roachvsralger
Roach is a complete web scraping toolkit for PHP. It is heavily inspired by the popular Scrapy package for Python.
Roach allows us to define spiders that crawl and scrape web documents. Roach isn’t just a simple crawler, but includes an entire pipeline to clean, persist and otherwise process extracted data as well.
Just like scrapy, Roach supports: - Middlewares - Item Pipelines - Extendibility through Plugins
It’s your all-in-one resource for web scraping in PHP.
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
<?php
use RoachPHP\Http\Response;
use RoachPHP\Spider\BasicSpider;
class RoachDocsSpider extends BasicSpider
{
/**
* @var string[]
*/
public array $startUrls = [
'https://roach-php.dev/docs/spiders'
];
public function parse(Response $response): \Generator
{
$title = $response->filter('h1')->text();
$subtitle = $response
->filter('main > div:nth-child(2) p:first-of-type')
->text();
yield $this->item([
'title' => $title,
'subtitle' => $subtitle,
]);
}
}
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