The script reads and applies recommendations for a list of comma separated CIDs. Additional flags can be passed to customize the execution, or to call the script programmatically to iterate over different credential sets. It uses the Google Ads API V11, which includes the recommendation type for the PMAX Upgrade.
It processes each account sequentially and applies the recommendations. You should run the process in manageable batches (<1000 CIDs per run) to ensure that you do not hit quota limits for your developer token.
We recommend testing with a subset of accounts to ensure recommendations are processed as expected and your platform supports the migrated campaigns without issue.
- Install Google Ads API Python client library.
- Get Developer token (in a manager account).
- Get Oauth ID/Secret pair.
- Get a Refresh token based on 3.
- Configure YAML file with the 2, 3 and 4.
- Set the Manager account ID in the YAML file to login with, or enable direct login for each account (see below under Accounts Access)
- Execute the script, passing in list of CIDs.
For ex:
python apply_recommendations.py --customer_id=111111,22222,33333 --path_config=/path/to/file
Credentials
The user must provide credentials consisting of:
- Developer Token,
- Oauth client Secret and ID.
- A refresh token.
These should be passed in the yaml configuration file. If necessary, you can have multiple yaml files. Each execution will use only 1 file, and you can specify which file with the flag path_config.
Google Ads API Client
The latest Google Ads Python API Client should be installed.
Accounts Access
The script may execute in two ways:
- Log in on manager account level, by configuring the YAML file, to access all child accounts (default), or
- Log in directly for each CID passed, by uncommenting line 96 in apply_recommendations.py, like below.
# Uncomment below to log in directly on each account, vs at manager level.
# googleads_client.login_customer_id = customer_id
Since the first option is more common for this type of usage, the script has it by default. If you want to The Script executes on CID level, so the user should have admin rights to all CIDs provided in the list. If one of the accounts returns an 'unauthorized' error, the others will still execute.
--customer_id or -c
This flag is required and will tell the script which accounts to get/apply recommendations from. It should be comma separated, no quotes and an = sign or space will work, as below.
ex: --customer_id=11111,22222,33333 or -c 1111,22222
--path_config or -p
If no yaml file path is passed, the tool will look for one in the home directory (~/). Passing the yaml file path can be helpful if calling the script programmatically over multiple sets of credentials, if necessary.
ex: --path_config=/path/to/your/yaml or -p /path/to/yaml
--override_safe or -o
By default, you'll receive a prompt to confirm the upgrade. You can switch this off and execute without receiving a prompt
ex: python apply_recommendations.py -c 11111 -p /path/to/yaml --override_safe
This is not an officially supported Google product.
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