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

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

Automating real estate data entry job

A project made for practicing webscrapping with Python

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 🍔🍨🍷

Hotel Booking Websites

An automated amazon price tracker program that sends an email whenever a particular product is below set price.

This project extracts data through web scraping using Beautiful Soup and calculate parameters by analyzing the text present within a webpage

A webscraping application that brings search results from multiple web-stores onto one page. Also allows the user to add items to a shopping list to save for later.

Web scraping using python, BeautifulSoup, Selenium.

This project was created using Jupyter Notebook and used to web scraping data from Badan Nasional Penanggulangan Bencana (National Agency for Disaster Management) using Python BeatifulSoup library

Full Scale portfolio project used to aggregate sales data from the GSMLS (quarterly), clean and transform the data and store in a SQL database for future machine learning analysis

A script which scrapes the human-readable text from a web page and calls OpenAI's GPT-3 API to generate three descriptions of differing lengths, using the scraped text in the prompts. Has the option to abide by OpenAI's free account rate limiting when used on a CSV file of multiple URLs.