The Web Scraping Club Free Repository

Data Science & Machine Learning Internship at Flip Robo Technologies

This Python script utilizes the Chromium to perform web scraping and data extraction from Google Maps via Google. It is particularly designed for obtaining information about businesses, including their name, address, website, phone number, reviews, social medias and more.

This repository contains Python code for web crawling. It is built using the BeautifulSoup library and allows you to extract text from web pages and store it in text files. The crawler can also extract hyperlinks from web pages and crawl them recursively.This code will be a great starting point for your own web scraping projects

Unlock the Power of Web Scraping with Beautiful Soup, Selenium, and More - All in One Repository!

This project involves web scraping Nike's product pages to extract product names, prices and links. The project showcases three different implementations of the web crawler using Selenium and BeautifulSoup. It also includes visualisation of the scraped data using Matplotlib and Seaborn.

A python parser to retrieve fake names from https://www.fakenamegenerator.com/

Web-scraper to find up-to-date internship opportunities in tech

A webscraping finance Python library available on PyPi.

My solutions to 2023 advent of code + web scraping

Analyzing smartphone specifications data extracted from GSMarena for insights into market trends, brand preferences, and technological advancements. Includes data extraction scripts, database storage, statistical analysis, and visualization tools.

Automating real estate data entry job

The Amazon Bestseller Scraper is a Python-based web scraping tool that allows you to extract product details from the Amazon Bestsellers Fashion page effortlessly. Whether you're a data enthusiast, an aspiring data scientist, or simply curious about the top fashion products on Amazon, this tool is designed to help you gather valuable insights.

Introduction: The "Bookstore Analytics" project involves the analysis of a dataset containing information about books available in an online bookstore. A web scraping application was build for this

Capstone project for the IBM Data Science Professional Certificate, analyzing SpaceX Falcon 9 launches using SQL, data visualization, and machine learning to predict the success of first-stage landings. Includes interactive dashboards and visual analytics.

Utilised the BeautifulSoup library in Python to scrape data from Internshala website.

Scrape text from a Blogger blog, extract the content and export into an HTML file that can be converted into an e-book.

A script that creates a spotify playlist with top 100 song of a date you choose

A simple AI recipe generator using ML and DL models 🍔🍨🍷