Omair Saleh
056c47581f
Ships the second dashboard surface — a Pattern Library + Preview Theatre — that presents the 4-section PDP pilot batch back to Umar, compliance, and the board in an editorial format. Adds the full data layer that drives it: 5 source-backed per-SKU drafts at QA 100/100, 15 competitor PDP semantic extracts, PubMed evidence packs, EFSA claims library extension, JV brand voice guide, hand-curated product FAQs, and the Matrixify-ready CSV exports for Lewis. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
31 lines
1.5 KiB
Markdown
31 lines
1.5 KiB
Markdown
# Apify selective gap-fill packet
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Generated: 2026-05-20T16:41:07.121Z
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Top-3 scraping budget raised for hundreds of items. Run capped first-batch targets, inspect the dataset, then decide whether to scale toward 1000 items per product/source.
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## Spend guardrails
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- DataForSEO Stage 1 first; Apify Stage 2 only for named gaps.
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- One actor lane, first 3 brands, max 100 requests per brand, max depth 1, then stop for dataset inspection.
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- Do not run all 7 competitor domains in one go.
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- Save raw datasets under `data/sources/apify/raw/` and inspect before any normalization/scaling.
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## First batch only if needed
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- Feel: https://wearefeel.com/ (100 requests max, depth 1)
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- Ancient & Brave: https://ancientandbrave.earth/ (100 requests max, depth 1)
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- Heights: https://www.heights.com/ (100 requests max, depth 1)
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## Hold until first-batch review
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- Wild Nutrition: https://www.wildnutrition.com/
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- Dirtea: https://www.dirteaworld.com/
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- Ethical Nutrition: https://ethical-nutrition.com/
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- Puro Labs: https://purolabs.com/
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## Files
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- `content_population_exports/apify_gapfill_targets.csv` - all Stage 2 targets with run/hold status.
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- `content_population_exports/apify_competitor_pdp_input_template.json` - no-spend actor input template for the first batch only.
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- `data/sources/apify/raw/_apify-output-template.json` - expected local raw output shape after a run.
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## Stop / scale rule
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Scale only if the first dataset contains useful PDP/review/claim evidence with source URLs and the cost is acceptable. Otherwise keep Apify off and stay with DataForSEO/manual source drops.
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