Integrate the Figma API with the Python API

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

Popular Ways to Connect Figma with Python#

Run Python Code with Python API on New Comment (Instant) from Figma API

Figma + Python

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Popular Figma and Python Triggers#

New Comment (Instant) from the Figma API

Emit new event when someone comments on a file

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Popular Figma and Python Actions#

Delete a Comment with the Figma API

Delete a comment to a file. See the docs here

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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 Comments with the Figma API

Lists all comments left on a file. See the docs here

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Overview of Figma#

The Figma API unlocks the power to automate and integrate design workflows, enabling both designers and developers to extract assets, update designs, and manage files programmatically. By leveraging the Figma API on Pipedream, you can create automated processes that sync design updates with other tools, notify team members of changes, or feed design information into other parts of your digital ecosystem.

Connect Figma#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    figma: {
      type: "app",
      app: "figma",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.figma.com/v1/me`,
      headers: {
        Authorization: `Bearer ${this.figma.$auth.oauth_access_token}`,
      },
    })
  },
})

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}}