Integrate the Payhere API with the Python API

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

Popular Ways to Connect Payhere with Python#

Run Python Code with Python API on New Webhook Event (Instant) from Payhere API

Payhere + Python

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Popular Payhere and Python Triggers#

New Webhook Event (Instant) from the Payhere API

Emit new event for each new webhook event

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Popular Payhere 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 Payhere#

Payhere, powered by Xendit, offers a powerful API that allows you to craft seamless payment experiences within your apps and websites. By leveraging this API on Pipedream, you can automate payment processing, synchronize transaction data with accounting systems, or trigger communication based on payment events. Pipedream's serverless platform enables the orchestration of Payhere with an array of other services to streamline financial operations, enhance customer engagement, and maintain robust financial records.

Connect Payhere#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    payhere: {
      type: "app",
      app: "payhere",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.payhere.$auth.environment}.payhere.co/api/v1/user`,
      headers: {
        Authorization: `Bearer ${this.payhere.$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}}