AI Agent with HTTP API Calls for Data Scraping and Activity Suggestion
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This n8n workflow demonstrates how to build AI agents capable of scraping web pages and fetching data using HTTP requests. It leverages the OpenAI Chat Model and custom tools to enhance AI capabilities.
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About This Workflow
Overview
This n8n workflow showcases advanced AI agent capabilities, specifically focusing on integrating HTTP API calls for real-world data interaction. It reworks existing examples to utilize the new toolHttpRequest node and agent node, significantly simplifying the workflow by replacing separate nodes like 'Execute Workflow Tool', 'Subworkflow', and 'Response Formatting'. The primary goal is to enable AI agents to not only process information but also to actively fetch and utilize external data through API calls, thereby solving the problem of static AI responses and enabling dynamic data retrieval.
This approach is ideal for scenarios where an AI needs to access current information from the web or interact with external services to provide more accurate and relevant responses.
Key Features
- Empowers AI agents to perform web scraping using the
Webscraper Tool. - Allows AI agents to query external APIs for data, such as fetching suggested activities with the
Activity Tool. - Simplifies workflow structure by replacing multiple nodes with the versatile
toolHttpRequestnode. - Integrates with
OpenAI Chat Modelfor natural language processing and decision-making. - Utilizes the
agentnode to orchestrate AI actions based on user input and available tools.
How To Use
- Set up AI Model: Configure the
OpenAI Chat Modelnode with your OpenAI API credentials. - Define Web Scraping Prompt: Use the
Set ChatInputnode to define the user's request for web scraping (e.g., 'Can you scrape this URL?'). Connect this to theAI Agentnode. - Configure Web Scraper Tool: Set up the
Webscraper Toolto point to your scraping API endpoint (e.g., Firecrawl). Link this tool as an availableai_toolfor theAI Agentnode. - Define Activity Suggestion Prompt: Use the
Set ChatInput1node to formulate a prompt for activity suggestions (e.g., 'Suggest something to do'). Connect this to theAI Agent1node. - Configure Activity Tool: Set up the
Activity Toolwith the appropriate API endpoint and parameters for fetching activity suggestions. Link this tool as an availableai_toolfor theAI Agent1node. - Trigger Workflow: Use the
When clicking ‘Test workflow’manual trigger to initiate the AI agent's execution. - Review Results: The AI agent will process the input, decide whether to use a tool, execute the tool if necessary, and return the results.
Apps Used
Workflow JSON
{
"id": "b84dd27e-c23a-4461-87a4-dc7260637f3b",
"name": "AI Agent with HTTP API Calls for Data Scraping and Activity Suggestion",
"nodes": 0,
"category": "AI & LLM Integrations",
"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: b84dd27e-c23a...
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