Media monitoring involves automatically tracking and extracting content from news sites, blogs, newsletters, and digital publications. Content teams, PR professionals, and researchers use media monitoring to stay informed about industry developments, track brand coverage, and discover content opportunities.
With thousands of articles published every day, manual monitoring is not practical. Automated tools scrape headlines, article text, author information, and publication dates from your target sources and deliver them in a structured format for easy analysis.
Browse AI has prebuilt robots for Google News, Medium, Substack, Ghost blogs, WordPress sites, and other publishing platforms. Each robot extracts article titles, authors, dates, summaries, and full text in a structured format. Schedule robots to run daily and build a continuously updated content database for your team.
Browse AI has prebuilt robots for Google News (by keyword, topic, and top stories), Medium, Substack, Ghost, WordPress.org, and ESPN. You can also create custom robots for any publication or news website.
Select a Google News robot from the collection above. Enter your target keywords or topic, and the robot will extract headlines, sources, publication dates, and article links from the results page.
Yes. Set up separate robots for each publication you want to monitor, or use the Google News robot with keyword filters to capture coverage across many sources at once.
Scraping article metadata like headlines, dates, and summaries from publicly available pages is generally permissible. Reproducing full article text may raise copyright concerns. Always use scraped content responsibly and review applicable terms of service.
Schedule your media monitoring robots to run daily or weekly. Over time, you will build a dataset of articles that you can analyze for trending topics, publication frequency, and content patterns.
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