Skip to content

ralgervsgot

MIT 3 1 153
1.2 thousand (month) Dec 22 2019 2.2.4(3 years ago)
13,904 10 108 MIT
14.2.1(30 days ago) Mar 27 2014 88.1 million (month)

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.

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.

Highlights


http2asyncpopularextendibletypescriptproxy

Example Use


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
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'
    })
  }
});

Alternatives / Similar