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Data Manager API utility library and samples for Python

PyPI version

Utility library and code samples for working with the Data Manager API and Python.

Requirements

  • Python 3.10+

Setup instructions

The google-ads-datamanager-util utility library is published to PyPI. Install it using pip:

pip install google-ads-datamanager-util

For complete instructions on setting up API access and installing the client and utility libraries, see the Set up API access and Install a client library guides.

Repository structure

  • src/: Source code for the google-ads-datamanager-util PyPI package. Use the utilities in the library to help with common tasks like formatting, hashing, encrypting, and encoding data for Data Manager API requests.
  • samples/: Code samples demonstrating how to construct and send requests to the Data Manager API using the google-ads-datamanager client library and the google-ads-datamanager-util utility library.

Run samples

Samples are provided in the samples/ directory, and the samples/sampledata directory contains samples of input files you can use with the samples.

To run a sample, first install the sample dependencies:

pip install -r samples/requirements.txt

Then invoke the sample script using the command line. You can pass arguments to the script in one of two ways:

1. Explicitly, on the command line

python3 samples/events/ingest_events.py \
  --operating_account_type='GOOGLE_ADS' \
  --operating_account_id='<operating_account_id>' \
  --conversion_action_id='<conversion_action_id>' \
  --json_file='</path/to/your/file>'

2. Using an arguments file

You can also save arguments in a file, with one argument per line.

--operating_account_type
GOOGLE_ADS
--operating_account_id
<operating_account_id>
--conversion_action_id
<conversion_action_id>
--json_file
</path/to/your/file>

Then, run the sample by passing the file path, prefixed with the @ character.

python3 samples/events/ingest_events.py @/path/to/your/args.txt

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Contributing

Contributions welcome! See the Contributing Guide.

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