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_RETAILER_MAX_USD || 0.04)
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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 pageFunction = String.raw`
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async function pageFunction(context) {
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const { request, $ } = context;
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const clean = (value) => String(value || '').replace(/\s+/g, ' ').trim();
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const text = clean($('body').text()).slice(0, 50000);
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const headings = $('h1,h2,h3').toArray().map(el => clean($(el).text())).filter(Boolean).slice(0, 80);
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const prices = $('[class*=price], [data-testid*=price], [aria-label*=price]').toArray().map(el => clean($(el).text())).filter(Boolean).slice(0, 50);
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const links = $('a[href]').toArray().map(el => ({ text: clean($(el).text()).slice(0, 160), href: $(el).attr('href') })).filter(row => row.text || row.href).slice(0, 80);
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return {
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capturedAt: new Date().toISOString(),
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sku: 'JV-VISISOFT',
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sourceType: 'competitor_retailer_pdp',
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label: 'Healthspan OptiVision retailer PDP fallback',
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competitor: 'Healthspan',
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retailer: 'Asda Pharmacy',
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requestedUrl: request.url,
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loadedUrl: request.loadedUrl || request.url,
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title: clean($('title').text()),
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h1: clean($('h1').first().text()),
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headings,
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prices,
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links,
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text,
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textChars: text.length,
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htmlChars: $.html().length,
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matchContext: 'competitor_retailer_pdp_fallback',
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note: 'Retailer PDP fallback for Healthspan OptiVision because the Healthspan direct PDP returned 0 items in Apify browser/content crawls.'
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};
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}`
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const input = {
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startUrls: [{ url: 'https://pharmacy.asda.com/medicines/healthspan-optivision' }],
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maxRequestsPerCrawl: 1,
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maxConcurrency: 1,
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maxRequestRetries: 0,
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requestTimeoutSecs: 45,
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pageFunction,
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proxyConfiguration: { useApifyProxy: true }
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}
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console.log(`Starting apify/cheerio-scraper for Healthspan OptiVision retailer fallback, maxRequests=1, cap=$${maxTotalChargeUsd}`)
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const start = await apify(`/v2/acts/apify~cheerio-scraper/runs?maxTotalChargeUsd=${maxTotalChargeUsd}`, {
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method: 'POST',
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body: JSON.stringify(input)
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})
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const run = await waitForRun(start.data.id)
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const items = run.defaultDatasetId ? await apify(`/v2/datasets/${run.defaultDatasetId}/items?clean=true`) : []
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const result = {
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capturedAt: generatedAt,
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job: 'healthspan-retailer',
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actor: 'apify/cheerio-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-retailer-${stamp}.json`), result)
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writeJson(join(rawRoot, 'top3-specialist-healthspan-retailer-latest.json'), result)
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console.log(`Healthspan retailer fallback ${run.status}: ${result.itemCount} items, usd=${run.usageTotalUsd || 0}`)
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