MTAPI is a small HTTP server that converts the MTA's realtime subway feed from Protocol Buffers/GTFS to JSON. The app also adds caching and makes it possible to retrieve information by location and train line.
This project is under active development and any part of the API may change. Feedback is very welcome.
- /by-location?lat=[latitude]&lon=[longitude]
Returns the 5 stations nearest the provided lat/lon pair.
{
"data": [
{
"N": [
{
"route": "6",
"time": "2014-08-29T14:00:55-04:00"
},
{
"route": "6X",
"time": "2014-08-29T14:10:30-04:00"
},
...
],
"S": [
{
"route": "6",
"time": "2014-08-29T14:04:14-04:00"
},
{
"route": "6",
"time": "2014-08-29T14:11:07-04:00"
},
...
],
"hasData": true,
"id": 123,
"location": [
40.725606,
-73.9954315
],
"name": "Broadway-Lafayette St / Bleecker St",
"routes": [
"6X",
"6"
],
"stops": {
"637": [
40.725915,
-73.994659
],
"D21": [
40.725297,
-73.996204
]
}
},
{
"N": [
{
"route": "6X",
"time": "2014-08-29T14:09:30-04:00"
},
{
"route": "6",
"time": "2014-08-29T14:13:30-04:00"
},
...
],
"S": [
{
"route": "6",
"time": "2014-08-29T14:05:14-04:00"
},
{
"route": "6",
"time": "2014-08-29T14:12:07-04:00"
},
...
],
"hasData": true,
"id": 124,
"location": [
40.723315,
-73.9974215
],
"name": "Spring St / Prince St",
"routes": [
"6X",
"6"
],
"stops": {
"638": [
40.722301,
-73.997141
],
"R22": [
40.724329,
-73.997702
]
}
},
...
],
"updated": "2014-08-29T15:27:27-04:00"
}- /by-route/[route]
Returns all stations on the provided train route.
{
"data": [
{
"N": [
{
"route": "6X",
"time": "2014-08-29T14:01:54-04:00"
},
{
"route": "5",
"time": "2014-08-29T14:04:35-04:00"
},
{
"route": "4",
"time": "2014-08-29T14:07:00-04:00"
},
...
],
"S": [
{
"route": "6",
"time": "2014-08-29T14:01:53-04:00"
},
{
"route": "4",
"time": "2014-08-29T14:04:52-04:00"
},
...
],
"hasData": true,
"id": 12,
"location": [
40.804138,
-73.937594
],
"name": "125 St",
"routes": [
"6X",
"5",
"4",
"6"
],
"stops": {
"621": [
40.804138,
-73.937594
]
}
},
{
"N": [
{
"route": "5",
"time": "2014-08-29T14:07:05-04:00"
},
{
"route": "4",
"time": "2014-08-29T14:09:30-04:00"
},
...
],
"S": [
{
"route": "4",
"time": "2014-08-29T14:02:22-04:00"
},
{
"route": "5",
"time": "2014-08-29T14:03:36-04:00"
},
...
],
"hasData": true,
"id": 123,
"location": [
40.813224,
-73.929849
],
"name": "138 St - Grand Concourse",
"routes": [
"5",
"4"
],
"stops": {
"416": [
40.813224,
-73.929849
]
}
},
...
],
"updated": "2014-08-29T15:25:27-04:00"
}-
/by-id/[id],[id],[id]...
Returns the stations with the provided IDs, in the order provided. IDs should be comma separated with no space characters. -
/routes
Lists available routes.
{
"data": [
"S",
"L",
"1",
"3",
"2",
"5",
"4",
"6",
"6X"
],
"updated": "2014-08-29T15:09:57-04:00"
}MTAPI is a Flask app designed to run under Python 2.7.
- Create a
settings.cfgfile. A sample is provided assettings.cfg.sample. - Set up your environment and install dependencies.
$ virtualenv .venv
$ source .venv/bin/activate
$ pip install -r requirements.txt - Run the server
$ python app.py
If your configuration is named something other than settings.cfg, set the MTAPI_SETTINGS env variable to your configuration path.
This app makes use of Python threads. If running under uWSGI include the --enable-threads flag.
-
MTA_KEY (required)
The API key provided at http://datamine.mta.info/user/register
default: None -
STATIONS_FILE (required)
Path to the JSON file containing station information. See Generating a Stations File for more info.
default: None -
CROSS_ORIGIN
Add CORS headers to the HTTP output.
default: "*" when in debug mode, None otherwise -
MAX_TRAINS
Limits the number of trains that will be listed for each station.
default: 10 -
MAX_MINUTES
Limits how far in advance train information will be listed.
default: 30 -
CACHE_SECONDS
How frequently the app will request fresh data from the MTA API.
default: 60 -
THREADED
Enable background data refresh. This will prevent requests from hanging while new data is retreived from the MTA API.
default: True -
DEBUG
Standard Flask option. Will enabled enhanced logging and wildcard CORS headers.
default: False
The MTA provides several static data files about the subway system but none include canonical information about each station. MTAPI includes a script that will parse the stops.txt and transfers.txt datasets provided by the MTA and attempt to group the different train stops into subway stations. MTAPI will use this JSON file for station names and locations. The grouping is not perfect and editing the resulting files is encouraged.
Usage:
$ python make_stations_csv.py stops.txt transfers.txt > stations.csv
# edit groupings in stations.csv
$ python make_stations_.py stations.csv > stations.json
# edit names in stations.json
Submit a GitHub Issues request.
Here are some projects that use MTAPI.
The project is made available under the MIT license.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent