much slower.

## Actor input object example

```json
{
  "apps": [
    "judgeme",
    "https://apps.shopify.com/klaviyo-email-marketing"
  ],
  "maxReviewsPerApp": 200,
  "reviewsSort": "newest",
  "maxConcurrency": 8,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `summary` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "apps": [
        "judgeme",
        "https://apps.shopify.com/klaviyo-email-marketing"
    ],
    "maxReviewsPerApp": 200,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("wulfcare/shopify-app-store-reviews-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "apps": [
        "judgeme",
        "https://apps.shopify.com/klaviyo-email-marketing",
    ],
    "maxReviewsPerApp": 200,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("wulfcare/shopify-app-store-reviews-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "apps": [
    "judgeme",
    "https://apps.shopify.com/klaviyo-email-marketing"
  ],
  "maxReviewsPerApp": 200,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call wulfcare/shopify-app-store-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,wulfcare/shopify-app-store-reviews-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/reHhafy2Fj8ITOn7T/builds/AIKxchPiR3ozEuxI3/openapi.json