Perigon

Compare news from all sides, decipher fact from fiction, and transform big media into actionable insights.

Integrate the Perigon API with the Python API

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

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.

 
Try it

Overview of Perigon

The Perigon API enables the creation and management of complex data relationships, allowing for the automation of data-driven processes. With this API, you can streamline data synchronization, manage master data, and enhance business intelligence by connecting Perigon's data capabilities with various apps and services. Automating workflows with the Perigon API on Pipedream can lead to increased efficiency by reducing manual data handling, ensuring data accuracy, and providing actionable insights through connected systems.

Connect Perigon

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    perigon: {
      type: "app",
      app: "perigon",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.goperigon.com/v1/all`,
      params: {
        apiKey: `${this.perigon.$auth.apiKey}`,
      },
    })
  },
})

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

1
2
3
4
5
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}}