Package: PytrendsLongitudinalR
Type: Package
Title: Create Longitudinal Google Trends Data
Version: 0.1.4
Authors@R: c(
    person("Taeyong", "Park", email = "taeyongp@andrew.cmu.edu", role = c("cre", "cph", "aut")),
    person("Malika", "Dixit", email = "malikasatyendra@gmail.com", role = "aut"))
Description: 'Google Trends' provides cross-sectional and time-series
        data on searches, but lacks readily available longitudinal
        data. Researchers, who want to create longitudinal 'Google
        Trends' on their own, face practical challenges, such as
        normalized counts that make it difficult to combine
        cross-sectional and time-series data and limitations in data
        formats and timelines that limit data granularity over extended
        time periods. This package addresses these issues and enables
        researchers to generate longitudinal 'Google Trends' data. This
        package is built on 'pytrends', a Python library that acts as
        the unofficial 'Google Trends API' to collect 'Google Trends'
        data. As long as the 'Google Trends API', 'pytrends' and all
        their dependencies are working, this package will work. During
        testing, we noticed that for the same input (keyword, topic,
        data_format, timeline), the output index can vary from time to
        time. Besides, if the keyword is not very popular, then the
        resulting dataset will contain a lot of zeros, which will
        greatly affect the final result. While this package has no
        control over the accuracy or quality of 'Google Trends' data,
        once the data is created, this package coverts it to
        longitudinal data. In addition, the user may encounter a 429
        Too Many Requests error when using cross_section() and
        time_series() to collect 'Google Trends' data. This error
        indicates that the user has exceeded the rate limits set by the
        'Google Trends API'. For more information about the 'Google
        Trends API' - 'pytrends', visit
        <https://pypi.org/project/pytrends/>.
Encoding: UTF-8
Imports: lubridate, jsonlite, reticulate, utils
RoxygenNote: 7.3.2
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: MIT + file LICENSE
SystemRequirements: Python (>= 3.7), pip (for installing Python
        packages), pytrends, pandas, requests
Config/reticulate: list( virtualenv = "pytrends-in-r-new", packages =
        list( list(package = "pandas"), list(package = "requests"),
        list(package = "pytrends") ) )
NeedsCompilation: no
Packaged: 2026-07-06 08:53:54 UTC; root
Author: Taeyong Park [cre, cph, aut], Malika Dixit [aut]
Maintainer: Taeyong Park <taeyongp@andrew.cmu.edu>
Config/pak/sysreqs: python3
Repository: https://cran.r-universe.dev
Date/Publication: 2024-09-18 02:54:29 UTC
RemoteUrl: https://github.com/cran/PytrendsLongitudinalR
RemoteRef: HEAD
RemoteSha: a59cd3a6bb10ce41bb89a994d3b3b15575f39139