使用Python中的GoogleAnalytics的应用程序客户端ID和客户端机密获取刷新令牌

Question

我正在尝试建立一个连接，为Google Analytics提取数据。我创建了一个应用程序，获得了client_id和client_secret，但发现获取刷新令牌很困难。我使用的是Python，下面的链接似乎对我不起作用，因为范围更改为scope=u'https://www.googleapis.com/auth/analytics.readonly'

https://github.com/googleads/googleads-python-lib/blob/master/examples/adwords/authentication/generate_refresh_token.py

有人知道如何使用Python完成它吗？

Answer 1

我不确定当你想使用谷歌分析时，为什么要使用广告词的示例。

我建议你看看谷歌分析python quickstart。库本身将为你处理刷新访问令牌的问题。

"""Hello Analytics Reporting API V4."""
import argparse
from apiclient.discovery import build
import httplib2
from oauth2client import client
from oauth2client import file
from oauth2client import tools
SCOPES = ['https://www.googleapis.com/auth/analytics.readonly']
CLIENT_SECRETS_PATH = 'client_secrets.json' # Path to client_secrets.json file.
VIEW_ID = '<REPLACE_WITH_VIEW_ID>'

def initialize_analyticsreporting():
"""Initializes the analyticsreporting service object.
Returns:
analytics an authorized analyticsreporting service object.
"""
# Parse command-line arguments.
parser = argparse.ArgumentParser(
formatter_class=argparse.RawDescriptionHelpFormatter,
parents=[tools.argparser])
flags = parser.parse_args([])
# Set up a Flow object to be used if we need to authenticate.
flow = client.flow_from_clientsecrets(
CLIENT_SECRETS_PATH, scope=SCOPES,
message=tools.message_if_missing(CLIENT_SECRETS_PATH))
# Prepare credentials, and authorize HTTP object with them.
# If the credentials don't exist or are invalid run through the native client
# flow. The Storage object will ensure that if successful the good
# credentials will get written back to a file.
storage = file.Storage('analyticsreporting.dat')
credentials = storage.get()
if credentials is None or credentials.invalid:
credentials = tools.run_flow(flow, storage, flags)
http = credentials.authorize(http=httplib2.Http())
# Build the service object.
analytics = build('analyticsreporting', 'v4', http=http)
return analytics
def get_report(analytics):
# Use the Analytics Service Object to query the Analytics Reporting API V4.
return analytics.reports().batchGet(
body={
'reportRequests': [
{
'viewId': VIEW_ID,
'dateRanges': [{'startDate': '7daysAgo', 'endDate': 'today'}],
'metrics': [{'expression': 'ga:sessions'}]
}]
}
).execute()

def print_response(response):
"""Parses and prints the Analytics Reporting API V4 response"""
for report in response.get('reports', []):
columnHeader = report.get('columnHeader', {})
dimensionHeaders = columnHeader.get('dimensions', [])
metricHeaders = columnHeader.get('metricHeader', {}).get('metricHeaderEntries', [])
rows = report.get('data', {}).get('rows', [])
for row in rows:
dimensions = row.get('dimensions', [])
dateRangeValues = row.get('metrics', [])
for header, dimension in zip(dimensionHeaders, dimensions):
print header + ': ' + dimension
for i, values in enumerate(dateRangeValues):
print 'Date range (' + str(i) + ')'
for metricHeader, value in zip(metricHeaders, values.get('values')):
print metricHeader.get('name') + ': ' + value

def main():
analytics = initialize_analyticsreporting()
response = get_report(analytics)
print_response(response)
if __name__ == '__main__':
main()