这似乎是一个很好的解决方案，从一个伟大的博客文章

import sys  
from PyQt4.QtGui import *  
from PyQt4.QtCore import *  
from PyQt4.QtWebKit import *  
from lxml import html 

#Take this class for granted.Just use result of rendering.
class Render(QWebPage):  
  def __init__(self, url):  
    self.app = QApplication(sys.argv)  
    QWebPage.__init__(self)  
    self.loadFinished.connect(self._loadFinished)  
    self.mainFrame().load(QUrl(url))  
    self.app.exec_()  

  def _loadFinished(self, result):  
    self.frame = self.mainFrame()  
    self.app.quit()  

url = 'http://pycoders.com/archive/'  
r = Render(url)  
result = r.frame.toHtml()
# This step is important.Converting QString to Ascii for lxml to process

# The following returns an lxml element tree
archive_links = html.fromstring(str(result.toAscii()))
print archive_links

# The following returns an array containing the URLs
raw_links = archive_links.xpath('//div[@class="campaign"]/a/@href')
print raw_links

我最近使用requests_html库来解决这个问题。

他们的扩展文档在readthedocs。IO非常好(跳过pypi.org上的带注释的版本)。如果您的用例是基本的，那么您可能会取得一些成功。

from requests_html import HTMLSession
session = HTMLSession()
response = session.request(method="get",url="www.google.com/")
response.html.render()

如果你在使用response.html.render()呈现你需要的数据时遇到麻烦，你可以将一些javascript传递给呈现函数来呈现你需要的特定js对象。这是从他们的文档中复制的，但这可能正是你需要的:

如果指定了script，它将在 运行时。例子:

script = """
    () => {
        return {
            width: document.documentElement.clientWidth,
            height: document.documentElement.clientHeight,
            deviceScaleFactor: window.devicePixelRatio,
        }
    } 
"""

返回执行脚本的返回值，如果有的话:

>>> response.html.render(script=script)
{'width': 800, 'height': 600, 'deviceScaleFactor': 1}

In my case, the data I wanted were the arrays that populated a javascript plot but the data wasn't getting rendered as text anywhere in the html. Sometimes its not clear at all what the object names are of the data you want if the data is populated dynamically. If you can't track down the js objects directly from view source or inspect, you can type in "window" followed by ENTER in the debugger console in the browser (Chrome) to pull up a full list of objects rendered by the browser. If you make a few educated guesses about where the data is stored, you might have some luck finding it there. My graph data was under window.view.data in the console, so in the "script" variable passed to the .render() method quoted above, I used:

return {
    data: window.view.data
}

把BeautifulSoup和Selenium混合在一起对我来说效果很好。

from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from bs4 import BeautifulSoup as bs

driver = webdriver.Firefox()
driver.get("http://somedomain/url_that_delays_loading")
    try:
        element = WebDriverWait(driver, 10).until(
        EC.presence_of_element_located((By.ID, "myDynamicElement"))) #waits 10 seconds until element is located. Can have other wait conditions  such as visibility_of_element_located or text_to_be_present_in_element

        html = driver.page_source
        soup = bs(html, "lxml")
        dynamic_text = soup.find_all("p", {"class":"class_name"}) #or other attributes, optional
    else:
        print("Couldnt locate element")

附注:你可以在这里找到更多的等待条件

如前所述，Selenium是呈现JavaScript结果的好选择:

from selenium.webdriver import Firefox
from selenium.webdriver.firefox.options import Options

options = Options()
options.headless = True
browser = Firefox(executable_path="/usr/local/bin/geckodriver", options=options)

url = "https://www.example.com"
browser.get(url)

gazpacho是一个非常容易解析渲染html的库:

from gazpacho import Soup

soup = Soup(browser.page_source)
soup.find("a").attrs['href']

我个人更喜欢在单独的容器中使用scrapy和selenium和dockerizing。通过这种方式，你既可以轻松安装，也可以抓取几乎所有包含某种形式javascript的现代网站。这里有一个例子:

