Integrate the Adalo API with the Python API

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

Popular Ways to Connect Adalo with Python#

Run Python Code with Python API on New Record from Adalo API

Adalo + Python

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Popular Adalo and Python Triggers#

New Record from the Adalo API

Emit new event when is created a record.

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Popular Adalo and Python Actions#

Create Record with the Adalo API

Create a new record. See 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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Get Records with the Adalo API

Get all records from a collection. See docs here

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Update Record with the Adalo API

Update a record. See docs here

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Overview of Adalo#

The Adalo API allows for the creation and manipulation of database records in your Adalo apps. Automating workflows with Pipedream can enhance your Adalo app's functionality, trigger custom actions based on app events, sync data across platforms, or notify users and team members about important updates. By leveraging Pipedream's ability to connect with hundreds of other apps, you can create sophisticated, multi-step workflows that respond dynamically to your Adalo app's data and events.

Connect Adalo#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    adalo: {
      type: "app",
      app: "adalo",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.adalo.com/v0/apps/[APP_ID]/collections/[COLLECTION_ID]`,
      headers: {
        Authorization: `Bearer ${this.adalo.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
    })
  },
})

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}}