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We fall back to CSV if JSON isn't available.\nconst METABASE_JSON = METABASE_URL.replace(\"/question/\", \"/question/\") + \".json\";\n\nconst BROWSER_HEADERS = {\n \"User-Agent\":\n \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0 Safari/537.36\",\n \"Accept\": \"text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8\",\n \"Accept-Language\": \"en-US,en;q=0.9\",\n};\n\nconst URL_REGEX = /https?:\\/\\/[^\\s\"'<>)\\]]+/g;\n\n/** Pull every distinct URL out of the Metabase public question results. */\nexport async function gatherUrls(): Promise {\n let text = \"\";\n try {\n const res = await fetch(METABASE_JSON, { headers: BROWSER_HEADERS });\n if (res.ok) {\n text = await res.text();\n }\n } catch (_) { /* ignore, fall through */ }\n\n // Fallback: fetch the raw HTML page if JSON failed.\n if (!text) {\n const res = await fetch(METABASE_URL, { headers: BROWSER_HEADERS });\n text = await res.text();\n }\n\n const found = text.match(URL_REGEX) ?? [];\n const distinct = new Set();\n for (const raw of found) {\n const u = normalizeTrustpilotUrl(raw.replace(/\\\\\\//g, \"/\").trim());\n // Only keep links that look like external review sites (skip metabase/internal/static).\n if (/trustpilot\\.com|google\\.com\\/maps|g\\.page|trustedshops|avis-verifies|verified-reviews/i.test(u)) {\n distinct.add(u);\n }\n }\n return [...distinct];\n}\n\n/** Replace `/evaluate/` with `/review/` in trustpilot links, strip query/hash. */\nexport function normalizeTrustpilotUrl(url: string): string {\n let u = url;\n if (/trustpilot\\.com/i.test(u)) {\n u = u.replace(\"/evaluate/\", \"/review/\");\n // strip query + fragment so the same domain dedupes cleanly\n u = u.split(\"?\")[0].split(\"#\")[0];\n }\n return u;\n}\n\nexport function tenantFromUrl(url: string): string {\n const m = url.match(/\\/review\\/([^/?#]+)/i) || url.match(/\\/evaluate\\/([^/?#]+)/i);\n if (m) return m[1];\n try {\n return new URL(url).hostname;\n } catch {\n return url;\n }\n}\n\nexport function detectPlatform(url: string): string {\n if (/trustpilot\\.com/i.test(url)) return \"trustpilot\";\n if (/google\\.com\\/maps|g\\.page/i.test(url)) return \"google\";\n if (/trustedshops/i.test(url)) return \"trustedshops\";\n if (/avis-verifies|verified-reviews/i.test(url)) return \"verified-reviews\";\n return \"unknown\";\n}\n\nexport interface ScrapeResult {\n trustScore: number | null;\n reviews: number | null;\n lastReviewGiven: string | null;\n error: string | null;\n}\n\n/** Fetch a Trustpilot review page and extract the headline numbers. */\nexport async function scrapeTrustpilot(url: string): Promise {\n try {\n const res = await fetch(url, { headers: BROWSER_HEADERS });\n if (!res.ok) {\n return { trustScore: null, reviews: null, lastReviewGiven: null, error: `HTTP ${res.status}` };\n }\n const html = await res.text();\n\n // Trustpilot embeds structured data in a __NEXT_DATA__ / JSON-LD blob.\n let trustScore: number | null = null;\n let reviews: number | null = null;\n let lastReviewGiven: string | null = null;\n\n // 1) JSON-LD AggregateRating is the most reliable source.\n const ldMatches = [...html.matchAll(/]*type=\"application\\/ld\\+json\"[^>]*>([\\s\\S]*?)<\\/script>/g)];\n for (const m of ldMatches) {\n try {\n const data = JSON.parse(m[1]);\n const nodes = Array.isArray(data) ? data : (data[\"@graph\"] ?? [data]);\n for (const node of nodes) {\n const agg = node.aggregateRating;\n if (agg) {\n if (agg.ratingValue != null) trustScore = Number(agg.ratingValue);\n if (agg.reviewCount != null) reviews = Number(agg.reviewCount);\n else if (agg.ratingCount != null) reviews = Number(agg.ratingCount);\n }\n }\n } catch (_) { /* not valid JSON, skip */ }\n }\n\n // 2) Fallback: parse the meta description / visible text.\n if (trustScore == null) {\n const sm = html.match(/\"trustScore\":\\s*([\\d.]+)/) ||\n html.match(/TrustScore[^0-9]{0,20}([\\d.]