How to connect Google Cloud BigQuery (REST) and Tumblr
Create a New Scenario to Connect Google Cloud BigQuery (REST) and Tumblr
In the workspace, click the βCreate New Scenarioβ button.

Add the First Step
Add the first node β 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 Tumblr will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery (REST) or Tumblr, 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 Tumblr Node
Next, click the plus (+) icon on the Google Cloud BigQuery (REST) node, select Tumblr from the list of available apps, and choose the action you need from the list of nodes within Tumblr.

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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 (REST) 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 (REST) 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 donβt 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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AI Anthropic Claude 3
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Tumblr
Trigger on Webhook
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud BigQuery (REST), Tumblr, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the Google Cloud BigQuery (REST) and Tumblr integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) 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 (REST) and Tumblr
Tumblr + Google Cloud BigQuery (REST) + Google Sheets: When a new post is created in a monitored Tumblr blog, its data is inserted into a BigQuery table. A daily query on BigQuery aggregates post engagement metrics, updating a Google Sheet for reporting.
Tumblr + Google Cloud BigQuery (REST) + Slack: This workflow monitors new posts on Tumblr. When a new post is published, its content and metadata are stored in Google Cloud BigQuery. A query identifies trending topics, and a Slack message alerts the marketing team to the popular post.
Google Cloud BigQuery (REST) and Tumblr 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 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.
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FAQ Google Cloud BigQuery (REST) and Tumblr
How can I connect my Google Cloud BigQuery (REST) account to Tumblr using Latenode?
To connect your Google Cloud BigQuery (REST) account to Tumblr 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 Tumblr accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze Tumblr post engagement in BigQuery?
Yes, you can! Latenode simplifies data transfer, enabling powerful analysis and reporting on Tumblr activity directly within Google Cloud BigQuery (REST). Unlock valuable insights for content strategy.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with Tumblr?
Integrating Google Cloud BigQuery (REST) with Tumblr allows you to perform various tasks, including:
- Archive Tumblr post data to Google Cloud BigQuery (REST) for long-term storage.
- Analyze Tumblr engagement metrics using BigQuery's data processing capabilities.
- Automatically update a BigQuery table with new Tumblr posts.
- Create custom dashboards visualizing Tumblr data alongside other business metrics.
- Trigger Tumblr posts based on data analysis within Google Cloud BigQuery (REST).
How secure is Google Cloud BigQuery (REST) data transfer using Latenode?
Latenode uses secure protocols for all data transfers, ensuring your Google Cloud BigQuery (REST) and Tumblr data is protected during integration processes.
Are there any limitations to the Google Cloud BigQuery (REST) and Tumblr integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by the Tumblr API may affect data retrieval speed.
- Complex data transformations might require JavaScript knowledge.
- Initial setup requires familiarity with both platforms' authentication processes.