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add PubMed guideline scraper - #15

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add PubMed guideline scraper#15
zndr27 wants to merge 2 commits into
MedARC-AI:mainfrom
zndr27:scraper/pubmed

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@zndr27 zndr27 commented Jul 29, 2026

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What this does

Adds a PubMed scraper to the datasets scraping pipeline. Same shape as the NICE scraper: discovery and extraction are separate, and everything outputs a normalized ScrapedDocument.

Scope is the PMC Open Access Subset, the only slice where the full text is both retrievable and openly licensed:

Guideline[pt] AND pubmed pmc open access[filter] AND English[la] NOT "Retracted Publication"[pt]

3,030 records as of 2026-08-19. Retracted articles keep their Guideline type and stay in the subset, so nothing else excludes them; they are dropped at search time because a retracted guideline is precisely the document a fact verifier must not retrieve as evidence.

How discovery works

esearch pages by numeric offset, 200 per page, and returns the total for the progress bar. esummary resolves each batch to PMCIDs and citation metadata in one call. Offset paging maps straight onto list_page(client, page), and an empty page past the end terminates the run.

How extraction works

efetch returns JATS XML per document. Tags are rewritten to HTML and passed through the shared html_to_markdown helper rather than writing a second serializer. Headings come from <sec> nesting depth; reference lists and <xref> pointers are dropped as citation apparatus.

Figures and supplementary files are recorded in metadata rather than linked: JATS carries a bare filename and the served URL adds a CDN shard and content hash absent from the API response, so a constructed link 404s. Captions stay in the text.

Delay is 0.4s, inside NCBI's documented 3 requests/second. Calls retry with backoff on 429, which a real run does draw. Records PMC holds without a body are logged and skipped.

Licensing

The Open Access Subset is not uniformly Creative Commons licensed, so this records rather than decides: each document carries license, license_url, license_type, license_statement and copyright_statement. The full census is in the module docstring. A corpus-wide filter probably wants a project-wide answer.

CLI

uv run amfv-scrape --source pubmed --documents 1
uv run amfv-scrape --source pubmed --url https://pubmed.ncbi.nlm.nih.gov/42476581/

--source all includes PubMed. --url takes a PubMed or PMC URL; external_id always prefers the record's own PMID so both routes give the same ID.

Tests

uv run ruff check datasets
uv run ruff format --check datasets
uv run pytest datasets/test

58 tests, offline via httpx.MockTransport. Rebased onto #21, so registration is one import and one entry in SCRAPERS. Live run of two guidelines gave documents of 86,354 and 25,574 characters.

@zndr27
zndr27 marked this pull request as ready for review July 30, 2026 00:24
zndr27 added 2 commits August 19, 2026 12:03
Scrapes the intersection of PubMed's Guideline publication type with the PMC
Open Access subset, restricted to English: about 3,000 guidelines. That is the
only slice where the full text is both retrievable and openly licensed; the
other 40k Guideline records expose an abstract only, under publisher copyright.

Two scoping choices, both measured rather than assumed:

`Guideline[pt]` rather than `Practice Guideline[pt]`. The former is a strict
superset and the 352 records it adds are clinical, not administrative (the 2025
Korean CPR guidelines and similar), so the narrower tag would drop 11% of the
corpus for nothing.

`English[la]`, which drops 185 records. Every other source in this package is
already English-only as a side effect of its entry URL: CPS is a bilingual site
scraped through its /en/ routes, WHO publishes in six languages and is scraped
through its English listing. PubMed's API returns every language, so the filter
has to be explicit to match. The excluded records are largely French CMAJ
translations of guidelines already in the corpus.

Discovery and extraction use NCBI's E-utilities rather than the rendered pages.
esearch paginates by numeric offset, so the page number maps straight onto
retstart and an empty page past the end terminates the run. esummary resolves a
whole batch of PMIDs to PMCIDs and citation metadata in one request. efetch
returns JATS XML carrying body, section structure and license.

JATS is close enough to HTML that renaming tags and reusing html_to_markdown is
cheaper and less error-prone than a second serializer: table-wrap already
contains genuine XHTML tables, and inline markup maps one to one.

Licensing is recorded per document rather than claimed for the source, because
the Open Access Subset is not uniformly Creative Commons licensed. Censused
over all 2,999 English records present on 2026-07-29:

  CC BY          44.5%    publisher terms, no CC license   11.7%
  CC BY-NC       22.1%    of which: Elsevier COVID grant, no
  CC BY-NC-ND    18.4%              <license> element at all (112),
  CC BY-NC-SA     2.1%              PMC OA "unrestricted re-use"
  CC0             1.3%

By what that permits: 45.8% unrestricted for derivative works, 24.1%
non-commercial only, 18.4% asserting NoDerivatives, 11.7% needing a
case-by-case reading. Presence in the subset is not itself a grant to
redistribute: 112 records carry only a copyright line such as "(c)
Springer-Verlag Tokyo 2007", and Elsevier's pandemic-era deposits grant free
access while still reserving all rights.

The license name is parsed from the Creative Commons URL rather than the
license-type attribute, which the corpus spells 18 different ways. The
copyright statement is captured separately because it is a sibling of
<license>, not a child, and it holds the reservation of rights.

Figures and supplementary files are recorded in metadata rather than linked.
Unlike the HTML sources in MedARC-AI#9 and MedARC-AI#10, which absolutize a real <img src>, JATS
carries only a bare filename; the served URL inserts a CDN shard and content
hash that appear nowhere in the API response, so a constructed link 404s.
Supplementary blocks are pointers too: across 40 sampled guidelines every one
referenced an external .docx or .tif rather than inline content, totalling
0.18% of body text. Recording name, label and caption keeps the evidence
tables findable without re-scraping.

E-utilities calls retry with backoff on 429 and 5xx. One document makes up to
two calls back to back and the rate limit is per source address, so NCBI does
answer with 429 in practice; without a retry that propagates past the skip
handler and kills the whole run.

external_id prefers the PMID from the record itself, so an article reached
from a PMC URL gets the same identifier as one reached from the listing.

Records PMC holds without a deposited body, 0.6% of the corpus, are logged
and skipped rather than aborting the run.
Retracted articles keep their `Guideline` publication type and stay in
the PMC Open Access subset, so neither the type filter nor the
open-access filter excludes them. PMID 37026270, a retracted 2023
rosacea practice pattern, is in the result set today.

This is the one place the scraper decides rather than records: licence
terms are a policy question with legitimate answers either way, but a
retracted guideline is precisely the document a fact verifier must not
retrieve as evidence.

Prior art: MedPMC (arXiv:2607.07673) filters retraction status the same
way when curating PMC at scale.
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