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

Add the Delighted Node
Select the Delighted node from the app selection panel on the right.

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

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Authenticate Google Cloud Firestore
Now, click the Google Cloud Firestore node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud Firestore settings. Authentication allows you to use Google Cloud Firestore through Latenode.
Configure the Delighted and Google Cloud Firestore 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 Delighted and Google Cloud Firestore 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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Google Cloud Firestore
Trigger on Webhook
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Webhook response
Save and Activate the Scenario
After configuring Delighted, Google Cloud Firestore, 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 Delighted and Google Cloud Firestore integration works as expected. Depending on your setup, data should flow between Delighted and Google Cloud Firestore (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Delighted and Google Cloud Firestore
Delighted + Slack: When a customer submits a new response with a low satisfaction score in Delighted, a notification is posted in a dedicated Slack channel to alert the team.
Google Cloud Firestore + Delighted: When a new feature request is stored in Google Cloud Firestore, a survey is sent via Delighted to a segment of users to gauge their interest in the feature.
Delighted and Google Cloud Firestore integration alternatives
About Delighted
Automate feedback loops with Delighted in Latenode. Send surveys post-interaction and instantly act on results. Route scores to your team's Slack, update records in your CRM, or trigger follow-ups based on sentiment. Build adaptable workflows with no-code tools, custom logic, and AI — all without per-step costs.
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About Google Cloud Firestore
Use Google Cloud Firestore in Latenode to build real-time data workflows. Automate database tasks like data synchronization, backups, or event-driven updates without coding. Combine Firestore with AI tools and webhooks for powerful apps. Create complex workflows with simple visual tools and scale affordably with Latenode's pay-as-you-go pricing.
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See how Latenode works
FAQ Delighted and Google Cloud Firestore
How can I connect my Delighted account to Google Cloud Firestore using Latenode?
To connect your Delighted account to Google Cloud Firestore on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Delighted and click on "Connect".
- Authenticate your Delighted and Google Cloud Firestore accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I archive Delighted survey responses in Google Cloud Firestore?
Yes, you can! With Latenode, automatically store Delighted feedback in Google Cloud Firestore. This centralized data helps analyze trends and improve customer satisfaction, enhanced by Latenode's data transformation features.
What types of tasks can I perform by integrating Delighted with Google Cloud Firestore?
Integrating Delighted with Google Cloud Firestore allows you to perform various tasks, including:
- Store new Delighted survey responses directly in Google Cloud Firestore.
- Update customer profiles in Google Cloud Firestore with feedback data.
- Trigger workflows based on specific survey scores in Delighted.
- Analyze sentiment trends in Google Cloud Firestore using AI.
- Create reports and dashboards from Delighted data in Google Cloud Firestore.
Can I filter survey responses from Delighted before saving to Google Cloud Firestore?
Yes! Latenode allows you to filter Delighted responses based on criteria, ensuring only relevant feedback is stored, reducing clutter, and saving storage space.
Are there any limitations to the Delighted and Google Cloud Firestore integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations may require custom JavaScript code.
- Large-scale data migrations may require optimization for performance.
- Real-time updates depend on Delighted API rate limits.