justin
2a4c0d4aba
Replace stub with working scraper for all three Bayer seed brands.
Discovery uses the public sitemap-dynamic.xml (475 varieties:
288 DEKALB corn + 102 Asgrow soy + 85 WestBred wheat — matches recon).
Per-variety detail comes from the page's __NEXT_DATA__ JSON island.
Each variety writes corpus/bayer_seeds/<source_key>.{md,json} with:
- Identity (brand, crop, hybridLabel, productId, releaseYear)
- Maturity routed per crop (RM for corn, MG for soy, qualitative for wheat)
- Trait stack (code + full name)
- Positioning + strengths narrative
- Characteristics groups (DISEASE RATINGS, GROWTH, MANAGEMENT, HARVEST,
etc.) preserved verbatim from source so the chunker can re-bucket
into canonical disease/agronomic flats per CLAUDE.md schema
- Regional seed-guide listings with agronomist contacts
- _scale_direction tag (Bayer = "1-9 (9 = best)") for chunker
Smoke-tested all three brands (--limit 2 each, plus --product, --force,
and scrape.runner dispatch). Politeness: 1 req/sec, retries on 429/5xx
with Retry-After honored.
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).