These can be very useful for presentations because they’re so easy to read. It shows you how well your queries are performing over time or for different reasons, allowing for easy-to-interpret visualizations. Trends (number of hits) over the time as well as geographic representation of the results can be displayed. This is because the data collected from Google Trends is in the time zone UTC, whereas the data displayed in the Google Trends user interface uses the time. Instead, it reports an index ranging from 0-100 for user interest based on normalized data for the selected location and time. When it comes to picking a title for your article, for example, you can see if people are more like to search for, “tips”, “tricks”, or, “hacks” and make your decision based on which term has the highest traffic.Ĭompelling Visuals: Google Trends isn’t complicated by an abundance of resources. Title Perform and Display Google Trends Queries Version 1.5.1 Description An interface for retrieving and displaying the information returned online by Google Trends is provided. Introduced in 2006, Google Trends shows the relative popularity of trending search queries on Google Search across geographical areas and in a variety of. The Google Trends graph that displays Interest Over Time for a particular topic or term does not represent search volume numbers. What are the most common uses cases of this API?Ĭontent Inspiration: By studying the related queries and focusing on those that are breakouts, you can be inspired to create new content that speaks to what people are clamoring for at the moment.Ĭomparing Topics: Being able to compare topics quickly can have many useful applications. You can learn more about the dataset here, check out the Looker dashboard. At the end of the function, you need to return the data that is located by the passed key, if any: return resultskey if not results'error' else results'error' The complete function to scrape Google Trends. The Trends data allows users to measure interest in a particular topic or search term across Google Search, from around the United States, down to the city-level. search GoogleSearch(params) where data extraction happens on the SerpApi backend results search.getdict() JSON -> Python dict. Just pass the search term that you want to compare, and extract data to know what is the most popular topic through time and also, by region. The Google Trends dataset represents the first time we’re adding Google-owned Search data into the program.

What this API receives and what your API provides (input/output)? Be able to recognize trends not only live but also through time and regions. Interest over time Google Trends captures online interest in certain keywords or topics over a given period of time. In the 'Compare' box, search for another term. Google Trends allows you to know what is the most trending topic on Google Search at the moment. You can find 'Interest by region' charts for specific time preiods.

Google trends data interest over time