Add WellMarkedLoader document loader#1
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Official LangChain integration for the WellMarked API, wrapping the wellmarked Python SDK. WellMarkedLoader supports extract mode (one URL, one Document) and crawl mode (same-site BFS, one Document per successfully extracted page, blocking on the crawl job). Markdown maps to page_content; title/author/date/retrieved_at/depth map to metadata. Includes hatchling packaging mirroring the Python SDK conventions, unit tests with a faked SDK client, and README docs. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
CI runs pytest across Python 3.9-3.14 on pushes to main and PRs. Release publishes to PyPI via OIDC Trusted Publishing on a GitHub Release, mirroring the Python-SDK workflows. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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What
Adds
WellMarkedLoader, the official LangChain document loader for the WellMarked API. It wraps thewellmarkedPython SDK — no duplicated HTTP logic.Documentwith clean Markdown aspage_contentDocumentper successfully extracted page (failed pages skipped), blocking on the crawl job up tojob_timeoutsource,title,author,date,retrieved_at(ISO string), anddepthfor crawled pageslazy_load()is truly lazy;render_jspasses through to the APIPackaging
Hatchling build mirroring the Python SDK's pyproject conventions. Depends on
langchain-core>=0.3,<2.0andwellmarked>=1.1,<2.0.Testing
5 unit tests with a faked SDK client (no network): both modes,
render_jspassthrough, failed-page skipping, invalid mode, laziness. All pass, and the package installs cleanly via pip (exercising the hatchling build).🤖 Generated with Claude Code