Multi-artist label store scraping pattern for Shopify mega-stores

Many artists have 0 merch products because their merch is sold through label mega-stores (Warner Music, Rockabilia, MerchNow, Impericon) rather than individual Shopify stores. Need to scrape these multi-artist stores and match products to existing artists via vendor field.

Create a label_stores table to track per-store sync state (url, last_product_id, last_sync_at). Scrape via /products.json with pagination. Match the vendor field to artist names using normalized fuzzy matching (case-insensitive, strip 'the ', remove accents/punctuation). Use composite external_id (store_url:product_id) for deduplication. For incremental polling, use since_id per store (not per artist). Run bulk scrape script first, then scheduler polls every 12 hours. Key stores: store.warnermusic.com (~1,622 products), rockabilia.com (~24,750), merchnow.com (~2,153), impericon.com (~24,750). Files: models/label_store.py, scripts/scrape_label_stores.py, scheduler.py poll_label_stores job.

Label mega-stores use the Shopify vendor field to identify which artist each product belongs to. By normalizing both the vendor name and our artist.name (lowercase, strip The, remove accents/punctuation), we can match hundreds of artists automatically without manual configuration per artist.