This n8n workflow automates the monthly collection of viral content from Quora by leveraging Bright Data’s web scraping capabilities. The process begins with a scheduled trigger on the 1st of each month, which initiates an HTTP request to Bright Data’s API to scrape trending Quora search results for specified topics like marketing or design. The raw HTML data is then processed using HTML extraction nodes to isolate key information such as post titles, URLs, and engagement metrics. Finally, this structured data is appended to a Google Sheet, creating a living database of monthly viral trends. This workflow is particularly useful for content creators, marketers, and trend analysts who want to stay ahead of trending topics without manual effort, enabling data-driven decisions and content planning.
Monthly Viral Trend Tracker for Quora
| Node Count | 6 – 10 Nodes |
|---|---|
| Nodes Used | googleSheets, html, httpRequest, scheduleTrigger, stickyNote |
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