CODEWITHSUNDEEP
pythonbeautifulsoupscreen-scraping
RobTheBank
RobTheBank

Reputation: 43

How do I scrape information from a frame using Python and Beautiful Soup

This is my first attempt at web scraping. I am trying to use Beautiful Soup to scrape phone numbers from Raymond James' website. An example would be http://www.raymondjames.com/office_locator_display.asp?addressline=90210

Whenever I use BeautifulSoup, I am unable to find the appropriate information in the HTML. 

import urllib2
from bs4 import BeautifulSoup

url='http://www.raymondjames.com/office_locator_display.asp?addressline=90210'

opener = urllib2.build_opener()
opener.addheaders = [('User-agent', 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_3)        AppleWebKit/537.36 (KHTML, like Gecko) Chrome/27.0.1453.93 Safari/537.36')]
page_to_scrape=opener.open(url).read()
soup=BeautifulSoup(page_to_scrape.decode('utf-8','ignore'))

The output produced does not contain the information I need. It seems the URL I provide does not point to the location frame.

I don't use Python for a whole lot of work with web data so I am ignorant on how to direct Beautiful Soup into the 'frame' in order to get contact information.

Upvotes: 4

Views: 7952

Answers (1)

mattexx
mattexx

Reputation: 6616

As Martijn said, dig in the network requests, and the source data is there. In this case it's an xml response to a GET request made in the iframe. Armed with that url, the solution is pretty simple:

import urllib2
from bs4 import BeautifulSoup
soup = BeautifulSoup(urllib2.urlopen('http://hosted.where2getit.com/raymondjames/ajax?&xml_request=%3Crequest%3E%3Cappkey%3E7BD67064-FC36-11E0-B80D-3AEEDDB2B31E%3C%2Fappkey%3E%3Cformdata+id%3D%22locatorsearch%22%3E%3Cdataview%3Estore_default%3C%2Fdataview%3E%3Climit%3E30%3C%2Flimit%3E%3Cgeolocs%3E%3Cgeoloc%3E%3Caddressline%3E90210%3C%2Faddressline%3E%3Clongitude%3E%3C%2Flongitude%3E%3Clatitude%3E%3C%2Flatitude%3E%3Ccountry%3E%3C%2Fcountry%3E%3C%2Fgeoloc%3E%3C%2Fgeolocs%3E%3Csearchradius%3E25%7C50%7C100%3C%2Fsearchradius%3E%3C%2Fformdata%3E%3C%2Frequest%3E'), 'lxml')
# parse the points of interest into a list
pois = soup.find_all('poi')
# now have your way with them!

Upvotes: 5

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