{"version":"1.0","type":"rich","title":"A simple news crawler.","description":"This example demonstrates a news crawler that fetches headlines from four Malaysian RSS feeds, extracts the full article text, and stores each story as a JSON file organized by publication date. The crawler uses `feedparser` to parse RSS feeds, `requests` to download article pages, and the `readability` library to isolate main content from HTML. `BeautifulSoup` cleans the extracted text, while `dateutil.parser` converts publication timestamps into structured day, month, and year fields. Each JSON file, saved in a local `collection` folder, contains the article’s cleaned content, original link, and parsed date components.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-e29875f0f34148ecf340d5039664ccd2?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}