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

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

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

Google Vertex AI
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Outscraper
Authenticate Outscraper
Now, click the Outscraper node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Outscraper settings. Authentication allows you to use Outscraper through Latenode.
Configure the Google Vertex AI and Outscraper 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 Vertex AI and Outscraper 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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Outscraper
Trigger on Webhook
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Google Vertex AI
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Google Vertex AI, Outscraper, 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 Vertex AI and Outscraper integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Outscraper (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Vertex AI and Outscraper
Outscraper + Google Vertex AI + Google Sheets: Scrape customer reviews from Outscraper, analyze the sentiment of each review using Google Vertex AI's Gemini model, and then log the review and its sentiment score in a Google Sheet.
Outscraper + Google Vertex AI + Slack: Monitor competitor mentions using Outscraper's Google Search News, analyze the sentiment of each mention with Google Vertex AI's Gemini model, and alert the marketing team in Slack if the sentiment is negative or neutral.
Google Vertex AI and Outscraper integration alternatives
About Google Vertex AI
Use Vertex AI in Latenode to build AI-powered automation. Quickly integrate machine learning models for tasks like sentiment analysis or image recognition. Automate data enrichment or content moderation workflows without complex coding. Latenode’s visual editor makes it easier to chain AI tasks and scale them reliably, paying only for the execution time of each flow.
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About Outscraper
Need to scrape web data at scale? Integrate Outscraper into Latenode to automate data extraction workflows. Get structured data from search engines, social media, and e-commerce sites without complex coding. Combine with Latenode's no-code tools, JS scripts, and webhooks for custom data pipelines that adapt to any business need.
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FAQ Google Vertex AI and Outscraper
How can I connect my Google Vertex AI account to Outscraper using Latenode?
To connect your Google Vertex AI account to Outscraper on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Vertex AI and click on "Connect".
- Authenticate your Google Vertex AI and Outscraper accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I enrich scraped data with AI-generated summaries?
Yes, you can! Latenode allows you to seamlessly pass Outscraper data to Google Vertex AI for analysis and summarization. This provides powerful data enrichment with no-code AI steps.
What types of tasks can I perform by integrating Google Vertex AI with Outscraper?
Integrating Google Vertex AI with Outscraper allows you to perform various tasks, including:
- Analyzing sentiment of scraped customer reviews using AI models.
- Generating product descriptions from scraped data with AI.
- Classifying scraped data categories for better organization.
- Identifying trends in scraped web content using AI insights.
- Translating scraped text into multiple languages using Vertex AI.
Can I use custom prompts with Google Vertex AI on Latenode?
Yes! Latenode provides full control over prompt engineering for Vertex AI, allowing tailored responses based on your scraped Outscraper data.
Are there any limitations to the Google Vertex AI and Outscraper integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits of both Google Vertex AI and Outscraper apply.
- Complex data transformations might require JavaScript knowledge.
- Large data volumes can impact workflow execution time.