WebAnalyzer: A Comprehensive Web Analysis Tool

Introduction

WebAnalyzer is a Python-based tool designed for in-depth web analysis, combining advanced crawling, scraping, and natural language processing to extract meaningful insights from websites. Whether you're working on data extraction, content analysis, or SEO optimization, WebAnalyzer offers a robust solution for automating and streamlining web-related tasks.

Features

Website Crawling: Efficiently crawl websites and navigate through pages to collect data.
Content Extraction: Scrape and extract meaningful information, including text, images, and metadata.
Natural Language Processing: Perform sentiment analysis, text summarization, and keyword extraction on scraped content.
Flexible and Modular: Built with modularity in mind, allowing customization for specific use cases.
Output Formats: Export the extracted data in various formats, including JSON and CSV.

Installation

Clone the repository and install the required dependencies:

git clone https://github.com/m-aliabbas/WebAnalyzer1.git
cd WebAnalyzer1
pip install -r requirements.txt

git clone https://github.com/m-aliabbas/WebAnalyzer1.git
cd WebAnalyzer1
pip install -r requirements.txt

Introduction

Features

Website Crawling: Efficiently crawl websites and navigate through pages to collect data.
Content Extraction: Scrape and extract meaningful information, including text, images, and metadata.
Natural Language Processing: Perform sentiment analysis, text summarization, and keyword extraction on scraped content.
Flexible and Modular: Built with modularity in mind, allowing customization for specific use cases.
Output Formats: Export the extracted data in various formats, including JSON and CSV.

Installation

Clone the repository and install the required dependencies:

git clone https://github.com/m-aliabbas/WebAnalyzer1.git
cd WebAnalyzer1
pip install -r requirements.txt

git clone https://github.com/m-aliabbas/WebAnalyzer1.git
cd WebAnalyzer1
pip install -r requirements.txt