Integrate the Typebot API with the Python API

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

Popular Ways to Connect Typebot with Python#

Run Python Code with Python API on New Zapier Step Triggered (Instant) from Typebot API

Typebot + Python

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Popular Typebot and Python Triggers#

New Zapier Step Triggered (Instant) from the Typebot API

Emit new event when a zapier step is triggered. See the docs

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Popular Typebot 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 Typebot#

Typebot is a conversational form builder that allows you to create interactive and engaging forms for data collection. With Typebot API on Pipedream, you can automate the processing of form submissions, synchronize data with other services, and trigger customized workflows. Utilize the data gathered from Typebot in real-time, enrich it with other services, and streamline processes like lead generation, surveys, and feedback collection.

Connect Typebot#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    typebot: {
      type: "app",
      app: "typebot",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://typebot.io/api/users/me`,
      headers: {
        Authorization: `Bearer ${this.typebot.$auth.api_token}`,
      },
    })
  },
})

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}}