Skip to content

buzzvsralger

MIT 11 2 1,919
5.6 thousand (month) Nov 11 2011 1.2.1(2 years ago)
153 1 3 MIT
Dec 22 2019 876 (month) 2.2.4(3 years ago)

Buzz is a lightweight PHP library for issuing HTTP requests. It is built on top of the PHP curl extension and is designed to be easy to use and flexible.

While buzz isn't as feature rich as other clients it still supports http2 and is relatively easy to use.

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.

Highlights


http2uses-curl

Example Use


use Buzz\Client\Curl;
use Buzz\Message\Request;
use Buzz\Message\Response;

$client = new Curl();
// GET request
$request = new Request('GET', 'http://httpbin.org/get');
$response = new Response();
$client->send($request, $response);
echo $response->getContent();

//POST request
$request = new Request('POST', '/api/resource', 'http://example.com');
$request->setContent(json_encode(['name' => 'John Doe']));
// we can also add headers or cookies:
$request->addHeader('Content-Type: application/json');
$request->addHeader('Cookie: name=foobar');
$response = new Response();
$client->send($request, $response);
echo $response->getContent();

// Buzz also supports http2 (see the 2.0 parameter)
$response = $client->sendRequest(
  new Request('GET', 'https://http2.golang.org/serverpush', [], null, '2.0')
);
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

Alternatives / Similar


Was this page helpful?