Integrate the Sifter API with the Python API

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

Popular Ways to Connect Sifter with Python#

Run Python Code with Python API on New Issue Event from Sifter API

Sifter + Python

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Popular Sifter 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 Sifter#

The Sifter API enables developers to craft workflows for tracking and managing customer interactions and support inquiries efficiently. By leveraging the Sifter API on Pipedream, users can automate issue tracking, streamline customer communication, and ensure quick resolution of support tickets. With Pipedream's ability to connect to hundreds of apps, you can create multi-step workflows that trigger actions in other tools, leading to increased productivity and a better support experience.

Connect Sifter#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sifter: {
      type: "app",
      app: "sifter",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://pdapikey.sifterapp.com/api/projects`,
      headers: {
        "Accept": `application/json`,
        "X-Sifter-Token": `${this.sifter.$auth.access_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}}

Sifter