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Gather Tons of Financial Data With Python APIs (Safely)
Pull huge datasets with Python APIs without getting blocked
Say you want to find out how the creative industry is doing post-AI. Maybe you even want to know how it fared in other disruptive times. You put together a list of companies in the creative sector — Netflix, Warner Bros, Spotify, Adobe, and so on.
You have established a long list of companies in this sector, and now you just need their financial data to figure out how well (or unwell) they’re doing these days. The quickest way to get this data is through APIs like yfinance and others. You start building your data pipeline. But before you realize it, you’ve hit the limit and are asked to pay—or are blocked entirely.
Ew. Your project is dead in the water.
Financial APIs are powerful, but they come with strict limitations on how much data you can pull at once. If you hit those limits too often, you’ll find yourself getting throttled, banned, or forced onto an expensive premium plan.
It’s fine that these data providers charge for their services — they need to keep the lights on too. Often, however, you’re not getting half of what you could be on the free tier. Tooling around the free tier can be complex and require plenty of knowledge and research.
