Package: urlparse 0.2.1

urlparse: Fast Simple URL Parser

A fast and simple 'URL' parser package for 'R'. This package provides functions to parse 'URLs' into their components, such as scheme, user, password, host, port, path, query, and fragment.

Authors:Dyfan Jones [aut, cre]

urlparse_0.2.1.tar.gz
urlparse_0.2.1.zip(r-4.7)urlparse_0.2.1.zip(r-4.6)urlparse_0.2.1.zip(r-4.5)
urlparse_0.2.1.tgz(r-4.6-x86_64)urlparse_0.2.1.tgz(r-4.6-arm64)urlparse_0.2.1.tgz(r-4.5-x86_64)urlparse_0.2.1.tgz(r-4.5-arm64)
urlparse_0.2.1.tar.gz(r-4.7-arm64)urlparse_0.2.1.tar.gz(r-4.7-x86_64)urlparse_0.2.1.tar.gz(r-4.6-arm64)urlparse_0.2.1.tar.gz(r-4.6-x86_64)
urlparse_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
urlparse/json (API)
NEWS

# Install 'urlparse' in R:
install.packages('urlparse', repos = c('https://dyfanjones.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/dyfanjones/urlparse/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cppurlurl-parserurlparsercpp

3.54 score 7 stars 2 scripts 118 downloads 14 exports 1 dependencies

Last updated from:62d5193b3a. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK110
linux-devel-x86_64OK111
source / vignettesOK150
linux-release-arm64OK122
linux-release-x86_64OK101
macos-release-arm64OK93
macos-release-x86_64OK197
macos-oldrel-arm64OK85
macos-oldrel-x86_64OK183
windows-develOK115
windows-releaseOK94
windows-oldrelOK93
wasm-releaseOK95

Exports:set_fragmentset_hostset_passwordset_pathset_portset_queryset_schemeset_userurl_buildurl_decoderurl_encoderurl_modifyurl_parseurl_parse_v2

Dependencies:Rcpp

Readme and manuals

Help Manual

Help pageTopics
Escape characters for use in URLs.encoding url_decoder url_encoder
Builds a URL string from its components.url_build
Modifies a URL string by updating its components.set_fragment set_host set_password set_path set_port set_query set_scheme set_user url_modify
Parses a URL string into its components.url_parse
Parses a vector URLs into a dataframe.url_parse_v2