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๐บ Google Play Reviews Scraper | Pay per Result
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Pay $0.10 for 1,000 reviews
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๐บ Google Play Reviews Scraper | Pay per Result
thewolves/google-play-reviews-scraper
Try for free
Pay $0.10 for 1,000 reviews
Google Play Reviews Scraper stands as the most enhanced solution for extracting reviews directly from Google Play, offering unparalleled data retrieval efficiency, unbeatable pricing, and exceptional speed. It charges only $0.10 for 1000 reviews in lightning-speed โก๏ธ
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 more
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8 "appIds": [
9 "com.instagram.android",
10 "com.whatsapp",
11 "com.zhiliaoapp.musically",
12 ],
13 "startUrls": [
14 "https://play.google.com/store/apps/details?id=com.snapchat.android&hl=es&gl=US",
15 "https://play.google.com/store/apps/details?id=com.facebook.katana&hl=en&gl=DE",
16 "https://play.google.com/store/apps/details?id=org.telegram.messenger&hl=fi&gl=CA",
17 ],
18 "maxItems": 1000,
19 "customMapFunction": "(object) => { return {...object} }",
20}
21
22# Run the Actor and wait for it to finish
23run = client.actor("thewolves/google-play-reviews-scraper").call(run_input=run_input)
24
25# Fetch and print Actor results from the run's dataset (if there are any)
26print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
27for item in client.dataset(run["defaultDatasetId"]).iterate_items():
28 print(item)
29
30# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Community
Actor metrics
- 18 monthly users
- 1 star
- 99.1% runs succeeded
- 24 hours response time
- Created in Feb 2024
- Modified about 14 hours ago
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