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

Add the Google Cloud Storage Node
Select the Google Cloud Storage node from the app selection panel on the right.


Google Cloud Storage

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


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Pipefy


Authenticate Pipefy
Now, click the Pipefy node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Pipefy settings. Authentication allows you to use Pipefy through Latenode.
Configure the Google Cloud Storage and Pipefy 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 Google Cloud Storage and Pipefy 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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AI Anthropic Claude 3
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Pipefy
Trigger on Webhook
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Google Cloud Storage
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Webhook response


Save and Activate the Scenario
After configuring Google Cloud Storage, Pipefy, 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 Google Cloud Storage and Pipefy integration works as expected. Depending on your setup, data should flow between Google Cloud Storage and Pipefy (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Cloud Storage and Pipefy
Pipefy + Google Cloud Storage + Google Sheets: When a card reaches the 'Done' phase in Pipefy, the automation archives attached files to a specified Google Cloud Storage bucket. It then logs the file path and other relevant details into a Google Sheet for tracking and auditing purposes.
Pipefy + Google Cloud Storage + Slack: Upon a Pipefy card entering a defined phase, this workflow archives the associated files to Google Cloud Storage. A summary message, including links to the archived files, is then sent to a designated Slack channel to notify the team.
Google Cloud Storage and Pipefy integration alternatives

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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About Pipefy
Orchestrate Pipefy process management inside Latenode for end-to-end automation. Trigger flows on card changes, create new cards from external data, and sync Pipefy data with other apps. Bypass manual updates and build complex workflows using visual tools, code, or AI — without step limits or vendor lock-in.
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FAQ Google Cloud Storage and Pipefy
How can I connect my Google Cloud Storage account to Pipefy using Latenode?
To connect your Google Cloud Storage account to Pipefy on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Storage and click on "Connect".
- Authenticate your Google Cloud Storage and Pipefy accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically back up Pipefy attachments to Google Cloud Storage?
Yes, you can! Latenode's flexible workflow engine lets you automate backups ensuring data safety. Benefit from scheduled triggers and custom logic to manage your data effectively.
What types of tasks can I perform by integrating Google Cloud Storage with Pipefy?
Integrating Google Cloud Storage with Pipefy allows you to perform various tasks, including:
- Automatically backing up Pipefy attachments to a specified GCS bucket.
- Creating new Pipefy cards when files are added to a GCS bucket.
- Generating shareable links to files in GCS directly from Pipefy cards.
- Updating Pipefy cards with metadata from files stored in Google Cloud Storage.
- Archiving completed Pipefy records as CSV files to Google Cloud Storage.
How does Latenode handle large file transfers from Pipefy to Google Cloud Storage?
Latenode efficiently manages large files using streaming and chunking. This prevents memory issues and ensures reliable data transfer, plus you can scale it on demand.
Are there any limitations to the Google Cloud Storage and Pipefy integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial setup requires appropriate GCS bucket permissions.
- Complex workflows may require some JavaScript knowledge for custom data transformations.
- Real-time synchronization depends on Pipefy's API rate limits.