Scrape Web Data with Bright Data, Google Gemini and MCP Automated AI Agent

For Bright Data, this automated workflow efficiently scrapes web data using advanced AI tools, providing results in both Markdown and HTML formats. It integrates with Google Gemini for intelligent query interpretation, ensuring optimal tool selection for each scraping task. The scraped content is saved for future reference, enhancing data accessibility and usability.

7/8/2025
19 nodes
Complex
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Categories:
Complex WorkflowManual Triggered
Integrations:
LangChainMcpClientSticky NoteMcpClientToolReadWriteFile

Target Audience

This workflow is ideal for:
- Data Analysts who need to extract specific information from websites for analysis.
- Developers looking to automate web scraping processes without manual intervention.
- Researchers who require structured data from various online sources for their studies.
- Business Intelligence Professionals aiming to gather competitive insights or market data.
- Marketers wanting to collect data on trends, customer feedback, or competitor strategies.

Problem Solved

This workflow addresses the challenge of efficient web data extraction by automating the scraping process using advanced tools. It eliminates the need for manual data collection, reduces errors, and saves valuable time. Users can easily gather necessary information from specified URLs and receive it in their preferred format, such as Markdown or HTML.

Workflow Steps

  • Manual Trigger: The workflow begins with a manual trigger, allowing users to start the process on demand.
    2. Set URLs: The workflow sets the target URL for scraping and the webhook URL for sending the results.
    3. MCP Client Tool: It utilizes the MCP Client to scrape the specified webpage using a defined tool (in Markdown format).
    4. AI Agent: An AI agent processes the scraping request, leveraging Google Gemini to interpret user input and select the appropriate scraping method.
    5. Webhook for Results: The scraped content is sent to a specified webhook, ensuring users receive the data promptly.
    6. Write to Disk: Finally, the scraped content is written to a designated file on disk for future reference, ensuring data persistence.

    • Customization Guide

    To customize this workflow:
    - Change the URL: Modify the 'Set the URLs' node to target different websites.
    - Adjust Output Format: Alter the 'format' in the 'Set the URL with the Webhook URL and data format' node to switch between Markdown and HTML.
    - Modify Scraping Tools: Update the MCP Client tool parameters to utilize different scraping options as per your requirements.
    - Webhook Configuration: Change the webhook URL to integrate with your desired endpoint for data reception.
    - Expand Functionality: Add additional nodes for further processing or analysis of the scraped data, such as data visualization or reporting.