Marma News
An Arabic football news platform that runs itself with AI, minute by minute
Sports sites need fast publishing and content that refreshes all day. That usually means a large editorial team watching sources, writing stories, updating scores and posting manually to every channel.
We built Marma News as an automated newsroom. It pulls news on a schedule from well-known Arabic RSS sources, extracts full text and images, and filters out non-sports topics. It then categorizes articles and rewrites them with AI (OpenAI or Anthropic) within a daily publishing quota. It also syncs leagues, teams and fixtures from API-Football to show line-ups, events and stats, watermarks images, and auto-publishes to social channels.
The result is a site that stays live around the clock with minimal editorial effort. It is search-ready, with news sitemaps and an RSS feed, and its admin panel provides accurate visitor analytics that exclude bots and add geolocation.
Key features
Automated news ingestion from RSS sources, with off-topic filtering and a daily publishing quota
AI rewriting of articles (OpenAI / Anthropic) with automatic categorization
Full-text and image extraction, cached locally and watermarked
Match center with results, line-ups, events and stats via API-Football
Auto-publishing of news and live match events to Facebook, Instagram, Telegram and WhatsApp
SEO-ready: news sitemap, RSS feed and Open Graph tags
Visitor analytics with bot detection and GeoIP
Reader reactions on stories and a spam-protected contact form
Admin panel for articles, sources and AI keys, with social-channel connection tests
What’s inside
Who is it for?
Arabic-speaking football fans, and digital publishers looking for an automated newsroom
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