Skip to main content

Extract email addresses and linkedin profiles from given URL.

Project description

Extract Emails

PyPI version

Extract emails and linkedins profiles from a given website

Documentation

Requirements

  • Python >= 3.7

Installation

pip install extract_emails

Simple Usage

from extract_emails.browsers.requests_browser import RequestsBrowser as Browser
from extract_emails import DefaultFilterAndEmailFactory as Factory
from extract_emails import DefaultWorker

browser = Browser()
url = 'https://en.wikipedia.org/'
factory = Factory(website_url=url, browser=browser)
worker = DefaultWorker(factory)
data = worker.get_data()
print(data)
"""
[
    PageData(
        website='https://en.wikipedia.org/',
        page_url='https://en.wikipedia.org/Email_address',
        data={'email': ['"John.Doe."@example.com', 'x@example.com']}
    ),
    PageData(
        website='https://en.wikipedia.org/',
        page_url='https://en.wikipedia.org/Email_address2',
        data={'email': ['"John.Doe2."@example.com', 'x2@example.com']}
    ),
]
"""

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

extract-emails-5.1.2.tar.gz (17.8 kB view hashes)

Uploaded Source

Built Distribution

extract_emails-5.1.2-py3-none-any.whl (27.4 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page