Integrate the Dribbble API with the Python API

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

Popular Ways to Connect Dribbble with Python#

Run Python Code with Python API on New Shot Created from Dribbble API

Dribbble + Python

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Popular Dribbble and Python Triggers#

New Shot Created from the Dribbble API

Emit new events when new shots are created

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Popular Dribbble and Python Actions#

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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Overview of Dribbble#

The Dribbble API unlocks the design world of Dribbble, letting you tap into a community of graphic designers, illustrators, and artists. By integrating with the API via Pipedream, you can automate tasks like tracking user stats, exploring popular shots, and posting updates automatically. With Pipedream's no-code platform, you can connect Dribbble to hundreds of other apps to streamline your design workflow, get insights, and engage with the design community.

Connect Dribbble#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dribbble: {
      type: "app",
      app: "dribbble",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.dribbble.com/v2/user`,
      headers: {
        Authorization: `Bearer ${this.dribbble.$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}}