Monthly scraping of viral Quora questions into Google S

This automation workflow collects trending Quora questions on a predefined topic once per month. It scrapes content via Bright Data, extracts post titles and engagement metrics (e.g., answer counts), and appends structured data to a Google Sheet—creating a living archive for trend tracking and content research. Ideal for professionals who need consistent insights from real user discussions.

## Who it´s for
- Marketers tracking niche trends
- Content managers seeking article and post ideas
- Analysts gathering data on viral topics
- Freelancers preparing market trend reports
- SMM specialists working with social platforms

## What the automation does
- Triggers automatically on the first day of each month via cron schedule
- Sends an HTTP request through Bright Data to scrape Quora search results for a keyword (e.g., ´marketing´)
- Parses the HTML response to extract question titles and answer counts
- Structures the data and appends it as new rows to a designated Google Sheet
- Builds a cumulative dataset for cross-month comparison of topic popularity

## What´s included
- Ready-to-use n8n workflow
- Cron-based trigger logic and HTTP response handling
- Integrations with Bright Data, Quora (via HTTP), and Google Sheets API
- Basic text instructions for setup and adaptation

## Requirements for setup
- n8n instance (cloud or self-hosted)
- Bright Data account with web scraping access enabled
- Google Sheets access (personal or workspace account)
- Predefined search query or URL path on Quora

## Benefits and outcomes
- Saves time on manual data collection
- Delivers fresh content ideas on a recurring basis
- Enables monthly trend analysis of audience interests
- Automatically builds an archive of viral questions
- Supports data-driven decision-making using real platform insights

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.