Typeform

Typeform lets you build no-code forms, quizzes, and surveys - and get more responses.

Integrate the Typeform API with the Python API

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

Run Python Code with Python API on New Submission from Typeform API
Typeform + Python
 
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New Submission from the Typeform API

Emit new submission

 
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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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Create a Form with the Typeform API

Creates a form with its corresponing fields. See the docs here

 
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Create an Image with the Typeform API

Adds an image in your Typeform account. See the docs here

 
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Delete an Image with the Typeform API

Deletes an image from your Typeform account. See the docs here

 
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Delete Form with the Typeform API

Select a form to be deleted. See the docs here.

 
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Overview of Typeform

The Typeform API furnishes you with the means to create dynamic forms and collect user responses in real-time. By leveraging this API within Pipedream's serverless platform, you can automate workflows to process this data, integrate seamlessly with other services, and react to form submissions instantaneously. This empowers you to craft tailored responses, synchronize with databases, trigger email campaigns, or even manage event registrations without manual intervention.

Connect Typeform

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

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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}}