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Enrich web crawling insights by connecting Firecrawl to Google Vertex AI on Latenode. Seamlessly extract, analyze, and summarize large datasets using AI and no-code building blocks. Scale affordably and bring your own keys for enhanced customization.
Connect Google Vertex AI and Firecrawl in minutes with Latenode.
Create Google Vertex AI to Firecrawl workflow
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Create a New Scenario to Connect Google Vertex AI and Firecrawl
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 Firecrawl will be your first step. To do this, click "Choose an app," find Google Vertex AI or Firecrawl, 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 Firecrawl Node
Next, click the plus (+) icon on the Google Vertex AI node, select Firecrawl from the list of available apps, and choose the action you need from the list of nodes within Firecrawl.
Google Vertex AI
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Firecrawl
Authenticate Firecrawl
Now, click the Firecrawl node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Firecrawl settings. Authentication allows you to use Firecrawl through Latenode.
Configure the Google Vertex AI and Firecrawl 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 Firecrawl Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Firecrawl
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, Firecrawl, 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 Firecrawl integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Firecrawl (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Firecrawl + Google Vertex AI + Google Sheets: Firecrawl scrapes a website, then Google Vertex AI analyzes the scraped content to determine sentiment. The sentiment analysis result is then logged in a Google Sheet.
Firecrawl + Google Vertex AI + Slack: Firecrawl scrapes a website. Google Vertex AI analyzes the scraped content and, if the sentiment is negative, a message is sent to a Slack channel.
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 Firecrawl
Use Firecrawl in Latenode to extract structured data from websites at scale. Monitor product prices, track competitors, or collect research data automatically. Unlike standalone scrapers, Latenode lets you integrate scraped data into complex workflows with custom logic and direct API connections, all without code.
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How can I connect my Google Vertex AI account to Firecrawl using Latenode?
To connect your Google Vertex AI account to Firecrawl on Latenode, follow these steps:
Can I summarize crawled content using Vertex AI?
Yes, absolutely! Latenode simplifies this. Trigger Vertex AI with new Firecrawl data to generate summaries. Benefit: process large amounts of web content efficiently.
What types of tasks can I perform by integrating Google Vertex AI with Firecrawl?
Integrating Google Vertex AI with Firecrawl allows you to perform various tasks, including:
How does Latenode manage Vertex AI request limits?
Latenode provides tools for queueing requests and managing API rate limits, ensuring stable, reliable Google Vertex AI processing at scale.
Are there any limitations to the Google Vertex AI and Firecrawl integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: