httpclientvsralger
HTTPClient is a Ruby gem that provides a simple and flexible interface for making HTTP requests. It's a full-featured HTTP client library with support for cookies, redirects, proxy, and more. It's built on top of the libwww-perl library, which is a widely-used, robust and well-documented library.
Features:
- methods like GET/HEAD/POST/* via HTTP/1.1.
- HTTPS(SSL), Cookies, proxy, authentication(Digest, NTLM, Basic), etc.
- asynchronous HTTP request, streaming HTTP request.
- debug mode CLI.
- by contrast with net/http in standard distribution;
- Cookies support
- MT-safe
- streaming POST (POST with File/IO)
- Digest auth
- Negotiate/NTLM auth for WWW-Authenticate (requires net/ntlm module; rubyntlm gem)
- NTLM auth for Proxy-Authenticate (requires 'win32/sspi' module; rubysspi gem)
- extensible with filter interface
- you don't have to care HTTP/1.1 persistent connection (httpclient cares instead of you)
ralger is a small web scraping framework for R based on rvest and xml2.
It's goal to simplify basic web scraping and it provides a convenient and easy to use API.
It offers functions for retrieving pages, parsing HTML using CSS selectors, automatic table parsing and auto link, title, image and paragraph extraction.
Example Use
require 'httpclient'
client = HTTPClient.new
# GET requests
response = client.get("http://httpbin.org/get")
puts response.content
# POST requests
data = { name: "value" }
response = client.post("http://httpbin.org/post", data)
puts response.content
library("ralger")
url <- "http://www.shanghairanking.com/rankings/arwu/2021"
# retrieve HTML and select elements using CSS selectors:
best_uni <- scrap(link = url, node = "a span", clean = TRUE)
head(best_uni, 5)
#> [1] "Harvard University"
#> [2] "Stanford University"
#> [3] "University of Cambridge"
#> [4] "Massachusetts Institute of Technology (MIT)"
#> [5] "University of California, Berkeley"
# ralger can also parse HTML attributes
attributes <- attribute_scrap(
link = "https://ropensci.org/",
node = "a", # the a tag
attr = "class" # getting the class attribute
)
head(attributes, 10) # NA values are a tags without a class attribute
#> [1] "navbar-brand logo" "nav-link" NA
#> [4] NA NA "nav-link"
#> [7] NA "nav-link" NA
#> [10] NA
#
# ralger can automatically scrape tables:
data <- table_scrap(link ="https://www.boxofficemojo.com/chart/top_lifetime_gross/?area=XWW")
head(data)
#> # A tibble: 6 × 4
#> Rank Title `Lifetime Gross` Year
#> <int> <chr> <chr> <int>
#> 1 1 Avatar $2,847,397,339 2009
#> 2 2 Avengers: Endgame $2,797,501,328 2019
#> 3 3 Titanic $2,201,647,264 1997
#> 4 4 Star Wars: Episode VII - The Force Awakens $2,069,521,700 2015
#> 5 5 Avengers: Infinity War $2,048,359,754 2018
#> 6 6 Spider-Man: No Way Home $1,901,216,740 2021