A simple web scraper in Python and Jupyter Notebook
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Updated
Apr 24, 2022 - Jupyter Notebook
A simple web scraper in Python and Jupyter Notebook
Jupyter Notebooks of Data Scraping tasks (for practice purposes only)
It is a jupyter notebook , that is scraping "cocooncenter", an e-commerce website.
Contains Selenium Webdriver web scrapers for IMDb and BestBuy. Scrapers aren't automated. The scraping processes were done in interactive Jupyter Notebook instances in a semi-supervised manner.
In this project, we employ the BeautifulSoup4 package in Python Jupyter Notebook to scrape data from the Cambridge Dictionary website. Subsequently, we refine and organize the scraped data to construct a custom dictionary.
This project is a comprehensive web scraping application designed to collect product data from a specified e-commerce website. The project consists of two main Jupyter notebooks: URLS Scraper.ipynb and Product Scraper.ipynb.
This project aims to reverse-engineer the ChatBabu website by scraping its data and interacting with its API using Python. The notebook demonstrates how to send requests to ChatBabu's endpoints and process the returned data.
Jupyter Notebook Web Scraper built with BeautifulSoup and Selenium for static and dynamic scraping.
Docker container image built with Jupyter Notebook and Tabula for PDF scraping
Jupyter notebook tutorials in Digital Humanities, 3 tutorials were downloaded Digital Sinology written by Donald Sturgeon. Other tutorials would be written by myself.
💎 Scraper for scraping data from https://www.notebooksbilliger.de/
This notebook includes data scraping. For this beautifulsoup and selinium is used. It takes a website URL as an input and extracts the information listed below as an output from that webpage. For this beautifulsoup and selinium is used 1. Specific HTML tags along with titles and meta description 2. Extract specific tags, heading tags from h1-h6 …
GMDB is the ultra-simple, cross-platform Movie Library with Features (Search, Take Note, Watch Later, Like, Import, Learn, Instantly Torrent Magnet Watch)
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