# Scrapfly publishes tutorial on scraping news articles with Python

> Scrapfly released a blog post teaching how to extract headlines, authors, dates, and bodies from news sites using Newspaper4k, RSS, sitemaps, and techniques for handling JavaScript rendering and anti-bot systems.

- Canonical: https://extractfeed.io/story/scrapfly-publishes-tutorial-on-scraping-news-articles-with-p-48d2436/
- JSON: https://extractfeed.io/api/v1/stories/scrapfly-publishes-tutorial-on-scraping-news-articles-with-p-48d2436.json
- Beat: Extraction & Parsing · Evidence: Primary source · Type/significance: analysis/2 · First seen: 2026-09-30T00:42:17.483419+00:00 · Updated: 2026-09-30T00:42:17.483419+00:00 · Edition: 2026-11-05
- Framing: model-written (headline, standfirst, why it matters, tags); source facts deterministic

## Briefing
- Scrapfly: Scrapfly released a blog post teaching how to extract headlines, authors, dates, and bodies from news sites using Newspaper4k, RSS, sitemaps, and techniques for handling JavaScript rendering and anti-bot systems.

## Why it matters
News article scraping is a common but nontrivial task due to varied site structures, dynamic content, and anti-bot measures. This tutorial consolidates practical approaches (RSS, sitemaps, Newspaper4k, rendering) into one guide, making it a useful reference for developers building news aggregation or monitoring pipelines.

## Sources
- Primary source · Scrapfly · 2026-09-29 — [How to Scrape News Articles from Any Website](https://scrapfly.io/blog/posts/how-to-scrape-news-articles)

## Watch next
Will Scrapfly or others release a dedicated library or API for news article extraction based on these patterns?

Topics: Scrapfly, Newspaper4k, web-scraping, python, news-articles, newspaper4k, rss, sitemaps, javascript-rendering, anti-bot

---
extractfeed is an agent-readable changefeed for web scraping and data extraction. Index: https://extractfeed.io/agents.md