我试图开发一个简单的网页刮板。我想提取没有HTML代码的文本。它适用于普通HTML，但不适用于JavaScript代码添加文本的某些页面。
例如，如果一些JavaScript代码添加了一些文本，我不能看到它，因为当我调用:
response = urllib2.urlopen(request)
我得到了原始文本而没有添加的文本(因为JavaScript是在客户端执行的)。
所以，我正在寻找一些解决这个问题的想法。
当前回答
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']
其他回答
Pyppeteer
你可以考虑Pyppeteer，它是Chrome/Chromium驱动程序前端的Python移植版本。
下面是一个简单的例子，展示了如何使用pyppeterer动态地访问被注入到页面中的数据:
import asyncio
from pyppeteer import launch
async def main():
browser = await launch({"headless": True})
[page] = await browser.pages()
# normally, you go to a live site...
#await page.goto("http://www.example.com")
# but for this example, just set the HTML directly:
await page.setContent("""
<body>
<script>
// inject content dynamically with JS, not part of the static HTML!
document.body.innerHTML = `<p>hello world</p>`;
</script>
</body>
""")
print(await page.content()) # shows that the `<p>` was inserted
# evaluate a JS expression in browser context and scrape the data
expr = "document.querySelector('p').textContent"
print(await page.evaluate(expr, force_expr=True)) # => hello world
await browser.close()
asyncio.get_event_loop().run_until_complete(main())
请参阅pyppeterer的参考文档。
我们没有得到正确的结果，因为任何javascript生成的内容都需要在DOM上呈现。当我们获取一个HTML页面时，我们获取初始的，未经javascript修改的DOM。
因此，我们需要在抓取页面之前呈现javascript内容。
由于selenium已经在本线程中多次提到(有时也提到了它的速度有多慢)，我将列出其他两种可能的解决方案。
解决方案1:这是一个关于如何使用Scrapy抓取javascript生成内容的非常好的教程，我们将遵循这一点。
我们需要:
Docker installed in our machine. This is a plus over other solutions until this point, as it utilizes an OS-independent platform. Install Splash following the instruction listed for our corresponding OS.Quoting from splash documentation: Splash is a javascript rendering service. It’s a lightweight web browser with an HTTP API, implemented in Python 3 using Twisted and QT5. Essentially we are going to use Splash to render Javascript generated content. Run the splash server: sudo docker run -p 8050:8050 scrapinghub/splash. Install the scrapy-splash plugin: pip install scrapy-splash Assuming that we already have a Scrapy project created (if not, let's make one), we will follow the guide and update the settings.py: Then go to your scrapy project’s settings.py and set these middlewares: DOWNLOADER_MIDDLEWARES = { 'scrapy_splash.SplashCookiesMiddleware': 723, 'scrapy_splash.SplashMiddleware': 725, 'scrapy.downloadermiddlewares.httpcompression.HttpCompressionMiddleware': 810, } The URL of the Splash server(if you’re using Win or OSX this should be the URL of the docker machine: How to get a Docker container's IP address from the host?): SPLASH_URL = 'http://localhost:8050' And finally you need to set these values too: DUPEFILTER_CLASS = 'scrapy_splash.SplashAwareDupeFilter' HTTPCACHE_STORAGE = 'scrapy_splash.SplashAwareFSCacheStorage' Finally, we can use a SplashRequest: In a normal spider you have Request objects which you can use to open URLs. If the page you want to open contains JS generated data you have to use SplashRequest(or SplashFormRequest) to render the page. Here’s a simple example: class MySpider(scrapy.Spider): name = "jsscraper" start_urls = ["http://quotes.toscrape.com/js/"] def start_requests(self): for url in self.start_urls: yield SplashRequest( url=url, callback=self.parse, endpoint='render.html' ) def parse(self, response): for q in response.css("div.quote"): quote = QuoteItem() quote["author"] = q.css(".author::text").extract_first() quote["quote"] = q.css(".text::text").extract_first() yield quote SplashRequest renders the URL as html and returns the response which you can use in the callback(parse) method.
解决方案2:我们暂且称之为实验性的(2018年5月)…… 此解决方案仅适用于Python版本3.6(目前)。
你知道请求模块吗(谁不知道呢)? 现在它有了一个网络爬行的小兄弟:requests-HTML:
这个库旨在使解析HTML(例如抓取网页)尽可能简单和直观。
安装请求-html: pipenv 对页面的url进行请求: 导入HTMLSession 会话= HTMLSession() R = session.get(a_page_url) 渲染响应以获得Javascript生成的比特: r.html.render ()
最后，该模块似乎提供了抓取功能。 或者，我们也可以尝试使用我们刚刚渲染的r.html对象来使用BeautifulSoup。
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
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']
如果你以前曾经使用过python的Requests模块，我最近发现开发人员创建了一个名为Requests- html的新模块，现在它也有呈现JavaScript的能力。
你也可以访问https://html.python-requests.org/来了解更多关于这个模块的信息，或者如果你只对呈现JavaScript感兴趣，那么你可以访问https://html.python-requests.org/?#javascript-support来直接学习如何使用该模块使用Python来呈现JavaScript。
从本质上讲，一旦你正确安装了Requests-HTML模块，下面的例子，在上面的链接中显示，展示了你如何使用这个模块来抓取一个网站，并呈现网站中包含的JavaScript:
from requests_html import HTMLSession
session = HTMLSession()
r = session.get('http://python-requests.org/')
r.html.render()
r.html.search('Python 2 will retire in only {months} months!')['months']
'<time>25</time>' #This is the result.
我最近从YouTube上的一个视频中了解到这一点。点击这里!观看YouTube上演示该模块如何工作的视频。
