Broken for short timeframe - question for experts about pytrends HOT 4 OPEN

Use category number and Timestamp along with date start and end will work

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Many thanks @praburamWAPKA it saved my day. It works by setting the timeframe on this format "YYYY-MM-DDT00 YYYY-MM-DDT01" and cat=0 and tz=0;

I still wonder my self what is the best window in time to observe a trend (at the regional DMA level).

Let's take an example:

A trend X appeared yesterday (Day D-1).

A typical trend graph shape seems to be: flat then big peak the day of trend then going flat. It is even true for big international events, things seems to be interesting for people one day, two days at the best and then disappear in the search on Google.

My feeling is I can "observe" the date on the last 7 days to have a 'good' view of the trend repartition on regional level.

The pure logical way to do it would be to 'observe the data for the day it appears from D-1 T 00 to D T 00 but I get a lot of 429 error if I try this.

What folks do you think from this window (7 days) approach to analyse the data ?

Thanks by advance

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right now 7 days only working

from pytrends.

I make it works for last day but it seems hazardous.

Also there is a bug in this line:

You have to remove self.geo == 'US' and if you want GEO different than US, in my case FR

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