{# Vars for auth docs %}

Python Code Samples

The following code samples, which use the Google APIs Client Library for Python, are available for the YouTube Reporting API and YouTube Analytics API. You can download these code samples from the python folder of the YouTube APIs code sample repository on GitHub.

Bulk reports

Retrieve reports

This code sample demonstrates how to retrieve reports created by a specific job. It calls the jobs.list method to retrieve reporting jobs. It then calls the reports.list method with the jobId parameter set to a specific job id to retrieve reports created by that job. Finally, the sample prints out the download URL for each report.

#!/usr/bin/python

###
#
# This script retrieves YouTube Reporting API reports. Use cases:
# 1. If you specify a report URL, the script downloads that report.
# 2. Otherwise, if you specify a job ID, the script retrieves a list of
#    available reports for that job and prompts you to select a report.
#    Then it retrieves that report as in case 1.
# 3. Otherwise, the list retrieves a list of jobs for the user or,
#    if specified, the content owner that the user is acting on behalf of.
#    Then it prompts the user to select a job, and then executes case 2 and
#    then case 1.
# Usage examples:
# python retrieve_reports.py --content_owner_id=<CONTENT_OWNER_ID> --local_file=<LOCAL_FILE>
# python retrieve_reports.py --content_owner_id=<CONTENT_OWNER_ID> --job_id=<JOB_ID> --local_file=<LOCAL_FILE>
# python retrieve_reports.py --content_owner_id=<CONTENT_OWNER_ID> --report_url=<REPORT_URL> --local_file=<LOCAL_FILE>
#
###

import argparse
import os

import google.oauth2.credentials
import google_auth_oauthlib.flow
from googleapiclient.discovery import build
from googleapiclient.errors import HttpError
from googleapiclient.http import MediaIoBaseDownload
from google_auth_oauthlib.flow import InstalledAppFlow
from io import FileIO


# The CLIENT_SECRETS_FILE variable specifies the name of a file that contains
# the OAuth 2.0 information for this application, including its client_id and
# client_secret. You can acquire an OAuth 2.0 client ID and client secret from
# the {{ Google Cloud Console }} at
# {{ https://cloud.google.com/console }}.
# Please ensure that you have enabled the YouTube Data API for your project.
# For more information about using OAuth2 to access the YouTube Data API, see:
#   https://developers.google.com/youtube/v3/guides/authentication
# For more information about the client_secrets.json file format, see:
#   https://developers.google.com/api-client-library/python/guide/aaa_client_secrets
CLIENT_SECRETS_FILE = 'client_secret.json'

# This OAuth 2.0 access scope allows for read access to YouTube Analytics
# monetary reports for the authenticated user's account. Any request that
# retrieves earnings or ad performance metrics must use this scope.
SCOPES = ['https://www.googleapis.com/auth/yt-analytics-monetary.readonly']
API_SERVICE_NAME = 'youtubereporting'
API_VERSION = 'v1'

# Authorize the request and store authorization credentials.
def get_authenticated_service():
  flow = InstalledAppFlow.from_client_secrets_file(CLIENT_SECRETS_FILE, SCOPES)
  credentials = flow.run_console()
  return build(API_SERVICE_NAME, API_VERSION, credentials = credentials)

# Remove keyword arguments that are not set.
def remove_empty_kwargs(**kwargs):
  good_kwargs = {}
  if kwargs is not None:
    for key, value in kwargs.iteritems():
      if value:
        good_kwargs[key] = value
  return good_kwargs

# Call the YouTube Reporting API's jobs.list method to retrieve reporting jobs.
def list_reporting_jobs(youtube_reporting, **kwargs):
  # Only include the onBehalfOfContentOwner keyword argument if the user
  # set a value for the --content_owner argument.
  kwargs = remove_empty_kwargs(**kwargs)

  # Retrieve the reporting jobs for the user (or content owner).
  results = youtube_reporting.jobs().list(**kwargs).execute()

  if 'jobs' in results and results['jobs']:
    jobs = results['jobs']
    for job in jobs:
      print ('Reporting job id: %s\n name: %s\n for reporting type: %s\n'
        % (job['id'], job['name'], job['reportTypeId']))
  else:
    print 'No jobs found'
    return False

  return True

# Call the YouTube Reporting API's reports.list method to retrieve reports created by a job.
def retrieve_reports(youtube_reporting, **kwargs):
  # Only include the onBehalfOfContentOwner keyword argument if the user
  # set a value for the --content_owner argument.
  kwargs = remove_empty_kwargs(**kwargs)

