Empower AI Agents: Seamless Web Scraping & API Calls
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This workflow demonstrates how to build powerful AI agents in n8n that can interact with external services through web scraping and API calls. It highlights the efficiency of the new HTTP Tool, significantly simplifying the process of creating AI-enabled tools compared to previous methods. Easily integrate intelligent agents into your automation workflows for dynamic data fetching and task execution.
About This Workflow
Unlock the full potential of AI automation with this n8n workflow, showcasing two practical examples of intelligent agents interacting with the external world. The first agent leverages a web scraping tool to intelligently extract information from any URL, exemplified by fetching GitHub issues. The second demonstrates an AI agent calling a custom API to suggest activities based on user input, like finding educational activities. This workflow is built using the streamlined HTTP Tool, drastically reducing complexity and node count compared to older methods. It allows your AI agents to dynamically decide when and how to use these integrated tools, making your automations smarter and more responsive.
Key Features
- Intelligent AI Agents: Deploy sophisticated AI agents capable of understanding context and executing complex tasks.
- Simplified Tool Integration: Utilize the new HTTP Tool to easily connect AI agents to any web API or service, eliminating cumbersome subworkflows.
- Dynamic Web Scraping: Enable AI agents to intelligently scrape and parse web content, like fetching repository issues from GitHub.
- API-Driven Decision Making: Allow agents to dynamically call external APIs (e.g., activity suggestions) based on user prompts and parameters.
- Reduced Workflow Complexity: Benefit from a significantly cleaner and more efficient workflow design, cutting down node count and improving maintainability.
How To Use
- Activate Workflow: Start by clicking "Execute Workflow" or "Test Workflow" in the n8n editor.
- Examine Chat Inputs: Observe the "Set ChatInput" nodes. The first provides a prompt for web scraping, and the second for API-driven activity suggestions.
- Review AI Agent Decisions: Follow the connections from the "Set ChatInput" nodes to the respective "AI Agent" nodes. These agents will decide which connected "HTTP Tool" to use based on the input prompt.
- Configure Credentials: Ensure your OpenAI API key is configured in the "OpenAI Chat Model" nodes and a Firecrawl API key is set up for the "Webscraper Tool" for full functionality.
- Modify Inputs: Change the
chatInputvalues in the "Set ChatInput" nodes to experiment with different queries for your AI agents.
Apps Used
Workflow JSON
{
"id": "2ed5e3d2-6aff-4ccb-9750-253298af2174",
"name": "Empower AI Agents: Seamless Web Scraping & API Calls",
"nodes": 29,
"category": "Operations",
"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: 2ed5e3d2-6aff...
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