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Connect Google Cloud to Python

Use 3 documented Google Cloud triggers to run 1 documented Python actions.

3 source triggers
1 target actions
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Why Connect Google Cloud & Python?

Start with a Google Cloud event

Choose from 3 documented triggers, including New Pub/Sub Messages, BigQuery - New Row, BigQuery - Query Results.

Run a Python action

Send the event into one of 1 documented actions, such as Run Python Code.

Map and review the workflow

Choose the fields and conditions for the workflow, then test the result before activation.

Available Triggers & Actions

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Google Cloud

Triggers (3)

New Pub/Sub Messages

Emit new Pub/Sub topic in your GCP account. Messages published to this topic are emitted from the Mazaal AI source.

polling
BigQuery - New Row

Emit new events when a new row is added to a table

polling
BigQuery - Query Results

Emit new events with the results of an arbitrary query

polling

Actions (15)

Bigquery Insert Rows

Inserts rows into a BigQuery table. See the docs and for an example here.

Create Bucket

Creates a bucket on Google Cloud Storage See the docs

Create Scheduled Query

Creates a scheduled query in Google Cloud. See the documentation

Get Bucket Metadata

Gets Google Cloud Storage bucket metadata. See the docs.

Get Object

Downloads an object from a Google Cloud Storage bucket, See the docs

List Bucket Name Options

Retrieves available options for the Bucket Name field.

List Buckets

List Google Cloud Storage buckets, See the docs

List Dataset ID Options

Retrieves available options for the Dataset ID field.

List Zone Options

Retrieves available options for the Zone field.

Logging - Write Log

Writes log data to the Logging service, See the docs

Run Query

Runs a query in BigQuery. See the documentation for more information.

Search Objects

Search objects by a prefix, See the docs

Switch Instance Boot Status

Switch a virtual machine instance boot status to start or stop it. See the documentation

Update Signature for Email in Organization

Update the signature for a specific email address in an organization. A Google Cloud service account with delegated domain-wide authority is required for this action. See the documentation

Upload An Object

Upload an object to a Google Cloud Storage bucket, See the docs

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Python

Actions (1)

Run Python Code

Write Python and use any of the 350k+ PyPi packages available. Refer to the Mazaal AI Python docs to learn more.

Integration Features

3 documented Google Cloud triggers
1 documented Python actions
Configurable field mapping
Conditional workflow steps
Execution monitoring

Capability Examples

Google Cloud trigger → Python action

Catalog example
Google CloudGoogle Cloud

New Pub/Sub Messages

PythonPython

Run Python Code

How It Works

1

Connect Apps

Authenticate your Google Cloud and Python accounts

2

Choose a Trigger

Select a documented Google Cloud event

3

Choose an Action

Select the documented Python operation to run

Test and Review

Verify field mapping and provider responses before activation

Frequently Asked Questions

Integration Benefits

Trigger-driven Workflows

Start the supported direction from one of 3 documented Google Cloud triggers.

Automated Actions

Run one of 1 documented Python actions after the selected trigger fires.

Provider Authentication

Review the authentication requirements published by each provider before activating the workflow.

Guided Configuration

Select a documented trigger, choose a target action, and map the fields required by the workflow.

Field Mapping

Map the fields exposed by the selected trigger and action, then review the required provider inputs.

Execution Review

Test the workflow and review provider responses before relying on it in production.

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