feat: editorial review dashboard + elite-grade pilot batch (5 SKUs)
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>
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#!/usr/bin/env bun
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import { mkdirSync, writeFileSync } from 'fs'
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import { dirname, join } from 'path'
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const root = process.cwd()
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const rawRoot = join(root, 'data', 'sources', 'apify', 'raw')
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const token = Bun.env.APIFY_TOKEN || Bun.env.APIFY_API_TOKEN
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const generatedAt = new Date().toISOString()
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if (!token) throw new Error('Missing APIFY_TOKEN or APIFY_API_TOKEN')
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const maxTotalChargeUsd = Number(Bun.env.APIFY_HEALTHSPAN_SERP_MAX_USD || 0.05)
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function writeJson(path: string, data: any) {
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mkdirSync(dirname(path), { recursive: true })
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writeFileSync(path, JSON.stringify(data, null, 2) + '\n', 'utf8')
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}
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async function apify(path: string, options: RequestInit = {}) {
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const sep = path.includes('?') ? '&' : '?'
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const res = await fetch(`https://api.apify.com${path}${sep}token=${encodeURIComponent(token!)}`, {
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...options,
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headers: { 'Content-Type': 'application/json', ...(options.headers || {}) }
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})
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const text = await res.text()
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let data: any
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try { data = text ? JSON.parse(text) : null } catch { data = text }
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if (!res.ok) throw new Error(`Apify ${res.status} ${res.statusText}: ${typeof data === 'string' ? data : JSON.stringify(data)}`)
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return data
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}
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async function waitForRun(runId: string, timeoutMs = 1000 * 60 * 6) {
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const started = Date.now()
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let run = (await apify(`/v2/actor-runs/${runId}`)).data
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while (!['SUCCEEDED', 'FAILED', 'ABORTED', 'TIMED-OUT'].includes(run.status)) {
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if (Date.now() - started > timeoutMs) throw new Error(`Timed out waiting for ${runId}`)
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await new Promise(resolve => setTimeout(resolve, 5000))
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run = (await apify(`/v2/actor-runs/${runId}`)).data
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console.log(`${runId}: ${run.status} usd=${run.usageTotalUsd || 0}`)
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}
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return run
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}
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const input = {
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queries: [
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'site:healthspan.co.uk/optivision Healthspan OptiVision lutein zeaxanthin omega 3',
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'site:healthspan.co.uk OptiVision eye health supplement Healthspan'
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].join('\n'),
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resultsPerPage: 10,
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maxPagesPerQuery: 1,
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countryCode: 'gb',
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searchLanguage: 'en',
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languageCode: 'en',
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mobileResults: false,
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includeUnfilteredResults: false,
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saveHtml: false,
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saveHtmlToKeyValueStore: false,
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includeIcons: false,
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aiMode: 'aiModeOff',
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perplexitySearch: { enablePerplexity: false, returnImages: false, returnRelatedQuestions: false },
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chatGptSearch: { enableChatGpt: false },
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proxyConfiguration: { useApifyProxy: true, apifyProxyGroups: ['GOOGLE_SERP'] }
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}
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console.log(`Starting apify/google-search-scraper for Healthspan OptiVision SERP fallback, maxPagesPerQuery=1, cap=$${maxTotalChargeUsd}`)
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const start = await apify(`/v2/acts/apify~google-search-scraper/runs?maxTotalChargeUsd=${maxTotalChargeUsd}`, {
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method: 'POST',
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body: JSON.stringify(input)
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})
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const run = await waitForRun(start.data.id)
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const rawItems = run.defaultDatasetId ? await apify(`/v2/datasets/${run.defaultDatasetId}/items?clean=true`) : []
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const items = Array.isArray(rawItems) ? rawItems.map((item: any) => ({
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...item,
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sku: 'JV-VISISOFT',
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sourceType: 'competitor_serp_fallback',
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label: 'Healthspan OptiVision Google SERP fallback',
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competitor: 'Healthspan',
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matchContext: 'competitor_serp_fallback',
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note: 'Fallback raw source because direct Healthspan PDP browser/content crawls returned 0 items.'
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})) : rawItems
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const result = {
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capturedAt: generatedAt,
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job: 'healthspan-serp',
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actor: 'apify/google-search-scraper',
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maxTotalChargeUsd,
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input,
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run: {
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id: run.id,
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status: run.status,
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statusMessage: run.statusMessage,
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defaultDatasetId: run.defaultDatasetId,
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startedAt: run.startedAt,
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finishedAt: run.finishedAt,
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usageTotalUsd: run.usageTotalUsd,
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usage: run.usage,
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stats: run.stats
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},
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itemCount: Array.isArray(items) ? items.length : 0,
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items
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}
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const stamp = generatedAt.replace(/[:.]/g, '-')
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writeJson(join(rawRoot, `top3-specialist-healthspan-serp-${stamp}.json`), result)
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writeJson(join(rawRoot, 'top3-specialist-healthspan-serp-latest.json'), result)
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console.log(`Healthspan SERP fallback ${run.status}: ${result.itemCount} items, usd=${run.usageTotalUsd || 0}`)
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