Integrate the Retriever API with the Python API

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

Popular Ways to Connect Retriever with Python#

Run Python Code with Python API on New Device Return Order from Retriever API

Retriever + Python

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Popular Retriever and Python Triggers#

New Device Return Order from the Retriever API

Triggers when a new device return order is created. See the documentation

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Popular Retriever and Python Actions#

Create Device Return with the Retriever API

Creates a device return order. 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 Order with the Retriever API

Fetches a single device return order. See the documentation

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Overview of Retriever#

The Retriever API is designed for automating contact information retrieval, enriching your CRM data, or building lead generation tools. By integrating it with Pipedream, you can strategically extract valuable data and automate workflows for marketing, sales, or customer support. Pipedream’s serverless platform enables you to connect Retriever with hundreds of other apps, triggering actions based on new data, or updating systems in real-time.

Connect Retriever#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    retriever: {
      type: "app",
      app: "retriever",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.helloretriever.com/api/v1/device_returns/`,
      headers: {
        Authorization: `Bearer ${this.retriever.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
    })
  },
})

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}}