  # Retrieve available reports for the selected job.
  results = youtube_reporting.jobs().reports().list(
    **kwargs
  ).execute()

  if 'reports' in results and results['reports']:
    reports = results['reports']
    for report in reports:
      print ('Report dates: %s to %s\n       download URL: %s\n'
        % (report['startTime'], report['endTime'], report['downloadUrl']))


# Call the YouTube Reporting API's media.download method to download the report.
def download_report(youtube_reporting, report_url, local_file):
  request = youtube_reporting.media().download(
    resourceName=' '
  )
  request.uri = report_url
  fh = FileIO(local_file, mode='wb')
  # Stream/download the report in a single request.
  downloader = MediaIoBaseDownload(fh, request, chunksize=-1)

  done = False
  while done is False:
    status, done = downloader.next_chunk()
    if status:
      print 'Download %d%%.' % int(status.progress() * 100)
  print 'Download Complete!'


# Prompt the user to select a job and return the specified ID.
def get_job_id_from_user():
  job_id = raw_input('Please enter the job id for the report retrieval: ')
  print ('You chose "%s" as the job Id for the report retrieval.' % job_id)
  return job_id

# Prompt the user to select a report URL and return the specified URL.
def get_report_url_from_user():
  report_url = raw_input('Please enter the report URL to download: ')
  print ('You chose "%s" to download.' % report_url)
  return report_url

if __name__ == '__main__':
  parser = argparse.ArgumentParser()
  parser.add_argument('--content_owner', default='',
      help='ID of content owner for which you are retrieving jobs and reports')
  parser.add_argument('--job_id', default=None,
      help='ID of the job for which you are retrieving reports. If not ' +
           'provided AND report_url is also not provided, then the script ' +
           'calls jobs.list() to retrieve a list of jobs.')
  parser.add_argument('--report_url', default=None,
      help='URL of the report to retrieve. If not specified, the script ' +
           'calls reports.list() to retrieve a list of reports for the ' +
           'selected job.')
  parser.add_argument('--local_file', default='yt_report.txt',
      help='The name of the local file where the downloaded report will be written.')
  args = parser.parse_args()

  youtube_reporting = get_authenticated_service()
  try:
    # If the user has not specified a job ID or report URL, retrieve a list
    # of available jobs and prompt the user to select one.
    if not args.job_id and not args.report_url:
      if list_reporting_jobs(youtube_reporting,
                             onBehalfOfContentOwner=args.content_owner):
        args.job_id = get_job_id_from_user()

    # If the user has not specified a report URL, retrieve a list of reports
    # available for the specified job and prompt the user to select one.
    if args.job_id and not args.report_url:
      retrieve_reports(youtube_reporting,
                       jobId=args.job_id,
                       onBehalfOfContentOwner=args.content_owner)
      args.report_url = get_report_url_from_user()

    # Download the selected report.
    if args.report_url:
      download_report(youtube_reporting, args.report_url, args.local_file)
  except HttpError, e:
    print 'An HTTP error %d occurred:\n%s' % (e.resp.status, e.content)

Create a reporting job

This code sample demonstrates how to create a reporting job. It calls the reportTypes.list method to retrieve a list of available report types. It then calls the jobs.create method to create a new reporting job.