+)\\s*out of 5/i);\n if (sm) trustScore = Number(sm[1]);\n }\n if (reviews == null) {\n const rm = html.match(/\"numberOfReviews\":\\s*\\{?\\s*\"total\":\\s*(\\d+)/) ||\n html.match(/([\\d,]+)\\s*reviews?/i);\n if (rm) reviews = Number(rm[1].replace(/,/g, \"\"));\n }\n\n // 3) Date of most recent review (best effort).\n const dm = html.match(/\"datePublished\":\"([^\"]+)\"/);\n if (dm) lastReviewGiven = dm[1];\n\n return { trustScore, reviews, lastReviewGiven, error: null };\n } catch (e) {\n return { trustScore: null, reviews: null, lastReviewGiven: null, error: String(e) };\n }\n}\n","deleted","label",[125],"d8cd96bc-eb5b-42af-ba26-d9e010a337e9","runScrape.ts","34b71bb6-637d-11f1-9747-1607ee4eb77e",3,["D",1780952483118],"import { initDb, upsertRow, type ScrapeRow } from \"./db.ts\";\nimport {\n detectPlatform,\n gatherUrls,\n scrapeTrustpilot,\n tenantFromUrl,\n} from \"./scrape.ts\";\n\nexport interface RunSummary {\n date: string;\n total: number;\n ok: number;\n failed: number;\n skippedNonTrustpilot: string[];\n rows: ScrapeRow[];\n}\n\n/** Core daily routine, reusable from the cron trigger and the manual button. */\nexport async function runScrape(): Promise {\n await initDb();\n const date = new Date().toISOString().slice(0, 10); // YYYY-MM-DD UTC\n\n const urls = await gatherUrls();\n const rows: ScrapeRow[] = [];\n const skippedNonTrustpilot: string[] = [];\n let ok = 0;\n let failed = 0;\n\n for (const link of urls) {\n const platform = detectPlatform(link);\n\n if (platform !== \"trustpilot\") {\n // The user asked to be guided for non-Trustpilot platforms.\n // We still record the link so they're visible in the dashboard.\n skippedNonTrustpilot.push(link);\n const row: ScrapeRow = {\n scrape_date: date,\n tenant: tenantFromUrl(link),\n link,\n platform,\n trust_score: null,\n reviews: null,\n last_review_given: null,\n raw_error: \"unsupported platform - needs guidance\",\n };\n await upsertRow(row);\n rows.push(row);\n continue;\n }\n\n const result = await scrapeTrustpilot(link);\n const row: ScrapeRow = {\n scrape_date: date,\n tenant: tenantFromUrl(link),\n link,\n platform,\n trust_score: result.trustScore,\n reviews: result.reviews,\n last_review_given: result.lastReviewGiven,\n raw_error: result.error,\n };\n await upsertRow(row);\n rows.push(row);\n if (result.error || result.trustScore == null) failed++;\n else ok++;\n\n // Be polite to Trustpilot — small delay between requests.\n await new Promise((r) => setTimeout(r, 400));\n }\n\n return {\n date,\n total: urls.length,\n ok,\n failed,\n skippedNonTrustpilot,\n rows,\n };\n}\n",[142],"b95b917a-94c0-42dc-8857-89f82fc524b0","render.ts","58b28960-637d-11f1-8c5b-1607ee4eb77e",8,["D",1780952543522],"import { readFile } from \"https://esm.town/v/std/utils/index.ts\";\nimport type { PivotResult } from \"./pivot.ts\";\n\n/** Inject the pivot JSON into the static HTML shell. */\nexport function renderDashboard(pivot: PivotResult): string {\n const html = readFile(\"/dashboard.html\", import.meta.url);\n // Escape \"\" so embedded JSON can't break out of the \n \n\n\n",[177],"f690961e-6e85-4d09-a998-452d54211462","daily.ts","38fd6ffe-637d-11f1-9bb5-1607ee4eb77e",4,["D",1780952490282],"interval","import { runScrape } from \"./runScrape.ts\";\n\n// Runs every day at 09:00 UTC.\n// Cron expressions on Val Town run in UTC — adjust if you want 9 AM in a\n// specific timezone (e.g. Paris is UTC+1/+2, so use \"0 7 * * *\" or \"0 8 * * *\").\nexport default async function () {\n const summary = await runScrape();\n console.log(\n `[trustpilot-tracker] ${summary.date}: ${summary.ok} ok, ${summary.failed} failed, ` +\n `${summary.skippedNonTrustpilot.length} non-trustpilot, ${summary.total} total`,\n );\n if (summary.skippedNonTrustpilot.length) {\n console.log(\"Non-Trustpilot links needing guidance:\", summary.skippedNonTrustpilot);\n }\n}\n",[184],"3c3f0265-d1d5-4857-9fb6-3cbfc4532059","app.ts","6722d482-637d-11f1-ba76-1607ee4eb77e",9,["D",1780952567743],"import { readFile } from \"https://esm.town/v/std/utils/index.ts\";\nimport { buildPivot } from \"./pivot.ts\";\nimport { runScrape } from \"./runScrape.ts\";\n\n// Main HTTP entrypoint for the dashboard.