Using Python and Google Big Query to Scale Google Trends in Near Real Time

by Hamlet Batista | December 02, 2020 | 0 Comments

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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Hamlet Batista

Chief Executive Officer

Hamlet Batista is CEO and founder of RankSense, an agile SEO platform for online retailers and manufacturers. He holds US patents on innovative SEO technologies, started doing SEO as a successful affiliate marketer back in 2002, and believes great SEO results should not take 6 months

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