How to load data from Google Ads to Weaviate
Learn how to use Airbyte to synchronize your Google Ads data into Weaviate within minutes.
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How to Sync to Manually
Step 1: Extract Data from Google Ads
Begin by accessing your Google Ads account. Navigate to the “Reports”� section where you can generate detailed reports of your campaigns, ad groups, keywords, and more. Customize your report to include the data you need, such as click-through rates, impressions, and costs. Once generated, download the report in a CSV format. This format is crucial for the subsequent steps.
Step 2: Prepare Your Environment
Ensure that you have a programming environment ready with Python installed. You will need Python to handle the data manipulation and API requests. Additionally, make sure you have access to the Weaviate instance where you plan to store the data. You will also need the necessary API keys or credentials for authentication.
Step 3: Clean and Format Data
Use Python to clean and format the CSV data extracted from Google Ads. You can use libraries like pandas to load and process the data. Ensure that the data types are consistent and that there are no missing values or duplicates. This step is essential for ensuring data integrity and compatibility with Weaviate’s schema.
Step 4: Define Weaviate Schema
Before importing data, you need to define a schema in Weaviate that matches the structure of your Google Ads data. Use Weaviate's RESTful API to create classes and properties that align with the columns in your CSV file. For example, you might define classes such as "Campaign" with properties like "name," "clicks," and "cost."
Step 5: Authenticate with Weaviate API
Authenticate with the Weaviate API using the credentials obtained from your Weaviate instance. Typically, this involves sending a POST request with your API key to acquire an access token. Use Python's requests library to handle the authentication process securely.
Step 6: Upload Data to Weaviate
Now that your data is clean and your schema is defined, use Python to iterate over your CSV data and send POST requests to the Weaviate API. Each request will create a new object in Weaviate according to the schema you defined. Ensure that you handle any API response errors and log successes or failures for each data record.
Step 7: Verify Data Integrity
After uploading, verify that the data in Weaviate matches your original Google Ads data. You can do this by querying the Weaviate API to retrieve objects and comparing them to your source CSV. Implement checks to ensure that no data is lost or misrepresented during the transfer process. Adjust and re-upload if necessary.
By following these steps, you can effectively move data from Google Ads to Weaviate without relying on third-party connectors.