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

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


Google Cloud Storage

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


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Authenticate Data Enrichment
Now, click the Data Enrichment node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Data Enrichment settings. Authentication allows you to use Data Enrichment through Latenode.
Configure the Google Cloud Storage and Data Enrichment 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 Storage and Data Enrichment 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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Data Enrichment
Trigger on Webhook
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud Storage, Data Enrichment, 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 Storage and Data Enrichment integration works as expected. Depending on your setup, data should flow between Google Cloud Storage and Data Enrichment (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 Storage and Data Enrichment
Google Cloud Storage + Data Enrichment + Google Sheets: When a new file is uploaded to Google Cloud Storage, its metadata is retrieved and sent to Data Enrichment for processing. The enriched data is then added as a new row to a Google Sheet.
Google Cloud Storage + Data Enrichment + Slack: Upon uploading a new file to Google Cloud Storage, the file's metadata is retrieved, then enriched by Data Enrichment. Finally, a Slack message is sent to a specified channel, containing the enriched details about the new file.
Google Cloud Storage and Data Enrichment integration alternatives

About Google Cloud Storage
Use Google Cloud Storage in Latenode for automated file management. Upload, download, and manage files in your workflows. Automate backups, data archiving, or image processing. Connect GCS to other apps for seamless data transfer and triggering events. Latenode's visual editor simplifies complex file-based automations.
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About Data Enrichment
Enrich lead data, verify addresses, or flag fraud risks within Latenode workflows. Connect Data Enrichment APIs to auto-update records across apps. Streamline data cleaning and validation with no-code blocks or custom JS. Automate tasks that need enhanced data for better decisions, at scale.
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FAQ Google Cloud Storage and Data Enrichment
How can I connect my Google Cloud Storage account to Data Enrichment using Latenode?
To connect your Google Cloud Storage account to Data Enrichment on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Storage and click on "Connect".
- Authenticate your Google Cloud Storage and Data Enrichment accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I enrich user data from Google Cloud Storage files?
Yes, you can! Latenode allows seamless data enrichment, automatically triggering workflows when files are added to Google Cloud Storage, ensuring up-to-date, comprehensive user profiles.
What types of tasks can I perform by integrating Google Cloud Storage with Data Enrichment?
Integrating Google Cloud Storage with Data Enrichment allows you to perform various tasks, including:
- Automatically enrich customer data as soon as it's uploaded to GCS.
- Append demographic data to leads stored in GCS CSV files.
- Clean and standardize address information from GCS-housed datasets.
- Enhance product information stored as JSON files in GCS buckets.
- Verify the validity of email addresses found in GCS-based contact lists.
Can I process very large Google Cloud Storage files?
Yes! Latenode's architecture is designed to handle large files efficiently, processing them in chunks without memory limitations.
Are there any limitations to the Google Cloud Storage and Data Enrichment integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits of both Google Cloud Storage and Data Enrichment APIs apply.
- Complex data transformations may require JavaScript coding within Latenode.
- Initial setup requires basic understanding of cloud storage concepts.