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 json { "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 csv User,Rating,Date,Review John Doe,5,2024-12-14 10:30:00,Great app! Very useful. ### Sample Apify Dataset Entry json { "User": "John Doe", "Rating": 5, "Date": "2024-12-14 10:30:00", "Review": "Great app! Very useful." }