# Shopify App Store Intelligence Scraper (`datapeak/shopify-appstore-intel`) Actor
Scrape the Shopify App Store at scale. Extract app listings, ratings, reviews, pricing plans, categories and developer info as clean JSON/CSV. Built for app founders, competitor research and market intelligence. No login, pay per result, one-click run or API.
- **URL**: https://apify.com/datapeak/shopify-appstore-intel.md
- **Developed by:** [Gal Gilboa](https://apify.com/datapeak) (community)
- **Categories:** E-commerce, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $2.00 / 1,000 app scrapeds
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/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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 — App Data, Pricing Plans & Reviews
Extract structured data from the public **Shopify App Store** (apps.shopify.com): app details, pricing plans, ratings, review counts, categories, launch dates — and optionally **every merchant review** including the reviewer's store name, country, and how long they've used the app.
Built for **Shopify app developers, product teams, and agencies** who need reliable competitor intelligence without copy-pasting listings by hand.
### What data does it return?
For every app:
- App name, slug and canonical URL
- Developer name + partner page URL
- Star rating and total review count
- Pricing summary ("Free to install", "From $24/month", ...)
- **Full pricing plans** — plan name, price, and plan description
- Categories (e.g. Email marketing, SMS marketing)
- Launch date on the App Store
- Supported languages
- Listing description
With `includeReviews` enabled, one item per review:
- Star rating and review date
- Full review text (developer replies excluded from the text)
- Reviewer store name and **store country**
- Time using the app ("Almost 6 years using the app")
### Sample output
App item:
```json
{
"type": "app",
"name": "Klaviyo: Email Marketing & SMS",
"slug": "klaviyo-email-marketing",
"url": "https://apps.shopify.com/klaviyo-email-marketing",
"developer": "Klaviyo",
"developerUrl": "https://apps.shopify.com/partners/klaviyo",
"rating": 4.6,
"reviewCount": 2832,
"pricingSummary": "Free to install",
"pricingPlans": [
{ "name": "Free", "price": "Free to install", "description": "Email free forever for up to 250 contacts." },
{ "name": "SMS", "price": "$15 / month", "description": "Up to 1250 SMS/MMS credits. Includes carrier fees." },
{ "name": "Email", "price": "$20 / month", "description": "251-500 contacts. Upgrade as you grow." }
],
"categories": [
{ "name": "Email marketing", "slug": "marketing-and-conversion-marketing-email-marketing" },
{ "name": "SMS marketing", "slug": "marketing-and-conversion-marketing-sms-marketing" }
],
"launched": "September 20, 2012",
"languages": ["English", "French", "Spanish"],
"description": "Klaviyo is a leading email and sms marketing app for Shopify...",
"scrapedAt": "2026-07-10T12:00:00.000Z"
}
````
Review item:
```json
{
"type": "review",
"appSlug": "klaviyo-email-marketing",
"appName": "Klaviyo: Email Marketing & SMS",
"rating": 5,
"date": "May 2, 2026",
"text": "We use Klaviyo app for more than 5 years and it did help us recover the carts left...",
"storeName": "iSmart Home Gadgets",
"country": "Hong Kong SAR",
"timeUsingApp": "Over 5 years using the app",
"scrapedAt": "2026-07-10T12:00:00.000Z"
}
```
### How to use it
Choose any combination of three input modes:
| Input | What it does |
|---|---|
| `appUrls` | Scrape specific apps by URL — best for monitoring a fixed competitor set |
| `categorySlug` | Crawl a whole category (paginated `/all` listing), e.g. `marketing-and-conversion-marketing-email-marketing` |
| `searchKeyword` | Harvest apps from App Store search results |
| `maxApps` | Cap on apps collected from category/search listings |
| `includeReviews` + `maxReviewsPerApp` | Also crawl each app's review pages (10 reviews per page, newest first) |
Tip: category mode is the most reliable way to enumerate many apps. Shopify sometimes renders search results client-side, so search may return fewer results.
### Use cases
- **Competitor monitoring** — schedule a daily/weekly run over your competitor URLs and diff rating, review count, and pricing changes over time.
- **Review mining** — pull 1-star reviews across a category to find recurring complaints (missing features, pricing pain, support gaps) = your product roadmap.
- **Pricing research** — extract every pricing plan in a category to position your own plans with real market data.
- **Market sizing / niche selection** — rank a category by review count and launch date to spot crowded vs. underserved niches.
- **Lead generation** — build lists of app developers by category for partnership outreach.
### Pricing (pay per event)
| Event | Price | Meaning |
|---|---|---|
| `app-scraped` | $0.002 | One app record in the dataset |
| `review-scraped` | $0.0005 | One review record in the dataset |
Example: 100 apps with 50 reviews each = 100 × $0.002 + 5,000 × $0.0005 = **$2.70**.
The Actor respects your maximum cost per run and stops cleanly when the limit is reached.
### Fair use
The Actor only visits public marketing pages, uses low concurrency, and collects no data beyond what any visitor sees in a browser. Review bylines (store name, country) are public information displayed on the listing.
