Screen scraping with Python

你说的曾经没有我的故事 提交于 2019-11-30 02:04:13
hoju

There are many options when dealing with static HTML, which the other responses cover. However if you need JavaScript support and want to stay in Python I recommend using webkit to render the webpage (including the JavaScript) and then examine the resulting HTML. For example:

import sys
import signal
from PyQt4.QtCore import *
from PyQt4.QtGui import *
from PyQt4.QtWebKit import QWebPage

class Render(QWebPage):
    def __init__(self, url):
        self.app = QApplication(sys.argv)
        QWebPage.__init__(self)
        self.html = None
        signal.signal(signal.SIGINT, signal.SIG_DFL)
        self.connect(self, SIGNAL('loadFinished(bool)'), self._finished_loading)
        self.mainFrame().load(QUrl(url))
        self.app.exec_()

    def _finished_loading(self, result):
        self.html = self.mainFrame().toHtml()
        self.app.quit()


if __name__ == '__main__':
    try:
        url = sys.argv[1]
    except IndexError:
        print 'Usage: %s url' % sys.argv[0]
    else:
        javascript_html = Render(url).html
Justin

Beautiful soup is still probably your best bet.

If you need "JavaScript support" for the purpose of intercepting Ajax requests then you should use some sort of capture too (such as YATT) to monitor what those requests are, and then emulating / parsing them.

If you need "JavaScript support" in order to be able to see what the end result of a page with static JavaScript is, then my first choice would be to try and figure out what the JavaScript is doing on a case-by-case basis (e.g. if the JavaScript is doing something based on some Xml, then just parse the Xml directly instead)

If you really want "JavaScript support" (as in you want to see what the html is after scripts have been run on a page) then I think you will probably need to create an instance of some browser control, and then read the resulting html / dom back from the browser control once its finished loading and parse it normally with beautiful soup. That would be my last resort however.

Scrapy is a fast high-level screen scraping and web crawling framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing.

Here you go: http://scrapy.org/

Selenium maybe? It allows you to automate an actual browser (Firefox, IE, Safari) using python (amongst other languages). It is meant for testing websites, but seems it should be usable for scraping as well. (disclaimer: never used it myself)

The Webscraping library wraps the PyQt4 WebView into a simple and easy-to-use API.

Here is a simple example to download a web page rendered by WebKit and extract the title element using XPath (taken from the URL above):

from webscraping import download, xpath
D = download.Download()
# download and cache the Google Code webpage
html = D.get('http://code.google.com/p/webscraping')
# use xpath to extract the project title
print xpath.get(html, '//div[@id="pname"]/a/span')
ghostdog74

you can try spidermonkey ?

This Python module allows for the implementation of Javascript? classes, objects and functions in Python, as well as the evaluation and calling of Javascript scripts and functions. It borrows heavily from Claes Jacobssen's Javascript Perl module, which in turn is based on Mozilla's PerlConnect Perl binding.

I have not found anything for this. I use a combination of beautifulsoup and custom routines...

易学教程内所有资源均来自网络或用户发布的内容,如有违反法律规定的内容欢迎反馈
该文章没有解决你所遇到的问题?点击提问,说说你的问题,让更多的人一起探讨吧!