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

Add the Google Cloud Text-To-Speech Node
Select the Google Cloud Text-To-Speech node from the app selection panel on the right.


Google Cloud Text-To-Speech

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


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Monster API


Authenticate Monster API
Now, click the Monster API node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Monster API settings. Authentication allows you to use Monster API through Latenode.
Configure the Google Cloud Text-To-Speech and Monster API 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 Text-To-Speech and Monster API 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.

JavaScript
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AI Anthropic Claude 3
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Monster API
Trigger on Webhook
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Google Cloud Text-To-Speech
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Iterator
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Webhook response


Save and Activate the Scenario
After configuring Google Cloud Text-To-Speech, Monster API, 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 Text-To-Speech and Monster API integration works as expected. Depending on your setup, data should flow between Google Cloud Text-To-Speech and Monster API (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 Text-To-Speech and Monster API
Monster API + Google Cloud Text-To-Speech + Slack: Automatically announce new job postings. When a new job posting is available via Monster API, convert the job description to speech using Google Cloud Text-To-Speech, and then post a message to a dedicated Slack channel with the spoken summary.
Monster API + Google Cloud Text-To-Speech + Email: Convert job description previews to audio and send them via email to passive candidates. When a new job description preview is available via Monster API, convert the text to speech using Google Cloud Text-To-Speech, and then send the audio via email to passive candidates.
Google Cloud Text-To-Speech and Monster API integration alternatives

About Google Cloud Text-To-Speech
Use Google Cloud Text-To-Speech in Latenode to automate voice notifications, generate audio content from text, and create dynamic IVR systems. Integrate it into any workflow with a drag-and-drop interface. No code is required, and it's fully customizable with JavaScript for complex text manipulations. Automate voice tasks efficiently without vendor lock-in.
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About Monster API
Struggling with unreliable or slow data? Integrate Monster API in Latenode to build automated data validation and cleansing workflows. Use its data enrichment and verification features to refine your data, then route the cleaned info to other services. Benefit from Latenode's visual editor and scalability for consistent, error-free data flow.
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See how Latenode works
FAQ Google Cloud Text-To-Speech and Monster API
How can I connect my Google Cloud Text-To-Speech account to Monster API using Latenode?
To connect your Google Cloud Text-To-Speech account to Monster API on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Text-To-Speech and click on "Connect".
- Authenticate your Google Cloud Text-To-Speech and Monster API accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I generate personalized voice messages from job postings?
Yes, you can! Latenode's visual editor makes it simple to extract job details from Monster API, convert them to speech using Google Cloud Text-To-Speech, and deliver personalized audio content, improving candidate engagement.
What types of tasks can I perform by integrating Google Cloud Text-To-Speech with Monster API?
Integrating Google Cloud Text-To-Speech with Monster API allows you to perform various tasks, including:
- Automatically create audio summaries of new job postings for internal teams.
- Generate voice prompts for recruitment automation systems.
- Convert candidate profiles into spoken summaries for recruiters.
- Create accessible audio versions of job descriptions for visually impaired users.
- Trigger voice notifications for critical hiring updates.
What Google Cloud Text-To-Speech voice options are available in Latenode?
Latenode supports all Google Cloud Text-To-Speech voices and customization options. Control pitch, speed, and language for natural, engaging audio.
Are there any limitations to the Google Cloud Text-To-Speech and Monster API integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large volumes of text-to-speech conversions may incur Google Cloud Text-To-Speech costs.
- The quality of the generated speech depends on the source text provided by Monster API.
- Real-time voice generation is subject to Google Cloud Text-To-Speech API latency.