Amazon Scrapping

Scrapping the product lisitng✏️ using python programming language💻.

For new data generation Classification part we have writtern a python script to fetch📊, data from the 💻, Amazon website 🌐 and converted into csv files.

Introduction

Semi-supervised-sequence-learning-Project 💻 replication process is done over here and for further analysis creation of new data is required.

The following script includes the following.
scrapping.py - Script to scrap the data from Amazon website
Product label listing: Laptop, Phones, Printers, Desktops, Monitors, Mouse, Pendrive, Earphones, Smart TV, Power banks

Dependencies

Install Selenium using pip install -U selenium
Install Python 3 using the MSI available in python.org download page.
Load the drivers

 from selenium import webdriver
 
 browser = webdriver.Firefox()
 browser.get('http://selenium.dev/')

Selenium Server (optional)

 java -jar selenium-server-standalone-4.0.0.jar

Installation

1️⃣ Fork the Semi-supervised-sequence-learning-Project/ repository
Follow these instructions on how to fork a repository

2️⃣ Cloning the repository
Once you have set up your fork of the /Semi-supervised-sequence-learning-Project repository, you'll want to clone it to your local machine. This is so you can make and test all of your personal edits before adding it to the master version of /Semi-supervised-sequence-learning-Project.

Navigate to the location on your computer where you want to host your code. Once in the appropriate folder, run the following command to clone the repository to your local machine.

git clone https://github.com/sanjay-kv/Semi-supervised-sequence-learning-Project.git

Final Dataset

1️⃣ Here is the Link to Final Dataset: Drive Link