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collyvsspidr

Apache-2.0 182 5 21,702
May 14 2018 v2.1.0(3 years ago)
785 2 16 MIT
0.7.1(26 days ago) Jul 25 2009 1.4 thousand (month)

Colly is a popular web scraping library for the Go programming language. It's designed to be fast and easy to use, and it provides a simple and flexible API for traversing and extracting information from websites.

Colly supports:

  • Concurrent scraping with a simple API
  • Automatic handling of cookies and sessions
  • Automatic handling of redirects
  • Support for parsing HTML and XML
  • Support for parsing JSON and binary data
  • Support for custom storage (e.g. scraping results to a database)
  • Simple JavaScript rendering with Colly's built-in rendering engine.

Colly also provides several optional features, such as support for user-agents, delay between requests, rate-limiting and proxy usage.

Colly's API is quite simple, and it is easy to get started with basic web scraping tasks. It's a good choice for scraping moderate to heavy sites, and it can be useful for a wide range of use cases, such as data mining, content extraction, and more.

Additionally, you can use it together with Goquery, a library that allow you to make jquery like queries on HTML documents and it is often used together with Colly to ease the way of parsing the HTML.

Spidr is a Ruby gem that provides a simple and flexible way to spider and scrape websites. It allows you to easily navigate through a website, following links and scraping data as you go. It is built on top of Nokogiri, a popular Ruby gem for parsing and searching HTML and XML documents, and it provides a simple and intuitive API for defining and running web scraping operations.

One of the main features of Spidr is its ability to spider a website, following all the links on a page and visiting all the pages of a website. This allows you to easily and quickly scrape large amounts of data from a website, without having to manually specify which pages to visit.

In addition to its spidering capabilities, Spidr also provides a variety of other features that can simplify the web scraping process. It can automatically filter which links to follow and which pages to visit, it can handle cookies and authentication, and it can automatically store the scraped data in a database or file. It also provides a built-in support for parallelism and queueing to speed up the scraping process.

Highlights


popularcss-selectorsxpath-selectorscommunity-toolsoutput-pipelinesmiddlewaresasyncproductionlarge-scale

Example Use


package main

import (
  "fmt"

  "github.com/gocolly/colly/v2"
)

func main() {
  // Instantiate default collector
  c := colly.NewCollector(
    // Visit only domains: hackerspaces.org, wiki.hackerspaces.org
    colly.AllowedDomains("hackerspaces.org", "wiki.hackerspaces.org"),
  )

  // On every a element which has href attribute call callback
  c.OnHTML("a[href]", func(e *colly.HTMLElement) {
    link := e.Attr("href")
    // Print link
    fmt.Printf("Link found: %q -> %s\n", e.Text, link)
    // Visit link found on page
    // Only those links are visited which are in AllowedDomains
    c.Visit(e.Request.AbsoluteURL(link))
  })

  // Before making a request print "Visiting ..."
  c.OnRequest(func(r *colly.Request) {
    fmt.Println("Visiting", r.URL.String())
  })

  // Start scraping on https://hackerspaces.org
  c.Visit("https://hackerspaces.org/")
}
require 'spidr'

Spidr.start_at("http://example.com") do |spider|
  spider.every_page do |page|
    puts "Visiting: #{page.url}"

    # Extract data from the page using Nokogiri
    doc = Nokogiri::HTML(page.body)
    title = doc.css("title").text
    puts "Title: #{title}"
  end
end

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