Integrate the FastField Mobile Forms API with the Python API

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

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Popular FastField Mobile Forms 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 FastField Mobile Forms#

The FastField Mobile Forms API allows you to automate interactions with your mobile forms. Using this API on Pipedream, you can trigger workflows based on form submissions, fetch and push data to and from your forms, and integrate with other services to streamline data processing. It’s ideal for creating powerful, serverless workflows that react to form data in real-time, update databases, send notifications, or even generate reports.

Connect FastField Mobile Forms#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    fastfield_mobile_forms: {
      type: "app",
      app: "fastfield_mobile_forms",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.fastfieldforms.com/services/v3/users`,
      headers: {
        Authorization: `Bearer ${this.fastfield_mobile_forms.$auth.session_token}`,
        "X-Gatekeeper-SessionToken": `${this.fastfield_mobile_forms.$auth.session_token}`,
        "FastField-API-Key": `${this.fastfield_mobile_forms.$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}}

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