#!/usr/bin/python

# Create a reporting job for the authenticated user's channel or
# for a content owner that the user's account is linked to.
# Usage example:
# python create_reporting_job.py --name='<name>'
# python create_reporting_job.py --content-owner='<CONTENT OWNER ID>'
# python create_reporting_job.py --content-owner='<CONTENT_OWNER_ID>' --report-type='<REPORT_TYPE_ID>' --name='<REPORT_NAME>'

import argparse
import os

import google.oauth2.credentials
import google_auth_oauthlib.flow
from googleapiclient.discovery import build
from googleapiclient.errors import HttpError
from google_auth_oauthlib.flow import InstalledAppFlow


# The CLIENT_SECRETS_FILE variable specifies the name of a file that contains

# the OAuth 2.0 information for this application, including its client_id and
# client_secret. You can acquire an OAuth 2.0 client ID and client secret from
# the {{ Google Cloud Console }} at
# {{ https://cloud.google.com/console }}.
# Please ensure that you have enabled the YouTube Data API for your project.
# For more information about using OAuth2 to access the YouTube Data API, see:
#   https://developers.google.com/youtube/v3/guides/authentication
# For more information about the client_secrets.json file format, see:
#   https://developers.google.com/api-client-library/python/guide/aaa_client_secrets
CLIENT_SECRETS_FILE = 'client_secret.json'

# This OAuth 2.0 access scope allows for read access to the YouTube Analytics monetary reports for
# authenticated user's account. Any request that retrieves earnings or ad performance metrics must
# use this scope.
SCOPES = ['https://www.googleapis.com/auth/yt-analytics-monetary.readonly']
API_SERVICE_NAME = 'youtubereporting'
API_VERSION = 'v1'

# Authorize the request and store authorization credentials.
def get_authenticated_service():
  flow = InstalledAppFlow.from_client_secrets_file(CLIENT_SECRETS_FILE, SCOPES)
  credentials = flow.run_console()
  return build(API_SERVICE_NAME, API_VERSION, credentials = credentials)

# Remove keyword arguments that are not set.
def remove_empty_kwargs(**kwargs):
  good_kwargs = {}
  if kwargs is not None:
    for key, value in kwargs.iteritems():
      if value:
        good_kwargs[key] = value
  return good_kwargs

# Call the YouTube Reporting API's reportTypes.list method to retrieve report types.
def list_report_types(youtube_reporting, **kwargs):
  # Provide keyword arguments that have values as request parameters.
  kwargs = remove_empty_kwargs(**kwargs)
  results = youtube_reporting.reportTypes().list(**kwargs).execute()
  reportTypes = results['reportTypes']

  if 'reportTypes' in results and results['reportTypes']:
    reportTypes = results['reportTypes']
    for reportType in reportTypes:
      print 'Report type id: %s\n name: %s\n' % (reportType['id'], reportType['name'])
  else:
    print 'No report types found'
    return False

  return True


# Call the YouTube Reporting API's jobs.create method to create a job.
def create_reporting_job(youtube_reporting, report_type_id, **kwargs):
  # Provide keyword arguments that have values as request parameters.
  kwargs = remove_empty_kwargs(**kwargs)

  reporting_job = youtube_reporting.jobs().create(
    body=dict(
      reportTypeId=args.report_type,
      name=args.name
    ),
    **kwargs
  ).execute()

  print ('Reporting job "%s" created for reporting type "%s" at "%s"'
         % (reporting_job['name'], reporting_job['reportTypeId'],
             reporting_job['createTime']))


# Prompt the user to enter a report type id for the job. Then return the id.
def get_report_type_id_from_user():
  report_type_id = raw_input('Please enter the reportTypeId for the job: ')
  print ('You chose "%s" as the report type Id for the job.' % report_type_id)
  return report_type_id

# Prompt the user to set a job name
def prompt_user_to_set_job_name():
  job_name = raw_input('Please set a name for the job: ')
  print ('Great! "%s" is a memorable name for this job.' % job_name)
  return job_name


if __name__ == '__main__':
  parser = argparse.ArgumentParser()
  # The 'name' option specifies the name that will be used for the reporting job.
  parser.add_argument('--content-owner', default='',
      help='ID of content owner for which you are retrieving jobs and reports.')
  parser.add_argument('--include-system-managed', default=False,
      help='Whether the API response should include system-managed reports')
  parser.add_argument('--name', default='',
    help='Name for the reporting job. The script prompts you to set a name ' +
         'for the job if you do not provide one using this argument.')
  parser.add_argument('--report-type', default=None,
    help='The type of report for which you are creating a job.')
  args = parser.parse_args()

  youtube_reporting = get_authenticated_service()

  try:
    # Prompt user to select report type if they didn't set one on command line.
    if not args.report_type:
      if list_report_types(youtube_reporting,
                           onBehalfOfContentOwner=args.content_owner,
                           includeSystemManaged=args.include_system_managed):
        args.report_type = get_report_type_id_from_user()
    # Prompt user to set job name if not set on command line.
    if not args.name:
      args.name = prompt_user_to_set_job_name()
    # Create the job.
    if args.report_type:
      create_reporting_job(youtube_reporting,
                           args,
                           onBehalfOfContentOwner=args.content_owner)
  except HttpError, e:
    print 'An HTTP error %d occurred:\n%s' % (e.resp.status, e.content)

