Monthly Viral Trend Tracker for Quora

somdn_product_page

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.

Node Count

6 – 10 Nodes

Nodes Used

googleSheets, html, httpRequest, scheduleTrigger, stickyNote

Reviews

There are no reviews yet.

Be the first to review “Monthly Viral Trend Tracker for Quora”

Your email address will not be published. Required fields are marked *