nasrparse

nasrparse is a parser for the National Airspace System Resources CSV files, released every 28 days by the FAA. It allows pilots, dispatchers, and others interested in flight data to quickly parse the files into Python dictionaries or a SQLite database for use in other programs. For example, the parsed data can then be used as a database for flight planning tools.

If you are interested in seeing the differences between each data cycle, have a look at NASRDiff.

Versions

A changelog is available in the CHANGELOG.md with additional detail and guidance.

Installation

Install using pip:

pip install nasrparse

Usage

Usage is relatively straightforward. Setting the path to the files can be somewhat finnicky, as it will only accept relative paths. To keep things simple, place the NASR files in subdirectory of your project directory. Otherwise, if you want to go up several folders into a download folder, it might end up looking like ../../../../Downloads/28DaySubscription_Effective_[date]/CSV_Data/[date]_CSV.

Given the amount of data, parsing can take a moment. If dumping the data to a file, that can also add time. Dumping every airport to JSON can take around 10 seconds, and the result file is about 16MB.

Examples

Start by importing nasrparse, setting the path to the NASR CSV directory, and then parsing the data.

import nasrparse

# Initialize the parser:
from nasrparse import NASR

# Set the relative path to where you have the NASR CSV files:
n = NASR("./data/CSV_DATA/20_MAR_2025_CSV")

# Parse the data in the file:
n.parse()

Exporting Data

Database

Each object has its own to_db() method. This is useful when you would like the data to persist, or query it using standard database methods:

from nasrparse import NASR

n = NASR("./data/CSV_DATA/20_MAR_2025_CSV")
n.parse()
n.to_db("NASR.db")

NASR Objects

The individual NASR objects are exposed in the package and include the FAA descriptions in the code documentation. More detail can also be found in the individual [section] DATA LAYOUT.pdf (e.g. APT DATA LAYOUT.pdf) files included with the CSV files in the same directory.