It's been more than a week and I haven't been to figure out where I'm going wrong.
I'm trying to use a keyword planner and getting a continuous Authentication error. I have my test manager account and have created a google test ads account from that. I have also my client_id, client_secret, and refresh_token from console.developer.google.com
I'm using a developer token from the production account which is not verified.
Thanks in advance.
Here is the error Message:
Your default encoding, cp1252, is not UTF-8. Please run this script with UTF-8 encoding to avoid errors. Error summary: {'faultMessage': "[QuotaCheckError.INVALID_TOKEN_HEADER @ ; trigger:'New developers must use the Google Ads API.']", 'requestId': 'foobar', 'serviceName': 'TrafficEstimatorService', 'methodName': 'get', 'operations': '1', 'responseTime': '83'} Traceback (most recent call last): File "env\lib\site-packages\googleads\common.py", line 984, in MakeSoapRequest return soap_service_method( File "env\lib\site-packages\zeep\proxy.py", line 46, in __call__ return self._proxy._binding.send( File "env\lib\site-packages\zeep\wsdl\bindings\soap.py", line 135, in send return self.process_reply(client, operation_obj, response) File "env\lib\site-packages\zeep\wsdl\bindings\soap.py", line 229, in process_reply return self.process_error(doc, operation) File "env\lib\site-packages\zeep\wsdl\bindings\soap.py", line 329, in process_error raise Fault( zeep.exceptions.Fault: [QuotaCheckError.INVALID_TOKEN_HEADER @ ; trigger:'New developers must use the Google Ads API.'] During handling of the above exception, another exception occurred: Traceback (most recent call last): File "test.py", line 181, in <module> main(adwords_client) File "test.py", line 97, in main estimates = traffic_estimator_service.get(selector) File "env\lib\site-packages\googleads\common.py", line 996, in MakeSoapRequest raise googleads.errors.GoogleAdsServerFault( googleads.errors.GoogleAdsServerFault: [QuotaCheckError.INVALID_TOKEN_HEADER @ ; trigger:'New developers must use the Google Ads API.']
Here is my google ads file:
adwords: # AdWordsClient configurations developer_token: mydevtoken1234 client_customer_id: 123-123-123 validate_only: False client_id: myclientId.apps.googleusercontent.com client_secret: myclientsecret refresh_token: myrefreshtoken # AdManagerClient configurations ad_manager: developer_token: EZ-x_JXs6mtX6tDO_8VauA application_name: get-keyword-ideas # path_to_private_key_file: INSERT_PATH_TO_JSON_KEY_FILE_HERE client_id: myclientId.apps.googleusercontent.com client_secret: myclientsecret refresh_token: myrefreshtoken
And Here is my Python code for trafficEstimator
#!/usr/bin/env python # # Copyright 2016 Google Inc. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """This example retrieves keyword traffic estimates. The LoadFromStorage method is pulling credentials and properties from a "googleads.yaml" file. By default, it looks for this file in your home directory. For more information, see the "Caching authentication information" section of our README. """ from googleads import adwords def main(client): # Initialize appropriate service. traffic_estimator_service = client.GetService( 'TrafficEstimatorService', version='v201809') # Construct selector object and retrieve traffic estimates. keywords = [ {'text': 'mars cruise', 'matchType': 'BROAD'}, {'text': 'cheap cruise', 'matchType': 'PHRASE'}, {'text': 'cruise', 'matchType': 'EXACT'} ] negative_keywords = [ {'text': 'moon walk', 'matchType': 'BROAD'} ] keyword_estimate_requests = [] for keyword in keywords: keyword_estimate_requests.append({ 'keyword': { 'xsi_type': 'Keyword', 'matchType': keyword['matchType'], 'text': keyword['text'] } }) for keyword in negative_keywords: