Skip to content

add Canadian Paediatric Society statement scraper - #9

Open
m-krastev wants to merge 1 commit into
MedARC-AI:mainfrom
m-krastev:scraper/cps
Open

add Canadian Paediatric Society statement scraper#9
m-krastev wants to merge 1 commit into
MedARC-AI:mainfrom
m-krastev:scraper/cps

Conversation

@m-krastev

Copy link
Copy Markdown

What this does

Adds a Canadian Paediatric Society (CPS) scraper to the datasets scraping pipeline. Same shape as the NICE scraper — discovery and extraction are separate and everything outputs a normalized ScrapedDocument.

The scraper extracts the full HTML position statement or practice point, including tables, references, citation links, and remote figures. Generated assets are not downloaded locally.

How discovery works

Discovery starts from the CPS statements-by-date index at /en/documents/statements-by-date.

CPS uses offset-based pagination in increments of 10 (/P10, /P20, etc.). Each page is parsed for links under .stmt-title, unrelated links are rejected, and English and language-neutral routes are normalized to canonical HTTPS URLs.

The live indexing run discovered and scraped 196 current statements. A 10-second delay is applied between document requests.

How extraction works

Each position statement page is fetched and the primary .statement-wrapper content is converted to markdown. There are fallbacks for article and main-content layouts.

The extraction preserves:

  • headings, nested lists, and tables
  • complete reference lists and internal citation links
  • clinically meaningful superscripts such as 10<sup>9</sup>/L
  • remote clinical images and flowcharts
  • links to downloadable statement PDFs
  • posted, reaffirmed, and updated dates

Navigation, sharing controls, quizzes, related-content blocks, empty links, and decorative PDF icons are removed.

CPS uses a source-specific markdown converter because its legacy and current citation markup needs additional handling. Empty or missing content raises CpsFetchError.

CLI

  uv run amfv-scrape --source cps --documents 1
  uv run amfv-scrape --source cps --url
  https://cps.ca/en/documents/position/management-infant-sepsis
  uv run amfv-scrape --source cps --documents 3 -f markdown -o ./cps-out/

--source all now includes CPS alongside NICE.

Licensing

CPS statements are not published under an identified open redistribution license. CPS retains copyright and requires permission for corpus scraping or redistribution.

This PR contains scraper code and synthetic test fixtures only. It does not include scraped CPS documents.

QA

  • Meditron found 112 unique links but saved only 26 documents; the modern scraper captured 196 current statements.
  • The modern output removes navigation and sharing chrome while normalizing citations, links, and remote figures.

Test plan

  • uv run pytest datasets/test/test_scraping_cps.py — pagination, URL normalization,
    structured extraction, and error paths
  • uv run pytest — no regressions (33 passed)
  • uv run ruff check .
  • Reviewer runs markdown output: uv run amfv-scrape --source cps --documents 3 -f markdown -o /tmp/cps-out/

@CLAassistant

Copy link
Copy Markdown

CLA assistant check
Thank you for your submission! We really appreciate it. Like many open source projects, we ask that you sign our Contributor License Agreement before we can accept your contribution.
You have signed the CLA already but the status is still pending? Let us recheck it.

@zndr27 zndr27 mentioned this pull request Jul 26, 2026
zndr27 added a commit to zndr27/amfv that referenced this pull request Jul 26, 2026
Scrapes the intersection of PubMed's Practice Guideline publication type with
the PMC Open Access subset, 2,829 guidelines. That is the only slice where the
full text is both retrievable and openly licensed; the other 34k Practice
Guideline records expose an abstract only, under publisher copyright.

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 2,829 records:

  CC BY          42.8%    publisher terms, no CC license   13.3%
  CC BY-NC       20.5%    of which: Elsevier COVID grant     207
  CC BY-NC-ND    20.2%             PMC OA "unrestricted"      51
  CC BY-NC-SA     1.9%             no <license> element      101
  CC0             1.3%

So 44.1% is CC BY or CC0 and carries no restriction on derivatives, 22.4% is
non-commercial only, 20.2% asserts NoDerivatives, and 13.3% needs reading
case by case. Presence in the subset is not itself a grant to redistribute:
101 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 16 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 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. The filename, label
and caption are kept so a later pass can resolve them without re-scraping,
and the caption stays in the text.

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.

Records PMC holds without a deposited body, 1.1% of the corpus, are logged
and skipped rather than aborting the run.
zndr27 added a commit to zndr27/amfv that referenced this pull request Jul 29, 2026
Scrapes the intersection of PubMed's Guideline publication type with the PMC
Open Access subset, 3,184 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.

`Guideline[pt]` rather than `Practice Guideline[pt]`: the former is a strict
superset, and the 352 records it adds are clinical rather than administrative
(the 2025 Korean CPR guidelines and similar), so the narrower tag would drop
11% of the corpus for nothing.

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 3,184 records:

  CC BY          43.9%    publisher terms, no CC license   12.6%
  CC BY-NC       21.1%    of which: Elsevier COVID grant     211
  CC BY-NC-ND    19.2%             no <license> element      112
  CC BY-NC-SA     2.1%             PMC OA "unrestricted"      58
  CC0             1.2%             other publisher terms      19

By what that permits: 45.1% unrestricted for derivative works, 23.2%
non-commercial only, 19.2% asserting NoDerivatives, 12.6% 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, 1.0% of the corpus, are logged
and skipped rather than aborting the run.
zndr27 added a commit to zndr27/amfv that referenced this pull request Jul 29, 2026
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.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

2 participants