获取Python脚本标记中的变量数据或从js中添加的内容

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获取Python脚本标记中的变量数据或从js中添加的内容

web = urllib.urlopen("my url")
html = web.read()
soup = BeautifulSoup(html, 'lxml')
js  = soup.find("script")
ss = js.prettify()
print ss

<script type="text/javascript">
 myPage = 'ETFs';
        sectionId = 'liQuotes'; //section tab
        breadCrumbId = 'qQuotes'; //page
        is_dartSite = "quotes";
        is_dartZone = "news";
        propVar = "ETFs";
</script>

import urllib
import json
import re
from bs4 import BeautifulSoup
web = urllib.urlopen("http://www.nasdaq.com/quotes/nasdaq-financial-100-stocks.aspx")
soup = BeautifulSoup(web.read(), 'lxml')
data  = soup.find_all("script")[19].string
p = re.compile('var table_body = (.*?);')
m = p.match(data)
stocks = json.loads(m.groups()[0])
>>> for stock in stocks:
...     print stock
[u'ASPS', u'Altisource Portfolio Solutions S.A.', 116.96, 2.2, 1.92, 86635, u'N', u'N']
[u'AGNC', u'American Capital Agency Corp.', 23.76, 0.13, 0.55, 3184303, u'N', u'N']
[u'ZION', u'Zions Bancorporation', 29.79, 0.46, 1.57, 2154017, u'N', u'N']

<script type="text/javascript">var table_body = [["ATVI", "Activision Blizzard, Inc", 20.92, 0.21, 1.01, 6182877,  .1, "N", "N"],
["ADBE", "Adobe Systems Incorporated", 66.91, 1.44, 2.2, 3629837,  .6, "N", "N"],
["AKAM", "Akamai Technologies, Inc.", 57.47, 1.57, 2.81, 2697834,  .3, "N", "N"],
["ALXN", "Alexion Pharmaceuticals, Inc.", 170.2, 0.7, 0.41, 659817,  .1, "N", "N"],
["ALTR", "Altera Corporation", 33.82, -0.06, -0.18, 1928706,  .0, "N", "N"],
["AMZN", "Amazon.com, Inc.", 329.67, 6.1, 1.89, 5246300,  2.5, "N", "N"],
["YHOO", "Yahoo! Inc.", 35.92, 0.98, 2.8, 18705720,  .9, "N", "N"]];

web = urllib.urlopen("http://www.nasdaq.com/quotes/nasdaq-financial-100-stocks.aspx")
pattern = re.compile('var table_body = (.*?);')
soup = BeautifulSoup(web.read(), "lxml")

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获取Python脚本标记中的变量数据或从js中添加的内容

2 个回答