Integrate the Autom API with the Python API

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

Popular Autom and Python Actions#

Bing Search with the Autom API

Scrape the results from Bing search engine via the Autom.dev service. 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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Brave Search with the Autom API

Scrape the results from Brave search engine using Autom.dev. See the documentation

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Google Search with the Autom API

Scrape the results from the Google search engine using the Autom.dev API. See the documentation

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Overview of Autom#

Autom API offers a rich set of features for creating, managing, and deploying automations. With its capabilities, you can streamline tasks by setting up triggers and actions based on certain conditions. When used within Pipedream, you can harness these features to create robust, serverless workflows that integrate with numerous other services and APIs. Autom API's interaction with Pipedream allows for building scalable automation solutions that respond to real-time events and connect with a multitude of apps to perform complex tasks seamlessly.

Connect Autom#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    autom: {
      type: "app",
      app: "autom",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://autom.dev/api/usage`,
      headers: {
        "Content-Type": `application/json`,
        "x-api-key": `${this.autom.$auth.api_key}`,
      },
    })
  },
})

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}}