Python client for the Porkbun API
pkb_client is a python client for the Porkbun API. It supports the v3 of the API. You can find the official documentation of the Porkbun API here.
This project only works with Python 3, make sure you have at least Python 3.9 installed.
Use the following command to install pkb_client with pip:
pip3 install pkb_client
You can also very easily update to a newer version:
pip3 install pkb_client -U
git clone https://github.com/infinityofspace/pkb_client.git
cd pkb_client
pip3 install .
Each request must be made with the API key and secret. You can easily create them at Porkbun. Just follow
the official instructions. Make sure that you explicitly
activate the API usage for your domain at the end. There are two ways to use pkb_client
. The first way is to use it as
a Python module. See the module documentation for more information. The
second way is to use the module from the command line, see below for more information.
After installation pkb_client is available under the command pkb-client
.
You have to specify your API key and secret each time as follows:
pkb-client -k <YOUR-API-KEY> -s <YOUR-API-SECRET> ping
If you don't want to specify the key and secret in the program call, because for example the command line calls are
logged, and you don't want to log the API access, then you can also set the environment variables PKB_API_KEY
and
PKB_API_SECRET
. If you not specify API key and secret in any way, pkb-client asks for a user input. The command line
arguments of the API key and secret have the highest priority.
You can see an overview of all usable cli methods via the help:
pkb-client -h
If you need more help on a supported API method, you can use the following command, for example for the ping method:
pkb-client ping -h
Create a new TXT record for the subdomain test
of the domain example.com
with the value porkbun is cool
and a TTL
of 500
:
pkb-client -k <YOUR-API-KEY> -s <YOUR-API-KEY-SECRET> dns-create example.com TXT "porkbun is cool" --name test --ttl 500
The call returns the DNS record id. The record DNS ids are used to distinguish the DNS records and can be used for editing or deleting records. The ID is only a Porkbun internal identifier and is not publicly available.
Delete the DNS record with the ID 12345
of the domain example.com
:
pkb-client -k <YOUR-API-KEY> -s <YOUR-API-SECRET> dns-delete example.com 12345
Get all DNS records of the domain example.com
:
pkb-client -k <YOUR-API-KEY> -s <YOUR-API-SECRET> dns-retrieve example.com
Change the TXT DNS record content with the ID 456789
of the domain example.com
to the answer is 42
:
pkb-client -k <YOUR-API-KEY> -s <YOUR-API-SECRET> dns-edit example.com 456789 TXT "the answer is 42"
Exporting all current DNS records of the domain example.com
to the file dns_recods.json
:
pkb-client -k <YOUR-API-KEY> -s <YOUR-API-SECRET> dns-export example.com dns_recods.json
Remove all existing DNS records of the domain example.com
and restore the DNS records from the file dns_recods.json
:
pkb-client -k <YOUR-API-KEY> -s <YOUR-API-SECRET> dns-import example.com dns_recods.json clear
Note: The dns-import
function uses the record ID to distinguish DNS records.
Currently, TTL smaller than 600
are ignored by the Porkbun API and the minimum value is 600
, although a minimum
value of 300
is supported and allowed by the RFC standard. However,
you can do TTL smaller than 600
via the web dashboard.
All modules used by this project are listed below:
Name | License |
---|---|
requests | Apache 2.0 |
setuptools | MIT |
sphinx | BSD 2 Clause |
dnspython | ISC |
responses | Apache 2.0 |
ruff | MIT |
Furthermore, this readme file contains embeddings of Shields.io and PePy images.
This project is not associated with Porkbun LLC.
First get the source code:
git clone https://github.com/infinityofspace/pkb_client.git
cd pkb_client
Now create a virtual environment, activate it and install all dependencies with the following commands:
python3 -m venv venv
source venv/bin/activate
pip3 install -r requirements.txt
Now you can start developing.
Feel free to contribute to this project by creating a pull request. Before you create a pull request, make sure that you code meets the following requirements (you can use the specified commands to check/fulfill the requirements):
- check unit tests:
python -m unittest tests/*.py
- format the code:
ruff format
- check linting errors:
ruff check
You can run the tests with the following command:
python -m unittest tests/*.py
To build the documentation you can use the following commands:
sphinx-apidoc -f -o docs/source pkb_client
cd docs && make html
MIT - Copyright (c) Marvin Heptner