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)

@dinilj007 - I do a decent amount of python coding but for small things like this I use GPT also. Yours didn't work for my timeline export, so I fed GPT a sample of some of mine, followed by your script and the error message and it gave me a working script. Took less than 2 mins, which is why I didn't figure it out myself haha:

import json
import csv
from datetime import datetime
import os

def make_reader(in_json):
    # Open location history data
    with open(in_json, 'r') as file:
        json_data = json.load(file)

    # Access the "semanticSegments" list
    segments = json_data.get("semanticSegments", [])

    for segment in segments:
        start_time = segment.get('startTime', 'Unknown')
        end_time = segment.get('endTime', 'Unknown')

        # Process the start and end times
        if start_time != 'Unknown':
            if '.' in start_time:
                start_date = datetime.strptime(start_time, '%Y-%m-%dT%H:%M:%S.%f%z').date()
            else:
                start_date = datetime.strptime(start_time, '%Y-%m-%dT%H:%M:%S%z').date()

            start_tm = start_time.split('T')[1].split('-')[0]
        else:
            start_date = 'Unknown'
            start_tm = 'Unknown'

        if end_time != 'Unknown':
            if '.' in end_time:
                end_date = datetime.strptime(end_time, '%Y-%m-%dT%H:%M:%S.%f%z').date()
            else:
                end_date = datetime.strptime(end_time, '%Y-%m-%dT%H:%M:%S%z').date()

            end_tm = end_time.split('T')[1].split('-')[0]
        else:
            end_date = 'Unknown'
            end_tm = 'Unknown'

        # Extract location details from "visit" or "timelinePath"
        lat, lon = None, None

        if 'visit' in segment:
            placeLocation = segment['visit'].get('topCandidate', {}).get('placeLocation', {}).get('latLng', None)
            if placeLocation:
                lat, lon = [float(coord.strip('°')) for coord in placeLocation.split(", ")]

        elif 'timelinePath' in segment:
            # Extract the first point from timelinePath if it exists
            if len(segment['timelinePath']) > 0:
                point = segment['timelinePath'][0].get('point', None)
                if point:
                    lat, lon = [float(coord.strip('°')) for coord in point.split(", ")]

        # Yield the extracted data
        yield [end_date, end_tm, start_date, start_tm, lat, lon]

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

# Hard-coded file paths
in_file = 'input.json'  # Replace with your input JSON file path
out_file = 'output.csv'  # Replace with your desired output CSV file path

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

features = []
# add the Headers
features.append(['End Date', 'End Time', 'Start Date', 'Start Time', 'Latitude', 'Longitude'])
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)