Email Scraper
Email Scraper is a Python tool that extracts public email addresses from websites and saves them to a file for easy access. It is designed for developers and security researchers to quickly retrieve email data from a specified website.
Table of Contents
Features
- Extract public email addresses from any given website.
- Save extracted emails to a timestamped text file.
- Command-line interface for ease of use.
Installation
Using pip
-
Install the package from PyPI:
pip install mwwlean-email-scraper
-
Verify the installation:
email_scraper -hThis should show you the help options if the installation was successful.
Usage
Command-Line Interface
Once installed, you can use the email_scraper command to extract emails from a website.
-
Extract emails from a website:
email_scraper http://example.com -
You can also run it in interactive mode:
email_scraper
It will prompt you to enter a URL, and you can type
exitto quit.
Help
To see all available commands and options:
email_scraper -h
Metadata
Release files for mwwlean-email-scraper 0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mwwlean_email_scraper-0.7.tar.gz | 3.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mwwlean_email_scraper-0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.9 kB
Release files / mwwlean_email_scraper-0.7.tar.gz
| Download URL | mwwlean_email_scraper-0.7.tar.gz |
|---|---|
| Size | 3.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.3
|
Release files / mwwlean_email_scraper-0.7-py3-none-any.whl
| Download URL | mwwlean_email_scraper-0.7-py3-none-any.whl |
|---|---|
| Size | 4.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.3
|