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Coffee vs tea in Google Trends, US, last 12 months

Google Trends interest over time for coffee against tea in the United States over the last 12 months, the same numbers the explore page shows, with the averages, interest by state and related queries. Put any 2 to 5 terms in the comparison.

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Google Trends Scraper: Interest, Related and Trending Now
Google Trends Scraper: Interest, Related and Trending Nowagenttoolworks/google-trends-scraper
Query
Location
Date (UTC)
Period
+5 fields
Text
Number
Boolean
List
Object

Input

Comparisons:coffee, tea
Location:US
Time range:today 12-m

Output fields

Query
Location
Date (UTC)
Period
Term
Interest
Partial
Has data
Interest over time

How it works

Sign up on Apify or log in

The Google Trends Scraper: Interest, Related and Trending Now Actor is ready to run with the inputs already set for "Coffee vs tea in Google Trends, US, last 12 months". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Coffee vs tea in Google Trends, US, last 12 months" task

The Google Trends Scraper: Interest, Related and Trending Now Actor will start running based on the input automatically. You can also change all the input fields, like comparisons, location, and more, to match your specific use case.

Receive the "Coffee vs tea in Google Trends, US, last 12 months" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as query, location, date (utc), and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Coffee vs tea in Google Trends, US, last 12 months" task via API.

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