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AI agent that builds your workflows for you
Hundreds of apps to connect
Extract insights faster by using Firecrawl to scrape web data, then AI: Mistral to summarize and analyze it directly within Latenode’s visual editor. Scale insights affordably by paying only for execution time.
Connect Firecrawl and AI: Mistral in minutes with Latenode.
Create Firecrawl to AI: Mistral workflow
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Firecrawl
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In the workspace, click the “Create New Scenario” button.

Add the first node – 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 AI: Mistral will be your first step. To do this, click "Choose an app," find Firecrawl or AI: Mistral, 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 AI: Mistral from the list of available apps, and choose the action you need from the list of nodes within AI: Mistral.

Firecrawl
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AI: Mistral
Now, click the AI: Mistral node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your AI: Mistral settings. Authentication allows you to use AI: Mistral 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
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AI Anthropic Claude 3
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AI: Mistral
Trigger on Webhook
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Firecrawl
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Iterator
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Webhook response
After configuring Firecrawl, AI: Mistral, 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.
Run the scenario by clicking “Run once” and triggering an event to check if the Firecrawl and AI: Mistral integration works as expected. Depending on your setup, data should flow between Firecrawl and AI: Mistral (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Firecrawl + AI: Mistral + Slack: Monitors a website for changes using Firecrawl, then uses AI: Mistral to summarize the changes. Finally, sends a message in Slack to notify the team about the updates.
Firecrawl + AI: Mistral + Google Sheets: Crawls a website using Firecrawl, extracts relevant data, uses AI: Mistral to gain insights from the data, and saves the extracted insights into a Google Sheet.
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 AI: Mistral
Use AI: Mistral in Latenode to automate content creation, text summarization, and data extraction tasks. Connect it to your workflows for automated email generation or customer support ticket analysis. Build custom logic and scale complex text-based processes without code, paying only for execution time.
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How can I connect my Firecrawl account to AI: Mistral using Latenode?
To connect your Firecrawl account to AI: Mistral on Latenode, follow these steps:
Can I summarize crawled website content using AI: Mistral?
Yes, you can! Latenode allows you to seamlessly pass Firecrawl data to AI: Mistral for summarization, streamlining content analysis and reporting effortlessly.
What types of tasks can I perform by integrating Firecrawl with AI: Mistral?
Integrating Firecrawl with AI: Mistral allows you to perform various tasks, including:
Can I filter Firecrawl results based on AI: Mistral sentiment analysis?
Yes! Latenode’s flexible logic allows filtering Firecrawl results based on sentiment scores returned by AI: Mistral, for targeted data processing.
Are there any limitations to the Firecrawl and AI: Mistral integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: