![]() API keys and username:password combos can be combined within a url for a call to a web resource, or can be specified via commands in Additionally, sometimes web resources that require authentication be in the header of an http call, which requires a little bit of extra work. ![]() : Using web resources can require authentication, either via API keys, OAuth, username:password combination, or via other means. That package also includesįor downloading/caching plain-text data from non-public Dropbox folders andįor downloading/caching Excel xlsx sheets. TheĬan load and cache plain-text data from a URL (either http or https). Read.table(text=.), or you can download the file to a local directory.įunction that can read a number of common data formats directly from an URL. RCurl::getURL) to first read the file into R as a character vector before parsing with Read.csv(), and friends, again assuming that the files are not hosted via SSL. Tabular data sets (e.g., txt, csv, etc.) can be input using For SSL, theĭownload.file(), and takes all the same arguments. Is a general purpose function that can be used to download a remote file. Many base R tools can be used to download web content, provided that the website does not use SSL (i.e., the URL does not have the “https” prefix). ![]() To make it easy to express common web scraping tasks. That turns web pages into structured and clean text.Īnother, higher-level alternative package useful for webscraping is To access a webpage’s Document Object Model (DOM).įor capturing static content of web pages That vouches to be a lightweight altnernative. An alternative to the former two packages is ) provides a “pipe”-oriented interface to the same. It can also aid in automated application testing, load testing, and web scraping. It provides a set of bindings for the Selenium 2.0 webdriver using the Provides a mechanism for caching HTTP requests.įor dynamically generated webpages (i.e., those requiring user interaction to display results),Ĭan be used to automate those interactions and extract page contents. Provides simplified tools to ping and time HTTP requests, around Provides a high-level package that is useful for developing other API client packages. Is another low-level package for HTTP requests that implements the GET, POST and multipart POST verbs, but we do not recommend its use. Of the two low-level curl clients, we recommend using For more specific situations, the following resources may be useful: Read.csv this also applies to functions in add-on packages such as For websites serving insecure HTTP (i.e. using the “http” not “https” prefix), most R functions can extract data directly, including Is an SSL-compatible replacement for base R’sĪnd has support for http 2.0, SSL (https, ftps), gzip, deflate and more. curl may be useful for operations on web-based XML or to perform FTP operations (as crul and httr are focused primarily on HTTP). Is a lower-level package that provides a closer interface between R and the Note that you can pass in additional curl options when you instantiate R6 classes in crul, and the Provides more of a user facing client for HTTP requests and differentiates from the former package in that it provides support for OAuth. crul targets R developers more so than end users. Webmockr, and request caching for unit tests via Is an R6-based HTTP client that provides asynchronous HTTP requests, a pagination helper, HTTP mocking via There are three main packages that should cover most use cases of interacting with the web from R. If you have an issue with one of the packages discussed below, please contact the maintainer of that package. If you have any comments or suggestions for additions or improvements for this Task View, go to GitHub and Provides further discussion of online data sources that can be accessed from R. A list of available packages and functions is presented below, grouped by the type of activity. This task view focuses on packages for obtaining web-based data and information, frameworks for building web-based R applications, and online services that can be accessed from R. ![]() Thankfully, there are an increasingly large number of tools for interacting with the web. The base version of R does not ship with many tools for interacting with the web. This Task View contains information about to use R and the world wide web together.
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