使用scrapy startproject创建你的scraper并编写你的蜘蛛，骨架可以像这样简单:

import scrapy


class MySpider(scrapy.Spider):
    name = 'my_spider'
    start_urls = ['https://somewhere.com']

    def start_requests(self):
        yield scrapy.Request(url=self.start_urls[0])


    def parse(self, response):

        # do stuff with results, scrape items etc.
        # now were just checking everything worked

        print(response.body)

真正的魔力发生在middleware .py中。重写下载中间件中的两个方法__init__和process_request，方法如下:

# import some additional modules that we need
import os
from copy import deepcopy
from time import sleep

from scrapy import signals
from scrapy.http import HtmlResponse
from selenium import webdriver

class SampleProjectDownloaderMiddleware(object):

def __init__(self):
    SELENIUM_LOCATION = os.environ.get('SELENIUM_LOCATION', 'NOT_HERE')
    SELENIUM_URL = f'http://{SELENIUM_LOCATION}:4444/wd/hub'
    chrome_options = webdriver.ChromeOptions()

    # chrome_options.add_experimental_option("mobileEmulation", mobile_emulation)
    self.driver = webdriver.Remote(command_executor=SELENIUM_URL,
                                   desired_capabilities=chrome_options.to_capabilities())


def process_request(self, request, spider):

    self.driver.get(request.url)

    # sleep a bit so the page has time to load
    # or monitor items on page to continue as soon as page ready
    sleep(4)

    # if you need to manipulate the page content like clicking and scrolling, you do it here
    # self.driver.find_element_by_css_selector('.my-class').click()

    # you only need the now properly and completely rendered html from your page to get results
    body = deepcopy(self.driver.page_source)

    # copy the current url in case of redirects
    url = deepcopy(self.driver.current_url)

    return HtmlResponse(url, body=body, encoding='utf-8', request=request)

不要忘记在settings.py文件中取消下一行的注释来启用这个中间件:

DOWNLOADER_MIDDLEWARES = {
'sample_project.middlewares.SampleProjectDownloaderMiddleware': 543,}

接下来是dockerization。从一个轻量级映像创建Dockerfile(我在这里使用python Alpine)，复制你的项目目录到它，安装要求:

# Use an official Python runtime as a parent image
FROM python:3.6-alpine

# install some packages necessary to scrapy and then curl because it's  handy for debugging
RUN apk --update add linux-headers libffi-dev openssl-dev build-base libxslt-dev libxml2-dev curl python-dev

WORKDIR /my_scraper

ADD requirements.txt /my_scraper/

RUN pip install -r requirements.txt

ADD . /scrapers

最后在docker-compose.yaml中把所有这些都整合在一起:

version: '2'
services:
  selenium:
    image: selenium/standalone-chrome
    ports:
      - "4444:4444"
    shm_size: 1G

  my_scraper:
    build: .
    depends_on:
      - "selenium"
    environment:
      - SELENIUM_LOCATION=samplecrawler_selenium_1
    volumes:
      - .:/my_scraper
    # use this command to keep the container running
    command: tail -f /dev/null

运行docker-compose up -d。如果你是第一次这样做，它将需要一段时间来获取最新的硒/独立铬和构建你的刮刀图像以及。

完成后，您可以检查容器是否使用docker ps运行，还可以检查selenium容器的名称是否与传递给scraper容器的环境变量的名称相匹配(在这里，它是SELENIUM_LOCATION=samplecrawler_selenium_1)。

使用docker exec -ti YOUR_CONTAINER_NAME sh进入你的刮板容器，我的命令是docker exec -ti samplecrawler_my_scraper_1 sh, cd到正确的目录下，并用scrapy爬行my_spider运行你的刮板。

所有内容都在我的github页面上，你可以从这里获取

听起来好像你真正要找的数据可以通过主页面上的一些javascript调用的辅助URL访问。

虽然您可以尝试在服务器上运行javascript来处理这个问题，但一种更简单的方法可能是使用Firefox加载页面，并使用Charles或Firebug之类的工具来准确识别辅助URL。然后，您可以直接查询该URL以获得您感兴趣的数据。