requestsvsralger
PHP library "Requests" is an HTTP library written in PHP, for making HTTP requests. It's heavily inspired by a popular Python library called Requests and aims for the same goals of simplifying HTTP client complexities.
It abstracts the complexities of making requests behind a simple API so that you can focus on interacting with services and consuming data in your application.
Requests allows you to send HTTP/1.1 HEAD, GET, POST, PUT, DELETE, and PATCH HTTP requests. You can add headers, form data, multipart files, and parameters with basic arrays, and access the response data in the same way.
Requests uses cURL and fsockopen, depending on what your system has available, but abstracts all the nasty stuff out of your way, providing a consistent API.
Features:
- International Domains and URLs
- Browser-style SSL Verification
- Basic/Digest Authentication
- Automatic Decompression
- Connection Timeouts
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 Requests;
// make GET request
$response = Requests::get('https://httpbin.org/get');
echo $response->status_code;
// make POST request
$data = array('name' => 'Bob', 'age' => 35);
$options = array('auth' => array('user', 'pass'));
$response = Requests::post('https://httpbin.org/post', array(), $data, $options);
echo $response->status_code;
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