[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_178":179,"_180":181},"routes/_app.x.$handle.$name",{"_106":105,"_38":51,"_115":96,"_33":116,"_13":14,"_117":-5,"_11":118,"_119":120,"_121":122,"_123":124,"_125":126,"_26":-5,"_127":-5,"_128":-5,"_129":31,"_130":131,"_132":31,"_133":-5,"_134":-5,"_135":136},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":18,"_19":-5},"project",{"_49":50,"_38":51,"_44":52,"_53":-5,"_54":31,"_55":56,"_57":56,"_58":59,"_60":-5,"_19":61,"_62":63,"_64":65,"_66":-5,"_67":-5,"_68":69,"_70":71,"_72":73,"_74":75,"_76":77,"_78":-5,"_79":80,"_81":80,"_82":83,"_84":83,"_85":83,"_86":80,"_87":80,"_88":89,"_90":91,"_92":93,"_94":31},"version",3,"changes",[25],"aiChatInfo",{"_20":21,"_22":-5,"_23":-5,"_24":-5},"userId","aiChatMessageId","26153be8-271e-45d9-b78c-f44bb63a8aaa","aiChatThreadId","aiChatThreadUserId","aiChatThreadTitle",{"_26":27,"_28":29,"_30":31,"_32":31,"_33":34,"_35":34},"file",{"_36":37,"_38":34,"_39":40,"_41":43,"_44":45,"_46":14,"_47":48,"_30":31},"previous",{"_36":37,"_38":34,"_39":40,"_41":42},"deleted",false,"deletedHere","path","check-prices.ts","latestPath","fileId","1104d7d8-7fc2-11f1-9fdf-1607ee4eb77e","name","fileType","interval","content","import { email } from \"https://esm.town/v/std/email\";\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\n// We'll implement the price tracking logic here\nexport default async function () {\n console.log(\"Price tracker started\");\n}\n","import { email } from \"https://esm.town/v/std/email\";\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nimport { scrapeTemu, type TemuProduct } from \"./scrape.ts\";\n\nexport default async function () {\n // Ensure table exists\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS price_history (\n product_id TEXT,\n title TEXT,\n price REAL,\n url TEXT,\n checked_at TEXT DEFAULT (datetime('now')),\n PRIMARY KEY (product_id, checked_at)\n )\n `);\n\n // Scrape current prices\n let products: TemuProduct[];\n try {\n products = await scrapeTemu();\n } catch (err) {\n console.error(\"Scraping failed:\", err);\n return;\n }\n\n if (products.length === 0) {\n console.log(\"No products found — Temu may require JavaScript rendering.\");\n return;\n }\n\n // Get previous prices\n const previous = await sqlite.execute({\n sql: `\n SELECT product_id, title, MIN(price) as min_price\n FROM price_history\n GROUP BY product_id\n `,\n });\n const prevMap = new Map();\n for (const row of previous.rows) {\n prevMap.set(row.product_id as string, row.min_price as number);\n }\n\n // Save current prices and find drops\n const drops: { title: string; oldPrice: number; newPrice: number; url: string }[] = [];\n\n for (const p of products) {\n await sqlite.execute({\n sql: `INSERT OR REPLACE INTO price_history (product_id, title, price, url, checked_at) VALUES (?, ?, ?, ?, datetime('now'))`,\n args: [p.id, p.title, p.price, p.url],\n });\n\n const prev = prevMap.get(p.id);\n if (prev !== undefined && p.price < prev) {\n drops.push({\n title: p.title,\n oldPrice: prev,\n newPrice: p.price,\n url: p.url,\n });\n }\n }\n\n console.log(`Checked ${products.length} products, ${drops.length} price drops`);\n\n // Send email if any drops\n if (drops.length > 0) {\n const rows = drops.map((d) =>\n `\n ${d.title}\n $${d.oldPrice}\n $${d.newPrice}\n קישור\n `\n ).join(\"\");\n\n const html = `\n

📉 ירידת מחיר ב-Temu!

