Integrate the QStash API with the Python API

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

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Popular Ways to Connect QStash with Python#

Run Python Code with Python API on New Topic Webhook from QStash API

QStash + Python

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Popular QStash and Python Triggers#

New Topic Webhook from the QStash API

Emit new events on each new QStash topic message

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Popular QStash and Python Actions#

Create Endpoint with the QStash API

Create a new HTTP endpoint on a QStash topic.

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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 Topic with the QStash API

Create a new QStash topic that emits to multiple endpoints.

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List Endpoints with the QStash API

Lists all your existing QStash endpoints.

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List Topics with the QStash API

List all your existing QStash topics.

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Overview of QStash#

QStash API offers a secure, scalable, and simple way to manage message queues and defer tasks. Using this API, you can enqueue messages, schedule tasks to run after a delay, and ensure that tasks are executed exactly once, leveraging the power of serverless architecture. With Pipedream's ability to connect to a multitude of services, you can build complex workflows that trigger actions in other apps based on events in QStash, allowing you to automate cross-application business processes with ease.

Connect QStash#

import { axios } from '@pipedream/platform';


export default defineComponent({
  props: {
    qstash: {
      type: "app",
      app: "qstash",
    },
    callback_url: {
      type: "string",
      label: "Callback URL",
      description: "A URL that will be called by QStash with the body given",
    },
    delay: {
      type: "string",
      label: "Delay",
      default: 0,
      description: "Delay the HTTP request to the callback URL (seconds)"
    }
  },
  async run({steps, $}) {
    return axios($, {
      url: `https://qstash.upstash.io/v1/publish/${this.callback_url}`,
      method: 'POST',
      headers: {
        'Authorization': `Bearer ${this.qstash.auth.qstash_token}`,
        'Upstash-Delay': `${this.qstash.delay}s`
      },
      data: {
        hello: 'world'
      }
    });
  }
})

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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