How to connect Google Cloud BigQuery and Tumblr
Create a New Scenario to Connect Google Cloud BigQuery and Tumblr
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, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud BigQuery or Tumblr will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery or Tumblr, and select the appropriate trigger to start the scenario.

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

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

Google Cloud BigQuery
âš™

Tumblr

Authenticate Tumblr
Now, click the Tumblr node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Tumblr settings. Authentication allows you to use Tumblr through Latenode.
Configure the Google Cloud BigQuery and Tumblr 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 and Tumblr 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.

JavaScript
âš™
AI Anthropic Claude 3
âš™

Tumblr
Trigger on Webhook
âš™
Google Cloud BigQuery
âš™
âš™
Iterator
âš™
Webhook response

Save and Activate the Scenario
After configuring Google Cloud BigQuery, Tumblr, 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 and Tumblr integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Tumblr (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 and Tumblr
Tumblr + Google Sheets: Whenever a new post is liked on Tumblr, extract relevant information and store it in a Google Sheet for performance analysis and reporting.
Tumblr + Slack: Monitor new posts on Tumblr using a specific tag. When a new tagged post appears, send a notification to a designated Slack channel to keep the marketing team informed.
Google Cloud BigQuery and Tumblr integration alternatives
About Google Cloud BigQuery
Use Google Cloud BigQuery in Latenode to automate data warehousing tasks. Query, analyze, and transform huge datasets as part of your workflows. Schedule data imports, trigger reports, or feed insights into other apps. Automate complex analysis without code and scale your insights with Latenode’s flexible, pay-as-you-go platform.
Similar apps
Related categories

About Tumblr
Automate Tumblr posting within Latenode workflows. Schedule posts, track engagement, and integrate Tumblr data with other apps like CRMs or social media analytics. Simplify content distribution and reporting without manual steps. Use Latenode's visual editor and JavaScript support to customize your Tumblr automation beyond simple scheduling.
Related categories
See how Latenode works
FAQ Google Cloud BigQuery and Tumblr
How can I connect my Google Cloud BigQuery account to Tumblr using Latenode?
To connect your Google Cloud BigQuery account to Tumblr on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud BigQuery and click on "Connect".
- Authenticate your Google Cloud BigQuery and Tumblr accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I post BigQuery data insights to Tumblr automatically?
Yes, you can! Latenode allows you to automate posting data-driven Tumblr content using BigQuery. This keeps your audience engaged with fresh, relevant insights.
What types of tasks can I perform by integrating Google Cloud BigQuery with Tumblr?
Integrating Google Cloud BigQuery with Tumblr allows you to perform various tasks, including:
- Automatically post new BigQuery data insights to a Tumblr blog.
- Update Tumblr post content based on real-time BigQuery data changes.
- Create Tumblr drafts based on BigQuery query results for review.
- Schedule Tumblr posts with insights derived from BigQuery analysis.
- Archive Tumblr posts and related data to BigQuery for analysis.
How secure is my Google Cloud BigQuery data when using Latenode?
Latenode uses secure authentication and encryption methods to protect your data. Your credentials are never stored.
Are there any limitations to the Google Cloud BigQuery and Tumblr integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large datasets from Google Cloud BigQuery may take time to process.
- Tumblr's API rate limits may affect the frequency of automated posts.
- Complex data transformations might require custom JavaScript coding.