Got is a lightweight and powerful HTTP client for Node.js.
It is built on top of the http and https modules and provides a simple, consistent API for making HTTP requests.
Got is one of the most feature-rich http clients in NodeJS ecosystem offering http2, proxy and asynchronous support
making it ideal for web scraping.
Got also supports many specific domain integrations like AWS, plugins for various public APIs like github.
Note that Got has some inconsistent behaviors when it comes to web scraping use.
For example, it normalizes http headers
which is undesired functionality in scraping and should be disabled.
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.
```python
const got = require('got');
// GET requests are default and can be made calling the module as is:
const response = await got('https://api.example.com');
console.log(response.body);
// POST requests can send
const response = await got.post('https://api.example.com', {
json: { name: 'John Doe' },
});
console.log(response.body);
// handling cookies
import {CookieJar} from 'tough-cookie';
const cookieJar = new CookieJar();
await cookieJar.setCookie('foo=bar', 'https://httpbin.org');
await got('https://httpbin.org/anything', {cookieJar});
// using proxy
import got from 'got';
import {HttpsProxyAgent} from 'hpagent';
await got('https://httpbin.org/ip', {
agent: {
https: new HttpsProxyAgent({
keepAlive: true,
keepAliveMsecs: 1000,
maxSockets: 256,
maxFreeSockets: 256,
scheduling: 'lifo',
proxy: 'https://localhost:8080'
})
}
});
```
```r
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
#>
#> 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
```