AmirulAndalib / Webtrench

A powerful and easy-to-use web scrapper for collecting data from the web. Supports scraping of images, text, videos, meta data, and more. Ideal for machine learning and deep learning engineers. Download and extract data with just one line of code

Home Page:https://pypi.org/project/Webtrench/

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Webtrench

WebTrench provides a comprehensive and powerful toolkit for web scraping. Whether you're working on a machine learning project, conducting research, or simply need to gather data from the web, WebTrench is the perfect tool for the job. So why wait? Start using WebTrench today and streamline your data collection process!

pip install Webtrench

Check Documentation Here


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Why WebTrench

Easy to use: With its simple and intuitive interface, WebTrench makes it easy to extract data from the web. Comprehensive: WebTrench includes functions for extracting a wide range of data, from images to tables and beyond. Fast and efficient: WebTrench is designed to be fast and efficient, so you can quickly gather the data you need. Suitable for a variety of use cases: Whether you're working on a machine learning project, conducting research, or simply need to gather data from the web, WebTrench is a versatile tool that can meet your needs.

from Webtrench import ImageScrapper
url = 'https://example.com'
folder_path = './images'
ImageScrapper.all_image_from_url(url, folder_path)

This code snippet downloads an image from the URL https://example.com/image.jpg and saves it in the ./images folder with a random number as the file name.

Limitations of WebTrench

Depends on website structure: The success of web scraping with WebTrench depends on the structure of the website being scraped. If the website's structure changes, WebTrench may not work as expected. Legal restrictions: There may be legal restrictions on the use of web scraping, so it's important to familiarize yourself with the laws in your jurisdiction before using WebTrench.

Privacy Policy

WebTrench respects the privacy of its users and is committed to protecting their data. We do not collect or store any personal information, and all data collected through the use of WebTrench is kept confidential.

Web Scraping Ethics

When using WebTrench or any other web scraping tool, it's important to follow ethical guidelines and avoid scraping websites without the owner's permission. This includes websites that explicitly prohibit scraping, as well as websites that contain sensitive or confidential information.

Legal Warning

The use of web scraping may be subject to legal restrictions, and the legality of web scraping depends on the jurisdiction in which it is being used. Before using WebTrench, it's important to familiarize yourself with the laws in your jurisdiction and ensure that your use of the tool complies with all applicable laws. WebTrench cannot be held responsible for any illegal use of the tool.

Contributing Guide

We welcome contributions from the community! If you are interested in contributing to the WebTrench project, here are some guidelines to get started:

  • Check the issues page to see if there are any open bugs or features that you would like to work on.
  • Fork the repository and make your changes in a separate branch.
  • Once you have made your changes, submit a pull request for review.
  • The project maintainers will review your pull request and provide feedback. If necessary, make any requested changes and resubmit your pull request.
  • Once your pull request is approved and merged, you will become a contributor to the WebTrench project!

Project Clone Guide

If you would like to clone the WebTrench repository, follow these steps:

  • Install Git on your computer.
  • Open a terminal window and navigate to the directory where you would like to clone the repository.
  • Run the following command: git clone https://github.com/nuhmanpk/WebTrench.git
  • The repository will be cloned to your computer, and you can now make changes to the code and contribute to the project.

Reminder

Please note that WebTrench is currently in the pre-release stage and is not yet finished. If you encounter any issues, please check the issues page, or consider contributing to make a better version of WebTrench!

About

A powerful and easy-to-use web scrapper for collecting data from the web. Supports scraping of images, text, videos, meta data, and more. Ideal for machine learning and deep learning engineers. Download and extract data with just one line of code

https://pypi.org/project/Webtrench/

License:MIT License


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Language:Python 100.0%