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Automatically create Streamtime projects from new Firecrawl leads. Latenode's visual editor simplifies complex workflows while JavaScript nodes allow for advanced customization, ensuring projects are perfectly tailored and efficiently managed.
Connect Firecrawl and Streamtime in minutes with Latenode.
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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 Streamtime will be your first step. To do this, click "Choose an app," find Firecrawl or Streamtime, 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 Streamtime from the list of available apps, and choose the action you need from the list of nodes within Streamtime.

Firecrawl
β
Streamtime
Now, click the Streamtime node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Streamtime settings. Authentication allows you to use Streamtime 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
Streamtime
Trigger on Webhook
β
Firecrawl
β
β
Iterator
β
Webhook response
After configuring Firecrawl, Streamtime, 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 Streamtime integration works as expected. Depending on your setup, data should flow between Firecrawl and Streamtime (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Streamtime + Firecrawl + Slack: When a job is updated in Streamtime, Firecrawl crawls the associated URL and if the status indicates an error, a message is sent to a designated Slack channel notifying the project manager.
Streamtime + Firecrawl + Google Sheets: When a job is completed in Streamtime, Firecrawl extracts website data and logs it into Google Sheets for performance tracking and analysis.
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 Streamtime
Streamtime project management inside Latenode: automate tasks like invoice creation based on project status, or sync time entries with accounting. Connect Streamtime to other apps via Latenode's visual editor and AI tools. Customize further with JavaScript for complex workflows. Manage projects and data automatically.
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How can I connect my Firecrawl account to Streamtime using Latenode?
To connect your Firecrawl account to Streamtime on Latenode, follow these steps:
Can I automatically update Streamtime projects based on Firecrawl's crawl results?
Yes, you can! Latenode allows seamless data transfer, automatically updating Streamtime projects with fresh Firecrawl data. Analyze website data, then update budgets β automatically!
What types of tasks can I perform by integrating Firecrawl with Streamtime?
Integrating Firecrawl with Streamtime allows you to perform various tasks, including:
HowdoesLatenodehandleFirecrawl'sdata volume forStreamtimeintegration?
Latenode efficiently processes large Firecrawl datasets using scalable architecture and optimized data transformation, ensuring smooth data flow to Streamtime.
Are there any limitations to the Firecrawl and Streamtime integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: