Files
justvitamin/scripts/run-apify-top3-source-scrape.ts
T
Omair Saleh 056c47581f 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>
2026-06-02 18:50:09 +08:00

172 lines
8.9 KiB
TypeScript

#!/usr/bin/env bun
import { mkdirSync, writeFileSync } from 'fs'
import { dirname, join } from 'path'
const root = process.cwd()
const rawRoot = join(root, 'data', 'sources', 'apify', 'raw')
const outRoot = join(root, 'content_population_exports')
const token = Bun.env.APIFY_TOKEN || Bun.env.APIFY_API_TOKEN
const generatedAt = new Date().toISOString()
const targets = [
// JV product pages: web evidence; database remains product truth.
{ sku: 'JV-TURMERIC500', sourceType: 'jv_public_pdp', label: 'JV Turmeric public PDP', url: 'https://www.justvitamins.co.uk/Turmeric-Tablets-with-Bioperine-Black-Pepper-Extract.aspx' },
{ sku: 'JV-DEFF1000', sourceType: 'jv_public_pdp', label: 'JV Vitamin D Effervescent public PDP', url: 'https://www.justvitamins.co.uk/Vitamin-D/One-A-Day-Vitamin-D-Effervescent-Tablets.aspx' },
{ sku: 'JV-VISISOFT', sourceType: 'jv_public_pdp', label: 'JV Visisoft public PDP', url: 'https://www.justvitamins.co.uk/Vitamins-To-Aid-Vision/Visisoft-Lutein.aspx' },
// Competitor PDPs.
{ sku: 'JV-TURMERIC500', sourceType: 'competitor_pdp', label: 'Feel Pro Turmeric', competitor: 'Feel', url: 'https://wearefeel.com/en-us/products/feel-pro-turmeric' },
{ sku: 'JV-TURMERIC500', sourceType: 'competitor_pdp', label: 'Ancient + Brave turmeric search/product context', competitor: 'Ancient + Brave', url: 'https://ancientandbrave.earth/search?q=turmeric' },
{ sku: 'JV-DEFF1000', sourceType: 'competitor_pdp', label: 'Vitabiotics Immunace Fizz', competitor: 'Vitabiotics', url: 'https://www.vitabiotics.com/collections/all-vitabiotics-products/products/immunace-fizz-effervescent-tablets' },
{ sku: 'JV-DEFF1000', sourceType: 'competitor_pdp', label: 'Healthspan Vitamin D context', competitor: 'Healthspan', url: 'https://www.healthspan.co.uk/search?q=vitamin%20d' },
{ sku: 'JV-VISISOFT', sourceType: 'competitor_pdp', label: 'Healthspan OptiVision', competitor: 'Healthspan', url: 'https://www.healthspan.co.uk/optivision/' },
{ sku: 'JV-VISISOFT', sourceType: 'competitor_pdp', label: 'MacuShield eye health context', competitor: 'MacuShield', url: 'https://www.macushield.com/products/' },
// Amazon marketplace pages. These may be bot-protected; preserve raw blocked pages if so.
{ sku: 'JV-TURMERIC500', sourceType: 'amazon_search', label: 'Amazon UK turmeric marketplace search', url: 'https://www.amazon.co.uk/s?k=Just+Vitamins+Turmeric+BioPerine' },
{ sku: 'JV-DEFF1000', sourceType: 'amazon_search', label: 'Amazon UK Vitamin D effervescent marketplace search', url: 'https://www.amazon.co.uk/s?k=Just+Vitamins+Vitamin+D+Effervescent+1000iu' },
{ sku: 'JV-VISISOFT', sourceType: 'amazon_search', label: 'Amazon UK Visisoft marketplace search', url: 'https://www.amazon.co.uk/s?k=Just+Vitamins+Visisoft+Lutein' },
// Trustpilot and Reddit public pages.
{ sku: 'ALL_TOP3', sourceType: 'trustpilot_brand', label: 'Trustpilot Just Vitamins brand reviews', url: 'https://www.trustpilot.com/review/www.justvitamins.co.uk' },
{ sku: 'JV-TURMERIC500', sourceType: 'reddit_category', label: 'Reddit turmeric category search', url: 'https://www.reddit.com/r/Supplements/search.json?q=turmeric%20bioperine&restrict_sr=on&sort=relevance&t=all' },
{ sku: 'JV-DEFF1000', sourceType: 'reddit_category', label: 'Reddit Vitamin D category search', url: 'https://www.reddit.com/r/VitaminD/search.json?q=1000iu%20UK&restrict_sr=on&sort=relevance&t=all' },
{ sku: 'JV-VISISOFT', sourceType: 'reddit_category', label: 'Reddit lutein zeaxanthin category search', url: 'https://www.reddit.com/r/Supplements/search.json?q=lutein%20zeaxanthin&restrict_sr=on&sort=relevance&t=all' }
]
const onlySourceTypes = (Bun.env.APIFY_ONLY_SOURCE_TYPES || '').split(',').map(v => v.trim()).filter(Boolean)
const selectedTargets = onlySourceTypes.length ? targets.filter(target => onlySourceTypes.includes(target.sourceType)) : targets
const maxRequests = Number(Bun.env.APIFY_MAX_REQUESTS || selectedTargets.length)
if (!Number.isFinite(maxRequests) || maxRequests < 1 || maxRequests > selectedTargets.length) {
throw new Error(`APIFY_MAX_REQUESTS must be between 1 and ${selectedTargets.length}`)
}
if (!token) throw new Error('Missing APIFY_TOKEN or APIFY_API_TOKEN')
function writeJson(path: string, data: any) {
mkdirSync(dirname(path), { recursive: true })
writeFileSync(path, JSON.stringify(data, null, 2) + '\n', 'utf8')
}
async function apify(path: string, options: RequestInit = {}) {
const sep = path.includes('?') ? '&' : '?'
