Google Trends data: what it measures, how to read it and how to extract it

Google Trends data is a sample of real Google searches, anonymized, categorized by topic and aggregated, and shown as relative interest on a 0–100 scale instead of search volume. These guides explain each Google Trends data type, each limit and each method, from the index to the 429 error, and how to extract the data with code.

Google Trends data illustration: a magnifying glass over a landscape of rising and falling interest curves

Google Trends data is a largely unfiltered sample of actual search requests made to Google, anonymized so no one is personally identified, categorized by topic and aggregated, according to Google Trends Help. Google normalizes it to the time and place of each request and scales it from 0 to 100, which makes it a measure of relative popularity from global down to city-level geography.

Google Trends data comes in 5 types, and each guide below covers one of them with the fields an API returns.

  1. Interest over time: the 0–100 series of a term across a time range.
  2. Interest by region: the ranking of countries, regions or US metros by share of searches.
  3. Related queries: top and rising searches around a term, with Breakout above +5,000%.
  4. Comparison: several terms on one scale, up to 8 groups in the new Explore.
  5. Trending Now: what a country searches right now, with an approximate volume bucket.

Google Trends data, explained attribute by attribute

Reading the data

  • Google Trends accuracy illustration: a precise sample of dots drawn from a huge crowd, with statistical noise

    Google Trends accuracy depends on sampling, privacy noise and a low-volume threshold, and holds best for popular terms and long ranges.

  • Google Trends index chart for sunscreen in the United States, with 100 marking the peak week

    The Google Trends index scores search interest from 0 to 100, where 100 is the peak, and it is not a search volume.

  • Google Trends topics illustration: word tiles in many languages drawn into one sphere that stands for a single concept

    Google Trends topics group every term with the same concept in any language, while search terms match exact words.

Data types

Methods and limits

Code and agents