News & Content Monitoring

Track news articles, press releases, and industry publications to stay informed on topics that matter to your business.

Key Benefits

Monitor industry news in real-time
Track brand and competitor mentions
Aggregate content from multiple sources
Get structured data from any publication

Features

Multi-Source Aggregation

Pull articles from multiple news sites and publications into a single structured dataset

Structured Article Extraction

Extract headline, author, date, summary, and full content in clean, consistent format

News & Content Monitoring

Stay ahead of industry developments with automated news monitoring. Scrapezy extracts articles, press releases, and publications from any source — giving you a structured, searchable feed without RSS limitations or manual reading.

How It Works

Set up scrapers for any combination of news sources, industry blogs, or publication sites. Scrapezy's AI extracts articles into a consistent schema regardless of how different each site's layout is:

Define the sources you want to monitor
Configure what data to extract (headline, author, date, summary, tags)
Schedule regular runs — hourly, daily, or weekly
Export to Google Sheets, a database, or any downstream tool
Set up alerts for articles matching specific topics or keywords

Implementation Example

Here's how you can use Scrapezy to monitor a news publication:

POST https://scrapezy.com/api/extract
Content-Type: application/json
x-api-key: your-api-key
 
{
    "url": "https://techcrunch.com/category/artificial-intelligence",
    "prompt": "Extract all articles on this page with their title, author, publication date, category, and a brief summary of each article. Include the URL for each article."
}

The API returns structured data you can use to:

Build a live news dashboard across multiple sources
Track competitor press releases and announcements
Monitor for mentions of your brand or products
Aggregate industry research into a single searchable dataset
Brief your team on relevant industry developments automatically

Implementation Example

This prompt extracts comprehensive article metadata from any news or blog listing page, enabling you to aggregate content across multiple publications into a single structured dataset.

POST https://api.scrapezy.com/api/extract
Content-Type: application/json
x-api-key: your-api-key

{
    "url": "https://example-store.com/product/123",
    "prompt": "Extract all articles on this page with their title, author, publication date, category, and a brief summary of each article. Include the URL for each article."
}