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83 lines
1.9 KiB
Markdown
83 lines
1.9 KiB
Markdown
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# GPT-4.1 Web Crawler
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A smart web crawler powered by GPT-4.1 that intelligently searches websites to find specific information based on user objectives.
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## Features
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- Intelligently maps website content using semantic search
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- Ranks website pages by relevance to your objective
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- Extracts structured information using GPT-4.1
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- Returns results in clean JSON format
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## Prerequisites
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- Python 3.8+
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- Firecrawl API key
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- OpenAI API key (with access to GPT-4.1 models)
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## Installation
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1. Clone this repository:
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```
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git clone https://github.com/yourusername/gpt-4.1-web-crawler.git
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cd gpt-4.1-web-crawler
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```
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2. Install the required dependencies:
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```
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pip install -r requirements.txt
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```
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3. Set up environment variables:
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```
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cp .env.example .env
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```
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Then edit the `.env` file and add your API keys.
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## Usage
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Run the script:
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```
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python gpt-4.1-web-crawler.py
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```
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The program will prompt you for:
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1. The website URL to crawl
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2. Your specific objective (what information you want to find)
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Example:
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```
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Enter the website to crawl: https://example.com
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Enter your objective: Find the company's leadership team with their roles and short bios
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```
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The crawler will then:
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1. Map the website
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2. Identify the most relevant pages
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3. Scrape and analyze those pages
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4. Return structured information if the objective is met
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## How It Works
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1. **Mapping**: The crawler uses Firecrawl to map the website structure and find relevant pages based on search terms derived from your objective.
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2. **Ranking**: GPT-4.1 analyzes the URLs to determine which pages are most likely to contain the information you're looking for.
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3. **Extraction**: The top pages are scraped and analyzed to extract the specific information requested in your objective.
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4. **Results**: If found, the information is returned in a clean, structured JSON format.
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## License
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[MIT License](LICENSE)
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## Contributing
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Contributions are welcome! Please feel free to submit a Pull Request.
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