You can access the News to Markdown — RAG-Ready News Chunks API programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "urls": ["https://www.apify.com/change-log"],
10    "rssFeeds": [],
11    "maxPerFeed": 10,
12    "chunkWords": 800,
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("nexgendata/news-announcements-rag-markdown").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
20for item in client.dataset(run["defaultDatasetId"]).iterate_items():
21    print(item)
22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

News & Announcements to Markdown for RAG — LLM Datasets API in Python

The Apify API client for Python is the official library that allows you to use News to Markdown — RAG-Ready News Chunks API API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

News to Markdown — RAG-Ready News Chunks API API in JavaScript

News to Markdown — RAG-Ready News Chunks API API through CLI

News to Markdown — RAG-Ready News Chunks API OpenAPI definition

News to Markdown — RAG-Ready News Chunks API API

Website to Markdown for LLMs

agentictools/website-to-markdown-llm

Crawl a site and export clean Markdown with token counts and chunks, ready for RAG.

Ken Agland

RAG Web Extractor — Clean Markdown, HTML & Chunks

junipr/rag-web-extractor

Extract clean website content for RAG and AI search. Crawl pages, remove boilerplate, preserve structure, and export markdown, HTML, text, JSON, and chunks.