Integrate the Aylien News API API with the Python API

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

Popular Aylien News API 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.

Try it

Overview of Aylien News API#

The Aylien News API provides a robust dataset of news content from across the globe, enabling users to search, analyze, and collect insights from news articles and blogs in real-time. With this API, one can access a wealth of information categorized by source, sentiment, keywords, entities, and more. In Pipedream, Aylien News API can be used to trigger automations, collect data for analysis, or integrate with other apps to enhance media monitoring, market research, and content curation workflows.

Connect Aylien News API#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    aylien_news_api: {
      type: "app",
      app: "aylien_news_api",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.aylien.com/news/autocompletes`,
      headers: {
        "X-AYLIEN-NewsAPI-Application-ID": `${this.aylien_news_api.$auth.app_id}`,
        "X-AYLIEN-NewsAPI-Application-Key": `${this.aylien_news_api.$auth.api_key}`,
      },
      params: {
        type: `dbpedia_resources`,
        term: `Amazon`,
        language: `en`,
      },
    })
  },
})

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}}