firecrawl/examples/gpt-4.1-web-crawler

GPT-4.1 Web Crawler

A smart web crawler powered by GPT-4.1 that intelligently searches websites to find specific information based on user objectives.

Features

• Intelligently maps website content using semantic search
• Ranks website pages by relevance to your objective
• Extracts structured information using GPT-4.1
• Returns results in clean JSON format

Prerequisites

• Python 3.8+
• Firecrawl API key
• OpenAI API key (with access to GPT-4.1 models)

Installation

1. Clone this repository:

   git clone https://github.com/yourusername/gpt-4.1-web-crawler.git
   cd gpt-4.1-web-crawler
   

2. Install the required dependencies:

   pip install -r requirements.txt
   

3. Set up environment variables:

   cp .env.example .env
   

   Then edit the .env file and add your API keys.

Usage

Run the script:

python gpt-4.1-web-crawler.py

The program will prompt you for:

1. The website URL to crawl
2. Your specific objective (what information you want to find)

Example:

Enter the website to crawl: https://example.com
Enter your objective: Find the company's leadership team with their roles and short bios

The crawler will then:

1. Map the website
2. Identify the most relevant pages
3. Scrape and analyze those pages
4. Return structured information if the objective is met

How It Works

1. Mapping: The crawler uses Firecrawl to map the website structure and find relevant pages based on search terms derived from your objective.

2. Ranking: GPT-4.1 analyzes the URLs to determine which pages are most likely to contain the information you're looking for.

3. Extraction: The top pages are scraped and analyzed to extract the specific information requested in your objective.

4. Results: If found, the information is returned in a clean, structured JSON format.

License

MIT License

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.