How to connect Google Cloud BigQuery and Recraft
Create a New Scenario to Connect Google Cloud BigQuery and Recraft
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 Recraft will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery or Recraft, 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 Recraft Node
Next, click the plus (+) icon on the Google Cloud BigQuery node, select Recraft from the list of available apps, and choose the action you need from the list of nodes within Recraft.

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Authenticate Recraft
Now, click the Recraft node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Recraft settings. Authentication allows you to use Recraft through Latenode.
Configure the Google Cloud BigQuery and Recraft 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 Recraft 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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AI Anthropic Claude 3
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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud BigQuery, Recraft, 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 Recraft integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Recraft (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 Recraft
Google Cloud BigQuery + Recraft + Google Sheets: This automation analyzes ad performance data from Google Cloud BigQuery. Recraft generates visuals based on this data. Finally, the generated visuals' URLs are saved along with the data into a new row in Google Sheets to create shareable reports.
Recraft + Google Cloud BigQuery + Slack: Recraft generates marketing visuals. A query to Google Cloud BigQuery tracks the impact of those visuals. Top-performing visuals and their impact metrics are shared in a designated Slack channel.
Google Cloud BigQuery and Recraft 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.
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About Recraft
Automate visual asset creation with Recraft in Latenode. Generate and customize graphics directly within your workflows, connecting design to data and logic. Automatically resize, reformat, or personalize images based on database triggers or user inputs. Streamline marketing, content production, or e-commerce processes and ensure brand consistency.
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See how Latenode works
FAQ Google Cloud BigQuery and Recraft
How can I connect my Google Cloud BigQuery account to Recraft using Latenode?
To connect your Google Cloud BigQuery account to Recraft 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 Recraft accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate asset creation based on BigQuery data with Recraft?
Yes, with Latenode, automate Recraft image generation based on BigQuery insights. Triggered workflows mean data changes in BigQuery instantly update Recraft visuals.
What types of tasks can I perform by integrating Google Cloud BigQuery with Recraft?
Integrating Google Cloud BigQuery with Recraft allows you to perform various tasks, including:
- Automatically generate marketing visuals based on BigQuery sales data.
- Create personalized content assets using customer data from BigQuery.
- Update Recraft designs dynamically with real-time performance metrics.
- Visualize complex BigQuery datasets as engaging Recraft infographics.
- Automate A/B testing image variations based on BigQuery analytics.
Can Latenode handle large data transfers from BigQuery to Recraft?
Yes, Latenode efficiently processes large BigQuery datasets for Recraft with built-in scaling and optimized data handling, ensuring smooth integration.
Are there any limitations to the Google Cloud BigQuery and Recraft integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations may require JavaScript for optimal handling.
- Rate limits of both Google Cloud BigQuery and Recraft APIs apply.
- Very large dataset transfers may impact workflow execution time.