Web Scraper and Metadata Analyzer

This project provides tools for web scraping, data cleaning, and metadata analysis using Ollama with qwen2:1.5b and Crawl4AI. It enables efficient content extraction techniques.

Features

• Web scraping with crawl4ai using multiagent agents for content extraction
• Data cleaning for extracted metadata
• Metadata analysis for SEO insights

Tools

1. WebScraperTool: Extracts title, description, and keywords from web pages.
2. DataCleanerTool: Cleans and formats the extracted metadata.
3. MetadataAnalyzerTool: Analyzes the cleaned metadata to extract insights.

Requirements

• Python 3.10+
• crawl4ai
• pydantic
• praisonai_tools
• ollama

Installation

1. Clone the repository: https://github.com/varunsaagar/crawlwithagents.git and cd crawlwithagents

2. Create and activate a virtual environment:

python -m venv venv source venv/bin/activate

On Windows, use venv\Scripts\activate.bat

On Mac, use venv/bin/activate

On Linux, use source venv/bin/activate

3. Install dependencies:

pip install -r requirements.txt

4. Run the main script:

python crawler.py

or

The tools can be executed from the command line. Here's how to run each tool:

Web Scraper Tool

This tool scrapes the title, description, and keywords from a specified URL.

bash python -m praisonai_tools.tools.web_scraper_tool.web_scraper_tool --url "https://example.com"

Data Cleaner Tool

This tool cleans and formats the raw metadata extracted by the Web Scraper Tool.

bash python -m praisonai_tools.tools.data_cleaner_tool --input "path/to/raw_data.json"

Metadata Analyzer Tool

This tool analyzes the cleaned metadata to provide insights such as title length, description length, and keyword analysis.

bash python -m praisonai_tools.tools.metadata_analyzer_tool --input "path/to/cleaned_data.json"

Configuration

The tools are configured to work with the crawl4ai library and the Ollama model. You can modify the extraction strategy and other parameters in the script.

Contributing

Contributions to this project are welcome. Please fork the repository and submit a pull request with your changes.

Credits

Special thanks to the following resources and individuals:

• Crawl4ai for the library.
• Agents Wraper for Crawl4ai for the agents wrapper.
• Ollama for the Ollama Framework.

Contact

For any queries or technical support, please contact varunsaagar.