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gtrendshealth: Query the Google Trends for Health API

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Overview

This package connects to the Google Trends for Health API to query Google Trends for projects authorized to use the health research data. It fetches a graph of search volumes per time within a set of restrictions. Each term will result in a timeline of search over time. Note the data is sampled and Google can’t guarantee the accuracy of the numbers. This service is closed to a subset of Health researchers. The quota provision is individually maintained by the Trends team.

You will need an API key from your Google Developer project authorized for Google Trends for Health API use. A key can be acquired by requesting access at https://support.google.com/trends/contact/trends_api and following the setup instructions.

Usage

After receiving access to the Google Trends for Health API and setting up your Google Developer project, generate an API key, and set it up for use in your R installation:

library(package = "gtrendshealth")

set_gt_api_key(
  key = "{your-key}",
  install = TRUE
)

By default, the key is installed in the .Renviron file in your home folder, and will be loaded into the GOOGLE_TRENDS_FOR_HEALTH_API_KEY environment variable every time you start R. If you only want the key for the active session, use install = FALSE.

library(package = "gtrendshealth")

# Query the Google Trends for Health service
monthly_trends <- get_health_trends(
  terms = "fever",
  resolution = "month",
  start = as.Date("2024-01-01"),
  end = as.Date("2024-12-31"),
  country = "US"
)

# set a date for each monthly observation
# using the 15th of each month for the day
monthly_trends$date <- as.Date(
  strptime(
    paste("15", monthly_trends$period),
    format = "%d %b %Y"
  )
)

head(monthly_trends)

# Query the Google Trends for Health service
daily_trends <- get_health_trends(
  terms = "fever",
  resolution = "day",
  start = as.Date("2024-01-01"),
  end = as.Date("2024-12-31"),
  country = "US"
)

head(daily_trends)

# plot the time series
plot(
  daily_trends$date, daily_trends$value, type = "l", col = "blue",
  xlab = "Date",
  ylab = "Value",
  main = "Daily and Monthly Trends for Fever in the US, 2024"
)
lines(monthly_trends$date, monthly_trends$value, col = "red", lwd = 2)
legend("topleft", legend = c("Daily Trends", "Monthly Trends"),
       col = c("blue", "red"), lty = 1, lwd = c(1, 2))

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.