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Enrich files in Google Cloud Storage using Data Enrichment, automatically. Latenode's visual editor makes it easy to build custom workflows. Plus, scale your data operations affordably and add custom logic with JavaScript.
Connect Google Cloud Storage and Data Enrichment in minutes with Latenode.
Create Google Cloud Storage to Data Enrichment workflow
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In the workspace, click the βCreate New Scenarioβ button.

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 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.

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

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.
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.

Google Cloud Storage
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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.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
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AI Anthropic Claude 3
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Data Enrichment
Trigger on Webhook
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Google Cloud Storage
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Iterator
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Webhook response
After configuring Google Cloud Storage, Data Enrichment, 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.
Run the scenario by clicking βRun onceβ 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.
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.
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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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:
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:
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: