How to connect Google Cloud BigQuery (REST) and Ghost
Create a New Scenario to Connect Google Cloud BigQuery (REST) and Ghost
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google Cloud BigQuery (REST), triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud BigQuery (REST) or Ghost will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery (REST) or Ghost, and select the appropriate trigger to start the scenario.

Add the Google Cloud BigQuery (REST) Node
Select the Google Cloud BigQuery (REST) node from the app selection panel on the right.

Google Cloud BigQuery (REST)
Configure the Google Cloud BigQuery (REST)
Click on the Google Cloud BigQuery (REST) node to configure it. You can modify the Google Cloud BigQuery (REST) URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Ghost Node
Next, click the plus (+) icon on the Google Cloud BigQuery (REST) node, select Ghost from the list of available apps, and choose the action you need from the list of nodes within Ghost.

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Authenticate Ghost
Now, click the Ghost node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Ghost settings. Authentication allows you to use Ghost through Latenode.
Configure the Google Cloud BigQuery (REST) and Ghost Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google Cloud BigQuery (REST) and Ghost Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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Trigger on Webhook
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud BigQuery (REST), Ghost, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Google Cloud BigQuery (REST) and Ghost integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) and Ghost (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Cloud BigQuery (REST) and Ghost
Ghost + Google Cloud BigQuery (REST) + Google Sheets: When a new post is published on Ghost, its data is inserted into a BigQuery table. Then, a query is executed to analyze blog post performance, and the key metrics are visualized in Google Sheets.
Ghost + Google Cloud BigQuery (REST) + Slack: When a new member is created on Ghost, their data is inserted into a BigQuery table. Then a daily summary report of new subscribers is sent to Slack.
Google Cloud BigQuery (REST) and Ghost integration alternatives
About Google Cloud BigQuery (REST)
Automate BigQuery data workflows in Latenode. Query and analyze massive datasets directly within your automation scenarios, bypassing manual SQL. Schedule queries, transform results with JavaScript, and pipe data to other apps. Scale your data processing without complex coding or expensive per-operation fees. Perfect for reporting, analytics, and data warehousing automation.
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About Ghost
Integrate Ghost with Latenode to automate content workflows. Automatically publish new posts, manage member data, or trigger email campaigns. Use Latenode's visual editor and flexible nodes to build custom workflows around Ghost, bypassing manual tasks and scaling content operations without code. Connect Ghost to other apps to streamline your publishing process.
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FAQ Google Cloud BigQuery (REST) and Ghost
How can I connect my Google Cloud BigQuery (REST) account to Ghost using Latenode?
To connect your Google Cloud BigQuery (REST) account to Ghost on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud BigQuery (REST) and click on "Connect".
- Authenticate your Google Cloud BigQuery (REST) and Ghost accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze blog post performance using BigQuery data in Ghost?
Yes, you can! Latenode lets you automate data transfer and analysis, visualize key metrics, and get insights for content optimization, all from one place.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with Ghost?
Integrating Google Cloud BigQuery (REST) with Ghost allows you to perform various tasks, including:
- Automatically backing up Ghost content data to Google Cloud BigQuery (REST).
- Analyzing Ghost member data for segmentation and targeted content.
- Tracking website traffic and correlating it with Ghost publication dates.
- Generating custom reports on Ghost performance using BigQuery's analytics.
- Creating automated dashboards with key Ghost metrics and BigQuery data.
Can I trigger Ghost content updates based on BigQuery data changes?
Yes, with Latenode you can! Use webhooks and custom JavaScript code to create dynamic, data-driven Ghost updates triggered by BigQuery data.
Are there any limitations to the Google Cloud BigQuery (REST) and Ghost integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data synchronization may require manual setup for large datasets.
- Complex data transformations may require JavaScript knowledge.
- API rate limits of both Google Cloud BigQuery (REST) and Ghost apply.