Image-Scraping-using-BeautifulSoup-Model-Part2

Image Scraping Project using BeautifulSoup

1. Introduction:

The purpose of this project is to scrape images from a given website using the BeautifulSoup library in Python. The project involves using the requests library to fetch the HTML content of the web page, and then parsing it using BeautifulSoup to extract image URLs. The project aims to automate the process of collecting images from a website, which can be useful for various purposes like data collection, image analysis, or creating image datasets.

2. Project Setup:

To run this project, you need to have Python installed on your system and the following libraries installed using pip:

• requests
• logging
• BeautifulSoup

You can install these libraries using the following command:

pip install requests beautifulsoup4

Packages to be installed

The packages that are to be installed is written in requirements.txt file.

How to run this project

Step 1 : Open terminal and clone the repository : git clone https://github.com/devika-be/Image-Scraping-using-BeautifulSoup-Model-Part2.git
Step 2 : In the terminal, go to the location where the repo is saved.
Step 3 : Run python application.py from the terminal.

5. Conclusion:

The image scraping project using BeautifulSoup allows you to quickly and efficiently collect images from a website. This report provides an overview of the project's setup, implementation steps, and usage instructions. You can further enhance this project by adding error handling, implementing pagination support for multiple pages, or using multithreading to improve performance when dealing with a large number of images.

Happy scraping!