Integrate the Glide API with the Python API

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

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Popular Glide 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 Glide#

The Glide API allows you to create feature-rich, mobile-friendly apps directly from data sources like Google Sheets or Excel. On Pipedream, you can harness this seamless bridge between your data and the app interface to automate tasks, sync data in real time, and dynamically control your Glide apps. Combine Glide with other apps on Pipedream to enhance functionality, like triggering notifications, processing payments, or managing user data.

Connect Glide#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    glide: {
      type: "app",
      app: "glide",
    }
  },
  async run({steps, $}) {
    const data = {
      "appID": `{{your_app_id}}`,
      "queries": `[
        {
          "tableName": "{{your_table_name}}"
        }
      ]`,
    }
    return await axios($, {
      method: "POST",
      url: `https://api.glideapp.io/api/function/queryTables`,
      headers: {
        Authorization: `Bearer ${this.glide.$auth.secret_token}`,
        "Content-Type": `application/json`,
      },
      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}}

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