justin
9ce920f622
agripro (24 varieties)
- Drupal Views form scrape via /search-agripro-brand-varieties with
explicit GET params (sidesteps the AJAX-only-on-load default that
returns an empty form skeleton).
- Per-variety parse: <h1>, .field--node--variety-type--variety,
.field--node--tag-line--variety, .field--node--body, plus the
three rated sections (Agronomics / Grain / Disease) with their
<div class="row"><div class="label">label</div><div>value</div>
pairs.
- Wheat-class distribution: 12 HRS, 7 SWW, 3 HRW, 1 HWS, 1 Barley
— provides the Northern Plains HRS coverage WestBred lacks.
nk (122 varieties — recon's "29" was outdated; the current NK seed
finder lists 41 corn + 81 soy)
- ASP.NET WebForms endpoint:
POST /NKSeeds/{Corn,Soy}ProductFinder.aspx/GetProducts returns
{"d": "<html>"} where the inner HTML is one <div class="sf-result">
per variety. BeautifulSoup tokenizes the whole blob.
- Per-card: product code (NK8005, NK008-P8XF), RM/MG from the
title <span>, "Brands Available" trait variants, marketing
positioning + bullet strengths, tech-sheet PDF URL.
- pdfplumber text extraction on the tech-sheet PDFs adds:
* corn disease ratings (Gray Leaf Spot, NCLB, Goss's Wilt,
Anthracnose, Tar Spot, Fusarium, etc.) where the PDF prints
"Label N" lines (text-extractable)
* soybean Phytophthora source genes (Rps1c, Rps3a, ...)
* soybean SCN race coverage
* soybean agronomic ratings (Emergence, Standability, Shatter
Tolerance, Green Stem) with text-extractable 1-9 values
* soybean soil-type adaptation (Best/Good/Fair/Poor) for drought
prone / high pH / poorly drained / etc.
- Agronomic rating BARS for corn (Emergence, Stalk Strength,
Drought) are not text-extractable; we record the labels with an
explicit "rated in PDF chart, see tech sheet" value so the agent
can direct the farmer at the source for those numbers.
Scale-direction correction in lessons.md:
- NK and AgriPro both use 1 = best, lower = more resistant — the
REVERSED convention vs Bayer / Golden Harvest. NK's tech-sheet
footer literally prints "1-9 Scale: 1 = Best, 9 = Worst".
AgriPro positioning on stripe-rust-resistant varieties (AP Iliad
with Stripe Rust 1, Eyespot 2) confirms the same direction.
- sources-not-yet-indexed section trimmed to just Beck's PFR +
Beck's products — everything else IS now in the corpus.
Cross-vendor coverage after this PR: 760 varieties.
bayer_seeds 475 (DEKALB 288 / Asgrow 102 / WestBred 85)
golden_harvest 139
nk 122 (41 corn / 81 soy)
agripro 24 (12 HRS / 7 SWW / 3 HRW / 1 HWS / 1 Barley)
Vendors: Bayer, Syngenta. Brands: 6. Crops: corn, soy, wheat (109
wheat now, up from 85).
requirements.txt: pdfplumber>=0.11 for NK tech-sheet parsing.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
scrape/
Per-vendor seed catalog scrapers + the runner that dispatches to
them. Each source lives in scrape/sources/<name>.py with a main()
entrypoint. The runner is a thin shim:
python -m scrape.runner --source bayer_seeds --force
python -m scrape.runner --source golden_harvest --limit 20
python -m scrape.runner --all # only GREEN sources
Output layout
Each scraper writes:
corpus/<source>/<source_key>.md— LLM-visible body (chunk_0 preamble + the variety's marketing + agronomic narrative)corpus/<source>/<source_key>.json— sidecar metadata (per CLAUDE.md's canonical schema)
source_key is a stable per-vendor slug — typically <brand>-<sku>
lowercased, e.g. dekalb-dkc62-08rib. Stability matters: it's the
join key the MCP uses for get_page(source, source_key).
Sources
| Source | Module | Verdict | Notes |
|---|---|---|---|
bayer_seeds |
bayer_seeds.py |
🟢 | DEKALB + Asgrow + WestBred, ~475 varieties |
golden_harvest |
golden_harvest.py |
🟢 | ~175 varieties, 9-to-1 disease scale (reverse) |
nk |
nk.py |
🟢 | 29 varieties, ratings in CDN PDFs |
agripro |
agripro.py |
🟢 | 24 wheat varieties |
becks_pfr |
becks_pfr.py |
🟡 | 2,089 research docs via public Sanity GROQ |
becks_products |
becks_products.py |
🟡 | 860 products, identity-only (SeedIQ-gated) |
Pioneer is intentionally absent — see CLAUDE.md and the curated
Pioneer fallback in docs_mcp/lessons.md.
Tips
- Sniff before you scrape. Most catalogs are SPAs that call a
backend API. The recon docs in
~/.claude/projects/-home-justin/ memory/reference_seed_vendor_recon.mdalready capture the endpoints; if you find new ones, update that file. - Idempotent re-scrapes. Without
--force, skip pages already on disk. With--force, re-fetch everything — that's the monthly cron mode. - Respect the portals. Backoff on 429s. Set a recognizable
user-agent (
seed-mcp-scraper/<version>). - Normalize at chunk time, not at scrape time. The chunker
(Phase 2) handles the 9-to-1 → 1-9 disease-scale flip for Golden
Harvest, NOT this scraper. Sidecar JSON should preserve the
vendor's raw values + a
_scale_directionfield; the chunker reads that and normalizes the markdown body.
changelog.py
Reusable as-is from the template. Walks git diff --name-status
output for the commit summary, and git log for the digest history
(Phase 13).