Python Scripts and Jupyter Notebooks

用Jupyter Notebook演示如何从零搭建爬虫python教程，持续更新中……

DH Scraping and Analyzing the ASC database with Jupyter Notebooks

This project focuses on scraping data related to books by their genre from the "Books To Scrape" website; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.

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 …

NSE Data Fetch using BeautifulSoup, nsepy. Provides analysis of pe ratio, option chain, advance decline ratios

This repository contains all the projects of web scraping python coded jupyter notebook and and their data save in csv file.

A Jupyter Notebook-based workshop on web scraping in python

This repository contains introductory notebooks for text mining and web scrapping.

Web scraping using Jupyter Notebook, BeautifulSoup, Pandas, and Requests/Splinter. MongoDB with Flask templating to create a new HTML page

A list of resources and introductory notebooks for Web Scraping in Python using BeautifulSoup.

This notebook can be used to scrape a number of pages from a parent-website using proxy ip addresses and store the data in multiple/single csv files based on data size.

Analysis of COVID-19 data using python library pandas, matplotlib, beautiful soap, request, and seaborn. Build-ed Real-time notification system. You can view/edit my notebook from Kaggle: https://www.kaggle.com/harshkothari21/eda-on-covid-19-with-python?scriptVersionId=38870107

Jupyter Notebook Web Scraper built with BeautifulSoup and Selenium for static and dynamic scraping.

IMDb - Web Scraping and Jupyter notebook

This repo contains Report/Code/Notebooks of some of my projects

SEC Finance Data Engineering - ETL process for SEC Finance data of S&P 500 companies. Jupyter Notebooks to run ETL work flows. The final dataset is hosted in MongoDB Atlas(cloud). The API is written using Python with PyMongo and Flask libraries. The dashboards with charts are hosted in MongoDB Atlas.

Web scraping using Jupyter Notebook, Splinter and HTML parsing with Beautiful Soup. The data was then stored in MongoDB.

Project "Text Mining Female Masculinity in Sixteenth and Seventeenth-Century Britain" and other coursework from McGill Literary Text Mining graduate seminar. Uses Python, Jupyter Notebooks.