Integrate the AppDrag API with the Python API

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

Popular AppDrag and Python Actions#

Execute API Function with the AppDrag API

Executes an API function from a cloud backend. See the documentation

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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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Insert Row with the AppDrag API

Inserts a new row into a cloud database table. See the documentation

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Update Row with the AppDrag API

Updates a row in a cloud database table. See the documentation

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Overview of AppDrag#

The AppDrag API lets you manage cloud functions, databases, and mail sending features within your AppDrag projects. With Pipedream, you can harness these capabilities to automate workflows such as syncing data between different platforms, processing form submissions, or triggering communication sequences. By connecting AppDrag’s API to Pipedream, you gain the ability to create serverless workflows that can respond to various triggers like webhooks, schedules, or even actions from other apps.

Connect AppDrag#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    appdrag: {
      type: "app",
      app: "appdrag",
    }
  },
  async run({steps, $}) {
    const data = {
      "APIKey": `${this.appdrag.$auth.api_key}`,
    }
    return await axios($, {
      method: "post",
      url: `https://${this.appdrag.$auth.app_id}.appdrag.site/api/testfunc`,
      headers: {
        "Content-Type": `x-www-form-urlencoded`,
      },
      data,
    })
  },
})

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}}