解析网页速度比较（BeautifulSoup、PyQuery、lxml、正则）

用标题中的四种方式解析网页，比较其解析速度。复习PyQuery和PySpider，PySpider这个项目有点老了，现在还是使用被淘汰的PhantomJS。

系统配置、Python版本对解析速度也有影响，下面是我的结果（lxml与xpath最快，bs最慢）：

==== Python version: 3.6.7 (v3.6.7:6ec5cf24b7, Oct 20 2018, 03:02:14) 
[GCC 4.2.1 Compatible Apple LLVM 6.0 (clang-600.0.57)] =====

==== Total trials: 10000 =====
bs4 total time: 7.7
pq total time: 0.9
lxml (cssselect) total time: 0.9
lxml (xpath) total time: 0.6
regex total time: 1.0 (doesn't find all p)

拷贝下面代码可以自测：

import re
import sys
import time
import requests
from lxml.html import fromstring
from pyquery import PyQuery as pq
from bs4 import BeautifulSoup as bs

def Timer():
    a = time.time()
    while True:
        c = time.time()
        yield time.time()-a
        a = c
timer = Timer()
url = "http://www.python.org/"
html = requests.get(url).text
num = 10000
print ('\n==== Python version: %s =====' %sys.version)
print ('\n==== Total trials: %s =====' %num)
next(timer)
soup = bs(html, 'lxml')
for x in range(num):
    paragraphs = soup.findAll('p')
t = next(timer)
print ('bs4 total time: %.1f' %t)
d = pq(html)
for x in range(num):
    paragraphs = d('p')
t = next(timer)
print ('pq total time: %.1f' %t)
tree = fromstring(html)
for x in range(num):
    paragraphs = tree.cssselect('p')
t = next(timer)
print ('lxml (cssselect) total time: %.1f' %t)
tree = fromstring(html)
for x in range(num):
    paragraphs = tree.xpath('.//p')
t = next(timer)
print ('lxml (xpath) total time: %.1f' %t)
for x in range(num):
    paragraphs = re.findall('<[p ]>.*?
', html)
t = next(timer)
print ('regex total time: %.1f (doesn\'t find all p)\n' %t)

借PyQuery复习CSS选择器。

PyQuery支持下载网页为文本，是通过urllib或Requests实现的：

from pyquery import PyQuery as pq

url = 'https://www.feixiaohao.com/currencies/bitcoin/'
headers = {
            'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8',
            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 '
                          '(KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36'
        }
doc = pq(url=url, headers=headers, method='get')

# 也支持发送表单数据
# pq(your_url, {'q': 'foo'}, method='post', verify=True)

# btc价格
btc_price = doc('.mainPrice span.convert').text()
print(btc_price)

# btc logo
btc_logo = doc('img.coinLogo').attr('src')
print(btc_logo)

也可以直接加载文档字符串或html文档：

from pyquery import PyQuery as pq

html = '''

    

         
first item
         
second item
         
third item
         
fourth item
         
fifth item
    

'''

doc = pq(html)
# doc = pq(filename='demo.html')

# 使用eq可以按次序选择
print(doc('li').eq(1))

查找上下级元素可以通过find()，children()，parent()，parents()，siblings()。CSS选择器举例如下：

Pyspider的选择器是PyQuery。下面的例子是使用PySpider抓取IMDB250信息，fetch_type设为了js，存入MongoDB。

#!/usr/bin/env python
# -*- encoding: utf-8 -*-
# Created on 2019-01-30 16:22:03
# Project: imdb

from pyspider.libs.base_handler import *


class Handler(BaseHandler):
    crawl_config = {
    }

    @every(minutes=5)
    def on_start(self):
        self.crawl('https://www.imdb.com/chart/top', callback=self.index_page)

    @config(age=10 * 24 * 60 * 60)
    def index_page(self, response):
        for each in response.doc('.titleColumn > a').items():
            self.crawl(each.attr.href, callback=self.detail_page, fetch_type='js')

    @config(priority=2)
    def detail_page(self, response):
        return {            
            "title": response.doc('h1').text(),
            "voters": response.doc('[itemprop="aggregateRating"] > a > span').text(),
            "score": response.doc('strong > span').text()
        }

    # 需要再init中定义mongoclient
    def on_result(self, result):
        self.mongo.insert_result(result)
        super(Handler, self).on_result(result)

PySpider的文档
http://docs.pyspider.org/en/latest/

PySpider目前还不支持Python3.7，所以只好用Python3.6。

在MacOSX上安装Pyspider时，反复弹出这个错误Failed building wheel for pycurl和error: command 'gcc' failed with exit status 1。是SSL导致的错误，解决方法如下：

(env)$ pip uninstall pycurl
(env)$ pip install --upgrade pip
(env)$ export LDFLAGS=-L/usr/local/opt/openssl/lib
(env)$ export CPPFLAGS=-I/usr/local/opt/openssl/include
(env)$ export PYCURL_SSL_LIBRARY=openssl
(env)$ pip install pycurl