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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.
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.
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
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
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.
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.
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