WebDataMiner 0.2

A web scraper that downloads tables, images, and text from a webpage

WebDataMiner

This project contains a Python script for a web scraper that extracts tables, images, and text from a given website.

Requirements

• Python 3.7 or later
• Selenium
• Beautiful Soup
• Pandas
• tqdm
• Requests

Installation

pip

pip install WebDataMiner

github

1. Clone this repository:

git clone https://gitlab.kaisens.fr/kaisensdata/apps/4inshield/drivers/generic-crawler/-/tree/asaid

2. Install the required Python packages:

pip install -r requirements.txt

Usage

1. Download the appropriate chromedriver for your system and add it to your system's PATH or specify the path when initializing the WebScraper class.

2. Use the following example code to run the scraper:

from WebDataMiner import WebScraper

chrome_driver_path = "<path_to_your_chromedriver>"
url = "https://example.com"
scraper = WebScraper(chrome_driver_path)
scraper.process_website(url)