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pholcusvsralger

Apache-2.0 6 1 7,526
Feb 15 2020 v1.3.4(4 years ago)
153 1 3 MIT
2.2.4(3 years ago) Dec 22 2019 1.2 thousand (month)

Pholcus is a minimalistic web crawler library written in the Go programming language. It is designed to be flexible and easy to use, and it supports concurrent, distributed, and modular crawling.

Note that Pholcus is documented and maintained in the Chinese language and has no english resources other than the code source itself.

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 (
    "github.com/henrylee2cn/pholcus/exec"
    _ "github.com/henrylee2cn/pholcus/spider/standard" // standard spider
)

func main() {
    // create spider object
    spider := exec.NewSpider(exec.NewTask("demo", "https://www.example.com"))
    // add a callback for URL route by regex pattern. In this case it's any route:
    spider.AddRule(".*", "Parse")
    // Start spider
    spider.Start()
}

// define callback here
func Parse(self *exec.Spider, doc *goquery.Document) {
    // callbacks receive HTMl document reference and 
}
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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