Integrate the AnonyFlow API with the Python API

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

Popular AnonyFlow and Python Actions#

Protect Sensitive Data with the AnonyFlow API

Encrypts sensitive data using AnonyFlow encryption service with a unique private key managed by AnonyFlow. 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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Unprotect Sensitive Data with the AnonyFlow API

Decrypts protected data using AnonyFlow decryption service with a unique private key, managed by AnonyFlow. See the documentation

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Overview of AnonyFlow#

The AnonyFlow API provides a way to manage and automate data privacy operations. Use it on Pipedream to orchestrate data anonymization workflows for compliance with privacy regulations like GDPR. This API can handle personal data extraction, anonymization, and deletion requests programmatically. With Pipedream's serverless platform, you can integrate these privacy functions into your existing systems, triggering actions based on webhooks, schedules, or other apps' events.

Connect AnonyFlow#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    anonyflow: {
      type: "app",
      app: "anonyflow",
    }
  },
  async run({steps, $}) {
    const data = {
      "data": `YOUR_DATA`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.anonyflow.com/anony-value`,
      headers: {
        "x-api-key": `${this.anonyflow.$auth.api_key}`,
        "accept": `application/json`,
      },
      data,
    })
  },
})

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}}