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Google Trends in Python Without the 429s: Momentum, Breakouts and a Weekly Trend Alert

Google Trends is one of the most useful free datasets on the internet: it shows what people are searching for, how that changes over time, and where. It's also one of the most annoying to use from code. There's no official public API, and the popular unofficial route (libraries like pytrends that call the Trends website's internal endpoints) regularly hits HTTP 429 "too many requests" errors,…

Google Trends is a valuable free dataset that shows the popularity of search terms over time, but it can be difficult to use from code due to HTTP 429 errors from libraries like pytrends. This article covers how to effectively use Trends data, including understanding what the values mean, turning raw series into signals, and reliably obtaining the data using the Google Trends API.

Brief written by urgent.news from Dev.to's own syndicated text. Machine-written — may contain errors; check the original before relying on it.

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