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Google Play Reviews Scraper

This project provides a Python-based solution to scrape reviews from the Google Play Store using the google-play-scraper library. It leverages Apify's Actor platform to handle input data, process reviews, and output the results in a structured format.

Features

• Extracts reviews from Google Play for a specific app.
• Retrieves app details such as name and metadata.
• Fetches up to 10,000 reviews (or a custom limit defined by input).
• Saves reviews in a CSV file locally.
• Pushes review data to the Apify dataset for further processing.

Input JSON Example

{
"startUrls":[
{"url":"https://play.google.com/store/apps/details?id=com.example.app"}
],
"count":5000
}

• count: (Optional) Number of reviews to fetch. Defaults to 10,000.

Output

CSV File

The scraper saves the fetched reviews to a CSV file named google_play_reviews.csv. The file contains the following columns:

• User: Name of the user who left the review.
• Rating: Rating given by the user (1 to 5).
• Date: Date and time when the review was posted.
• Review: Content of the review.

Apify Dataset

The scraped reviews are pushed to the Apify dataset in chunks for scalability. Each entry contains:

• User
• Rating
• Date
• Review

How to Run the Script

1. Provide the input JSON as shown in the "Input JSON Example" section.
2. Start the Actor and monitor the logs for progress.

Example Output

Sample CSV Row

User,Rating,Date,Review
John Doe,5,2024-12-14 10:30:00,Great app! Very useful.

Sample Apify Dataset Entry

{
"User":"John Doe",
"Rating":5,
"Date":"2024-12-14 10:30:00",
"Review":"Great app! Very useful."
}