זוהו ${drops.length} מוצרים שירדו במחיר:

\n \n \n \n \n \n \n \n ${rows}\n

מוצר	מחיר ישן	מחיר חדש	קישור

\n `;\n\n await email({\n subject: `📉 ירידת מחיר ב-Temu — ${drops.length} מוצרים`,\n html,\n });\n console.log(\"Price drop email sent!\");\n }\n}\n","createdAt",["D",1784060719633],"branchVersion","branchId","bfd879d3-045c-4d12-a588-d9d448133b49","id","8177f21a-8d9a-4836-b161-517fd02a2f59","temu-price-tracker",["D",1784060691062],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","Track Temu product prices and get email alerts when prices drop","imageUrl","b0ddb193-971c-48cf-b6e4-6ae743b9885c","pinnedFileId","1e742346-7fc3-11f1-880d-1607ee4eb77e","pinPreview",true,"pinMigrated","screenshotVersion","likeCount",0,"orgId","019f622f-e377-70a4-887f-3d8c24230afa","tursoName","8177f21a8d9a4836b161517fd02a2f59","tursoHostname","8177f21a8d9a4836b161517fd02a2f59-val-town.aws-us-east-2.turso.io","tursoMeasuredAt",["D",1789473046147],"pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_106":105,"_114":110},"org",{"_106":105,"_107":108,"_109":110,"_19":61,"_111":112,"_113":31},"branch",{"_13":95,"_38":96,"_49":48,"_97":50,"_98":-5,"_99":-5,"_100":-5,"_101":-5,"_102":-5,"_103":51,"_104":105},"isOwned",22,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","ayalarot12","handle","displayName","אילה ביכלר","avatar","https://lh3.googleusercontent.com/a/ACg8ocICqPGHEjNc90LBLwJmyiIvzGkWGVrjBPubchUyoDarmDsbIg=s96-c","tier","free","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_49":50,"_38":51,"_44":173,"_53":-5,"_54":31,"_55":56,"_57":56,"_58":59,"_60":-5,"_19":61,"_62":63,"_64":65,"_66":-5,"_67":-5,"_68":69,"_70":71,"_72":73,"_74":75,"_76":174,"_78":-5,"_79":80,"_81":80,"_82":83,"_84":83,"_85":83,"_86":80,"_87":80,"_88":175,"_90":176,"_92":177,"_94":31},"tree",[164,165],"files",[164,165],"counts",{"_154":69,"_155":152,"_156":69,"_157":158,"_159":160},"contents",[137,138],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_49":150,"_38":34,"_36":37,"_142":-5,"_47":48,"_46":14,"_144":31,"_44":151,"_13":152,"_39":40,"_41":43,"_30":31,"_148":-5,"_33":153},{"_49":139,"_38":140,"_36":141,"_142":-5,"_47":48,"_46":143,"_144":31,"_44":145,"_13":69,"_39":146,"_41":147,"_30":31,"_148":-5,"_33":149},"330016a4-848b-4031-b1de-4dc958eca9e3","scrape.ts","1b94ecce-7fc2-11f1-87a8-1607ee4eb77e","parentId",2,"latest",["D",1784060708805],"script","// Scrapes Temu search results page and extracts product names + prices\n\nexport interface TemuProduct {\n id: string;\n title: string;\n price: number;\n url: string;\n image?: string;\n}\n\nconst SEARCH_URL =\n \"https://www.temu.com/search_result.html?search_key=%D7%98%D7%9E%D7%95%20%D7%A7%D7%99%D7%A9%D7%95%D7%98%20%D7%A4%D7%A8%D7%97%D7%99%D7%9D%20%D7%9C%D7%A8%D7%90%D7%A9%20%D7%9C%D7%97%D7%AA%D7%95%D7%A0%D7%94%20%D7%96%D7%94%D7%91&search_method=user\";\n\nexport async function scrapeTemu(): Promise {\n const res = await fetch(SEARCH_URL, {\n headers: {\n \"User-Agent\":\n \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 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 });\n\n if (!res.ok) {\n throw new