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goqueryvsralger

BSD-3-Clause 3 2 13,502
58.1 thousand (month) Aug 29 2016 v1.9.1(a month ago)
153 1 3 MIT
2.2.4(3 years ago) Dec 22 2019 1.2 thousand (month)

goquery brings a syntax and a set of features similar to jQuery to the Go language. goquery is a popular and easy-to-use library for Go that allows you to use a CSS selector-like syntax to select elements from an HTML document.

It is based on Go's net/html package and the CSS Selector library cascadia. Since the net/html parser returns nodes, and not a full-featured DOM tree, jQuery's stateful manipulation functions (like height(), css(), detach()) have been left off.

Also, because the net/html parser requires UTF-8 encoding, so does goquery: it is the caller's responsibility to ensure that the source document provides UTF-8 encoded HTML. See the wiki for various options to do this. Syntax-wise, it is as close as possible to jQuery, with the same function names when possible, and that warm and fuzzy chainable interface. jQuery being the ultra-popular library that it is, I felt that writing a similar HTML-manipulating library was better to follow its API than to start anew (in the same spirit as Go's fmt package), even though some of its methods are less than intuitive (looking at you, index()...).

goquery can download HTML by itself (using built-in http client) though it's not recommended for web scraping as it's likely to be blocked.

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


package main

import (
  "fmt"
  "github.com/PuerkitoBio/goquery"
)

func main() {
  // Use goquery.NewDocument to load an HTML document
  // This can load from URL
  doc, err := goquery.NewDocument("http://example.com")
  // or HTML string:
  doc, err := goquery.NewDocumentFromReader("some html")
  if err != nil {
    fmt.Println("Error:", err)
    return
  }

  // Use the Selection.Find method to select elements from the document
  doc.Find("a").Each(func(i int, s *goquery.Selection) {
    // Use the Selection.Text method to get the text of the element
    fmt.Println(s.Text())
    // Use the Selection.Attr method to get the value of an attribute
    fmt.Println(s.Attr("href"))
  })
}
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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