\n// (Use this file as the val's HTTP preview.)\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n\n if (url.pathname === \"/run\") {\n const summary = await runScrape();\n return Response.json(summary);\n }\n\n if (url.pathname === \"/csv\") {\n return csvResponse();\n }\n\n const pivot = await buildPivot();\n const html = await readFile(\"/dashboard.html\", import.meta.url);\n const json = JSON.stringify(pivot).replace(/ {\n const pivot = await buildPivot();\n const header = [\n \"Tenant\",\n \"Link\",\n \"Platform\",\n ...pivot.dates.flatMap((d) => [`TrustScore ${d}`, `Reviews ${d}`, `LastReviewGiven ${d}`]),\n \"ScoreGrowth\",\n \"ReviewsGrowth\",\n \"ReviewsGrowthPct\",\n ];\n const lines = [header.map(csv).join(\",\")];\n for (const t of pivot.tenants) {\n const cols = [\n t.tenant,\n t.link,\n t.platform,\n ...pivot.dates.flatMap((d) => {\n const c = t.cells[d];\n return [c?.trustScore ?? \"\", c?.reviews ?? \"\", c?.lastReviewGiven ?? \"\"];\n }),\n t.scoreGrowth ?? \"\",\n t.reviewsGrowth ?? \"\",\n t.reviewsGrowthPct ?? \"\",\n ];\n lines.push(cols.map(csv).join(\",\"));\n }\n return new Response(lines.join(\"\\n\"), {\n headers: {\n \"Content-Type\": \"text/csv; charset=utf-8\",\n \"Content-Disposition\": \"attachment; filename=trustpilot.csv\",\n },\n });\n}\n\nfunction csv(v: unknown): string {\n const s = String(v ?? \"\");\n return /[\",\\n]/.test(s) ? `\"${s.replace(/\"/g, '\"\"')}\"` : s;\n}\n",[192],"f2329645-5871-43c6-aee4-32e9a6a51483","README.md","70842e22-637d-11f1-9747-1607ee4eb77e",["D",1780952583485],"# ⭐ Trustpilot Tracker\n\nEvery day at **09:00 UTC** this val:\n\n1. Pulls the Metabase public question and gathers **all distinct URLs**.\n2. Rewrites Trustpilot `/evaluate/` links → `/review/`.\n3. Visits each Trustpilot page and scrapes the **trust score** (e.g. `4.1`) and **review count** (e.g. `45 reviews`), plus the date of the most recent review.\n4. Saves a row per tenant per day into SQLite.\n\nThe dashboard pivots everything into the wide shape you asked for:\n\n```\nTenant | Link | Score DayX | Reviews DayX | LastReview DayX | Score DayY | Reviews DayY | … | Δ Score | Δ Reviews | Δ Reviews %\n```\n\n## Files\n\n```mermaid\nflowchart TD\n D[daily.ts
cron 09:00 UTC] --> R[runScrape.ts]\n A[app.ts
HTTP dashboard] --> R\n A --> P[pivot.ts]\n R --> S[scrape.ts
gather URLs + parse Trustpilot]\n R --> DB[db.ts
SQLite]\n P --> DB\n A --> H[dashboard.html]\n```\n\n| File | Role |\n| --- | --- |\n| `daily.ts` | Cron trigger (09:00 UTC). Change to `0 7 * * *` for 9 AM Paris in winter. |\n| `app.ts` | **HTTP dashboard** — set this as the val's HTTP preview. Routes: `/` table, `/run` manual scrape, `/csv` export. |\n| `runScrape.ts` | Orchestrates a full daily run. |\n| `scrape.ts` | Gathers URLs from Metabase + parses Trustpilot pages. |\n| `pivot.ts` | Reshapes long rows into the wide per-day table with growth columns. |\n| `db.ts` | SQLite schema + upsert/read helpers. |\n| `dashboard.html` | Static UI shell. |\n\n## Usage\n\n- Open the dashboard and click **▶ Run scrape now** to do the first pull immediately (don't wait for 9 AM).\n- **⬇ Download CSV** exports the full wide table.\n\n## Notes & next steps\n\n- **Timezone:** crons run in **UTC**. `0 9 * * *` = 9 AM UTC. For 9 AM Europe/Paris use `0 7 * * *` (summer) or `0 8 * * *` (winter).\n- **Non-Trustpilot platforms** (Google, Trustedshops, Verified-Reviews…) are recorded with `platform != trustpilot` and a `needs guidance` note — share their structure and I'll add parsers.\n- **Metabase access:** the URL is `…internal.bigblue.co`. 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