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Use Firecrawl and Google AI to automatically analyze scraped website content. Latenode's visual editor simplifies complex setups and custom logic, letting you bring your own AI keys and affordably scale content analysis workflows.
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In the workspace, click the βCreate New Scenarioβ button.

Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Firecrawl, triggered by another scenario, or executed manually (for testing purposes). In most cases, Firecrawl or Google AI will be your first step. To do this, click "Choose an app," find Firecrawl or Google AI, and select the appropriate trigger to start the scenario.

Select the Firecrawl node from the app selection panel on the right.

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

Firecrawl
β
Google AI
Now, click the Google AI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google AI settings. Authentication allows you to use Google AI through Latenode.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
β
AI Anthropic Claude 3
β
Google AI
Trigger on Webhook
β
Firecrawl
β
β
Iterator
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Webhook response
After configuring Firecrawl, Google AI, and any additional nodes, donβt 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.
Run the scenario by clicking βRun onceβ and triggering an event to check if the Firecrawl and Google AI integration works as expected. Depending on your setup, data should flow between Firecrawl and Google AI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Firecrawl + Google AI + Slack: This flow monitors a specified website for changes using Firecrawl. Once changes are detected, Google AI (Gemini) summarizes the changes. Finally, a daily summary of these changes is sent to a designated Slack channel.
Firecrawl + Google AI + Google Sheets: This automation flow starts by using Firecrawl to crawl a website. Google AI (Gemini) analyzes the crawled content to determine the sentiment. Finally, the analyzed sentiment is recorded in a Google Sheets spreadsheet.
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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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.
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How can I connect my Firecrawl account to Google AI using Latenode?
To connect your Firecrawl account to Google AI on Latenode, follow these steps:
Can I analyze crawled website content using Google AI?
Yes, you can! Latenode allows you to send Firecrawl results to Google AI for analysis, unlocking content summarization, sentiment analysis, and topic extraction, streamlining insights.
What types of tasks can I perform by integrating Firecrawl with Google AI?
Integrating Firecrawl with Google AI allows you to perform various tasks, including:
How do I handle large Firecrawl datasets within Latenode workflows?
Latenode offers built-in data processing tools and JavaScript blocks, allowing you to efficiently manage and transform large datasets before sending them to Google AI.
Are there any limitations to the Firecrawl and Google AI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: