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)

I made a minor adjustment using ChatGPT (not a coder at all, so please check) and it worked!

please replace path in/out with the relevant details.. the file that was released was kepler compatible for me! Maybe someone with more coding experience can adjust, improve it?

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)
    
    for item in json_data:
        end_time = item.get('endTime', 'Unknown')
        start_time = item.get('startTime', '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]

        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]

        # Extract location details
        location = 'Unknown Location'
        lat, lon = None, None
        
        if 'visit' in item:
            placeLocation = item['visit'].get('topCandidate', {}).get('placeLocation', 'Unknown')
            if 'geo:' in placeLocation:
                location = placeLocation.split('geo:')[1]
                lat, lon = location.split(',')
        
        elif 'activity' in item:
            placeLocation = item['activity'].get('start', 'Unknown')
            if 'geo:' in placeLocation:
                location = placeLocation.split('geo:')[1]
                lat, lon = location.split(',')

        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 = 'path/to/your/input.json'  # Replace with your input JSON file path
out_file = 'path/to/your/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)

@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)