Ai Research Scraper

**Quick judgment** A focused, practical scraper for AI/ML news and product-development updates from a curated list of reputable sources. It’s well-suited as a backend utility for agents or workflows that need up-to-date AI news in concise form, but its scope is limited to news-style content and a fixed set of sites unless you extend the configuration. **What it does well** - Pulls recent AI and AI-product articles from known sites (TechCrunch, VentureBeat, MIT Tech Review, Google/Microsoft/NVIDIA AI blogs, etc.). - Produces short summaries with direct links, keeping token usage under control. - Offers useful knobs: max tokens, date range, topic filter, and editable website list. - Incorporates caching, timeouts, and retries for more stable scraping; can fall back to tavily-search when primary sources fail. **Key risks / limitations** - Dependent on external websites and RSS/feeds; structural or policy changes can silently break parts of the scraper or reduce coverage. - Summaries may omit nuance or misrepresent complex research; should not be treated as authoritative scientific interpretation. - Coverage is curated and may miss important work outside the configured sources or topics. - Web-scraping always carries ToS/compliance considerations; users should ensure their usage respects each site’s policies. **Recommended scenarios** - Use as a scheduled or on-demand AI news collector feeding an LLM agent, dashboard, or internal newsletter. - Use when you need fast, lightweight awareness of AI product developments without manually visiting multiple sites. - Use as a starting layer for further filtering, tagging, or analysis of AI-industry trends, rather than as a definitive research tool.