我从Google Analytics API v3获取数据
https://www.googleapis.com/analytics/v3/data/ga?ids=ga:181335694&metrics=ga:sessions&start-date=7daysAgo&end-date=today
一旦我运行浏览器就会抛出错误
{
"error":{
"errors":[
{
"domain":"global",
"reason":"required",
"message":"Login Required",
"locationType":"header",
"location":"Authorization"
}
],
"code":401,
"message":"Login Required"
}
}
如何解决此错误?
一旦我运行python代码,我就会获得Google Analytics(分析)api,但是我在浏览器中运行时抛出登录错误,这是解决该问题所必需的。
答案 0 :(得分:0)
在谈论Google API时,有两种类型的数据。
任何人和所有人都不拥有的公共数据数据可以查看 用户拥有的私人数据,您必须具有访问权限。
“需要登录”,
完全表示您必须经过身份验证才能访问您尝试访问的数据。您需要该数据所有者的许可。您不能只获取该获取字符串并在需要访问令牌的浏览器中将其启动就可以做到这一点。您将从身份验证流程中获取访问令牌。
自从您提到python以来,您应该遵循hello analytics tutorial,它将向您展示如何设置项目和验证脚本,以便您可以访问所需的数据。
import argparse
from apiclient.discovery import build
import httplib2
from oauth2client import client
from oauth2client import file
from oauth2client import tools
def get_service(api_name, api_version, scope, client_secrets_path):
"""Get a service that communicates to a Google API.
Args:
api_name: string The name of the api to connect to.
api_version: string The api version to connect to.
scope: A list of strings representing the auth scopes to authorize for the
connection.
client_secrets_path: string A path to a valid client secrets file.
Returns:
A service that is connected to the specified API.
"""
# 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=scope,
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(api_name + '.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.
service = build(api_name, api_version, http=http)
return service
def get_first_profile_id(service):
# Use the Analytics service object to get the first profile id.
# Get a list of all Google Analytics accounts for the authorized user.
accounts = service.management().accounts().list().execute()
if accounts.get('items'):
# Get the first Google Analytics account.
account = accounts.get('items')[0].get('id')
# Get a list of all the properties for the first account.
properties = service.management().webproperties().list(
accountId=account).execute()
if properties.get('items'):
# Get the first property id.
property = properties.get('items')[0].get('id')
# Get a list of all views (profiles) for the first property.
profiles = service.management().profiles().list(
accountId=account,
webPropertyId=property).execute()
if profiles.get('items'):
# return the first view (profile) id.
return profiles.get('items')[0].get('id')
return None
def get_results(service, profile_id):
# Use the Analytics Service Object to query the Core Reporting API
# for the number of sessions in the past seven days.
return service.data().ga().get(
ids='ga:' + profile_id,
start_date='7daysAgo',
end_date='today',
metrics='ga:sessions').execute()
def print_results(results):
# Print data nicely for the user.
if results:
print 'View (Profile): %s' % results.get('profileInfo').get('profileName')
print 'Total Sessions: %s' % results.get('rows')[0][0]
else:
print 'No results found'
def main():
# Define the auth scopes to request.
scope = ['https://www.googleapis.com/auth/analytics.readonly']
# Authenticate and construct service.
service = get_service('analytics', 'v3', scope, 'client_secrets.json')
profile = get_first_profile_id(service)
print_results(get_results(service, profile))
if __name__ == '__main__':
main()