Automated Google Play Reviews Monitoring with Alerts

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This workflow creates a comprehensive system for monitoring Google Play Store reviews for specific apps. It starts with a user input form where the user provides the app URL and the number of reviews to scrape. The workflow then triggers a data scrape request to Bright Data (formerly Luminati), which starts collecting reviews and app information. The system periodically checks the status of this scraping process every 45 seconds until the dataset is ready. Once completed, it fetches the scraped data and appends relevant review details to a Google Sheet for storage and analysis. Additionally, the workflow filters reviews with low ratings (below 4 stars) and automatically sends Telegram alerts to notify stakeholders about poorly rated apps.

This automation is ideal for app developers, market analysts, or community managers who want real-time insights into app performance and user feedback. It ensures timely detection of negative reviews, enabling swift response and strategic decision-making.

Node Count

11 – 20 Nodes

Nodes Used

formTrigger, googleSheets, httpRequest, if, stickyNote, telegram, wait

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