How to connect Firecrawl and Google Cloud Storage
Create a New Scenario to Connect Firecrawl and Google Cloud Storage
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 Firecrawl, triggered by another scenario, or executed manually (for testing purposes). In most cases, Firecrawl or Google Cloud Storage will be your first step. To do this, click "Choose an app," find Firecrawl or Google Cloud Storage, and select the appropriate trigger to start the scenario.

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

Firecrawl
Configure the 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.
Add the Google Cloud Storage Node
Next, click the plus (+) icon on the Firecrawl node, select Google Cloud Storage from the list of available apps, and choose the action you need from the list of nodes within Google Cloud Storage.

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Authenticate Google Cloud Storage
Now, click the Google Cloud Storage node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud Storage settings. Authentication allows you to use Google Cloud Storage through Latenode.
Configure the Firecrawl and Google Cloud Storage 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 Firecrawl and Google Cloud Storage Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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Trigger on Webhook
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Save and Activate the Scenario
After configuring Firecrawl, Google Cloud Storage, 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 Firecrawl and Google Cloud Storage integration works as expected. Depending on your setup, data should flow between Firecrawl and Google Cloud Storage (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Firecrawl and Google Cloud Storage
Firecrawl + Google Cloud Storage + Slack: Firecrawl extracts data from a website and uploads the extracted file to Google Cloud Storage. Upon successful upload, a notification is sent to a designated Slack channel, informing the team that a new website archive is available.
Google Cloud Storage + Firecrawl + Google Sheets: When a new file is uploaded to Google Cloud Storage, it triggers a website crawl using Firecrawl. The results of the crawl, including the status, are then logged in a Google Sheet for tracking and analysis.
Firecrawl and Google Cloud Storage integration alternatives
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 Cloud Storage
Use Google Cloud Storage in Latenode for automated file management. Upload, download, and manage files in your workflows. Automate backups, data archiving, or image processing. Connect GCS to other apps for seamless data transfer and triggering events. Latenode's visual editor simplifies complex file-based automations.
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See how Latenode works
FAQ Firecrawl and Google Cloud Storage
How can I connect my Firecrawl account to Google Cloud Storage using Latenode?
To connect your Firecrawl account to Google Cloud Storage on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Firecrawl and click on "Connect".
- Authenticate your Firecrawl and Google Cloud Storage accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically back up crawled data to Google Cloud Storage?
Yes, you can! Latenode allows you to automate backups using a visual interface, ensuring your Firecrawl data is safely stored and readily available in Google Cloud Storage.
What types of tasks can I perform by integrating Firecrawl with Google Cloud Storage?
Integrating Firecrawl with Google Cloud Storage allows you to perform various tasks, including:
- Archive crawled website data for long-term storage and compliance.
- Create scheduled backups of your Firecrawl data to Google Cloud Storage.
- Process crawled data and store transformed results in Google Cloud Storage.
- Trigger data analysis workflows in Google Cloud Storage based on new crawls.
- Build a searchable archive of crawled content within Google Cloud Storage.
Can I filter Firecrawl data before it’s sent to Google Cloud Storage?
Yes, using Latenode, you can apply filters and transformations to your Firecrawl data, ensuring only relevant information is stored in Google Cloud Storage.
Are there any limitations to the Firecrawl and Google Cloud Storage integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers may be subject to Google Cloud Storage's API rate limits.
- The integration is dependent on the stability of the Firecrawl and Google Cloud Storage APIs.
- Real-time synchronization of very large datasets may experience delays.