/curl

A Modern and Flexible Web Client for R

Primary LanguageCOtherNOASSERTION

curl

A Modern and Flexible Web Client for R

AppVeyor Build Status CRAN_Status_Badge CRAN RStudio mirror downloads

The curl() and curl_download() functions provide highly configurable drop-in replacements for base url() and download.file() with better performance, support for encryption (https, ftps), gzip compression, authentication, and other libcurl goodies. The core of the package implements a framework for performing fully customized requests where data can be processed either in memory, on disk, or streaming via the callback or connection interfaces. Some knowledge of libcurl is recommended; for a more-user-friendly web client see the 'httr' package which builds on this package with http specific tools and logic.

Documentation

About the R package:

Other resources:

Hello World

There are three download interfaces (memory, disk and streaming). Always start by setting up a request handle:

library(curl)
h <- new_handle(copypostfields = "moo=moomooo")
handle_setheaders(h,
  "Content-Type" = "text/moo",
  "Cache-Control" = "no-cache",
  "User-Agent" = "A cow"
)

Perform request and download response in memory:

# Perform the request
req <- curl_fetch_memory("http://httpbin.org/post", handle = h)

# Show some outputs
parse_headers(req$headers)
cat(rawToChar(req$content))
str(req)

Or alternatively, write response to disk:

tmp <- tempfile()
curl_download("https://httpbin.org/post", tmp, handle = h)
readLines(tmp)

Or stream response via Connection interface:

con <- curl("https://httpbin.org/post", handle = h)
open(con)

# Get 3 lines
readLines(con, n = 3)

# Get remaining lines and close connection
readLines(con)
close(con)

Installation

Binary packages for OS-X or Windows can be installed directly from CRAN:

install.packages("curl")

Installation from source on Linux requires libcurl. On Debian or Ubuntu use libcurl4-openssl-dev:

sudo apt-get install -y libcurl-dev

On Fedora, CentOS or RHEL use libcurl-devel:

sudo yum install libcurl-devel

MacOS using curl from homebrew

On MacOS libcurl is included with the system, so usually nothing extra is needed. However if you want to build against the very most recent version of libcurl, which also has many extra features enabled (sftp, http2), install curl from homebrew and then recompile the R package.

brew install curl pkg-config

You need to set the PKG_CONFIG_PATH environment variable to help R find the non-default curl, when building from source. Run this in a clean R session which does not have the curl package loaded already:

Sys.setenv(PKG_CONFIG_PATH="/usr/local/opt/curl/lib/pkgconfig")
install.packages("curl", type = "source")

Afterwards confirm the version using curl::curl_version().

Development version

Because devtools and httr depend on curl, installing with install_github does not work well. The easiest way to install the development version of curl is a clean R session:

install.packages("https://github.com/jeroen/curl/archive/master.tar.gz", repos = NULL)

Of course windows users need Rtools to compile from source.