Google Programmable Search Engine and Deepgram Integration

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Transcribe audio from Google Programmable Search Engine results using Deepgram. Latenode’s visual editor simplifies complex workflows, while affordable execution-based pricing beats per-step costs. Add custom logic with JavaScript.

Google Programmable Search Engine + Deepgram integration

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Google Programmable Search Engine

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Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Programmable Search Engine and Deepgram

Create a New Scenario to Connect Google Programmable Search Engine and Deepgram

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 Programmable Search Engine, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Programmable Search Engine or Deepgram will be your first step. To do this, click "Choose an app," find Google Programmable Search Engine or Deepgram, and select the appropriate trigger to start the scenario.

Add the Google Programmable Search Engine Node

Select the Google Programmable Search Engine node from the app selection panel on the right.

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Configure the Google Programmable Search Engine

Click on the Google Programmable Search Engine node to configure it. You can modify the Google Programmable Search Engine URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Add the Deepgram Node

Next, click the plus (+) icon on the Google Programmable Search Engine node, select Deepgram from the list of available apps, and choose the action you need from the list of nodes within Deepgram.

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Authenticate Deepgram

Now, click the Deepgram node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Deepgram settings. Authentication allows you to use Deepgram through Latenode.

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Configure the Google Programmable Search Engine and Deepgram 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 Programmable Search Engine and Deepgram 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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Save and Activate the Scenario

After configuring Google Programmable Search Engine, Deepgram, 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 Programmable Search Engine and Deepgram integration works as expected. Depending on your setup, data should flow between Google Programmable Search Engine and Deepgram (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Google Programmable Search Engine and Deepgram

Google Programmable Search Engine + Deepgram + Slack: Monitor a Google Programmable Search Engine for mentions of a company. When a new result is found, transcribe the audio from the URL using Deepgram and notify the PR team in Slack with the transcription.

Google Programmable Search Engine + Deepgram + Google Docs: Transcribe audio/video files found via a Google Programmable Search Engine query using Deepgram, then save the transcript to a Google Doc.

Google Programmable Search Engine and Deepgram integration alternatives

About Google Programmable Search Engine

Use Google Programmable Search Engine in Latenode to build focused search workflows. Automatically extract data from specific sites, monitor brand mentions, or gather research. Combine it with AI nodes to analyze results, filter noise, and deliver actionable insights without manual crawling. Integrate with any app through Latenode’s flexible API.

About Deepgram

Need to transcribe audio/video inside your Latenode automations? Deepgram offers fast, accurate speech-to-text. Connect it to your workflows for automated meeting summaries, content analysis, or customer support monitoring. Fine-tune results with custom vocabularies, all within Latenode's visual interface and code blocks.

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FAQ Google Programmable Search Engine and Deepgram

How can I connect my Google Programmable Search Engine account to Deepgram using Latenode?

To connect your Google Programmable Search Engine account to Deepgram on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Google Programmable Search Engine and click on "Connect".
  • Authenticate your Google Programmable Search Engine and Deepgram accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I transcribe audio from search results using Google Programmable Search Engine and Deepgram?

Yes, you can! Latenode lets you automate this: extract audio URLs from Google Programmable Search Engine results, send them to Deepgram for transcription, and store the text—all without code.

What types of tasks can I perform by integrating Google Programmable Search Engine with Deepgram?

Integrating Google Programmable Search Engine with Deepgram allows you to perform various tasks, including:

  • Automatically transcribing audio files found through custom search queries.
  • Creating searchable archives of spoken content identified via search.
  • Analyzing sentiment in audio content related to specific search terms.
  • Generating text summaries from spoken content discovered via search.
  • Monitoring brand mentions in podcasts found via Google Programmable Search Engine.

How can I filter search results by audio content using Google Programmable Search Engine in Latenode?

Use Google Programmable Search Engine to find audio files, then use Latenode’s data manipulation tools and Deepgram to transcribe and analyze the audio.

Are there any limitations to the Google Programmable Search Engine and Deepgram integration on Latenode?

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

  • Large volumes of audio transcription may incur Deepgram usage costs.
  • Complex search queries might require optimization for efficiency.
  • The accuracy of transcriptions depends on audio quality and Deepgram's capabilities.

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