Fork of https://github.com/akamhy/waybackpy
Wayback Machine API interface & a command-line tool
archive-webpagearchive-webpagescdx-apiinternet-archiveinternet-archivingosintsavepagenowwayback-machinewayback-machine-apiwayback-machine-pythonweb-archivingwebarchiving
.github/workflows | ||
assets | ||
waybackpy | ||
_config.yml | ||
.gitignore | ||
.whitesource | ||
CONTRIBUTORS.md | ||
LICENSE | ||
README.md | ||
requirements.txt | ||
setup.cfg | ||
setup.py |
Python package & CLI tool that interfaces with the Wayback Machine API
⭐️ Introduction
Waybackpy is a Python package and a CLI tool that interfaces with the Wayback Machine API.
Wayback Machine has 3 client side APIs.
- Save API
- Availability API
- CDX API
All three of these can be accessed by waybackpy.
🏗 Installation
Using pip:
pip install waybackpy
Install directly from GitHub:
pip install git+https://github.com/akamhy/waybackpy.git
Docker Image
Docker Hub : https://hub.docker.com/r/secsi/waybackpy
Docker image is automatically updated on every release by Regulary and Automatically Updated Docker Images (RAUDI).
RAUDI is a tool by SecSI (https://secsi.io), an Italian cybersecurity startup.
Usage
As a Python package
>>> import waybackpy
>>> url = "https://en.wikipedia.org/wiki/Multivariable_calculus"
>>> user_agent = "Mozilla/5.0 (Windows NT 5.1; rv:40.0) Gecko/20100101 Firefox/40.0"
>>> wayback = waybackpy.Url(url, user_agent)
>>> archive = wayback.save()
>>> archive.archive_url
'https://web.archive.org/web/20210104173410/https://en.wikipedia.org/wiki/Multivariable_calculus'
>>> archive.timestamp
datetime.datetime(2021, 1, 4, 17, 35, 12, 691741)
>>> oldest_archive = wayback.oldest()
>>> oldest_archive.archive_url
'https://web.archive.org/web/20050422130129/http://en.wikipedia.org:80/wiki/Multivariable_calculus'
>>> archive_close_to_2010_feb = wayback.near(year=2010, month=2)
>>> archive_close_to_2010_feb.archive_url
'https://web.archive.org/web/20100215001541/http://en.wikipedia.org:80/wiki/Multivariable_calculus'
>>> wayback.newest().archive_url
'https://web.archive.org/web/20210104173410/https://en.wikipedia.org/wiki/Multivariable_calculus'
Full Python package documentation can be found at https://github.com/akamhy/waybackpy/wiki/Python-package-docs.
As a CLI tool
$ waybackpy --save --url "https://en.wikipedia.org/wiki/Social_media" --user_agent "my-unique-user-agent"
https://web.archive.org/web/20200719062108/https://en.wikipedia.org/wiki/Social_media
$ waybackpy --oldest --url "https://en.wikipedia.org/wiki/Humanoid" --user_agent "my-unique-user-agent"
https://web.archive.org/web/20040415020811/http://en.wikipedia.org:80/wiki/Humanoid
$ waybackpy --newest --url "https://en.wikipedia.org/wiki/Remote_sensing" --user_agent "my-unique-user-agent"
https://web.archive.org/web/20201221130522/https://en.wikipedia.org/wiki/Remote_sensing
$ waybackpy --known_urls --url akamhy.github.io --user_agent "my-unique-user-agent" --file
https://akamhy.github.io
https://akamhy.github.io/assets/js/scale.fix.js
https://akamhy.github.io/favicon.ico
https://akamhy.github.io/robots.txt
https://akamhy.github.io/waybackpy/
'akamhy.github.io-urls-iftor2.txt' saved in current working directory
Full CLI documentation can be found at https://github.com/akamhy/waybackpy/wiki/CLI-docs.
License
Released under the MIT License. See license for details.