Integrate the FTrack API with the Python API

Setup the FTrack API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate FTrack and Python remarkably fast. Free for developers.

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Popular Ways to Connect FTrack with Python#

Run Python Code with Python API on New Project Added from FTrack API

FTrack + Python

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Run Python Code with Python API on New Task Added from FTrack API

FTrack + Python

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Run Python Code with Python API on Status Changed from FTrack API

FTrack + Python

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Popular FTrack and Python Triggers#

New Project Added from the FTrack API

Triggered when a new task is added. See the documentation

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New Task Added from the FTrack API

Triggered when a new task is added. See the documentation

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Status Changed from the FTrack API

Triggered when the status of an item is changed. See the documentation

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Popular FTrack and Python Actions#

Get Task Info with the FTrack API

Get information about a task. See the documentation

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Run Python Code with the Python API

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

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List Schemas with the FTrack API

List all schemas. See the documentation

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Update Task with the FTrack API

Update attributes of a task. See the documentation

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Overview of FTrack#

The FTrack API is a powerhouse for creative project management, enabling users to automate and integrate a wide array of tasks related to project tracking, asset management, and team collaboration. With Pipedream, you can harness this API to create custom workflows that trigger actions within FTrack or connect it with other apps to streamline your creative operations. It's a toolset for improving efficiency by automating repetitive tasks, syncing data across applications, and orchestrating complex project management activities.

Connect FTrack#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ftrack: {
      type: "app",
      app: "ftrack",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "POST",
      url: `https://${this.ftrack.$auth.subdomain}.ftrackapp.com/api`,
      headers: {
        "Content-Type": `application/json`,
        "ftrack-user": `${this.ftrack.$auth.username}`,
        "ftrack-api-key": `${this.ftrack.$auth.api_key}`,
      },
      data: []
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

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