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Enrich translated text: Use Google Cloud Translate to localize content, then enrich it with more context using Data Enrichment. Latenodeβs visual editor makes customization simple, and affordable execution-based pricing helps you scale.
Connect Google Cloud Translate and Data Enrichment in minutes with Latenode.
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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 Translate, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud Translate or Data Enrichment will be your first step. To do this, click "Choose an app," find Google Cloud Translate or Data Enrichment, and select the appropriate trigger to start the scenario.

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

Google Cloud Translate
Click on the Google Cloud Translate node to configure it. You can modify the Google Cloud Translate 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 Translate 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 Translate
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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 Translate
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Iterator
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Webhook response
After configuring Google Cloud Translate, 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 Translate and Data Enrichment integration works as expected. Depending on your setup, data should flow between Google Cloud Translate and Data Enrichment (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Google Sheets + Data Enrichment + Google Cloud Translate: When a new row is added to Google Sheets, the data is enriched with location details. The enriched data is then translated to a specified language.
Data Enrichment + Google Cloud Translate + Salesforce: When a new lead is created in Salesforce, the lead data is enriched. The lead information, including the enriched data, is then translated into a specified language, and the lead record is updated in Salesforce.
About Google Cloud Translate
Automate multilingual workflows with Google Cloud Translate in Latenode. Translate text on-the-fly within any automation: localize content from web forms, translate support tickets, or adapt marketing copy for global audiences. Integrate it into complex flows and control translation logic visually, with optional JS coding for custom rules.
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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 Translate account to Data Enrichment using Latenode?
To connect your Google Cloud Translate account to Data Enrichment on Latenode, follow these steps:
Can I translate product reviews and enrich them with sentiment analysis?
Yes! Latenode enables seamless translation of reviews via Google Cloud Translate, followed by Data Enrichment for sentiment scores. Automate and scale insights effortlessly.
What types of tasks can I perform by integrating Google Cloud Translate with Data Enrichment?
Integrating Google Cloud Translate with Data Enrichment allows you to perform various tasks, including:
How does Latenode handle API rate limits for Google Cloud Translate?
Latenode includes built-in rate limiting and error handling to manage Google Cloud Translate's API, ensuring stable automation flows.
Are there any limitations to the Google Cloud Translate and Data Enrichment integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: