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Automate content analysis by using Firecrawl to identify key discussion points and then tl;dv to pinpoint the exact moments they occurred in customer interviews. Latenode's visual editor makes setup effortless, and you only pay for the execution time.
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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 tl;dv will be your first step. To do this, click "Choose an app," find Firecrawl or tl;dv, 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 tl;dv from the list of available apps, and choose the action you need from the list of nodes within tl;dv.

Firecrawl
β
tl;dv
Now, click the tl;dv node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your tl;dv settings. Authentication allows you to use tl;dv 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
tl;dv
Trigger on Webhook
β
Firecrawl
β
β
Iterator
β
Webhook response
After configuring Firecrawl, tl;dv, 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 tl;dv integration works as expected. Depending on your setup, data should flow between Firecrawl and tl;dv (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Firecrawl + tl;dv + Slack: When Firecrawl extracts website content, tl;dv generates meeting highlights, and a summary is sent to a specified Slack channel.
tl;dv + Firecrawl + Notion: When a tl;dv meeting summary is available, Firecrawl searches the website for keywords mentioned in the summary, and then relevant items are created in Notion.
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 tl;dv
Use tl;dv with Latenode to automate meeting insights. Get summaries and timestamps, then trigger actions: update CRMs, create tasks, or send follow-ups. Stop manually processing meeting notes. Latenode adds flexible routing, data transformation, and direct integrations, turning meeting data into actionable workflows.
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How can I connect my Firecrawl account to tl;dv using Latenode?
To connect your Firecrawl account to tl;dv on Latenode, follow these steps:
Can I automate summarization of scraped webinar data?
Yes, you can! Use Latenode to trigger tl;dv from Firecrawl data, creating automated summaries. Benefit from AI and JavaScript steps to refine outputs for maximum insight.
What types of tasks can I perform by integrating Firecrawl with tl;dv?
Integrating Firecrawl with tl;dv allows you to perform various tasks, including:
Can I use JavaScript to transform Firecrawl data before summarization?
Yes! Latenode allows you to use JavaScript to transform Firecrawl data before sending it to tl;dv, improving summary accuracy.
Are there any limitations to the Firecrawl and tl;dv integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: