Some platforms (e.g. older macOS, exotic Linux distros) cannot build the
curl-impersonate binary that backs curl_cffi, leaving yfinance unusable.
This change keeps curl_cffi as the preferred and default backend but no
longer hard-requires it at runtime.
- New `yfinance/_http.py` abstracts the HTTP backend. If `curl_cffi` is
importable it is used as before; otherwise yfinance falls back to plain
`requests` with a realistic Chrome User-Agent and logs a warning so the
downgrade is explicit.
- `data.py`, `base.py`, `multi.py`, `scrapers/history.py` build sessions
via `_http.new_session()`.
- Scrapers and screener catch `_http.HTTPError` instead of importing
`curl_cffi.requests.exceptions.HTTPError` directly.
- `is_supported_session()` accepts either backend; `cookie_jar()` papers
over the small API difference between curl_cffi (`cookies.jar`) and
requests (`cookies` is itself the jar).
- New Advanced > Installation page documents the curl_cffi-free install
recipe; README links to it just under the install instruction.
Empirically verified that plain `requests` with a Chrome UA does not hit
the 401-after-~10-requests issue that the earlier `curl_adapter` approach
ran into; 15/15 quoteSummary calls succeed without rate limiting.
`setup.py` is unchanged -- `curl_cffi>=0.15` remains the default install
requirement (CVE-pinned). The fallback only activates when the import
fails at runtime; moving curl_cffi to extras_require can be a follow-up
decision for the maintainer.
- Add a new class Screener, Query, and EquityQuery
- Refactor YfData.get() to enable YfData.post() to all of get's implementations
- Add test for the Screener
- Add new set and map to const
Screener can be used to filter yahoo finance. This can be used to get the top gainers of the day, and more customized queries that a user may want to automate.
Sector and Industry class to query the data available on: https://finance.yahoo.com/sectors/:
- sector / industry overview
- sector / industry top companies
- sector / industry research reports
- sector top ETFs
- sector top Mutual Funds
- industries within sector
- industry's sector
- industry's top performing companies
- industry's top growth companies
- adding to scraper a new class FundsData.
- Ticker can now reference the data via ticker.funds_data when appropriate.
- Add unit tests in test_ticker.py for the funds data
Alessandro Colace