Description
This AI-powered workflow leverages Bright Data’s 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 — ready for reporting, AI pipelines, or automation workflows.
👥 Who Is This For
📊 Data Analysts
To generate structured, enriched datasets for analysis and dashboards
📈 Marketing Researchers
To gather real-time insights from dynamic online sources
🧪 Product Managers
To monitor features, pricing, and positioning across competitors
🤖 AI Developers
To feed clean web data into ML/NLP pipelines
🚀 Growth Hackers
To extract campaign-ready, high-quality market data at scale
❗️What Problem Does It Solve
⏳ Manual web scraping is slow and brittle
🧹 Cleaning raw HTML is time-intensive
📉 Hard to scale data extraction workflows
🧩 Data pipelines often break without structured input
💡 The Solution
This workflow automates web scraping and AI-driven content processing with minimal setup:
🔗 Accepts target URL(s) for scraping
🛠️ Uses Bright Data MCP Server to unlock and extract HTML/Markdown
🧠 Transforms content using Google Gemini for insights and summaries
📤 Saves output to disk and sends it via webhook
⚙️ How It Works – The Process
📨 Trigger Input
Manually triggered or configurable for automation
🔗 URL Input
Specify one or more URLs to scrape
🧱 Web Scraping (Bright Data MCP)
Scrapes target site using MCP Server, returns HTML and Markdown
🧾 Data Storage & Delivery
Saves results to local disk and pushes via Webhook (e.g. Slack, Notion, etc.)