### Integrations
Standard Apify platform features apply: export to JSON/CSV/Excel, API access, webhooks, and scheduled runs for continuous competitor monitoring.
### Development
```bash
npm install
npm test # parses the saved fixture, 40 assertions
apify run # local run (uses ./storage)
```
# Actor input Schema
## `appUrls` (type: `array`):
Direct Shopify App Store app URLs to scrape, e.g. https://apps.shopify.com/klaviyo-email-marketing. Leave empty if you use a category or search keyword instead.
## `categorySlug` (type: `string`):
A Shopify App Store category to crawl. Accepts a full URL (https://apps.shopify.com/categories/marketing-and-conversion-marketing-email-marketing) or just the slug (marketing-and-conversion-marketing-email-marketing). The Actor automatically uses the paginated /all listing. Find slugs by browsing apps.shopify.com/categories.
## `searchKeyword` (type: `string`):
Keyword for Shopify App Store search, e.g. email marketing. Note: search results are sometimes rendered client-side by Shopify and may return fewer or zero results — category mode is the most reliable way to list many apps.
## `maxApps` (type: `integer`):
Maximum number of apps to scrape from category/search listings (direct App URLs are always scraped and don't count against this limit).
## `includeReviews` (type: `boolean`):
If enabled, the Actor also crawls each app's /reviews pages and outputs one dataset item per review (rating, date, text, reviewer store name, country, time using the app).
## `maxReviewsPerApp` (type: `integer`):
Upper limit of reviews scraped per app (10 reviews per page; newest first).
## `proxyConfiguration` (type: `object`):
Proxy to use for the requests. Apify automatic proxy is recommended for larger runs.
## Actor input object example
```json
{
"appUrls": [
"https://apps.shopify.com/klaviyo-email-marketing"
],
"maxApps": 25,
"includeReviews": false,
"maxReviewsPerApp": 20,
"proxyConfiguration": {
"useApifyProxy": true
}
}
```
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"appUrls": [
"https://apps.shopify.com/klaviyo-email-marketing"
],
"proxyConfiguration": {
"useApifyProxy": true
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("datapeak/shopify-appstore-intel").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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"appUrls": ["https://apps.shopify.com/klaviyo-email-marketing"],
"proxyConfiguration": { "useApifyProxy": True },
}
# Run the Actor and wait for it to finish
run = client.actor("datapeak/shopify-appstore-intel").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 '{
"appUrls": [
"https://apps.shopify.com/klaviyo-email-marketing"
],
"proxyConfiguration": {
"useApifyProxy": true
}
}' |
apify call datapeak/shopify-appstore-intel --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=datapeak/shopify-appstore-intel",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Shopify App Store Intelligence Scraper",
"description": "Scrape the Shopify App Store at scale. Extract app listings, ratings, reviews, pricing plans, categories and developer info as clean JSON/CSV. Built for app founders, competitor research and market intelligence. No login, pay per result, one-click run or API.",
"version": "0.1",
"x-build-id": "6lgNQwZee9sXouotW"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/datapeak~shopify-appstore-intel/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-datapeak-shopify-appstore-intel",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/datapeak~shopify-appstore-intel/runs": {
"post": {
"operationId": "runs-sync-datapeak-shopify-appstore-intel",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/datapeak~shopify-appstore-intel/run-sync": {
"post": {
"operationId": "run-sync-datapeak-shopify-appstore-intel",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"appUrls": {
"title": "App URLs",
"type": "array",
"description": "Direct Shopify App Store app URLs to scrape, e.g. https://apps.shopify.com/klaviyo-email-marketing. Leave empty if you use a category or search keyword instead.",
"items": {
"type": "string"
}
},
"categorySlug": {
"title": "Category slug or URL",
"type": "string",
"description": "A Shopify App Store category to crawl. Accepts a full URL (https://apps.shopify.com/categories/marketing-and-conversion-marketing-email-marketing) or just the slug (marketing-and-conversion-marketing-email-marketing). The Actor automatically uses the paginated /all listing. Find slugs by browsing apps.shopify.com/categories."
},
"searchKeyword": {
"title": "Search keyword",
"type": "string",
"description": "Keyword for Shopify App Store search, e.g. email marketing. Note: search results are sometimes rendered client-side by Shopify and may return fewer or zero results — category mode is the most reliable way to list many apps."
},
"maxApps": {
"title": "Max apps",
"minimum": 1,
"maximum": 5000,
"type": "integer",
"description": "Maximum number of apps to scrape from category/search listings (direct App URLs are always scraped and don't count against this limit).",
"default": 25
},
"includeReviews": {
"title": "Include full reviews",
"type": "boolean",
"description": "If enabled, the Actor also crawls each app's /reviews pages and outputs one dataset item per review (rating, date, text, reviewer store name, country, time using the app).",
"default": false
},
"maxReviewsPerApp": {
"title": "Max reviews per app",
"minimum": 1,
"maximum": 5000,
"type": "integer",
"description": "Upper limit of reviews scraped per app (10 reviews per page; newest first).",
"default": 20
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Proxy to use for the requests. Apify automatic proxy is recommended for larger runs."
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```