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ralgervshttp.rb

MIT 3 1 152
1.0 thousand (month) Dec 22 2019 2.2.4(3 years ago)
2,992 10 95 NA
Mar 20 2015 447 (month) 0.12.0(6 years ago)

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.

http is an HTTP library for Ruby, it's a fork of the Ruby standard library Net::HTTP. It is designed to provide a more modern and consistent API for making HTTP requests and handling responses.

One of the main goals of http is to simplify the process of making HTTP requests and handling responses. It provides a consistent API for making requests and handling responses across different versions of Ruby and different HTTP libraries, making it easier to write cross-compatible code.

http supports all the standard HTTP methods such as GET, POST, PUT, DELETE, and PATCH, and allows you to set headers, query parameters, and request bodies.

Example Use


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
require 'http'

# GET request
response = HTTP.get("http://httpbin.org/get")
puts response.body
puts response.status
puts response.headers

# POST request
response = HTTP.post("http://httpbin.org/post", json: { title: 'foo', body: 'bar', userId: 1 })
puts response.body

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