aiorecollect is a Python 3, asyncio-based library for the ReCollect Waste API. It allows users to programmatically retrieve schedules for waste removal in their area, including trash, recycling, compost, and more.

Special thanks to @stealthhacker for the inspiration!

pip install aiorecollect

aiorecollect is currently supported on:

• Python 3.10
• Python 3.11
• Python 3.12

To use aiorecollect, you must know both your ReCollect Place and Service IDs.

In general, cities/municipalities that utilize ReCollect will give you a way to subscribe to a calendar with pickup dates. If you examine the iCal URL for this calendar, the Place and Service IDs are embedded in it:

webcal:https://recollect.a.ssl.fastly.net/api/places/PLACE_ID/services/SERVICE_ID/events.en-US.ics

import asyncio
from datetime import date

from aiorecollect import Client


async def main() -> None:
    """Run."""
    client = await Client("<PLACE ID>", "<SERVICE ID>")

    # The client has a few attributes that you can access:
    client.place_id
    client.service_id

    # Get all pickup events on the calendar:
    pickup_events = await client.async_get_pickup_events()

    # ...or get all pickup events within a certain date range:
    pickup_events = await client.async_get_pickup_events(
        start_date=date(2020, 10, 1), end_date=date(2020, 10, 31)
    )

    # ...or just get the next pickup event:
    next_pickup = await client.async_get_next_pickup_event()


asyncio.run(main())

The PickupEvent object that is returned from the above calls comes with three properties:

• date: a datetime.date that denotes the pickup date
• pickup_types: a list of PickupType objects that will occur with this event
• area_name: the name of the area in which the event is occurring

The PickupType object contains the "internal" name of the pickup type and a human-friendly representation when it exists:

• name: the internal name of the pickup type
• friendly_name: the humany-friendly name of the pickup type (if it exists)

By default, the library creates a new connection to ReCollect 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 aiorecollect import Client


async def main() -> None:
    """Run."""
    async with ClientSession() as session:
        client = await Client("<PLACE ID>", "<SERVICE ID>", session=session)

        # Get to work...


asyncio.run(main())

Thanks to all of our contributors so far!

1. Check for open features/bugs or initiate a discussion on one.
2. Fork the repository.
3. (optional, but highly recommended) Create a virtual environment: python3 -m venv .venv
4. (optional, but highly recommended) Enter the virtual environment: source ./.venv/bin/activate
5. Install the dev environment: script/setup
6. Code your new feature or bug fix on a new branch.
7. Write tests that cover your new functionality.
8. Run tests and ensure 100% code coverage: poetry run pytest --cov aiorecollect tests
9. Update README.md with any new documentation.
10. Submit a pull request!