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yahoo stock quote (csv file)

Hits: 102
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4.5

PHP and cURL example

Hits: 69
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0.0
This example shows how to get
This shows how to grab a page
This article will show the
This tutorial walks you
the CSV file for a certain
from either your own site or
SIMPLE use of regular
through on how to create
company . We can then get
another using PHP and cURL.
expressions (Perl
"your own" content
all of the entries and
This in fact can be done
style/PCRE) to get the
grabbing program in minutes.
display them individually .
with only 4 lines of code
values of data delimited by
It'll tell you how to create
This means you could display
 
HTML tags. Instead of
connections, parse unwanted
only the entries that
 
building a parser that
data, smoothen it out and
interest you.
 
pushes start tags onto a
then display it customized
 
 
stack and pulls them off
to your needs, using a
 
 
once a stop tag is found (if
simple yet concrete example
 
 
one is found) I find it much
of grabbing news from yahoo!
 
 
easier to use regular
 
 
 
expressions. This article is
 
 
 
NOT a primer to regular
 
 
 
expressions and only shows
 
 
 
this particular example.
 


Date: Apr, 18 2005


Date: Apr, 18 2005


Date: Oct, 27 2003


Date: Oct, 04 2003
Ever wonder how those sites
Data Mining Tutorial complete
 
 
you visit have headlines
with Data Mining Tools (PHP
 
 
from other sites appearing
Functions) to parse data and
 
 
on their pages? An
match based on regular
 
 
explanation of how to take
expressions. Basic Data
 
 
Slashdot.org's headlines
Mining Steps: Fetch the HMTL
 
 
explains the methods used.
page(s) of Interest using
 
 
First it uses a small bash
the Snoopy PHP Class, Split
 
 
script to get the news, and
the page HTML into a more
 
 
then a perl script for
managable portion, Remove
 
 
inserting news into MySQL.
un-wanted HTML tag
 
 
Finally, Using PHP it makes
attributes, Reformat HTML,
 
 
a simple configurable table
adjust spacing and remove
 
 
for news results.
entities, Match content with
 
 
 
regular expressions and
 
 
 
Store content into a MySQL
 
 
 
database for future use.
 
 
 
Data mining services
 
 
 
available for online
 
 
 
resources such as Google,
 
 
 
DMOZ, Yahoo, Yellow Pages
 
 
 
and several others.
 
 


Date: Dec, 11 1999


Date: May, 31 2012
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