Google Search Console has recently introduced a new feature called “bulk data export,” which allows users to export their Search Console data to Google BigQuery. This new feature will enable users to access their data in a more powerful and comprehensive way, making it easier to conduct advanced analysis and visualization techniques.
The bulk data export feature will be available to all users of Search Console, but the rollout will take approximately one week. Once the feature is live, users can configure an export to get a daily data dump into their BigQuery project. The data will include all performance data, with the exception of anonymized queries, which are filtered out for privacy reasons.
This new feature is particularly beneficial for larger websites with tens of thousands of pages or those receiving traffic from tens of thousands of queries per day. It will help users explore their data to its maximum potential, allowing them to join it with other sources of data and conduct more advanced analyses.
Small and medium-sized sites already have access to all their data through the user interface, the Looker Studio connector (formerly known as Data Studio), or the Search Analytics API. However, for larger sites with more complex data, the bulk data export feature will be a valuable tool in improving data management and analysis.
The bulk data export feature from Google Search Console is a new and powerful way for users to access their data, providing a more comprehensive and in-depth analysis for larger sites. With this feature, users can export their data to Google BigQuery and gain valuable insights into their website’s performance.
What is Google Search Bulk Data Export?
Google Search Bulk Data Export is a feature that allows you to export large amounts of data related to your website’s search performance.
How does Google Search Bulk Data Export work?
Once you sign up for this feature, you will be able to export data related to your website’s search performance in bulk format. This data includes information about search queries, clicks, impressions, and other metrics.
Why would I want to use Google Search Bulk Data Export?
You may want to use this feature if you need to analyze your website’s search performance in more detail than what is available in the Google Search Console. For example, you may want to analyze your website’s performance over a longer period of time, or you may want to export data for multiple websites at once.
What kind of data can I export with Google Search Bulk Data Export?
You can export data related to search queries, clicks, impressions, and other metrics for your website.
How is Google Search Bulk Data Export connected to BigQuery?
Google Search Bulk Data Export is connected to BigQuery through an integration that allows you to automatically export your search performance data to a BigQuery dataset.
What is BigQuery, and why would I want to use it with Google Search Bulk Data Export?
BigQuery is a cloud-based data warehousing and analytics platform that can help you analyze large datasets. You may want to use it with Google Search Bulk Data Export if you need to analyze your website’s search performance data in more detail or combine it with other data sources.
How do I connect Google Search Bulk Data Export to BigQuery?
To connect Google Search Bulk Data Export to BigQuery, you need to set up a BigQuery project and create a dataset. Then, you can link your Google Search Console account to your BigQuery project and set up a scheduled export of your search performance data.
What are some benefits of using BigQuery with Google Search Bulk Data Export?
Some benefits of using BigQuery with Google Search Bulk Data Export include the ability to analyze large datasets quickly, the ability to combine your search performance data with other data sources, and the ability to use advanced data analysis and machine learning tools.
Is there a cost to using BigQuery with Google Search Bulk Data Export?
Yes, there is a cost associated with using BigQuery, which is based on the amount of data you store and the amount of data you process. However, the cost may be offset by the increased efficiency and insights you gain from using the platform.