The Web Scraping Club Free Repository

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

My solutions to 2023 advent of code + web scraping

A webscraping finance Python library available on PyPi.

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

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

Automating real estate data entry job

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.

Gives Keyword suggestions and number of google search results

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

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

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.

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

Web scraping using python, BeautifulSoup, Selenium.

Hotel Booking Websites

The project uses BeautifulSoup to parse out seperate html strings, matplot lib to present the data in graphical format -- to determine which manufacturer and which models are successful at racing WSBK, so I can support that team hehe.Read READ ME in file

Learning how to do webscraping using python