App Store Data Extractor - Scrape reviews too! avatar
App Store Data Extractor - Scrape reviews too!

Pricing

$25.00/month + usage

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App Store Data Extractor - Scrape reviews too!

App Store Data Extractor - Scrape reviews too!

Developed by

epctex

epctex

Maintained by Community

Discover a vast collection of apps, movies, podcasts, reviews, and more on iTunes and the App Store. Extract comprehensive data including images, ISBN, author, description, title, language, user ratings, and reviews focused on countries without limitations. Unlimited and extremely fast!

3.4 (2)

Pricing

$25.00/month + usage

5

Total users

581

Monthly users

34

Runs succeeded

>99%

Last modified

17 hours ago

You can access the App Store Data Extractor - Scrape reviews too! programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

$# Start Server-Sent Events (SSE) session and keep it running
<curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=epctex/appstore-scraper"
# Session id example output:
# event: endpoint
# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using App Store Insights Scraper - Scrape reviews too! via Model Context Protocol (MCP) server

MCP server lets you use App Store Insights Scraper - Scrape reviews too! within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the App Store Insights Scraper - Scrape reviews too! Actor with the provided input.

$curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
$ "jsonrpc": "2.0",
$ "id": 1,
$ "method": "tools/call",
$ "params": {
$ "arguments": {
$ "startUrls": [
$ "https://itunes.apple.com/us/movie/inception/id400763833",
$ "https://apps.apple.com/us/app/angry-birds-2/id880047117"
$ ],
$ "term": "game",
$ "maxItems": 20,
$ "customMapFunction": "(object) => { return {...object} }",
$ "proxy": {
$ "useApifyProxy": true
$ }
$},
$ "name": "epctex/appstore-scraper"
$ }
$}'

The response should be: Accepted. You should received response via SSE (JSON) as:

$event: message
$data: {
$ "result": {
$ "content": [
$ {
$ "type": "text",
$ "text": "ACTOR_RESPONSE"
$ }
$ ]
$ }
$}

Configure local MCP Server via standard input/output for App Store Insights Scraper - Scrape reviews too!

You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:

{
"mcpServers": {
"actors-mcp-server": {
"command": "npx",
"args": [
"-y",
"@apify/actors-mcp-server",
"--actors",
"epctex/appstore-scraper"
],
"env": {
"APIFY_TOKEN": "<YOUR_API_TOKEN>"
}
}
}
}

You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.

To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.