const res = await fetch(`https://api.apify.com${path}${sep}token=${encodeURIComponent(token!)}`, {
...options,
headers: {
'Content-Type': 'application/json',
...(options.headers || {})
}
})
const text = await res.text()
let data: any
try { data = text ? JSON.parse(text) : null } catch { data = text }
if (!res.ok) throw new Error(`Apify ${res.status} ${res.statusText}: ${typeof data === 'string' ? data : JSON.stringify(data)}`)
return data
}
const pageFunction = String.raw`
async function pageFunction(context) {
const { request, $, body, response } = context;
const clean = (value) => String(value || '').replace(/\s+/g, ' ').trim();
const text = clean($('body').text()).slice(0, 250000);
const headings = $('h1,h2,h3').map((_, el) => clean($(el).text())).get().filter(Boolean).slice(0, 300);
const links = $('a[href]').map((_, el) => ({ text: clean($(el).text()).slice(0, 180), href: $(el).attr('href') })).get().filter(row => row.text || row.href).slice(0, 1000);
const prices = $('[class*=price], [data-testid*=price], [aria-label*=price]').map((_, el) => clean($(el).text())).get().filter(Boolean).slice(0, 200);
const reviewLike = $('[class*=review], [data-testid*=review], article, blockquote').map((_, el) => clean($(el).text())).get().filter(Boolean).slice(0, 1000);
return {
capturedAt: new Date().toISOString(),
requestedUrl: request.url,
loadedUrl: request.loadedUrl || request.url,
statusCode: response?.statusCode || null,
sku: request.userData.sku,
sourceType: request.userData.sourceType,
label: request.userData.label,
competitor: request.userData.competitor || null,
title: clean($('title').first().text()),
metaDescription: clean($('meta[name="description"]').attr('content')),
h1: clean($('h1').first().text()),
headings,
prices,
reviewLike,
links,
text,
htmlChars: body ? body.length : 0,
textChars: text.length
};
}`
const input = {
startUrls: selectedTargets.slice(0, maxRequests).map(target => ({ url: target.url, userData: target })),
maxRequestsPerCrawl: maxRequests,
maxConcurrency: 2,
maxRequestRetries: 0,
requestTimeoutSecs: 45,
pageFunction,
proxyConfiguration: { useApifyProxy: true },
ignoreSslErrors: true
}
const runStart = await apify('/v2/acts/apify~cheerio-scraper/runs', {
method: 'POST',
body: JSON.stringify(input)
})
const runId = runStart.data.id
let run = runStart.data
const started = Date.now()
while (!['SUCCEEDED', 'FAILED', 'ABORTED', 'TIMED-OUT'].includes(run.status)) {
if (Date.now() - started > 1000 * 60 * 8) throw new Error(`Timed out waiting for Apify run ${runId}`)
await new Promise(resolve => setTimeout(resolve, 5000))
run = (await apify(`/v2/actor-runs/${runId}`)).data
console.log(`Apify ${runId}: ${run.status} ${run.stats?.requestsFinished || 0}/${maxRequests}`)
}
const datasetId = run.defaultDatasetId
const items = datasetId ? await apify(`/v2/datasets/${datasetId}/items?clean=true`) : []
const result = {
capturedAt: generatedAt,
actor: 'apify/cheerio-scraper',
purpose: 'top3_comprehensive_source_scrape',
requestCap: maxRequests,
targetCount: targets.length,
requestedTargets: selectedTargets.slice(0, maxRequests),
run: {
id: run.id,
status: run.status,
statusMessage: run.statusMessage,
defaultDatasetId: run.defaultDatasetId,
startedAt: run.startedAt,
finishedAt: run.finishedAt,
stats: run.stats,
usageTotalUsd: run.usageTotalUsd,
usage: run.usage
},
itemCount: Array.isArray(items) ? items.length : 0,
items
}
const stamp = generatedAt.replace(/[:.]/g, '-')
const outputBase = Bun.env.APIFY_OUTPUT_BASENAME || 'top3-comprehensive-source-scrape'
const rawPath = join(rawRoot, `${outputBase}-${stamp}.json`)
const latestPath = join(rawRoot, `${outputBase}-latest.json`)
writeJson(rawPath, result)
writeJson(latestPath, result)
writeJson(join(outRoot, 'top3_apify_comprehensive_scrape.json'), {
generatedAt,
ready: run.status === 'SUCCEEDED',
runId,
datasetId,
requestCap: maxRequests,
targetCount: targets.length,
itemCount: result.itemCount,
status: run.status,
rawPath,
latestPath,
coverage: selectedTargets.slice(0, maxRequests).map(target => ({
sku: target.sku,
sourceType: target.sourceType,
label: target.label,
url: target.url,
captured: result.items.some((item: any) => item.requestedUrl === target.url || item.label === target.label)
}))
})
console.log(`Apify run ${runId} ${run.status}: ${result.itemCount}/${maxRequests} items`)
console.log(`Wrote ${latestPath}`)