Basin

Deploy a powerful, easy-to-configure form backend without writing a single line of server side code.

Integrate the Basin API with the Python API

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

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Run Python Code with Python API on New Submission Received from Basin API
Basin + Python
 
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New Submission Received from the Basin API

Emit new event on each new form submission received.

 
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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 Basin

The Basin API provides a powerful platform for automating form submissions, gathering feedback, and conducting surveys with ease. By leveraging the Pipedream's serverless execution model, you can trigger workflows in response to new form submissions, process and analyze the data, and take action in countless other apps. Whether you're routing form data to a CRM, generating support tickets, or synthesizing customer insights, Basin on Pipedream simplifies these tasks with its event-driven architecture and seamless integrations.

Connect Basin

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    basin: {
      type: "app",
      app: "basin",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://usebasin.com/api/v1/submissions`,
      params: {
        api_token: `${this.basin.$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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo