Integrate the Vercel API with the Python API

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

Popular Ways to Connect Vercel with Python#

Run Python Code with Python API on New Deployment from Vercel (Token Auth) API

Vercel + Python

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Popular Vercel and Python Triggers#

New Deployment from the Vercel API

Emit new event when a deployment is created

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Popular Vercel and Python Actions#

Cancel Deployment with the Vercel API

Cancel a deployment which is currently building. See the docs

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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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Create Deployment with the Vercel API

Create a new deployment from a GitHub repository. See the docs

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List Deployments with the Vercel API

List deployments under the account corresponding to the API token. See the docs

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Overview of Vercel#

The Vercel API empowers developers to automate, manage, and interact with their Vercel projects and deployments directly through code. With the Vercel API on Pipedream, you can harness the power of serverless functions to create dynamic and responsive workflows. Automate deployment processes, sync deployment statuses with other tools, trigger notifications based on deployment events, or manage your domains and aliases—all within the seamless integration landscape of Pipedream.

Connect Vercel#

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