How to connect Google Cloud Text-To-Speech and Phantombuster
Create a New Scenario to Connect Google Cloud Text-To-Speech and Phantombuster
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 Phantombuster will be your first step. To do this, click "Choose an app," find Google Cloud Text-To-Speech or Phantombuster, 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 Phantombuster Node
Next, click the plus (+) icon on the Google Cloud Text-To-Speech node, select Phantombuster from the list of available apps, and choose the action you need from the list of nodes within Phantombuster.


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

Save and Activate the Scenario
After configuring Google Cloud Text-To-Speech, Phantombuster, 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 Phantombuster integration works as expected. Depending on your setup, data should flow between Google Cloud Text-To-Speech and Phantombuster (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 Phantombuster
Phantombuster + Google Cloud Text-To-Speech + Slack: When Phantombuster completes a scraping task and produces a new output, the scraped data is converted into audio using Google Cloud Text-To-Speech. The resulting audio is then sent to a designated Slack channel.
Phantombuster + Google Cloud Text-To-Speech + Email: After Phantombuster finishes scraping LinkedIn profiles, the extracted summaries are transformed into audio using Google Cloud Text-To-Speech. Finally, the audio file is attached and sent via email for lead nurturing purposes.
Google Cloud Text-To-Speech and Phantombuster 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 Phantombuster
Automate web data extraction with Phantombuster in Latenode. Scrape social media, websites, and directories to enrich your workflows. Build scalable lead generation or market research processes by integrating Phantombuster's agents directly into Latenode's visual, no-code environment. Use Latenode’s flexible tools for data transformation and routing.
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FAQ Google Cloud Text-To-Speech and Phantombuster
How can I connect my Google Cloud Text-To-Speech account to Phantombuster using Latenode?
To connect your Google Cloud Text-To-Speech account to Phantombuster 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 Phantombuster accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I generate audio for personalized outreach campaigns?
Yes, you can. Latenode lets you automate audio creation from Phantombuster data, enhancing outreach with personalized voice messages. Use AI for unique content.
What types of tasks can I perform by integrating Google Cloud Text-To-Speech with Phantombuster?
Integrating Google Cloud Text-To-Speech with Phantombuster allows you to perform various tasks, including:
- Automating voiceover creation for scraped content from Phantombuster.
- Generating personalized audio messages for LinkedIn profiles.
- Creating audio versions of blog posts scraped via Phantombuster.
- Producing localized voice content for different target audiences.
- Building a podcast from scraped articles and text-to-speech output.
How do I handle Google Cloud Text-To-Speech API authentication within Latenode?
Latenode simplifies API authentication with secure credential storage and streamlined connection setup, so you can focus on automation logic.
Are there any limitations to the Google Cloud Text-To-Speech and Phantombuster integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits of Google Cloud Text-To-Speech and Phantombuster apply.
- Complex workflow logic might require JavaScript knowledge.
- Audio quality depends on the chosen Google Cloud Text-To-Speech voice.