📦 py17track: A Simple Python API for 17track.net
py17track
is a simple Python library to track packages in
17track.net accounts.
Since this is uses an unofficial API, there's no guarantee that 17track.net
will provide every field for every package, all the time. Additionally, this
API may stop working at any moment.
Python Versions
py17track
is currently supported on:
- Python 3.6
- Python 3.7
- Python 3.8
- Python 3.9
- Python 3.10
Installation
pip install py17track
Usage
import asyncio
from aiohttp import ClientSession
from py17track import Client
async def main() -> None:
"""Run!"""
client = Client()
await client.profile.login('<EMAIL>', '<PASSWORD>')
client.profile.account_id
summary = await client.profile.summary()
packages = await client.profile.packages()
await client.profile.add_package('<TRACKING NUMBER>', '<FRIENDLY NAME>')
asyncio.run(main())
By default, the library creates a new connection to 17track with each coroutine. If you
are calling a large number of coroutines (or merely want to squeeze out every second of
runtime savings possible), an
aiohttp
ClientSession
can be used for connection
pooling:
import asyncio
from aiohttp import ClientSession
from py17track import Client
async def main() -> None:
"""Run!"""
async with ClientSession() as session:
client = Client(session=session)
asyncio.run(main())
Each Package
object has the following info:
destination_country
: the country the package was shipped tofriendly_name
: the human-friendly name of the packageinfo
: a text description of the latest statuslocation
: the current location (if known)timestamp
: the timestamp of the latest eventorigin_country
: the country the package was shipped frompackage_type
: the type of package (if known)status
: the overall package status ("In Transit", "Delivered", etc.)tracking_info_language
: the language of the tracking infotracking_number
: the all-important tracking number
Contributing
- Check for open features/bugs
or initiate a discussion on one.
- Fork the repository.
- (optional, but highly recommended) Create a virtual environment:
python3 -m venv .venv
- (optional, but highly recommended) Enter the virtual environment:
source ./.venv/bin/activate
- Install the dev environment:
script/setup
- Code your new feature or bug fix.
- Write tests that cover your new functionality.
- Run tests and ensure 100% code coverage:
script/test
- Update
README.md
with any new documentation. - Add yourself to
AUTHORS.md
. - Submit a pull request!