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

backend for "YangBA Data Fetcher" project

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

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

My solutions to 2023 advent of code + web scraping

A webscraping finance Python library available on PyPi.

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

Try simple web scraping on Hacker News, Empireonline website with BeautifulSoup and add titles to .txt file.

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

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

Gives Keyword suggestions and number of google search results

Hotel Booking Websites

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.

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