Using Python and Google Big Query to Scale Google Trends in Near Real Time
If 2020 has taught us an SEO-specific lesson, it's that the intent and value of keywords can change rapidly as social situations develop. Things like a pandemic can make even a month old keyword data nearly useless. But what about events that are developing rapidly in real-time? Join Local SEO Guides Dan Leibson and Bryan Heckler to learn about how they built a solution to scale Google's Trends for millions of queries in near real-time to analyze data from the United States' 2020 election day.
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