How to load data from Google Ads to S3 Glue

Learn how to use Airbyte to synchronize your Google Ads data into S3 Glue within minutes.

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Set up a Google Ads connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up S3 Glue for your extracted Google Ads data

Select where you want to import data from your source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Google Ads to S3 Glue in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.
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How to Sync to Manually

Step 1: Set Up Google Ads API Access

To access Google Ads data, you need to set up API access. First, create a Google Cloud project and enable the Google Ads API. Obtain OAuth 2.0 credentials by setting up a consent screen and downloading the OAuth client ID and secret. Configure a developer token in your Google Ads account, which allows API access.

Use the OAuth 2.0 credentials to authenticate your application. Implement the OAuth 2.0 flow to obtain an access token. This token will authorize your requests to the Google Ads API. You can use libraries such as Google's `google-auth-library` in Python or any language of your choice to handle this process.

With authentication in place, use the Google Ads API to construct queries to fetch the desired data. You can use the Google Ads Query Language (GAQL) to define your queries. Execute these queries using the API client libraries to retrieve the data in a format like JSON or CSV.

Once data is fetched, transform it into a CSV format which is suitable for storage in S3 and later processing with AWS Glue. Depending on your programming environment, you might use libraries such as `pandas` in Python to handle this transformation efficiently.

In your AWS account, set up an S3 bucket to store the data. This involves creating a new bucket through the AWS Management Console or using the AWS CLI. Make sure to configure permissions and access policies to allow access from your application if required.

Use AWS SDKs (such as Boto3 for Python) to upload the transformed CSV files to the S3 bucket. Ensure you specify the correct bucket name and object key when uploading. It's essential to handle any exceptions during the upload process to ensure data integrity and retry if necessary.

With data in S3, set up an AWS Glue job to process the data. Create a Glue job through the AWS Management Console. Define the data source as the S3 bucket and the data target as your desired output format or database. Use Glue's ETL capabilities to cleanse, transform, and load the data as needed.

By following these steps, you can automate the process of moving data from Google Ads to AWS S3 and prepare it for further processing with AWS Glue, all without relying on third-party connectors.