Tapform

Turn your website into a lead generating machine with forms.

Integrate the Tapform API with the Python API

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

Run Python Code with Python API on New Lead Added from Tapform API
Tapform + Python
 
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New Lead Added from the Tapform API

Emit new event when a lead is added to Tapform.

 
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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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Overview of Tapform

The Tapform API furnishes a way to automate and integrate form data handling in Pipedream's serverless environment. With it, you can manipulate form submissions, manage user data, and connect forms to other services for complex workflows. This opens endless possibilities to streamline data collection processes, react in real-time to user submissions, and connect form data to more than 500+ apps available on Pipedream.

Connect Tapform

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    tapform: {
      type: "app",
      app: "tapform",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://apimvp.tapform.io/api/leads/zapier-leads`,
      headers: {
        "tapform-api-key": `${this.tapform.$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

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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}}