Frustrated by rate limits and high costs associated with traditional stock market APIs, the author decided to build a web scraping solution to analyze financial data. By utilizing sources like CNN Money and Yahoo Finance, the author created a scraper that could fetch real-time prices, trading volumes, and historical data without arbitrary restrictions. This project required setting up a basic infrastructure for web requests and garnered key insights into accessing financial data efficiently for personal analysis.
My breaking point came during a personal project where I was trying to analyze market trends. Yahoo Finance's API kept hitting rate limits.
I needed something that would let me fetch data without arbitrary limits and access historical data without paying premium fees.
After some research and experimentation, I settled on scraping data from two main sources: CNN Money for trending stocks and Yahoo Finance for detailed metrics.
I started with CNN Money's hot stocks list, which gives me three categories of stocks to track.
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