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Enrich leads in Google Cloud Firestore with detailed data from Enrich Layer. Latenode's visual editor makes this data enhancement simple, plus you can add custom logic using JavaScript and scale without cost concerns due to execution-based pricing.
Connect Google Cloud Firestore and Enrich Layer in minutes with Latenode.
Create Google Cloud Firestore to Enrich Layer workflow
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Create a New Scenario to Connect Google Cloud Firestore and Enrich Layer
In the workspace, click the โCreate New Scenarioโ button.
Add the First Step
Add the first node โ a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google Cloud Firestore, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud Firestore or Enrich Layer will be your first step. To do this, click "Choose an app," find Google Cloud Firestore or Enrich Layer, and select the appropriate trigger to start the scenario.
Add the Google Cloud Firestore Node
Select the Google Cloud Firestore node from the app selection panel on the right.
Google Cloud Firestore
Configure the Google Cloud Firestore
Click on the Google Cloud Firestore node to configure it. You can modify the Google Cloud Firestore URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Enrich Layer Node
Next, click the plus (+) icon on the Google Cloud Firestore node, select Enrich Layer from the list of available apps, and choose the action you need from the list of nodes within Enrich Layer.
Google Cloud Firestore
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Enrich Layer
Authenticate Enrich Layer
Now, click the Enrich Layer node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Enrich Layer settings. Authentication allows you to use Enrich Layer through Latenode.
Configure the Google Cloud Firestore and Enrich Layer 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 Firestore and Enrich Layer Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Enrich Layer
Trigger on Webhook
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Google Cloud Firestore
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Google Cloud Firestore, Enrich Layer, and any additional nodes, donโt 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 โRun onceโ and triggering an event to check if the Google Cloud Firestore and Enrich Layer integration works as expected. Depending on your setup, data should flow between Google Cloud Firestore and Enrich Layer (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Google Cloud Firestore + Enrich Layer + Salesforce: When a new customer document is created in Google Cloud Firestore, Enrich Layer enriches the customer data, and then Salesforce creates a new lead with the enriched information.
Google Cloud Firestore + Enrich Layer + Slack: When a document is updated in Google Cloud Firestore, Enrich Layer searches for company data related to the updated lead. Slack then sends a message to a channel notifying the team of the significant new data.
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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About Enrich Layer
Enrich Layer inside Latenode automates data validation and enhancement. Fix errors and add missing info to leads or contacts. Clean up data from any source before it reaches your CRM or database. Latenode handles complex logic and scales the process without per-step costs, keeping data accurate and workflows efficient.
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How can I connect my Google Cloud Firestore account to Enrich Layer using Latenode?
To connect your Google Cloud Firestore account to Enrich Layer on Latenode, follow these steps:
Can I enrich Firestore data with company information?
Yes, easily! Latenode lets you automate data enrichment, triggering workflows on Firestore events and using Enrich Layer to seamlessly add company details, boosting data quality.
What types of tasks can I perform by integrating Google Cloud Firestore with Enrich Layer?
Integrating Google Cloud Firestore with Enrich Layer allows you to perform various tasks, including:
Can I use JavaScript to transform Firestore data in Latenode?
Yes! Latenode's JavaScript blocks let you transform Firestore data, enriching and reshaping it before sending it to Enrich Layer for advanced analysis.
Are there any limitations to the Google Cloud Firestore and Enrich Layer integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: