Created
June 4, 2017 06:55
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Extracting Email IDs from a Html Page using Beautiful Soup, html2text, Regular Expression https://bigdatacv.com/currentjobs/
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| import requests | |
| from bs4 import BeautifulSoup | |
| r = requests.get("https://bigdatacv.com/currentjobs/") | |
| content = r.text | |
| soup = BeautifulSoup(content, 'html.parser') | |
| print(soup.prettify()) | |
| [s.extract() for s in soup('script')] | |
| [s.extract() for s in soup('style')] | |
| [s.extract() for s in soup('img')] | |
| [s.extract() for s in soup('a')] | |
| print(soup.text) | |
| import html2text | |
| text = html2text.html2text(soup.prettify()) | |
| print(text) | |
| import re | |
| # Code from https://github.com/fredericpierron/extract-email-from-text-python-3/ | |
| regex = re.compile(("([a-z0-9!#$%&*+\/=?^_`{|}~-]+(?:\.[a-z0-9!#$%&'*+\/=?^_`" | |
| "{|}~-]+)*(@|\sat\s)(?:[a-z0-9](?:[a-z0-9-]*[a-z0-9])?(\.|" | |
| "\sdot\s))+[a-z0-9](?:[a-z0-9-]*[a-z0-9])?)")) | |
| def get_emails(s): | |
| """Returns an iterator of matched emails found in string s.""" | |
| # Removing lines that start with '//' because the regular expression | |
| # mistakenly matches patterns like 'http://[email protected]' as '//[email protected]'. | |
| return (email[0] for email in re.findall(regex, s) if not email[0].startswith('//')) | |
| for email in get_emails(text): | |
| print (email) | |
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