# Shopify App Store Scraper: Apps & Reviews (`green_trousers/shopify-app-store-reviews`) Actor

Scrape Shopify App Store apps and merchant reviews: ratings, review text, store name, country, usage time and developer replies, plus app pricing plans and developer info. Whole categories or single apps. Fast, no browser needed.

- **URL**: https://apify.com/green_trousers/shopify-app-store-reviews.md
- **Developed by:** [Omar Prime](https://apify.com/green_trousers) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 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.

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 Scraper: Apps & Reviews

Turn the Shopify App Store into a clean dataset. Get **merchant reviews** (star rating, full text, store name, country, how long they've used the app, developer reply) and **app details** (rating, review count, developer, pricing plans, launch date, languages, Built for Shopify badge) for single apps or entire categories.

Fast and cheap: plain HTTP, no headless browser, no proxy needed.

### Who uses it

- **App developers:** track competitors' reviews, mine complaints for feature ideas, and watch your own rating daily.
- **Agencies and SaaS sales teams:** build lead lists of Shopify stores (by name and country) that use a given app.
- **Investors and analysts:** size app categories by review volume, ratings and pricing.
- **AI/LLM pipelines:** feed real merchant feedback into sentiment analysis or summaries.

### Input

| Field | Example |
|---|---|
| App URLs or handles | `https://apps.shopify.com/klaviyo-email-marketing`, `omnisend` |
| Category URLs | `https://apps.shopify.com/categories/marketing-and-conversion-marketing-email-marketing` |
| Max apps per category | `20` |
| Max reviews per app | `100` (0 = app details only) |
| Only reviews since | `2026-10-01` |
| Only these star ratings | `1`, `2` (find unhappy customers of a competitor) |

### Output

Each dataset item has `type: "app"` or `type: "review"`.

```json
{
  "type": "review",
  "appName": "Klaviyo: Email Marketing & SMS",
  "rating": 5,
  "date": "October 20, 2026",
  "text": "Super intuitivo, muy fácil de usar...",
  "storeName": "Iguana Sell ES",
  "storeCountry": "Spain",
  "usageDuration": "Almost 7 years using the app",
  "developerReply": null,
  "url": "https://apps.shopify.com/klaviyo-email-marketing/reviews/2401893"
}
```

```json
{
  "type": "app",
  "name": "Klaviyo: Email Marketing & SMS",
  "rating": 4.7,
  "reviewCount": 3399,
  "developer": "Klaviyo",
  "pricing": "Free to install",
  "launched": "September 20, 2012",
  "builtForShopify": false
}
```

### Pricing

Pay per result: **$1 per 1,000 reviews** and **$3 per 1,000 apps**. Monitoring 10 competitors' new reviews every day costs pennies.

### Tips

- **Daily review alerts:** schedule a run with *Only reviews since* set to yesterday and connect it to Slack or Google Sheets through Apify integrations.
- **Competitor complaints:** set *Only these star ratings* to 1 and 2.

### Notes

Collects only publicly visible App Store pages and respects Shopify's robots.txt (no search pages). Reviewer names are store names shown publicly by Shopify. Not affiliated with Shopify.

# Actor input Schema

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

Shopify App Store app pages, e.g. https://apps.shopify.com/klaviyo-email-marketing or just klaviyo-email-marketing.

## `categoryUrls` (type: `array`):

Collect every app in a category, e.g. https://apps.shopify.com/categories/marketing-and-conversion-marketing-email-marketing

## `maxAppsPerCategory` (type: `integer`):

Apps are taken in the order Shopify ranks them.

## `includeAppDetails` (type: `boolean`):

Name, rating, review count, developer, pricing plans, launch date, languages, Built for Shopify badge.

## `includeReviews` (type: `boolean`):

Scrape merchant reviews for each app, newest first.

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

Set 0 to skip reviews.

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

Stop at reviews older than this date (YYYY-MM-DD). Great for daily monitoring.

## `ratings` (type: `array`):

Empty = all ratings.

## Actor input object example

```json
{
  "apps": [
    "https://apps.shopify.com/klaviyo-email-marketing"
  ],
  "categoryUrls": [],
  "maxAppsPerCategory": 20,
  "includeAppDetails": true,
  "includeReviews": true,
  "maxReviewsPerApp": 100,
  "ratings": []
}
```

# Actor output Schema

## `results` (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": [
        "https://apps.shopify.com/klaviyo-email-marketing"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("green_trousers/shopify-app-store-reviews").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": ["https://apps.shopify.com/klaviyo-email-marketing"] }

# Run the Actor and wait for it to finish
run = client.actor("green_trousers/shopify-app-store-reviews").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": [
    "https://apps.shopify.com/klaviyo-email-marketing"
  ]
}' |
apify call green_trousers/shopify-app-store-reviews --silent --output-dataset

```

## MCP server setup

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

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/ttXQbITkqttVUW5hS/builds/pRxiCTDq9G6Nxs26q/openapi.json