A Python library to crawl websites and collect emails
Project description
email_finder_website
Introduction
email_finder is a Python library that crawls a specified website and finds all the emails on that website.
Installation
You can install email_finder from PyPI:
pip install email-finder-website
The library requires Python 3.6 or later.
Usage
Once you have the package installed, you can use it in your Python code or from the command line.
Using in Python code:
from email_crawler import EmailCrawler
crawler = EmailCrawler('https://example.com') # replace with the website you want to crawl
crawler.crawl()
Using from the command line:
email_crawler https://example.com # replace with the website you want to crawl
You can also specify the maximum number of pages to crawl:
email_crawler https://example.com --max-pages 10 # replace with the website you want to crawl and maximum pages to crawl
License
This project is licensed under the terms of the MIT license.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file email-finder-website-0.4.tar.gz.
File metadata
- Download URL: email-finder-website-0.4.tar.gz
- Upload date:
- Size: 3.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8d1aeaa2673bc95f7ae73517bc4a78824b7d66501ff026ac940d38b6a0453d29
|
|
| MD5 |
8fc514a95d0b5720b8e274d486b6b5f8
|
|
| BLAKE2b-256 |
e7057fc064f4cec3d91a1731ce8554b5ca04a6b308a445060347840cdb73d22c
|
File details
Details for the file email_finder_website-0.4-py3-none-any.whl.
File metadata
- Download URL: email_finder_website-0.4-py3-none-any.whl
- Upload date:
- Size: 4.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
dab72162731fbb15b9500395d3aa9eb78e81c5ab7555c1f36e35a4433be10851
|
|
| MD5 |
c6642985732960c41756cb5b97e7863b
|
|
| BLAKE2b-256 |
3de192032993a9094f573a10b570cb3f998f2b9c315142bee810801f553e80a7
|