Scrapes TFRs from FAA site https://tfr.faa.gov/ and details for each TFR.
pip install tfr-scraper
tfr_list() #Returns the basic list of TFRs
#convert_degrees boolean is optinal defaults to true, converts coordinates from dms to dd ("26.02333333N", 097.12833333W") >> (26.02333333, -97.12833333)
parse_tfr(notam_number, convert_degrees) #Parses a notam number in full format like (1/8339) and will return the details of the tfr.
get_list_and_parse_all(convert_degrees) #Downloads TFR list and parses all combines details with list and returns it.
save_detailed_all(filepath) #Does get_list_and_parse_all() and saves as a json, filepath is optional default is ./detailed_tfrs.json
save_detailed_all_cleaned(filepath) #Does get_list_and_parse_all() but also cleans some broken tfrs and saves as a json, filepath is optional default is ./detailed_tfrs.json- TFRs have many types wether it be just a circle or a polygon or a TFR can have multiple circles/polygons, this scraper will parse each.
- Below is an example of each and the type of shapes the parser will return in the shapes list for each when the details are parsed
!
"shapes": [
{
"type": "circle",
"radius": 3,
"lat": 28.4125,
"lon": -81.57222222,
"txtName": "Area",
"valDistVerUpper": 3000,
"valDistVerLower": 0,
"uomDistVerUpper": "FT",
"uomDistVerLower": "FT"
}
]!
"shapes": [
{
"type": "poly",
"points": [
[
45.18833333,
-114.52583333
],
[
45.25972222,
-114.30388889
],
[
45.1,
-114.30388889
],
[
45.1,
-114.52583333
]
],
"txtName": "Hazard Area1",
"valDistVerUpper": 14500,
"valDistVerLower": 0,
"uomDistVerUpper": "FT",
"uomDistVerLower": "FT"
}
]- Any shape with a arc point.
!
"shapes": [
{
"type": "polyarc",
"points": [
[
13.64166667,
145.13527778
],
[
13.47666667,
144.74694444
],
[
13.51194444,
144.63722222
],
[
13.5875,
144.61944444
]
],
"arcRadius": 15.3,
"arcPoint": [
13.64166667,
145.13527778
],
"all_points": [
[
13.64166667,
145.13527778
],
[
13.47666667,
144.74694444
],
[
13.51194444,
144.63722222
],
[
13.5875,
144.61944444
],
[
13.60962359,
144.62337227
],
[
13.63154738,
144.62777753
],
[
13.65301205,
144.63412072
],
#Many more points
],
"txtName": "Area A",
"valDistVerUpper": 200,
"valDistVerLower": 2600,
"uomDistVerUpper": "FL",
"uomDistVerLower": "FT"
},
]- "points" represents only straight line points, can be used with "arcPoint" and "arcRadius" to create full shape
- "all_points" represents all points to create the entire polygon easily.
- Any shape, circle or poly that has parts that are excluded from TFR.
- Shape is returned as "all_points" only which represent one polygon excluding parts.
!
"shapes": [
{
"type": "polyexclude",
"all_points": [
[
40.16161713,
-75.90540565
],
[
40.15632213,
-75.92194558
],
[
40.13739634,
-75.96895934
],
[
40.11538045,
-76.01361666
],
#Many more points
],
"txtName": "Area A",
"valDistVerUpper": 17999,
"valDistVerLower": 0,
"uomDistVerUpper": "FT",
"uomDistVerLower": "FT"
},
]Single TFR object from list w/o details parsed
{
"Date": "08/11/2021",
"NOTAM": "1/4928",
"Facility": "ZSE",
"State": "OR",
"Type": "HAZARDS",
"Description": "CANYONVILLE, OR, Wednesday, August 11, 2021 through Wednesday, September 01, 2021 UTC",
"Zoom": "",
},A detailed object when combined with info from list
{
"Date": "08/11/2021",
"NOTAM": "1/4928",
"Facility": "ZSE",
"State": "OR",
"Type": "HAZARDS",
"Description": "CANYONVILLE, OR, Wednesday, August 11, 2021 through Wednesday, September 01, 2021 UTC",
"Zoom": "",
"details": {
"txtDescrPurpose": "TO PROVIDE A SAFE ENVIRONMENT FOR FIRE FIGHTING AVIATION OPS",
"txtLocalName": "1/4928",
"dateEffective": "2021-08-11T16:30:00",
"dateExpire": "2021-09-01T05:00:00",
"codeTimeZone": "UTC",
"codeExpirationTimeZone": "UTC",
"shapes": [
{
"type": "poly",
"points": [
[
42.97138889,
-123.265
],
[
42.975,
-123
],
[
42.86666667,
-123
],
[
42.82361111,
-123.08805556
],
[
42.75555556,
-123.0875
],
[
42.75333333,
-123.26694444
]
],
"txtName": "Hazard Area1",
"valDistVerUpper": 8500,
"valDistVerLower": 0,
"uomDistVerUpper": "FT",
"uomDistVerLower": "FT"
}
]
}
}- html_table_parser.parser https://pypi.org/project/html-table-parser-python3/
- untangle https://pypi.org/project/untangle/
- pandas https://pypi.org/project/pandas/
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