CNN Articles Scraper

CNN Articles Scraper

Scrape CNN articles from any section, up to a million per run. Each article comes with its headline, full body text, publication date, and author. No API key required. Export to CSV, JSON, Excel, or XML.

CNN's website is a primary source for breaking news, but manually collecting articles from its many sections is slow and repetitive. This Actor reads any CNN section URL you provide, from World and Politics to Business and Tech, and extracts the latest articles in a structured format. It handles the pagination and content extraction so you get clean, ready-to-use data.

Who uses it	What they scrape CNN for
Journalists and news analysts	Monitor breaking news and editorial angles across different CNN sections.
Market researchers	Track how major business and tech stories are being reported by a leading outlet.
PR and communications professionals	Collect media coverage on specific topics or companies for reporting.
Data scientists and academics	Build datasets of news articles for natural language processing or media bias research.

What it does

This Actor collects CNN articles from a specified section URL and returns each one as a flat row with its headline, body text, publication date, and author.

• 📰 Section-based scraping: Provide any CNN section URL, like /world, /politics, or /business, to target a specific news vertical.
• 🔢 Configurable volume: Set a maximum number of articles to collect, from a single story up to one million per run.
• 📄 Full article extraction: Gets the complete body text, not snippets or summaries, from each article page.
• 📅 Structured metadata: Returns the headline, publication date, and author alongside the body text in a consistent schema.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with CNN data

📈 Monitor breaking news coverage.

A news analyst runs the Actor on the CNN World section every hour to track which stories are being prioritized and how their framing evolves.

📊 Build a media analysis dataset.

A data scientist collects thousands of articles from the CNN Business and Tech sections to train a model on financial news sentiment.

📋 Track competitor or client mentions.

A PR manager scrapes the CNN search results for a company name to compile a weekly media mention report.

🔍 Research editorial trends.

An academic researcher gathers articles from the CNN Politics section over several months to study changes in political discourse.

Why choose this scraper

	What you get
No API key needed	Access public CNN article feeds directly without registering for a developer account.
Handles pagination	Automatically scrolls through section pages to collect the number of articles you request.
Clean, flat output	Every article is returned as a single row, ready for analysis in a spreadsheet or database.
Flexible targeting	Switch between World, Politics, Business, Tech, or any other CNN section by changing one URL.

How it compares

No other Store actor targets CNN the same way, so the honest comparison is with the alternatives teams actually weigh.

	CNN Articles Scraper	Build it in-house	By hand
Setup	Run it now, zero config	Days of engineering	None, but hours per pull
When CNN changes	Maintained for you	You fix it	You re-learn the page
Proxies, retries, anti-bot	Built in	Your problem	Browser only
Output	Fixed JSON schema, CSV/Excel export	Whatever you build	Copy-paste
Cost	Pay per result	Engineering time	Analyst hours

Configure the run

Drive the Actor with any CNN section URL and set a maximum number of articles to collect per run. The Input tab lists every parameter.

A first run with the defaults:

{
 "sectionUrl": "https://www.cnn.com/world",
 "maxItems": 10
}

A larger pull:

{
 "sectionUrl": "https://www.cnn.com/world",
 "maxItems": 200
}

Pricing

Pay-per-result: $0.021 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$2.10
1,000 results	$21.00
10,000 results	$210.00

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the CNN Articles Scraper.
3. Set your inputs and any filters, then click Start.
4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to CNN through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/cnn-articles-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results?

Check that the section URL you entered is correct and that the section currently has articles listed. Some sections may have fewer articles than your requested maximum.

The Actor is running but collecting articles very slowly.

The Actor visits each article page to get the full text, which takes time. Reducing the maximum number of articles will speed up the run.

Some articles are missing the author or date.

CNN's article formatting can vary. If an author or date is not present in the page's markup, the field will be empty in your output.

The Actor stopped before reaching the maximum articles I set.

The section page may not have enough articles to reach your requested maximum. Try a broader section URL or a search query that returns more results.

I'm getting an error about the URL format.

Ensure the URL starts with 'https://www.cnn.com/' and points to a valid section, like '/world' or '/business'. A trailing slash is optional.

FAQ

Question	Answer
Can I scrape articles from multiple CNN sections at once?	This Actor is designed to scrape one section URL per run. To collect from multiple sections, run the Actor multiple times with different section URLs, or use a separate orchestrator.
Does this scraper get the full text of each article?	Yes, it navigates to each article's page and extracts the complete body text, not the preview shown on the section listing.
What format is the data exported in?	The dataset can be exported in CSV, JSON, Excel, or XML formats directly from your Apify run.
Is an API key or login required to use this?	No. This Actor reads the publicly available CNN website, so no API key, authentication, or CNN account is needed.
Can I scrape older, archived CNN articles?	The Actor scrapes whatever articles are currently listed on the section page you provide. For very old articles, you would need a direct URL to a specific story or a search results page.
How do I scrape a specific topic, like 'climate change'?	Use a CNN search URL as the input, such as 'https://www.cnn.com/search?q=climate+change'. The Actor will collect articles from the search results.
What is the maximum number of articles I can scrape?	You can set the maximum up to 1,000,000 articles per run. The actual number collected will depend on how many articles are available in the section you are scraping.
Does this Actor handle CNN's cookie consent or paywall?	The Actor works with CNN's publicly accessible article content. It does not bypass paywalls or subscription-only content.
Can I run this on a schedule?	Yes, you can set up a recurring schedule for this Actor on the Apify platform to collect the latest articles automatically at your chosen interval.

Related actors

Browse the full ParseForge collection for more scrapers.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Cable News Network, Inc. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.