🐺 App Store Reviews Scraper | Pay Per Result
Pay $0.10 for 1,000 reviews
🐺 App Store Reviews Scraper | Pay Per Result
Pay $0.10 for 1,000 reviews
App Store Reviews Scraper is your ultimate tool to retrieve the reviews directly from the Apple Store. With extremely capable information retrieval, the lowest price, and lightning speed, this actor is unbeatable. It's priced at just $0.10 per 1000 reviews!
You can access the 🐺 App Store Reviews Scraper | Pay Per Result programmatically from your own Python 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.
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9 "appIds": [
10 "284882215",
11 "408709785",
12 ],
13 "startUrls": [
14 "https://apps.apple.com/gb/app/instagram/id389801252",
15 "https://apps.apple.com/ca/app/tiktok/id835599320",
16 ],
17 "maxItems": 1000,
18 "customMapFunction": "(object) => { return {...object} }",
19}
20
21# Run the Actor and wait for it to finish
22run = client.actor("thewolves/appstore-reviews-scraper").call(run_input=run_input)
23
24# Fetch and print Actor results from the run's dataset (if there are any)
25print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
26for item in client.dataset(run["defaultDatasetId"]).iterate_items():
27 print(item)
28
29# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start🐺 App Store Reviews Scraper | Pay Per Result API in Python
The Apify API client for Python is the official library that allows you to use 🐺 App Store Reviews Scraper | Pay Per Result API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
The Wolves- 11 monthly users
- 3 stars
- 100.0% runs succeeded
- Created in Feb 2024
- Modified about 22 hours ago
