NewsAPI

Search worldwide news with code

Integrate the NewsAPI API with the Python API

Setup the NewsAPI API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate NewsAPI 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 NewsAPI

NewsAPI is a powerful tool for accessing live and historic news articles from worldwide sources. With its simple RESTful interface, you can harness the flow of information for content aggregation, media monitoring, or data analytics. Pipedream's serverless platform takes it further by allowing you to automate interactions with NewsAPI, letting you integrate news data into diverse workflows, trigger actions based on news events, or blend news with other data sources for insightful analysis.

Connect NewsAPI

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    newsapi: {
      type: "app",
      app: "newsapi",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://newsapi.org/v2/top-headlines`,
      headers: {
        Authorization: `Bearer ${this.newsapi.$auth.oauth_access_token}`,
      },
      params: {
        country: `us`,
        category: `business`,
        apiKey: `${this.newsapi.$auth.api_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

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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}}