Targeted query reports

Retrieve daily channel statistics

This example calls the YouTube Analytics API to retrieve daily views and other metrics for the authorizing user's channel for the 2017 calendar year. The sample uses the Google APIs Python client library.

The code requests the user's permission to access the https://www.googleapis.com/auth/yt-analytics.readonly scope.

SCOPES = ['https://www.googleapis.com/auth/yt-analytics.readonly']

Your application might also need to request access to other scopes. For example, an application that calls the YouTube Analytics API and the YouTube Data API might need users to also grant access to their YouTube accounts. The authorization overview identifies scopes typically used in applications that call the YouTube Analytics API.

Set up authorization credentials

Before running this sample locally for the first time, you need to set up authorization credentials for your project:

  1. Create or select a project in the Google API Console.
  2. Enable the YouTube Analytics API for your project.
  3. At the top of the Credentials page, select the OAuth consent screen tab. Select an Email address, enter a Product name if not already set, and click the Save button.
  4. On the Credentials page, click the Create credentials button and select Oauth client ID.
  5. Select the application type Other, enter the name "YouTube Analytics API Quickstart", and click the Create button.
  6. Click OK to dismiss the resulting dialog.
  7. Click the file_download (Download JSON) button to the right of the client ID.
  8. Move the downloaded file to your working directory.

Install required libraries

You also need to install the Google APIs Client Library for Python and some additional libraries:

pip install --upgrade google-api-python-client
pip install --upgrade google-auth google-auth-oauthlib google-auth-httplib2

Run the code

Now, you are ready to actually test the sample:

  1. Copy the code sample below to your working directory.
  2. In the sample, update the value of the CLIENT_SECRETS_FILE variable to match the location of the file that you downloaded after setting up your authorization credentials.
  3. Run the sample code in a terminal window:
    python yt_analytics_v2.py
  4. Go through the authorization flow. The auth flow might automatically load in your browser, or you might need to copy the auth URL into a browser window. At the end of the authorization flow, if necessary, paste the authorization code displayed in the browser into your terminal window and click [return].
  5. The API query executes and the JSON response is output to the terminal window.

Sample code

# -*- coding: utf-8 -*-

import os
import google.oauth2.credentials
import google_auth_oauthlib.flow
from googleapiclient.discovery import build
from googleapiclient.errors import HttpError
from google_auth_oauthlib.flow import InstalledAppFlow

SCOPES = ['https://www.googleapis.com/auth/yt-analytics.readonly']

API_SERVICE_NAME = 'youtubeAnalytics'
API_VERSION = 'v2'
CLIENT_SECRETS_FILE = 'YOUR_CLIENT_SECRET_FILE.json'
def get_service():
  flow = InstalledAppFlow.from_client_secrets_file(CLIENT_SECRETS_FILE, SCOPES)
  credentials = flow.run_console()
  return build(API_SERVICE_NAME, API_VERSION, credentials = credentials)

def execute_api_request(client_library_function, **kwargs):
  response = client_library_function(
    **kwargs
  ).execute()

  print(response)

if __name__ == '__main__':
  # Disable OAuthlib's HTTPs verification when running locally.
  # *DO NOT* leave this option enabled when running in production.
  os.environ['OAUTHLIB_INSECURE_TRANSPORT'] = '1'

  youtubeAnalytics = get_service()
  execute_api_request(
      youtubeAnalytics.reports().query,
      ids='channel==MINE',
      startDate='2017-01-01',
      endDate='2017-12-31',
      metrics='estimatedMinutesWatched,views,likes,subscribersGained'
      dimensions='day',
      sort='day'
  )