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Daily Google Trends data for 2 years

Google only gives daily data for ranges under 9 months. This stitches overlapping windows into one daily series for two years and checks it against Google's weekly numbers. This example uses 'bitcoin' in the US.

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Google Trends API & Scraper - pytrends alternative
Google Trends API & Scraper - pytrends alternativealom/google-trends-scraper
Search term
Interest over time timeline data
Text
Number
Boolean
List
Object

Input

Search terms:bitcoin
Location:US
Custom time range:2024-10-01 2026-09-30
Daily data for long ranges:true

Output fields

Search term
Interest over time timeline data

How it works

Sign up on Apify or log in

The Google Trends API & Scraper - pytrends alternative Actor is ready to run with the inputs already set for "Daily Google Trends data for 2 years". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Daily Google Trends data for 2 years" task

The Google Trends API & Scraper - pytrends alternative Actor will start running based on the input automatically. You can also change all the input fields, like search terms, location, and more, to match your specific use case.

Receive the "Daily Google Trends data for 2 years" 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 search term and interest over time timeline data.

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 "Daily Google Trends data for 2 years" task via API.

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