WebScraping with BeautifulSoup or LXML.HTML

Question

I have seen some webcasts and need help in trying to do this:
I have been using lxml.html. Yahoo recently changed the web structure.

target page;

http://finance.yahoo.com/quote/IBM/options?date=1469750400&straddle=true

In Chrome using inspector: I see the data in

 //*[@id="main-0-Quote-Proxy"]/section/section/div[2]/section/section/table

then some more code

How Do get this data out into a list.
I want to change to other stock from “LLY” to “Msft”?
How do I switch between dates….And get all months.

Asked By: Merlin

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Source

Answer 1

I know you said you can’t use lxml.html. But here is how to do it using that library, because it is very good library. So I provide the code using it, for completeness, since I don’t use BeautifulSoup anymore — it’s unmaintained, slow and has ugly API.

The code below parses the page and writes the results in a csv file.

import lxml.html
import csv

doc = lxml.html.parse('http://finance.yahoo.com/q/os?s=lly&m=2011-04-15')
# find the first table contaning any tr with a td with class yfnc_tabledata1
table = doc.xpath("//table[tr/td[@class='yfnc_tabledata1']]")[0]

with open('results.csv', 'wb') as f:
    cf = csv.writer(f)
    # find all trs inside that table:
    for tr in table.xpath('./tr'):
        # add the text of all tds inside each tr to a list
        row = [td.text_content().strip() for td in tr.xpath('./td')]
        # write the list to the csv file:
        cf.writerow(row)

That’s it! lxml.html is so simple and nice!! Too bad you can’t use it.

Here’s some lines from the results.csv file that was generated:

LLY110416C00017500,N/A,0.00,17.05,18.45,0,0,17.50,LLY110416P00017500,0.01,0.00,N/A,0.03,0,182
LLY110416C00020000,15.70,0.00,14.55,15.85,0,0,20.00,LLY110416P00020000,0.06,0.00,N/A,0.03,0,439
LLY110416C00022500,N/A,0.00,12.15,12.80,0,0,22.50,LLY110416P00022500,0.01,0.00,N/A,0.03,2,50

Answered By: nosklo

Answer 2

Here is a simple example to extract all data from the stock tables:

import urllib
import lxml.html
html = urllib.urlopen('http://finance.yahoo.com/q/op?s=lly&m=2014-11-15').read()
doc = lxml.html.fromstring(html)
# scrape figures from each stock table
for table in doc.xpath('//table[@class="details-table quote-table Fz-m"]'):
    rows = []
    for tr in table.xpath('./tbody/tr'):
        row = [td.text_content().strip() for td in tr.xpath('./td')]
        rows.append(row)
    print rows

Then to extract for different stocks and dates you need to change the URL. Here is Msft for the previous day:
http://finance.yahoo.com/q/op?s=msft&m=2014-11-14

Answered By: hoju

Answer 3

If you’d like raw json try MSN

http://www.msn.com/en-us/finance/stocks/optionsajax/126.1.UNH.NYS/

You can also specify an expiration date ?date=11/14/2014

http://www.msn.com/en-us/finance/stocks/optionsajax/126.1.UNH.NYS/?date=11/14/2014

If you prefer Yahoo json

http://finance.yahoo.com/q/op?s=LLY

But you have to extract it from the html

import re

m = re.search('<script>.+({"applet_type":"td-applet-options-table".+);</script>', resp.content)

data = json.loads(m.group(1))
as_dicts = data['models']['applet_model']['data']['optionData']['_options'][0]['straddles']

Expirations are here

data['models']['applet_model']['data']['optionData']['expirationDates']

Convert iso to unix timestamp as here

Then re-request the other expirations with the unix timestamp

http://finance.yahoo.com/q/op?s=LLY&date=1414713600

Answered By: willo

Answer 4

Basing the Answer on @hoju:

import lxml.html
import calendar
from datetime import datetime

exDate  = "2014-11-22"
symbol  = "LLY"
dt      = datetime.strptime(exDate, '%Y-%m-%d')
ym      = calendar.timegm(dt.utctimetuple())

url     = 'http://finance.yahoo.com/q/op?s=%s&date=%s' % (symbol, ym,)
doc     = lxml.html.parse(url)
table   = doc.xpath('//table[@class="details-table quote-table Fz-m"]/tbody/tr')

rows    = []        
for tr in table:
     d = [td.text_content().strip().replace(',','') for td in tr.xpath('./td')]
     rows.append(d)

print rows

Answered By: Merlin

WebScraping with BeautifulSoup or LXML.HTML

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