Inside My Mind: 11月 2017

2017/11/06

crawler in PHP, Python, Node.js

網頁爬蟲是滿常遇到的課題，今天練習一下用這三種語言寫爬蟲

PHP

crawler.php

 <?php
 
include 'vendor/autoload.php';
 
use Sunra\PhpSimple\HtmlDomParser;
 
$url = 'https://www.ptt.cc/bbs/NBA/index.html';
$html = HtmlDomParser::file_get_html($url);
$titles = $html->find('div.title');
$file = fopen('php.txt', 'w');
 
foreach ($titles as $title) {
    $subject = trim($title->plaintext)."\n";
    fwrite($file, $subject);
}
 
fclose($file);
$html->clear();

Python

crawler.py

 # -*- coding: utf-8 -*-
 
import sys
import requests
from bs4 import BeautifulSoup
 
reload(sys)
sys.setdefaultencoding('utf-8')
 
url = 'https://www.ptt.cc/bbs/NBA/index.html'
res = requests.get(url)
soup = BeautifulSoup(res.text, 'html.parser')
titles = soup.find_all('div', 'title')
f = open('py.txt', 'w');
 
for title in titles:
    f.write('%s\n' % title.text.strip())
 
f.close()

Node.js

[request][]
cheerio

crawler.js

 const cheerio = require('cheerio');
const request = require('request');
const fs = require('fs');
 
const url = 'https://www.ptt.cc/bbs/NBA/index.html';
const out = fs.createWriteStream('nodejs.txt');
 
request(url, (err, res, body) => {
    if (err) {
        console.log(err);
    }
 
    const $ = cheerio.load(body);
    const divs = $('div.title');
 
    divs.each((i, item) => {
        out.write($(item).text().trim() + '\n');
    });
 
    out.end();
});

這三個程式執行的結果會得到一樣的內容，當然這是很簡略的範例，照理說要寫一些容錯判斷，但練習用的範例先這樣吧，再附上執行結果比較一下速度

PHP 7.0.22

 $ time php crawler.php
 
real    0m0.614s
user    0m0.072s
sys     0m0.032s
 
real    0m0.570s
user    0m0.056s
sys     0m0.032s
 
real    0m0.570s
user    0m0.056s
sys     0m0.032s
 
real    0m0.515s
user    0m0.040s
sys     0m0.032s
 
real    0m0.515s
user    0m0.040s
sys     0m0.032s
 
real    0m0.515s
user    0m0.040s
sys     0m0.032s

Node.js v9.0.0

 $ time node crawler.js
 
real    0m1.357s
user    0m0.244s
sys     0m0.396s
 
real    0m1.744s
user    0m0.376s
sys     0m0.312s
 
real    0m1.312s
user    0m0.272s
sys     0m0.380s
 
real    0m1.522s
user    0m0.348s
sys     0m0.304s
 
real    0m1.369s
user    0m0.288s
sys     0m0.396s
 
real    0m1.523s
user    0m0.388s
sys     0m0.344s

Python 2.7.12

 $ time python crawler.py
real    0m0.666s
user    0m0.232s
sys     0m0.064s
 
real    0m0.682s
user    0m0.204s
sys     0m0.088s
 
real    0m0.709s
user    0m0.240s
sys     0m0.064s
 
real    0m0.624s
user    0m0.228s
sys     0m0.032s
 
real    0m0.669s
user    0m0.264s
sys     0m0.052s
 
real    0m0.698s
user    0m0.260s
sys     0m0.068s

基本上 PHP 跟 Python 都是按下去一下就做完了，Node.js 有等待的感覺，不知道是哪個環節出問題，我有把檔案寫入跟 dom 搜尋的部份關閉，速度沒差多少，所以是 [request][] 套件慢？但網路大家都推 [request][]，他應該也是基於 node.js 內建的 http module 上的高級封裝，而且其他人也都有用套件，只能說幾乎我每次測試東西 node.js 數據都會吊車尾，目前還是選擇使用他好用的工具群為主。

Inside My Mind