quaintitative

I write about my explorations in AI and other quaintitative areas.

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This is a short and sweet writeup on one way of downloading data from Google Trends, which can be useful for spotting or monitoring trends. I use the library made available here. First, install pytrends.

pip install pytrends

The steps thereafter are simple. Say, we want to find trends relating to the cashtags of specific stocks, we can just run these steps.

selected_ticker = ['$AAPL']
sel_ticker_trends = pytrends.get_historical_interest(selected_ticker, 
                                                year_start=2020, month_start=1, day_start=1, hour_start=0, 
                                                year_end=2020, month_end=1, day_end=2, hour_end=0, 
                                                cat=0, geo='', gprop='', sleep=60)

Or if we want to find trends relating to specific keywords.

kw_list = ['singapore', 'singaporean']
keyword_trends = pytrends.get_historical_interest(kw_list, 
                                            year_start=2021, month_start=1, day_start=1, hour_start=0, 
                                            year_end=2021, month_end=1, day_end=2, hour_end=0, 
                                            cat=0, geo='', gprop='', sleep=60)

The notebook here has the full code.

And that’s it. Happy data explorations!


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Extracting and Processing Google Trends data
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Introduction to PoseNet with three.js
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Logistic Regression Classification in plain ole Javascript
Introduction to Machine Learning Right Inside the Browser
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Setting Up a Data Lab Environment - Part 6
Setting Up a Data Lab Environment - Part 5
Setting Up a Data Lab Environment - Part 4
Setting Up a Data Lab Environment - Part 3
Setting Up a Data Lab Environment - Part 2
Setting Up a Data Lab Environment - Part 1
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3 Days of Hand Coding Visualisations - Day 1
3 Days of Hand Coding Visualisations - Introduction