Google Cloud Storage and Enrich Layer Integration

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Automatically enrich data stored in Google Cloud Storage using Enrich Layer's intelligence. Latenode's visual editor simplifies the data transformation, while affordable execution-based pricing makes enterprise-grade data enrichment scalable and efficient.

Google Cloud Storage + Enrich Layer integration

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Swap Apps

Google Cloud Storage

Enrich Layer

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Cloud Storage and Enrich Layer

Create a New Scenario to Connect Google Cloud Storage and Enrich Layer

In the workspace, click the โ€œCreate 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 Storage, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud Storage or Enrich Layer will be your first step. To do this, click "Choose an app," find Google Cloud Storage or Enrich Layer, 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.

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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.

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Add the Enrich Layer Node

Next, click the plus (+) icon on the Google Cloud Storage node, select Enrich Layer from the list of available apps, and choose the action you need from the list of nodes within Enrich Layer.

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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.

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Configure the Google Cloud Storage 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.

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Set Up the Google Cloud Storage and Enrich Layer 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 donโ€™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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Save and Activate the Scenario

After configuring Google Cloud Storage, Enrich Layer, and any additional nodes, donโ€™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 โ€œRun onceโ€ and triggering an event to check if the Google Cloud Storage and Enrich Layer integration works as expected. Depending on your setup, data should flow between Google Cloud Storage and Enrich Layer (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 Enrich Layer

Google Cloud Storage + Enrich Layer + Airtable: When a new file is uploaded to Google Cloud Storage, the data is extracted and sent to Enrich Layer to enrich the profile information. The enriched data is then used to create a new record in Airtable for analysis.

Google Cloud Storage + Enrich Layer + Google Sheets: When a new file is uploaded to Google Cloud Storage, the data is extracted and sent to Enrich Layer to enrich customer data. The updated customer data is then added as a new row in Google Sheets for logging and tracking.

Google Cloud Storage and Enrich Layer 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.

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.

See how Latenode works

FAQ Google Cloud Storage and Enrich Layer

How can I connect my Google Cloud Storage account to Enrich Layer using Latenode?

To connect your Google Cloud Storage account to Enrich Layer 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 Enrich Layer accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I enrich data extracted from cloud storage?

Yes, you can! Latenode allows you to automatically enrich data pulled from Google Cloud Storage using Enrich Layer, providing deeper insights with no coding needed. Automate data refinement effortlessly.

What types of tasks can I perform by integrating Google Cloud Storage with Enrich Layer?

Integrating Google Cloud Storage with Enrich Layer allows you to perform various tasks, including:

  • Enrich customer data stored in Google Cloud Storage with social media profiles.
  • Automatically add location data to image files stored in the cloud.
  • Validate and standardize addresses extracted from documents in Google Cloud Storage.
  • Enhance product data from cloud storage with supplier information.
  • Append missing company information to lead lists stored in Google Cloud Storage.

How secure is the Google Cloud Storage integration on Latenode?

Latenode employs robust security measures, including encryption and secure authentication protocols, to ensure the safety of your Google Cloud Storage data during integration and workflow execution.

Are there any limitations to the Google Cloud Storage and Enrich Layer integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Large file transfers from Google Cloud Storage may impact workflow execution time.
  • Enrich Layer data enrichment credits are subject to your Enrich Layer subscription plan.
  • Complex data transformations may require custom JavaScript code within Latenode.

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