# 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:

```bash
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.md` already 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_direction` field; 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).
