Integrate the Remote Retrieval API with the Python API

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

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Popular Remote Retrieval and Python Actions#

Get Pending Orders with the Remote Retrieval API

Retrieve a list of the orders for which the payment process has not been completed.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 Specific Order with the Remote Retrieval API

Fetches a single device return order. See the documentation

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Overview of Remote Retrieval#

The Remote-Retriever API is tailored for automating the retrieval of contact information, enhancing your CRM data, or developing lead generation tools. By integrating it with Pipedream, you can efficiently extract valuable data and automate workflows for marketing, sales, or customer support. Pipedream’s serverless platform allows you to connect Retriever with numerous other apps, triggering actions based on new data, or updating systems instantly.

Connect Remote Retrieval#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    remote_retrieval: {
      type: "app",
      app: "remote_retrieval",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://remoteretrieval.com/RR-enterprise/remoteretrieval/public/index.php/api/v1/validate/user`,
      headers: {
        Authorization: `Bearer ${this.remote_retrieval.$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}}

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