DingConnect

The most popular international top-up platform. Changing billions of lives by accelerating mobile access.

Integrate the DingConnect API with the Python API

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

Estimate Prices with the DingConnect API

Estimates prices send values using the DingConnect API. See the documentation

 
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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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Get Balance with the DingConnect API

Get the current agent balance from DingConnect. See the documentation

 
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Get Products with the DingConnect API

Retrieves a list of products from DingConnect. See the documentation

 
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Overview of DingConnect

DingConnect API provides a platform for connecting with mobile operators globally, allowing you to recharge phones or send airtime to anyone, anywhere. Within Pipedream, you can harness this API to automate mobile top-ups, manage your DingConnect account, and integrate with other services for comprehensive workflows. The API can be particularly powerful when combined with platforms that require notifications, confirmations, or financial transactions.

Connect DingConnect

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dingconnect: {
      type: "app",
      app: "dingconnect",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.dingconnect.com/api/V1/GetBalance`,
      headers: {
        Authorization: `Bearer ${this.dingconnect.$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}}