Description
This AI-powered workflow leverages Bright Dataβs MCP Server and Google Gemini to automate intelligent, large-scale web data extraction and transformation. Built for n8n self-hosted with a custom community node, it turns raw HTML into structured, enriched output β ready for reporting, AI pipelines, or automation workflows.
π₯ Who Is This For
π Data Analysts
To generate structured, enriched datasets for analysis and dashboards
π Marketing Researchers
To gather real-time insights from dynamic online sources
π§ͺ Product Managers
To monitor features, pricing, and positioning across competitors
π€ AI Developers
To feed clean web data into ML/NLP pipelines
π Growth Hackers
To extract campaign-ready, high-quality market data at scale
βοΈWhat Problem Does It Solve
β³ Manual web scraping is slow and brittle
π§Ή Cleaning raw HTML is time-intensive
π Hard to scale data extraction workflows
π§© Data pipelines often break without structured input
π‘ The Solution
This workflow automates web scraping and AI-driven content processing with minimal setup:
π Accepts target URL(s) for scraping
π οΈ Uses Bright Data MCP Server to unlock and extract HTML/Markdown
π§ Transforms content using Google Gemini for insights and summaries
π€ Saves output to disk and sends it via webhook
βοΈ How It Works β The Process
π¨ Trigger Input
Manually triggered or configurable for automation
π URL Input
Specify one or more URLs to scrape
π§± Web Scraping (Bright Data MCP)
Scrapes target site using MCP Server, returns HTML and Markdown
π§Ύ Data Storage & Delivery
Saves results to local disk and pushes via Webhook (e.g. Slack, Notion, etc.)







