https://github.com/doridoro/book_to_scrape

Project 2 of Openclassrooms Path - Book to Scrape -- extract certain information of http://books.toscrape.com/index.html into a csv file
https://github.com/doridoro/book_to_scrape

console-tool csv-export python3 webscraping

Last synced: about 1 year ago
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Project 2 of Openclassrooms Path - Book to Scrape -- extract certain information of http://books.toscrape.com/index.html into a csv file

• Host: GitHub
• URL: https://github.com/doridoro/book_to_scrape
• Owner: DoriDoro
• Created: 2022-12-03T18:43:33.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2024-03-09T09:16:59.000Z (over 2 years ago)
• Last Synced: 2025-02-13T12:18:48.771Z (over 1 year ago)
• Topics: console-tool, csv-export, python3, webscraping
• Language: Python
• Homepage:
• Size: 112 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Book to Scrape

## Description:

Project 2 of OpenClassrooms Path: Developer Python - Book to Scrape 

-- extract certain information of http://books.toscrape.com into a csv file:

- product_page_url

- universal_ product_code (upc)

- title

- price_including_tax

- price_excluding_tax

- number_available

- product_description

- category

- review_rating

- image_url

These information should be extracted for each single book. Organised in the category on the website.

**An improved version (2.0) is available in branch `dev/version-2.0`**

## Installation:

open terminal

1. `git clone https://github.com/DoriDoro/Book_to_Scrape.git`

2. `cd Book_to_Scrape`

3. `python -m venv venv`

4. `. venv/bin/activate` (on MacOS/Linux)  `venv\Scripts\activate` (on Windows)

5. `pip install -r requirements.txt`

## Skills:

- Configuring a Python environment

- Managing data using the ETL process

- Using version control with Git and GitHub

- Applying the basics of Python programming

## Visualisation of the project:

start the program with `python3 main.py`

in terminal you will see: 


![terminal](/images_Readme/Terminal.png)

the results are visible in following folders:

1. the results of the images: 


![images](/images_Readme/ResultsImages.png)

2. the csv files: 


![csv](/images_Readme/ResultsResults.png)