Python library for accessing MTA (Metropolitan Transportation Authority) real-time transit data for NYC
Project description
py-nymta
Python library for accessing MTA (Metropolitan Transportation Authority) real-time transit data for NYC.
Features
- Simple, clean async API for accessing MTA subway real-time arrival data
- Support for all MTA subway lines
- Compatible with Home Assistant (aiohttp-based)
- Optional session management - use your own aiohttp session or let the library manage it
- Compatible with protobuf 6.x
- Type hints for better IDE support
- Extensible design for future bus API support
Installation
pip install py-nymta
Usage
Basic Example
import asyncio
from pymta import SubwayFeed
async def main():
# Create a feed for the N/Q/R/W lines (library manages the session)
async with SubwayFeed(feed_id="N") as feed:
# Get the next 3 arrivals for the Q line at station B08S (southbound)
arrivals = await feed.get_arrivals(route_id="Q", stop_id="B08S")
for arrival in arrivals:
print(f"Route {arrival.route_id} to {arrival.destination}")
print(f" Arrives at: {arrival.arrival_time}")
print(f" Stop ID: {arrival.stop_id}")
asyncio.run(main())
Finding the Feed ID for a Route
import asyncio
from pymta import SubwayFeed
async def main():
# Get the feed ID for a specific route
feed_id = SubwayFeed.get_feed_id_for_route("Q")
print(f"The Q line is in feed: {feed_id}") # Output: N
# Create a feed using the discovered feed_id
async with SubwayFeed(feed_id=feed_id) as feed:
arrivals = await feed.get_arrivals(route_id="Q", stop_id="B08S")
asyncio.run(main())
Custom Timeout and Max Arrivals
import asyncio
from pymta import SubwayFeed
async def main():
# Create a feed with custom timeout
async with SubwayFeed(feed_id="1", timeout=60) as feed:
# Get up to 5 arrivals instead of the default 3
arrivals = await feed.get_arrivals(
route_id="1",
stop_id="127N", # Times Square - 42 St (northbound)
max_arrivals=5
)
asyncio.run(main())
Using Your Own aiohttp Session (Recommended for Home Assistant)
import asyncio
import aiohttp
from pymta import SubwayFeed
async def main():
# Provide your own aiohttp session for better connection pooling
async with aiohttp.ClientSession() as session:
feed = SubwayFeed(feed_id="N", session=session)
# Make multiple requests using the same session
q_arrivals = await feed.get_arrivals(route_id="Q", stop_id="B08S")
n_arrivals = await feed.get_arrivals(route_id="N", stop_id="B08S")
print(f"Q train arrivals: {len(q_arrivals)}")
print(f"N train arrivals: {len(n_arrivals)}")
asyncio.run(main())
Error Handling
import asyncio
from pymta import SubwayFeed, MTAFeedError
async def main():
async with SubwayFeed(feed_id="A") as feed:
try:
arrivals = await feed.get_arrivals(route_id="A", stop_id="A42N")
except MTAFeedError as e:
print(f"Error fetching arrivals: {e}")
asyncio.run(main())
Station IDs and Directions
MTA station IDs include a direction suffix:
Nsuffix: Northbound/Uptown directionSsuffix: Southbound/Downtown direction
For example:
127N: Times Square - 42 St (northbound)127S: Times Square - 42 St (southbound)B08N: DeKalb Av (northbound)B08S: DeKalb Av (southbound)
Note: These are MTA designations and don't always correspond to geographic north/south.
Feed IDs
The MTA groups subway lines into feeds:
| Feed ID | Lines |
|---|---|
1 |
1, 2, 3, 4, 5, 6, GS |
A |
A, C, E, H, FS |
N |
N, Q, R, W |
B |
B, D, F, M |
L |
L |
SI |
SIR (Staten Island Railway) |
G |
G |
J |
J, Z |
7 |
7, 7X |
API Reference
SubwayFeed
Main class for accessing subway GTFS-RT feeds. Supports async context manager protocol.
__init__(feed_id: str, timeout: int = 30, session: Optional[aiohttp.ClientSession] = None)
Initialize the subway feed.
Parameters:
feed_id: The feed ID (e.g., '1', 'A', 'N', 'B', 'L', 'SI', 'G', 'J', '7')timeout: Request timeout in seconds (default: 30)session: Optional aiohttp ClientSession. If not provided, a new session will be created for each request.
Raises:
ValueError: If feed_id is not valid
async get_arrivals(route_id: str, stop_id: str, max_arrivals: int = 3) -> list[Arrival]
Get upcoming train arrivals for a specific route and stop.
Parameters:
route_id: The route/line ID (e.g., '1', 'A', 'Q')stop_id: The stop ID including direction (e.g., '127N', 'B08S')max_arrivals: Maximum number of arrivals to return (default: 3)
Returns:
- List of
Arrivalobjects sorted by arrival time
Raises:
MTAFeedError: If feed cannot be fetched or parsed
async close()
Close the owned session if it exists. Only needed if not using the async context manager.
Async Context Manager
The SubwayFeed class supports the async context manager protocol:
async with SubwayFeed(feed_id="N") as feed:
arrivals = await feed.get_arrivals(route_id="Q", stop_id="B08S")
# Session is automatically closed when exiting the context
get_feed_id_for_route(route_id: str) -> str (static method)
Get the feed ID for a given route.
Parameters:
route_id: The route/line ID (e.g., '1', 'A', 'Q')
Returns:
- The feed ID for the route
Raises:
ValueError: If route_id is not valid
Arrival
Dataclass representing a single train arrival.
Attributes:
arrival_time(datetime): The datetime when the train will arrive (UTC)route_id(str): The route/line ID (e.g., '1', 'A', 'Q')stop_id(str): The stop ID including direction (e.g., '127N', 'B08S')destination(str): The trip headsign/destination
Exceptions
MTAError: Base exception for the libraryMTAFeedError: Raised when feed cannot be fetched or parsed
Development
Setup
git clone https://github.com/OnFreund/py-nymta.git
cd py-nymta
pip install -e .
Running Tests
pytest
License
MIT License - see LICENSE file for details.
Credits
This library uses the official GTFS-RT protocol buffers from Google's gtfs-realtime-bindings package.
MTA data is provided by the Metropolitan Transportation Authority.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file py_nymta-0.2.0.tar.gz.
File metadata
- Download URL: py_nymta-0.2.0.tar.gz
- Upload date:
- Size: 8.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f65c1901211b456aacccd4102f9a8947313566efc0b614cabec3059d72714146
|
|
| MD5 |
5fbbd6f74a4c4727cd7e8a8e9f049b2b
|
|
| BLAKE2b-256 |
1710d394c57c03def4952d6780a455be300abe8b6f8192635603b4e2215a0adf
|
File details
Details for the file py_nymta-0.2.0-py3-none-any.whl.
File metadata
- Download URL: py_nymta-0.2.0-py3-none-any.whl
- Upload date:
- Size: 7.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c059456fd0d95f9b8b92a46d784c0ce17bb0d4fd2627cb3c55a599796a380c68
|
|
| MD5 |
e184fd7be8649f693cebb52fd385524c
|
|
| BLAKE2b-256 |
250b14ab51681007b7e1afab1cff0300462c98e9160b2e1aabfe4bac14b784c9
|