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>
179 lines
6.6 KiB
TypeScript
179 lines
6.6 KiB
TypeScript
#!/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 outRoot = join(root, 'content_population_exports')
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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 outputSuffix = Bun.env.APIFY_SPECIALIST_OUTPUT_SUFFIX ? `-${Bun.env.APIFY_SPECIALIST_OUTPUT_SUFFIX.replace(/[^a-z0-9_-]/gi, '-')}` : ''
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const requestedScale = Math.min(1000, Math.max(100, Number(Bun.env.TOP3_SCRAPE_ITEMS_PER_SOURCE || 300)))
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type Job = {
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key: string
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actor: string
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maxTotalChargeUsd: number
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input: Record<string, any>
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note: string
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}
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const allJobs: Job[] = [
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{
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key: 'trustpilot',
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actor: 'zen-studio~trustpilot-review-scraper',
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maxTotalChargeUsd: Number(Bun.env.APIFY_TRUSTPILOT_MAX_USD || 2.5),
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note: `Brand-level Just Vitamins Trustpilot review capture capped to ${requestedScale} reviews.`,
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input: {
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businessUrl: 'https://www.trustpilot.com/review/www.justvitamins.co.uk',
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maxResults: Number(Bun.env.APIFY_TRUSTPILOT_MAX_RESULTS || requestedScale),
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sort: 'recency',
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dateRange: 'last12months',
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language: 'en',
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verifiedOnly: false,
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repliesOnly: false
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}
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},
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{
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key: 'reddit',
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actor: 'trudax~reddit-scraper-lite',
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maxTotalChargeUsd: Number(Bun.env.APIFY_REDDIT_MAX_USD || 2.5),
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note: `Category-language Reddit search capture capped to ${requestedScale} stored items across top-3 category searches and comments disabled by default.`,
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input: {
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searches: [
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...(Bun.env.APIFY_REDDIT_SEARCHES
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? Bun.env.APIFY_REDDIT_SEARCHES.split('|').map(item => item.trim()).filter(Boolean)
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: ['turmeric bioperine', 'vitamin d 1000iu UK', 'lutein zeaxanthin'])
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],
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searchPosts: true,
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searchComments: false,
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searchCommunities: false,
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searchUsers: false,
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sort: 'relevance',
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time: 'all',
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includeNSFW: false,
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maxItems: Number(Bun.env.APIFY_REDDIT_MAX_ITEMS || requestedScale),
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maxPostCount: Number(Bun.env.APIFY_REDDIT_MAX_POST_COUNT || requestedScale),
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maxComments: Number(Bun.env.APIFY_REDDIT_MAX_COMMENTS || 0),
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skipComments: true,
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skipCommunity: true,
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proxy: { useApifyProxy: true }
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}
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},
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{
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key: 'amazon-reviews',
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actor: 'web_wanderer~amazon-reviews-extractor',
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maxTotalChargeUsd: Number(Bun.env.APIFY_AMAZON_MAX_USD || 5),
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note: 'Amazon review text capture for exact confirmed ASINs only; increase products/ASIN map before broad paid runs.',
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input: {
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personal_data: false,
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products: [
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'B009756A58',
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'B009756BHA'
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],
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limit: Number(Bun.env.APIFY_AMAZON_PAGES_PER_PRODUCT || 10),
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sort: 'recent',
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rating: 'all',
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all_stars: false,
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avp_reviews: false,
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include_variants: true,
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region: 'amazon.co.uk',
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language: 'en'
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}
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}
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]
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const requestedKeys = (Bun.env.APIFY_SPECIALIST_JOBS || allJobs.map(j => j.key).join(','))
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.split(',')
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.map(v => v.trim())
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.filter(Boolean)
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const jobs = allJobs.filter(job => requestedKeys.includes(job.key))
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if (!jobs.length) throw new Error(`No jobs selected. Known jobs: ${allJobs.map(j => j.key).join(', ')}`)
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function writeJson(path: string, data: any) {
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mkdirSync(dirname(path), { recursive: true })
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writeFileSync(path, JSON.stringify(data, null, 2) + '\n', 'utf8')
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}
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async function apify(path: string, options: RequestInit = {}) {
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const sep = path.includes('?') ? '&' : '?'
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const res = await fetch(`https://api.apify.com${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}: ${typeof data === 'string' ? data : JSON.stringify(data)}`)
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return data
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}
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async function waitForRun(runId: string, timeoutMs = 1000 * 60 * 10) {
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const started = Date.now()
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let run = (await apify(`/v2/actor-runs/${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 results = []
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for (const job of jobs) {
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console.log(`Starting ${job.key} via ${job.actor} with cap $${job.maxTotalChargeUsd}`)
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const start = await apify(`/v2/acts/${job.actor}/runs?maxTotalChargeUsd=${job.maxTotalChargeUsd}`, {
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method: 'POST',
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body: JSON.stringify(job.input)
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})
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const run = await waitForRun(start.data.id)
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const datasetId = run.defaultDatasetId
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const items = datasetId ? await apify(`/v2/datasets/${datasetId}/items?clean=true`) : []
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const result = {
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capturedAt: generatedAt,
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job: job.key,
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actor: job.actor,
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note: job.note,
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maxTotalChargeUsd: job.maxTotalChargeUsd,
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input: job.input,
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run: {
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id: run.id,
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status: run.status,
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statusMessage: run.statusMessage,
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defaultDatasetId: run.defaultDatasetId,
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startedAt: run.startedAt,
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finishedAt: run.finishedAt,
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usageTotalUsd: run.usageTotalUsd,
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usage: run.usage,
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stats: run.stats,
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chargedEventCounts: run.chargedEventCounts
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},
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itemCount: Array.isArray(items) ? items.length : 0,
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items
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}
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const stamp = generatedAt.replace(/[:.]/g, '-')
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const rawPath = join(rawRoot, `top3-specialist-${job.key}${outputSuffix}-${stamp}.json`)
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const latestPath = join(rawRoot, `top3-specialist-${job.key}${outputSuffix}-latest.json`)
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writeJson(rawPath, result)
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writeJson(latestPath, result)
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results.push({ ...result, rawPath, latestPath, items: undefined })
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console.log(`${job.key}: ${run.status}, items=${result.itemCount}, usd=${run.usageTotalUsd || 0}`)
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}
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const manifest = {
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generatedAt,
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ready: results.every(row => row.run.status === 'SUCCEEDED'),
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jobs: results.map(row => ({
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job: row.job,
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actor: row.actor,
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status: row.run.status,
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itemCount: row.itemCount,
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usageTotalUsd: row.run.usageTotalUsd,
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maxTotalChargeUsd: row.maxTotalChargeUsd,
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rawPath: row.rawPath,
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latestPath: row.latestPath
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}))
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}
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writeJson(join(outRoot, 'top3_apify_specialist_scrapes.json'), manifest)
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console.log(`Specialist Apify jobs completed: ${results.length}`)
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