Integrate the ClinchPad API with the Python API

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

Popular Ways to Connect ClinchPad with Python#

Run Python Code with Python API on New Lead Created from ClinchPad API

ClinchPad + Python

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Popular ClinchPad and Python Triggers#

New Lead Created from the ClinchPad API

Emit new event for each new created lead.

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Popular ClinchPad and Python Actions#

Create Lead with the ClinchPad API

Creates a lead. See docs here (Go to Create a lead)

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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 ClinchPad#

ClinchPad is a modern CRM tailored for small teams to manage sales pipelines with minimal fuss. The ClinchPad API integrates with Pipedream, allowing you to automate interactions with your sales pipeline. For instance, you can automatically create leads, update their status, track communications, or gather analytics for reporting purposes. Through Pipedream, you can connect ClinchPad with hundreds of other apps to streamline your sales process, maintain customer relations, and close deals faster.

Connect ClinchPad#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    clinchpad: {
      type: "app",
      app: "clinchpad",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.clinchpad.com/api/v1/users`,
      auth: {
        username: `api-key`,
        password: `${this.clinchpad.$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}}