Integrate the SwaggerHub API with the Python API

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

Popular Ways to Connect SwaggerHub with Python#

Run Python Code with Python API on New API Version Created from SwaggerHub API

SwaggerHub + Python

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Popular SwaggerHub and Python Triggers#

New API Version Created from the SwaggerHub API

Emit new event for every created version of a specific API. See the docs here

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Popular SwaggerHub and Python Actions#

Clone API Version with the SwaggerHub API

Clones a version for an API. 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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Delete API Version with the SwaggerHub API

Deletes a version of an API. See the docs here

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Overview of SwaggerHub#

The SwaggerHub API offers capabilities to streamline working with your Swagger (OpenAPI) definitions within SwaggerHub. On Pipedream, you can automate interactions with the SwaggerHub API to keep APIs in sync, manage your API versions, and integrate your API design workflow with other tools and services. Leverage Pipedream's serverless platform to create, update, and share your SwaggerHub API definitions across different environments or teams efficiently.

Connect SwaggerHub#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    swaggerhub: {
      type: "app",
      app: "swaggerhub",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.swaggerhub.com/user-management/v1/orgs/{your_org_name}/members`,
      headers: {
        "Authorization": `${this.swaggerhub.$auth.api_key}`,
      },
      params: {
        limit: `10`,
      },
    })
  },
})

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}}