services/ssr.py walks JSON-LD and Next.js __NEXT_DATA__ for article-like
objects (headline, or title+url, or name with article signals), recovering
JS-rendered sites without a browser. prepare_headlines favors embedded JSON
over regex link scraping. Forbes is re-added as a live proof.

- services/feeds.py parses RSS 2.0/1.0 and Atom into (title, date) entries
- prepare_headlines auto-detects feeds by content and parses them directly
- strip feeds./rss./moxie. subdomains so feeds collapse to the outlet domain
- add 7 verified RSS feeds (BBC, Guardian, Al Jazeera, WaPo, The Hill, Vox, CNBC)
- get_sources skips blank lines and # comments
- broaden excluded-phrase list (skip links, share/follow, newsletter, utility)

Add resources/excluded_phrases.txt (skip links, privacy/consent, legal
boilerplate) and match it case- and punctuation-insensitively as a
contiguous run of words. Phrases live in a data file so they can be
extended without touching code.

News sites often reject minimal-bot requests; send a full browser header
set (User-Agent, Accept, Sec-Fetch-*, client hints). Accept-Encoding is
left to requests/urllib3 to avoid undecodable brotli responses.

- Track source domain and publication time on each headline
- Cluster near-duplicate headlines into stories (union-find)
- Output stories covered by >=N distinct sources (--min-sources)
- Add --since/--until date window
- Ignore __pycache__ build artifacts