Integrate the REST Countries PE API with the Python API

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

Popular REST Countries PE and Python Actions#

Search Countries By Currency with the REST Countries PE API

Search for a country or countries by currency. See the docs

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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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Search Countries By Language with the REST Countries PE API

Search for a country or countries by language. See the docs

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Search Country By Name with the REST Countries PE API

Search for a country by name. See the docs

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Overview of REST Countries PE#

The REST Countries PE API provides data on countries across the globe, including information on name, population, area, language, currency, and much more. On Pipedream, this can turn into a powerhouse for automating workflows that necessitate geographical and demographic insights. By leveraging this API, you can enrich datasets, create educational content, trigger actions based on country-specific criteria, or simply gather data for analytical purposes. The ease of use with Pipedream's serverless platform means you can focus on logic and flow rather than the intricacies of infrastructure.

Connect REST Countries PE#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    rest_countries_pe: {
      type: "app",
      app: "rest_countries_pe",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://restcountries.com/v3.1/name/peru`,
      headers: {
        "Accept": `application/json`,
        "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}}