Integrate the New York Times API with the Python API

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

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Popular Ways to Connect New York Times with Python#

Run Python Code with Python API on New Article Published from New York Times API

New York Times + Python

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Popular New York Times and Python Triggers#

New Article Published from the New York Times API

Emit new event when an article is published.

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Popular New York Times 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 New York Times#

The New York Times API offers a variety of endpoints to access different types of news and information. With Pipedream, you can tap into this wealth of data to automate tasks, enrich applications with the latest news, or even analyze trends. Workflows on Pipedream triggered by NYT's API can range from sending daily news briefings to your communication platform, to analyzing article metadata for SEO research, or even keeping track of the most popular stories for content curation.

Connect New York Times#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    new_york_times: {
      type: "app",
      app: "new_york_times",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.nytimes.com/svc/topstories/v2/arts.json`,
      params: {
        "api-key": `${this.new_york_times.$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#

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}}

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