Scrape Financial Data from Yahoo! Finance with Python

In this video, we'll see how you can scrape financial data from Yahoo! Finance using Python and the yfinance library. After watching this video, you should be able to implement web scraping for many types of stock market data such as : - stock prices, - intraday trading data, - option prices; company disclosures and information such as : - financial information, - earnings, - analyst ratings and recommendations, - insider trades, - SEC filings, - news, - large shareholders; ETF and mutual fund information such as: - bond and stock holdings caracteristics, - top portfolio holdings; and also sector-specific and industry-specific information. All that data can easily be extracted as strings for text data and as pandas dataframes for structured data. 👍 Please like if you found this video helpful, and subscribe to stay updated with my latest tutorials. 🔔 ❤️ You can support this channel by buying me a ☕: https://buymeacoffee.com/codesfinance 🔗 Video links: Yahoo! Finance: https://finance.yahoo.com/ yfinance: https://yfinance-python.org/index.html 🐍 More Vincent Codes Finance: - ✍🏻 Blog: https://vincent.codes.finance - 🐦 X: https://twitter.com/CodesFinance - 🧵 Threads: https://www.threads.net/@codesfinance - 😺 GitHub: https://github.com/Vincent-Codes-Finance - 📘 Facebook: https://www.facebook.com/people/Vincent-Codes-Finance/61559283113665/ - 👨‍💼 LinkedIn: https://www.linkedin.com/company/vincent-codes-finance/ - 🎓 Academic website: https://www.vincentgregoire.com/ 🔖 Chapters: 00:00 Introduction 01:00 Installing yfinance 02:25 Loading Market Data 03:24 Company Information 04:47 Intraday Market Data 05:16 Balance Sheet, Options, News 06:25 Analyst, Earnings, ESG 07:25 Insiders, Institutional Holders 08:43 Funds and ETFs 11:04 Sectors and Industries #webscraping #secedgar #stocks #options #financials #scraping #python #yahoofinance #yfinance #programming #code #nlp #opensource #pandas #bigdata #research #researchtips #vscode #professor #datascience #dataanalytics #dataanalysis #financialrecords #financialreporting #annualreport #earningsreport #earnings