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axiosvsralger

MIT 744 14 104,548
217.0 million (month) Aug 29 2014 1.7.2(a month ago)
152 1 3 MIT
Dec 22 2019 1.0 thousand (month) 2.2.4(3 years ago)

axios is a popular JavaScript library that allows you to make HTTP requests from a Node.js environment. It is a promise-based library that works in both the browser and Node.js. It is similar to the Fetch API, but with a more powerful feature set and better browser compatibility.

One of the main benefits of using axios is that it automatically transforms the response data into a JSON object, making it easy to work with.

Axios is known for user-friendly API and support for asynchronous async/await syntax making it very accessible in web scraping.

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


// axios can be used with promises:
axios.get('http://httpbin.org/json')
  .then(response => {
    console.log(response.data);
  })
  .catch(error => {
    console.log(error);
  });

// or async await syntax:
var resp = await axios.get('http://httpbin.org/json');
console.log(resp.data);

// to make requests concurrently Promise.all function can be used:
const results = await Promise.all([
  axios.get('http://httpbin.org/html'),
  axios.get('http://httpbin.org/html'),
  axios.get('http://httpbin.org/html'),
])

// axios also supports other type of requests like POST and even automatically serialize them:
await axios.post('http://httpbin.org/post', {'query': 'hello world'});
// or formdata
const data = {name: 'John Doe', email: 'johndoe@example.com'};

await axios.post('https://jsonplaceholder.typicode.com/users',
    querystring.stringify(data), 
    {
        headers: {
            'Content-Type': 'application/x-www-form-urlencoded'
        }
    }
);

// default values like headers can be configured globally
axios.defaults.headers.common['User-Agent'] = 'webscraping.fyi';
// or for session instance:
const instance = axios.create({
  headers: {"User-Agent": "webscraping.fyi"},
})
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

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