Automated Multi-Search and Data Extraction Workflow

somdn_product_page

This n8n workflow is designed to automate the process of performing searches across Google, Bing, and Yandex using Bright Data’s MCP (Massive Control Panel) client integrations. The workflow starts with a manual trigger, allowing users to input specific search queries and actions, such as ‘Bright Data’. It then sets these input fields and uses dedicated MCP clients to execute searches on each search engine, scraping the search results. The results are processed through AI-powered language models, including Google Gemini, to generate human-readable summaries and structured data extraction. The search results are saved to a file for further analysis or record-keeping.

Key nodes include a manual trigger for testing, MCP client tools for each search engine, a Bright Data AI agent for enhanced data analysis, language models for creating human-readable content, and a webhook to send cleaned data to a specified URL. Sticky notes provide guidance and disclaimers, including the use of self-hosted nodes and AI capabilities.

This workflow is particularly useful for SEO analysis, market research, competitive intelligence, or any scenario requiring automated multi-source search and data extraction with built-in AI enhancement. It streamlines tedious manual search and data processing, saving time and ensuring data consistency.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.informationExtractor, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, function, httpRequest, manualTrigger, n8n-nodes-mcp.mcpClient, n8n-nodes-mcp.mcpClientTool, readWriteFile, set, stickyNote

Reviews

There are no reviews yet.

Be the first to review “Automated Multi-Search and Data Extraction Workflow”

Your email address will not be published. Required fields are marked *