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Detailed introduction to the use of golang crawler

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Release: 2023-04-04 17:20:42
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Nowadays, with the continuous development of Internet technology, web crawling has become a very important skill. As an emerging programming language, golang has been widely used. This article will introduce you to how to use golang crawler.

What is golang crawler?

Golang crawler refers to a program written in golang that simulates client requests, accesses specified websites, and analyzes and extracts the content of the website. This crawler technology is widely used in information capture, data mining, website monitoring, automated testing and other fields.

Advantages of golang crawler

As a static compiled language, golang has the characteristics of fast compilation speed, strong concurrency capability, and high operating efficiency. This gives the golang crawler the advantages of fast speed, good stability, and high scalability.

golang crawler tools

  1. Third-party libraries

golang has a rich set of third-party libraries that can easily perform HTTP requests, HTML parsing, and concurrency Processing and other operations. Some of the important third-party libraries include:

  • net/http: used to send HTTP requests and process HTTP responses;
  • net/url: used to process URL strings;
  • goquery: jQuery-based HTML parser, used to quickly find and traverse elements in HTML documents;
  • goroutines and channels: used to implement parallel crawling and data flow control.
  1. Framework

golang also has some specialized crawler frameworks, such as:

  • Colly: a fast, flexible and intelligent A crawler framework that supports both XPath and regular expression matching methods, and integrates a number of advanced features, such as domain name qualification, request filtering, request callbacks, cookie management, etc.
  • Gocrawl: A highly customizable crawler framework that supports URL redirection, page caching, request queues, link speed limits and other features. It also provides a comprehensive event callback interface to facilitate secondary development by users. .

Implementation steps of golang crawler

  1. Send HTTP request

In golang, sending HTTP request is based on the standard library net/http implementation of. By creating an http.Client object and using its Do method to send HTTP requests and receive responses. The following is a code example for sending an HTTP GET request:

import (
    "net/http"
    "io/ioutil"
)

func main() {
    resp, err := http.Get("http://example.com/")
    if err != nil {
        // 处理错误
    }
    defer resp.Body.Close()
    body, err := ioutil.ReadAll(resp.Body)
    if err != nil {
        // 处理错误
    }
    // 处理返回的内容
}
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  1. Parsing HTML

In golang, parsing HTML is implemented based on the third-party library goquery. Using goquery, you can quickly find and traverse HTML elements through CSS selectors and other methods. The following is a code example for parsing HTML:

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

func main() {
    html := `
    <ul>
        <li><a href="http://example.com/1">Link 1</a></li>
        <li><a href="http://example.com/2">Link 2</a></li>
        <li><a href="http://example.com/3">Link 3</a></li>
    </ul>
    `
    doc, err := goquery.NewDocumentFromReader(strings.NewReader(html))
    if err != nil {
        // 处理错误
    }
    doc.Find("ul li a").Each(func(i int, s *goquery.Selection) {
        // 处理每个a标签
        href, _ := s.Attr("href")
        text := s.Text()
    })
}
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  1. Parallel processing

Golang, as a concurrent programming language, has excellent parallel capabilities. In crawlers, parallel processing of multiple requests can be achieved through goroutines and channels. The following is a code example of parallel processing:

import (
    "net/http"
    "io/ioutil"
    "fmt"
)

func fetch(url string, ch chan<- string) {
    resp, err := http.Get(url)
    if err != nil {
        ch <- fmt.Sprintf("%s: %v", url, err)
        return
    }
    defer resp.Body.Close()
    body, err := ioutil.ReadAll(resp.Body)
    if err != nil {
        ch <- fmt.Sprintf("%s: %v", url, err)
        return
    }
    ch <- fmt.Sprintf("%s: %s", url, body)
}

func main() {
    urls := []string{"http://example.com/1", "http://example.com/2", "http://example.com/3"}
    ch := make(chan string)
    for _, url := range urls {
        go fetch(url, ch)
    }
    for range urls {
        fmt.Println(<-ch)
    }
}
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Summary

golang crawler is a very promising skill that can bring great benefits to us in automating data acquisition, analyzing competitive products, monitoring websites, etc. s help. Learning golang crawler can not only improve our technical level, but also allow us to better cope with the growing information needs.

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