keyword_estimate_requests.append({ 'keyword': { 'xsi_type': 'Keyword', 'matchType': keyword['matchType'], 'text': keyword['text'] }, 'isNegative': 'true' }) # Create ad group estimate requests. adgroup_estimate_requests = [{ 'keywordEstimateRequests': keyword_estimate_requests, 'maxCpc': { 'xsi_type': 'Money', 'microAmount': '1000000' } }] # Create campaign estimate requests. campaign_estimate_requests = [{ 'adGroupEstimateRequests': adgroup_estimate_requests, 'criteria': [ { 'xsi_type': 'Location', 'id': '2840' # United States. }, { 'xsi_type': 'Language', 'id': '1000' # English. } ], }] # Create the selector. selector = { 'campaignEstimateRequests': campaign_estimate_requests, } # Optional: Request a list of campaign-level estimates segmented by # platform. selector['platformEstimateRequested'] = True # Get traffic estimates. estimates = traffic_estimator_service.get(selector) campaign_estimate = estimates['campaignEstimates'][0] # Display the campaign level estimates segmented by platform. if 'platformEstimates' in campaign_estimate: platform_template = ('Results for the platform with ID: "%d" and name: ' '"%s".') for platform_estimate in campaign_estimate['platformEstimates']: platform = platform_estimate['platform'] DisplayEstimate(platform_template % (platform['id'], platform['platformName']), platform_estimate['minEstimate'], platform_estimate['maxEstimate']) # Display the keyword estimates. if 'adGroupEstimates' in campaign_estimate: ad_group_estimate = campaign_estimate['adGroupEstimates'][0] if 'keywordEstimates' in ad_group_estimate: keyword_estimates = ad_group_estimate['keywordEstimates'] keyword_template = ('Results for the keyword with text "%s" and match ' 'type "%s":') keyword_estimates_and_requests = zip(keyword_estimates, keyword_estimate_requests) for keyword_tuple in keyword_estimates_and_requests: if keyword_tuple[1].get('isNegative', False): continue keyword = keyword_tuple[1]['keyword'] keyword_estimate = keyword_tuple[0] DisplayEstimate(keyword_template % (keyword['text'], keyword['matchType']), keyword_estimate['min'], keyword_estimate['max']) def _CalculateMean(min_est, max_est): if min_est and max_est: return (float(min_est) + float(max_est)) / 2.0 else: return None def _FormatMean(mean): if mean: return '%.2f' % mean else: return 'N/A' def DisplayEstimate(message, min_estimate, max_estimate): """Displays mean average cpc, position, clicks, and total cost for estimate. Args: message: str message to display for the given estimate. min_estimate: zeep.objects.StatsEstimate containing a minimum estimate from the TrafficEstimatorService response. max_estimate: zeep.objects.StatsEstimate containing a maximum estimate from the TrafficEstimatorService response. """ # Find the mean of the min and max values. mean_avg_cpc = (_CalculateMean(min_estimate['averageCpc']['microAmount'], max_estimate['averageCpc']['microAmount']) if 'averageCpc' in min_estimate and min_estimate['averageCpc'] else None) mean_avg_pos = (_CalculateMean(min_estimate['averagePosition'], max_estimate['averagePosition']) if 'averagePosition' in min_estimate and min_estimate['averagePosition'] else None) mean_clicks = _CalculateMean(min_estimate['clicksPerDay'], max_estimate['clicksPerDay']) mean_total_cost = _CalculateMean(min_estimate['totalCost']['microAmount'], max_estimate['totalCost']['microAmount']) print(message) print(' Estimated average CPC: %s' % _FormatMean(mean_avg_cpc)) print(' Estimated ad position: %s' % _FormatMean(mean_avg_pos)) print(' Estimated daily clicks: %s' % _FormatMean(mean_clicks)) print(' Estimated daily cost: %s' % _FormatMean(mean_total_cost)) if __name__ == '__main__': # Initialize client object. adwords_client = adwords.AdWordsClient.LoadFromStorage('googleads.yaml') main(adwords_client)
