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Data variation/mismatch?

See original GitHub issue

The data returned by google-trends-api does not fully align with the same queries performed on Google Trends. Is this an inherent issue with scraping data from GTrends, or is the data modified in some way?

Issue Analytics

State:
Created 5 years ago
Comments:9 (2 by maintainers)

Top GitHub Comments

4reactions

Salompascommented, Jan 30, 2019

I am facing the same issue. I collected the data by specifying two time intervals: 2007-01-01 2007-08-01 and 2007-07-01 2008-02-01. The two calls result in daily search volume data, with 1 month (July) of overlapping data. Comparing the data side by side, I get: screen shot 2019-01-30 at 4 29 08 pm The left-column comes from the data corresponding to the interval 2007-01-01 2007-08-01, while the second column comes from the data corresponding to the interval 2007-07-01 2008-02-01. They are queries for the same keyword (PROFITABLE BUSINESS), but yield very different values on the same day. I was expecting to find non-zeros at the same days, but there are days where one of the values is very positive and the other is zero, and vice-versa. This makes scaling the data a non-trivial issue.

Any ideas on how to deal with this?

3reactions

thabblegitcommented, Jan 19, 2019

Figured out the issue. Google seems to calculate the data based on the period supplied. Default for API is 2004. If you supply a start date of today-12 months, the data will match.

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