Google AI and Apify Integration

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Orchestrate web data extraction with Apify, then use Google AI for instant content analysis and summarization. Latenode's visual editor and affordable pricing make scaling these AI-powered research workflows simple.

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Google AI

Apify

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google AI and Apify

Create a New Scenario to Connect Google AI and Apify

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

Add the Google AI Node

Select the Google AI node from the app selection panel on the right.

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Configure the Google AI

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

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Sign In

Run node once

Add the Apify Node

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

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Authenticate Apify

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

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Sign In

Run node once

Configure the Google AI and Apify 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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The action ID

Run node once

Set Up the Google AI and Apify 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 AI, Apify, 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 AI and Apify integration works as expected. Depending on your setup, data should flow between Google AI and Apify (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Google AI and Apify

Apify + Google AI + Google Sheets: When an Apify actor finishes running, it fetches the dataset items, uses Google AI to analyze the data, and then adds the analyzed results to a Google Sheet.

Apify + Google AI + Slack: When an Apify actor finishes running after scraping product reviews, the workflow uses Google AI to summarize the sentiment of the reviews, and then sends a message to a Slack channel with the sentiment analysis.

Google AI and Apify integration alternatives

About Google AI

Use Google AI in Latenode to add smarts to your workflows. Process text, translate languages, or analyze images automatically. Unlike direct API calls, Latenode lets you combine AI with other apps, add logic, and scale without code. Automate content moderation, sentiment analysis, and more.

About Apify

Use Apify in Latenode to extract web data at scale for lead generation, market research, and more. Apify handles complex scraping, while Latenode orchestrates the data: trigger workflows, transform results with AI, and send data to any app. Automate web actions visually and affordably.

See how Latenode works

FAQ Google AI and Apify

How can I connect my Google AI account to Apify using Latenode?

To connect your Google AI account to Apify on Latenode, follow these steps:

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

Can I analyze scraped website data with Google AI?

Yes, you can! Latenode lets you easily send Apify's scraped data to Google AI for analysis. Get valuable insights with no-code blocks and custom AI prompts.

What types of tasks can I perform by integrating Google AI with Apify?

Integrating Google AI with Apify allows you to perform various tasks, including:

  • Summarizing scraped articles using Google AI's natural language capabilities.
  • Classifying customer reviews extracted via Apify based on sentiment.
  • Generating product descriptions for e-commerce sites using scraped data.
  • Translating website content extracted by Apify into multiple languages.
  • Identifying key trends from scraped social media data with AI analysis.

Can I use custom JavaScript code with Google AI inside Latenode?

Yes! Latenode's integration supports custom JavaScript, so you can pre-process data or add unique logic to your AI workflows.

Are there any limitations to the Google AI and Apify integration on Latenode?

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

  • Rate limits from both Google AI and Apify apply based on your plans.
  • Complex data transformations may require custom JavaScript coding.
  • Large file processing can impact workflow execution time.

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