There are some top-level categories, but they are not representative of the real interest and data. It means that was the most popular search in 2019 and that it hit its peak in June. When you see the red line on the chart reaching 100 in about June, it doesn’t mean there were 100 searches for that term in June. Forbes Baxter Associates explains this neatly: The data Google Trends shows you are relative, not absolute. Google returns a response with code 400 when a keyword is > 100 characters. So a small country where 80% of the queries are for “Google” will get twice the score of a giant country where only 40% of the queries are for that term. When using the interestbyregionmodule, a higher value means a higher proportion of all queries, not a higher absolute query count. This is something easily observable in the Google Trends UI, which sometimes offers several topics for the same phrase. Search terms and Topics are measured differently, so relatedTopics will not work with comparisons that contain both Search terms and Topics. Search terms and topics are two different things Before you begin you must be aware of these few things: 1. granularTimeResolution - Boolean that dictates if the results should be given in a finer time resolution (if startTime and endTime is less than one day, this should be set to true)Īre there any limitations to using the Pytrends Google Trends API?.resolution is specific to the interestByRegion method. resolution - Granularity of the geo search (enumerated string ).(enumerated string the latter relating to Google Shopping results) property - Google property to filter on.category - the category to search within ( number defaults to all categories).
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