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httpfulvsralger

MIT 89 4 1,739
4.7 thousand (month) Apr 14 2012 1.0.0(2 months ago)
152 1 3 MIT
Dec 22 2019 1.0 thousand (month) 2.2.4(3 years ago)

Httpful is a simple Http Client library for PHP 7.2+. There is an emphasis of readability, simplicity, and flexibility – basically provide the features and flexibility to get the job done and make those features really easy to use.

Features

  • Readable HTTP Method Support (GET, PUT, POST, DELETE, HEAD, PATCH and OPTIONS)
  • Custom Headers
  • Automatic "Smart" Parsing
  • Automatic Payload Serialization
  • Basic Auth
  • Client Side Certificate Auth
  • Request "Templates"

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 'vendor/autoload.php';

use Httpful\Request;

// make GET request
$response = \Httpful\Request::get("http://httpbin.org/get")
    ->send();
echo $response->body;

// make POST request
$data = array('name' => 'Bob', 'age' => 35);
$response = \Httpful\Request::post("http://httpbin.org/post")
    ->sendsJson()
    ->body(json_encode($data))
    ->send();
echo $response->body;

// add headers or cookies
$response = \Httpful\Request::get("http://httpbin.org/headers")
    ->addHeader("API-KEY", "mykey")
    ->addHeader("Cookie", "foo=bar")
    ->send();
echo $response->body;
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

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