Newslit
Next Gen media monitoring for breaking news & interesting content to help you hone in on your industry, competitors & brands
Integrate the Newslit API with the Python API
Setup the Newslit API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Newslit and Python remarkably fast. Free for developers.
Popular Newslit and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Newslit#
The Newslit API offers access to a robust news database, allowing you to pull in news articles, blog posts, and journalistic content from a variety of sources. Integrated with Pipedream, you can automate workflows to track brand mentions, monitor industry updates, or aggregate news for data analysis. The API's capabilities to filter by keyword, date, language, and more, combined with Pipedream's ability to connect to numerous other services, open up a wide range of potential automations.
Connect Newslit#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
newslit: {
type: "app",
app: "newslit",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://newslit-news-search.p.rapidapi.com/news`,
headers: {
"X-RapidAPI-Key": `${this.newslit.$auth.rapid_api_key}`,
"X-RapidAPI-Host": `newslit-news-search.p.rapidapi.com`,
},
params: {
"q": `{YOUR_NEWS_QUERY}`,
},
})
},
})
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}}