JSON metedata file writing nestled floats to .txt or .csv - gis

Question

Very new to python so please forgive me if this is a silly question but I have been attempting to loop an extraction of certain information within a .json file (specifically the date and one value in particular) in order to create a time series. Due to me having over 300 files I would like this to be done automatically, in order to easily create a time series of certain values. I have managed to print the data, however have failed to extract this information to a text file that would be readable in something like excel.
Please find attached both the example .json file I am trying to extract and my code so far. Thanks!
{
"AcquasitionInfo": {
"Date": {
"Day": 27,
"Month": 3,
"Year": 2011
},
"EarthSunDistance": 0.9977766,
"SolarAzimuth": 154.94013617,
"SolarZenith": 53.1387049,
"Time": {
"Hour": 11,
"Minute": 0,
"Second": 21
},
"sensorAzimuth": 0.0,
"sensorZenith": 0.0
},
"FileInfo": {
"CLOUD_MASK": "LS5TM_20110327_lat53lon354_r23p204_clouds.kea",
"FileBaseName": "LS5TM_20110327_lat53lon354_r23p204",
"IMAGE_DEM": "LS5TM_20110327_lat53lon354_r23p204_dem.kea",
"METADATA": "LS5TM_20110327_lat53lon354_r23p204_meta.json",
"ProviderMetadata": "LT05_L1TP_204023_20110327_20161208_01_T1_MTL.txt",
"RADIANCE": "LS5TM_20110327_lat53lon354_r23p204_vmsk_mclds_rad.kea",
"RADIANCE_WHOLE": "LS5TM_20110327_lat53lon354_r23p204_vmsk_rad.kea",
"SREF_6S_IMG": "LS5TM_20110327_lat53lon354_r23p204_vmsk_mclds_topshad_rad_srefdem.kea",
"STD_SREF_IMG": "LS5TM_20110327_lat53lon354_r23p204_vmsk_mclds_topshad_rad_srefdem_stdsref.kea",
"THERMAL_BRIGHT": "LS5TM_20110327_lat53lon354_r23p204_vmsk_thrad_thermbright.kea",
"THERMAL_BRIGHT_WHOLE": "LS5TM_20110327_lat53lon354_r23p204_vmsk_thrad_thermbright.kea",
"THERM_RADIANCE_WHOLE": "LS5TM_20110327_lat53lon354_r23p204_vmsk_thermrad.kea",
"TOA": "LS5TM_20110327_lat53lon354_r23p204_vmsk_mclds_rad_toa.kea",
"TOA_WHOLE": "LS5TM_20110327_lat53lon354_r23p204_vmsk_rad_toa.kea",
"TOPO_SHADOW_MASK": "LS5TM_20110327_lat53lon354_r23p204_toposhad.kea",
"VALID_MASK": "LS5TM_20110327_lat53lon354_r23p204_valid.kea",
"VIEW_ANGLE": "LS5TM_20110327_lat53lon354_r23p204_viewangle.kea"
},
"ImageInfo": {
"CellSizeRefl": 30.0,
"CellSizeTherm": 30.0,
"CloudCover": 52.0,
"CloudCoverLand": 79.0
},
"LocationInfo": {
"Geographical": {
"BBOX": {
"BLLat": 52.06993,
"BLLon": -5.34028,
"BRLat": 52.08621,
"BRLon": -1.72003,
"TLLat": 54.09075,
"TLLon": -5.45257,
"TRLat": 54.10827,
"TRLon": -1.65856
},
"CentreLat": 53.10330325240661,
"CentreLon": -3.5429440927905724
},
"Projected": {
"BBOX": {
"BLX": 354735.0,
"BLY": 5776815.0,
"BRX": 572985.0,
"BRY": 5776815.0,
"TLX": 354735.0,
"TLY": 5992035.0,
"TRX": 572985.0,
"TRY": 5992035.0
},
"CentreX": 463860.0,
"CentreY": 5884425.0,
"VPOLY": {
"MaxXX": 572985.0,
"MaxXY": 5950185.0,
"MaxYX": 405795.0,
"MaxYY": 5992035.0,
"MinXX": 354735.0,
"MinXY": 5819025.0,
"MinYX": 521775.0,
"MinYY": 5776815.0
}
}
},
"ProductsInfo": {
"ARCSIProducts": [
"CLOUDS",
"DOSAOTSGL",
"STDSREF",
"METADATA"
],
"ARCSI_AOT_RANGE_MAX": 0.5,
"ARCSI_AOT_RANGE_MIN": 0.05,
"ARCSI_AOT_VALUE": 0.5,
"ARCSI_CLOUD_COVER": 0.627807080745697,
"ARCSI_LUT_ELEVATION_MAX": 1100,
"ARCSI_LUT_ELEVATION_MIN": -100,
"ProcessDate": {
"Day": 11,
"Month": 7,
"Year": 2018
},
"ProcessTime": {
"Hour": 7,
"Minute": 24,
"Second": 55
}
},
"SensorInfo": {
"ARCSISensorName": "LS5TM",
"Path": 204,
"Row": 23,
"SensorID": "TM",
"SpacecraftID": "LANDSAT_5"
},
"SoftwareInfo": {
"Name": "ARCSI",
"URL": "http://www.rsgislib.org/arcsi",
"Version": "3.1.4"
} }
import glob
import json
jsonfile = glob.glob('*.json')
with open(jsonfile[0]) as f:
data = json.load(f)
print(data["AcquasitionInfo"]["Date"]["Day"])
print(data["AcquasitionInfo"]["Date"]["Month"])
print(data["AcquasitionInfo"]["Date"]["Year"])
print(data["ProductsInfo"]["ARCSI_AOT_VALUE"])
with open('data.txt', 'w') as outfile:
json.dump(["ProductsInfo"]["ARCSI_AOT_VALUE"], outfile)

Answer 1

You forgot the data in the last line :
import glob
import json
jsonfile = glob.glob('*.json')
with open(jsonfile[0]) as f:
data = json.load(f)
print(data["AcquasitionInfo"]["Date"]["Day"])
print(data["AcquasitionInfo"]["Date"]["Month"])
print(data["AcquasitionInfo"]["Date"]["Year"])
print(data["ProductsInfo"]["ARCSI_AOT_VALUE"])
with open('data.txt', 'w') as outfile:
json.dump(data["ProductsInfo"]["ARCSI_AOT_VALUE"], outfile)
EDIT:
You can do like this :
import json
import os
for file in os.listdir("."):
if file.endswith(".json"):
with open(file) as f:
data = json.load(f)
with open('data.txt', 'a') as outfile:
json.dump(data["ProductsInfo"]["ARCSI_AOT_VALUE"], outfile)
outfile.write(';')