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Web scraping & screenshot automation with GPT 4.1 mini and Firecrawl

Luan CorreiaLuan Correia
1375 views
2/3/2026
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🔍 Overview

This template uses Firecrawl’s /search API to perform AI-powered web scraping and screenshots — no code required. Just type natural language prompts, and an AI Agent will convert them into precise Firecrawl queries.

⚙️ Setup

  1. Get your Firecrawl API Key from https://firecrawl.dev
  2. Add it to n8n using HTTP Header Auth:
    • Key: Authorization
    • Value: Bearer YOUR_API_KEY

🚀 What It Does

  • Turns natural language into smart search queries
  • Scrapes web data and captures full-page screenshots
  • Returns titles, links, content, and images

💡 Example

Input: > Find AI automation pages on YouTube (exclude Shorts)

Result:

{
  "query": "intitle:AI automation site:youtube.com -shorts",
  "limit": 5
}

n8n Web Scraping & Screenshot Automation with AI

This n8n workflow leverages AI to perform web scraping, generate screenshots, and extract information from web pages based on user prompts. It's designed to automate the process of gathering visual and textual data from websites, making it ideal for research, content creation, or monitoring.

What it does

This workflow automates the following steps:

  1. Receives Chat Message: It is triggered by an incoming chat message, which serves as the user's prompt for what to scrape or screenshot.
  2. AI Agent Processing: An AI Agent (likely powered by a large language model like GPT-4 mini via OpenRouter) interprets the chat message.
  3. Dynamic Web Interaction: Based on the AI's understanding, it executes an HTTP Request. This request is dynamically constructed by the AI to perform actions like:
    • Navigating to a specified URL.
    • Taking a screenshot of a webpage.
    • Extracting specific content from the webpage.
  4. Information Extraction: The AI processes the response from the HTTP request (e.g., the content of the webpage or confirmation of a screenshot) to extract relevant information.
  5. Responds to Chat: The AI Agent then formulates a response based on the extracted information or the result of the web interaction, sending it back to the user via the chat.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running instance of n8n.
  • OpenRouter Account & API Key: For the "OpenRouter Chat Model" node to access various large language models (like GPT-4 mini).
  • Web Scraping/Screenshot Service (Implicit): The "HTTP Request" node implies interaction with an external service capable of web scraping and/or screenshot generation. This service's API details would need to be configured within the "HTTP Request" node. Examples could include services like Firecrawl, Browserless, or a custom-built API.

Setup/Usage

  1. Import the Workflow: Import the provided JSON into your n8n instance.
  2. Configure Credentials:
    • OpenRouter Chat Model: Set up your OpenRouter API key credential within n8n and select it in the "OpenRouter Chat Model" node.
    • HTTP Request: Configure the "HTTP Request" node with the URL and any necessary authentication for your chosen web scraping/screenshot service. The exact parameters will depend on the service you use, but the AI Agent is designed to dynamically generate the request body/parameters.
  3. Activate the Workflow: Once configured, activate the workflow.
  4. Send a Chat Message: Interact with the "Chat Trigger" (e.g., via a configured chat platform like Telegram, Slack, or a custom webhook) by sending a message describing what you want to scrape or screenshot (e.g., "Take a screenshot of n8n.io and tell me the main heading", or "Scrape the latest blog post from example.com").
  5. Receive AI Response: The AI will process your request, interact with the web, and respond with the requested information or a confirmation.

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