How to load data from Google Search Console to BigQuery
Learn how to use Airbyte to synchronize your Google Search Console data into BigQuery within minutes.
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How to Sync to Manually
Step 1: Set Up Google Cloud Project
Begin by creating a new project in Google Cloud Platform (GCP). Navigate to the GCP Console, select the project dropdown, and click "New Project." Give your project a name and note the Project ID, as you will need it for later steps.
Step 2: Enable BigQuery API
Within your newly created Google Cloud project, enable the BigQuery API. Go to the "APIs & Services" section, click on "Library," search for "BigQuery API," and click "Enable." This will allow your project to interact with BigQuery services.
Step 3: Create a BigQuery Dataset
Access the BigQuery console from the GCP Console. In the Explorer panel, click on your project and select “Create Dataset.” Provide a Dataset ID and configure any necessary dataset settings. This will serve as the storage location for your data from Google Search Console.
Step 4: Download Data from Google Search Console
Log into Google Search Console and navigate to the property you want to export data from. Go to the "Performance" report, where you will see options for filtering and customizing the data view. Once you have the desired data displayed, click on the download button to save the data as a CSV file.
Step 5: Prepare CSV Data for BigQuery
Open the downloaded CSV file and review its structure. Ensure that the data types (e.g., STRING, INTEGER) and column names align with what you plan to use in BigQuery. Modify the CSV if necessary to ensure compatibility, such as ensuring date formats are consistent.
Step 6: Upload CSV to Google Cloud Storage
In the GCP Console, navigate to "Cloud Storage" and create a new bucket. Once the bucket is set up, click "Upload Files" and select your prepared CSV file. This step is crucial as BigQuery needs to read data from a Google Cloud Storage bucket.
Step 7: Load Data into BigQuery
Return to the BigQuery console, click on your dataset, and select “Create Table.” Choose "Google Cloud Storage" as the source and provide the path to your CSV file in the bucket. Configure the schema manually or auto-detect from the CSV, and finalize by clicking "Create Table." This action will import your data into BigQuery, completing the transfer from Google Search Console.