ConvertGoogleHistory.py

import json
import csv
import sys
from datetime import datetime
import os

def has_keys(dictionary, keys):
    return all(key in dictionary for key in keys)

def make_reader(in_json):

    # Open location history data
    json_data = json.loads(open(in_json).read())
    #Will read the following keys
    keys_to_check = ['timestamp', 'longitudeE7', 'latitudeE7', 'accuracy']

    # Get the easy fields
    for item in json_data['locations']:
        if has_keys(item, keys_to_check):
            timestamp = item['timestamp']
            if ('.' in timestamp):
                date = datetime.strptime(timestamp, '%Y-%m-%dT%H:%M:%S.%fZ').date()
            else:
                date = datetime.strptime(timestamp, '%Y-%m-%dT%H:%M:%SZ').date()
            tm = timestamp.split('T')[1].split('Z')[0]
            longitude = item['longitudeE7']/10000000.0
            latitude = item['latitudeE7']/10000000.0
            accuracy = item['accuracy']

            yield [date, tm, longitude, latitude, accuracy]


def getFullPath(inPath):
    if(not os.path.isabs(inPath)):
        # we need to set up the absolute path
        script_path = os.path.abspath(__file__)
        path, file = os.path.split(script_path)
        inPath = os.path.join(path, inPath)
    return inPath


# Read the Parameters
in_file = sys.argv[1]
out_file = sys.argv[2]

in_file = getFullPath(in_file)
out_file = getFullPath(out_file)

features = []
# add the Headers
features.append(['Date', 'Time', 'Longitude', 'Latitude', 'Accuracy'])
print("Reading {0}".format(in_file))

reader = make_reader(in_file)

for r in reader:
    features.append(r)

print('Read {0} Records'.format(len(features)-1))

# write this data
with open(out_file, 'w', newline='')as f:
    writer = csv.writer(f)
    writer.writerows(features)

@sitz I tried to run your code but I get a KeyError: 'semanticSegments'.