Email Scraper

README.md

Simple Email Scraper

This contains two files, scraper.sh and scraper.py.

scraper.sh is useful for web pages where email addresses are visible on the rendered page. scraper.py is useful for web pages where email addresses are available anywhere within the HTML (and more expensive).

Usage

./scraper.sh http://example.com

Or

./scraper.py http://example.com

LICENSE.txt

            DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE
   TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION

  0. You just DO WHAT THE FUCK YOU WANT TO. 

scrape.py

#!/usr/bin/python
#  This program is free software. It comes without any warranty, to
#  the extent permitted by applicable law. You can redistribute it
#  and/or modify it under the terms of the Do What The Fuck You Want
#  To Public License, Version 2, a copy of which is provided in the 
#  file LICENSE.txt. 

# Enclose the line below in a loop to have it scrape over multiple pages of a site.
# This line currently scrapes one page to pull out emails. 

import re
import sys
import urllib

url = urllib.urlopen(sys.argv[1])
response = url.read() 

regex = re.compile(r'[\w\-][\w\-\.]+@[\w\-][\w\-\.]+[a-zA-Z]{1,4}')

emails = regex.findall(response)
with open('emails.csv', 'w+') as email_file: 
    email_file.write('\n'.join(set(emails)))

scrape.sh

#/bin/bash
#  This program is free software. It comes without any warranty, to
#  the extent permitted by applicable law. You can redistribute it
#  and/or modify it under the terms of the Do What The Fuck You Want
#  To Public License, Version 2, a copy of which is provided in the 
#  file LICENSE.txt. 

# Enclose the line below in a loop to have it scrape over multiple pages of a site.
# This line currently scrapes one page to pull out emails. 

curl -s "$1" | sed 's/<[^>]*>//g' | sed -e 's/^[ \t]*//' | sed  's/&nbsp;//' | grep -srhw "[[:alnum:]_.-]\+@[[:alnum:]_.-]\+" >> emails.csv

Epic license!! Can I ask some questions? I'm looking to create a python bot that is able to read links from a list such as a csv file find mail and other keywords in the page passed and create a row in another csv file with scraped data. There is Python libs that can do in my case?

I'm new of python do something like that can waste a lot of time for me...

How much it will cost a dev like this in your opinion?

Thanks for your attention.

Antonio

#For Python3

import re
import sys
import urllib
import urllib.request

with urllib.request.urlopen(sys.argv[1]) as url:
    response = url.read()

regex = re.compile(r'[\w\-][\w\-\.]+@[\w\-][\w\-\.]+[a-zA-Z]{1,4}')

emails = regex.findall(response)
with open('emails.csv', 'w+') as email_file: 
    email_file.write('\n'.join(set(emails)))