Automate Web Data Scraping with AI and Bright Data
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Effortlessly scrape web data using a powerful combination of Bright Data, Google Gemini, and MCP Automated AI Agents. This workflow streamlines data extraction and processing for diverse applications.
About This Workflow
This n8n workflow empowers you to automate complex web scraping tasks with unparalleled intelligence. By integrating Bright Data's robust scraping capabilities with the advanced AI of Google Gemini and the MCP Automated AI Agent, you can extract specific data points, process them, and deliver results in your preferred format (Markdown or HTML). This solution is designed to ingest URLs, interact with sophisticated AI agents for data interpretation, and seamlessly send the extracted information to a designated webhook. Unlock valuable insights from the web with minimal manual intervention, accelerating your data-driven projects and decision-making processes.
Key Features
- Intelligent Data Extraction: Leverage AI agents like Google Gemini to understand and extract relevant data from web pages.
- Versatile Scraping Options: Choose to receive scraped data in either Markdown or HTML format.
- Automated Workflow: Trigger the entire scraping and data processing pipeline with a single action.
- Flexible Integration: Easily send extracted data to external services via webhooks.
- Powerful Tooling: Utilizes Bright Data for reliable web scraping and MCP for intelligent automation.
How To Use
- Configure Webhook: Set up your
httpRequestnodes with the desired webhook URLs to receive the scraped data. - Define Target URLs: Utilize the
Set the URLsnode to specify the web pages you want to scrape. - Integrate AI Agent: Configure the
AI Agentnode with your prompt to guide the data extraction process. - Connect Scraping Tools: Link the
MCP Client Bright Data Web Scrapernode (or its_Toolvariant) to execute the scraping operation for the specified URL. - Set up Output Format: Choose between
MCP Client to Scrape as MarkdownorMCP Client to Scrape as HTMLbased on your desired output. - Connect AI and Memory: Integrate the
Google Gemini Chat Model for AI AgentandSimple Memorynodes to enable intelligent processing and context retention. - Test Workflow: Use the
When clicking ‘Test workflow’trigger to run and verify the entire automation.
Apps Used
Workflow JSON
{
"id": "f5297a4e-2899-4732-b736-d6132797c01f",
"name": "Automate Web Data Scraping with AI and Bright Data",
"nodes": 7,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: f5297a4e-2899...
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