# Shopify App Store Scraper — Apps, Reviews & Catalog (`prometheusagency/shopify-app-store-scraper`) Actor

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.

- **URL**: https://apify.com/prometheusagency/shopify-app-store-scraper.md
- **Developed by:** [Prometheus Agency](https://apify.com/prometheusagency) (community)
- **Categories:** E-commerce, Developer tools, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Shopify App Store Scraper — Apps, Reviews & Catalog

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 `text` and the developer's
  answer in `developerReply` — 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

```json
{
  "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

# Actor input Schema

## `mode` (type: `string`):

App details (rating, developer, category), full review history, or the complete App Store catalog of handles/URLs.

## `appUrls` (type: `array`):

Shopify App Store URLs (https://apps.shopify.com/<app>) or just the handles. Used by 'apps' and 'reviews' modes.

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

Reviews mode: how many reviews to collect per app (newest first).

## `maxItems` (type: `integer`):

Maximum total items output in this run.

## `requestDelayMs` (type: `integer`):

Politeness delay between page requests.

## Actor input object example

```json
{
  "mode": "apps",
  "appUrls": [
    "https://apps.shopify.com/klaviyo-email-marketing"
  ],
  "maxReviewsPerApp": 100,
  "maxItems": 200,
  "requestDelayMs": 500
}
```

# 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 = {
    "mode": "apps",
    "appUrls": [
        "https://apps.shopify.com/klaviyo-email-marketing"
    ],
    "maxReviewsPerApp": 100,
    "maxItems": 200
};

// Run the Actor and wait for it to finish
const run = await client.actor("prometheusagency/shopify-app-store-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 = {
    "mode": "apps",
    "appUrls": ["https://apps.shopify.com/klaviyo-email-marketing"],
    "maxReviewsPerApp": 100,
    "maxItems": 200,
}

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

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

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

```

## CLI example

```bash
echo '{
  "mode": "apps",
  "appUrls": [
    "https://apps.shopify.com/klaviyo-email-marketing"
  ],
  "maxReviewsPerApp": 100,
  "maxItems": 200
}' |
apify call prometheusagency/shopify-app-store-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=prometheusagency/shopify-app-store-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/HlrG6kjGiSpZBg7Gz/builds/frYxvKI9aBMLE3SEl/openapi.json