n8n AI Agent with Firecrawl

In this project, I demonstrate how to build a powerful no-code AI agent using Firecrawl’s new /search endpoint. This agent can search the entire web, scrape content, and even take full-page screenshots—all without writing a single line of code.

Project Objective

The goal is to create a fully automated system that can perform real-time web searches, filter content, scrape pages in multiple formats, and capture screenshots. This AI-powered agent is ideal for research, data aggregation, and modern automation workflows.

Steps Involved:

Search Automation with Firecrawl:

Content Scraping:

Screenshot Capture:

Workflow Integration:

Use Cases:

This system is perfect for building:

Example Workflow:

Let’s say you want to track news articles about "AI policy" published this week, excluding Reddit and Twitter. The Firecrawl agent searches for relevant content, scrapes the articles in Markdown for readability, and stores them in Notion or Google Docs—while capturing a screenshot of the source page for context.

Results:

By using Firecrawl’s capabilities in a no-code stack, you gain access to powerful web intelligence tools without needing to write or maintain any code. It's flexible, fast, and fits seamlessly into your AI workflows.