App Store Data Extractor - Scrape reviews too! avatar
App Store Data Extractor - Scrape reviews too!
Try for free

3 days trial then $25.00/month - No credit card required now

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App Store Data Extractor - Scrape reviews too!

App Store Data Extractor - Scrape reviews too!

epctex/appstore-scraper
Try for free

3 days trial then $25.00/month - No credit card required now

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!

The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn mode

Node.js

Python

curl

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4const client = new ApifyClient({
5    token: '<YOUR_API_TOKEN>',
6});
7
8// Prepare Actor input
9const input = {
10    "startUrls": [
11        "https://itunes.apple.com/us/movie/inception/id400763833",
12        "https://apps.apple.com/us/app/angry-birds-2/id880047117"
13    ],
14    "term": "game",
15    "maxItems": 20,
16    "customMapFunction": (object) => { return {...object} },
17    "proxy": {
18        "useApifyProxy": true
19    }
20};
21
22(async () => {
23    // Run the Actor and wait for it to finish
24    const run = await client.actor("epctex/appstore-scraper").call(input);
25
26    // Fetch and print Actor results from the run's dataset (if any)
27    console.log('Results from dataset');
28    const { items } = await client.dataset(run.defaultDatasetId).listItems();
29    items.forEach((item) => {
30        console.dir(item);
31    });
32})();
Developer
Maintained by Community
Actor metrics
  • 21 monthly users
  • 97.6% runs succeeded
  • 0.0 days response time
  • Created in Nov 2021
  • Modified about 9 hours ago