Error(`Temu returned status ${res.status}`);\n }\n\n const html = await res.text();\n console.log(`Fetched ${html.length} chars from Temu`);\n\n const products = parseProducts(html);\n console.log(`Found ${products.length} products`);\n return products;\n}\n\nfunction parseProducts(html: string): TemuProduct[] {\n const products: TemuProduct[] = [];\n\n // Strategy 1: Look for embedded JSON data (common in modern e-commerce sites)\n // Temu often embeds data in window.__INITIAL_STATE__ or similar\n const jsonMatches = html.match(\n /window\\.(?:__INITIAL_STATE__|__PRELOAD_STATE__|rawData|__NUXT__)\\s*=\\s*({.+?});/s,\n );\n if (jsonMatches) {\n console.log(\"Found embedded JSON state, attempting to parse...\");\n try {\n const data = JSON.parse(jsonMatches[1]);\n // Try to navigate various possible structures\n const items = data?.store?.searchResult?.data?.list ??\n data?.search?.result?.data?.list ??\n data?.items ??\n [];\n for (const item of items) {\n if (item.goods_name && item.salePrice?.amount) {\n products.push({\n id: String(item.goods_id ?? item.id ?? Math.random()),\n title: item.goods_name,\n price: parseFloat(item.salePrice.amount),\n url: `https://www.temu.com/goods-${item.goods_id}.html`,\n image: item.thumb?.url ?? item.image?.url,\n });\n }\n }\n if (products.length > 0) return products;\n } catch (e) {\n console.log(\"Failed to parse embedded JSON:\", e);\n }\n }\n\n // Strategy 2: Look for JSON-LD structured data\n const ldMatches = html.matchAll(\n /]*type=\"application\\/ld\\+json\"[^>]*>([\\s\\S]*?)<\\/script>/g,\n );\n for (const match of ldMatches) {\n try {\n const data = JSON.parse(match[1]);\n const items = Array.isArray(data) ? data : [data];\n for (const item of items) {\n if (item[\"@type\"] === \"Product\" && item.offers?.price) {\n products.push({\n id: item.sku ?? item[\"@id\"] ?? Math.random().toString(),\n title: item.name,\n price: parseFloat(item.offers.price),\n url: item.url ?? SEARCH_URL,\n image: item.image,\n });\n }\n }\n } catch {\n // skip malformed JSON-LD\n }\n }\n if (products.length > 0) return products;\n\n // Strategy 3: Regex for price patterns near product titles\n // Look for patterns like data-price=\"$12.34\" or price in JSON fragments\n const priceRegex = /\"(?:salePrice|price|sale_price)\"\\s*:\\s*\\{?\\s*\"?(?:amount|num)?\"?\\s*:\\s*\"?(\\d+\\.?\\d*)\"?/g;\n const titleRegex = /\"(?:goods_name|title|goodsName|productName)\"\\s*:\\s*\"([^\"]+)\"/g;\n\n const prices = [...html.matchAll(priceRegex)].map((m) =>\n parseFloat(m[1])\n );\n const titles = [...html.matchAll(titleRegex)].map((m) => m[1]);\n\n const count = Math.min(prices.length, titles.length);\n for (let i = 0; i < count; i++) {\n products.push({\n id: `regex-${i}`,\n title: titles[i],\n price: prices[i],\n url: SEARCH_URL,\n });\n }\n\n return products;\n}\n","label",[140],"eb16cd97-7a95-4090-9e8c-6c89dea6f5bf",["D",1784060719633],1,[34],"pulls","branches","forks","envVars",{"_161":69,"_163":69},"connections",{"_161":69,"_162":69},"count","unfilledCount","emptyCount",{"_49":150,"_38":34,"_36":37,"_142":-5,"_47":48,"_46":14,"_144":31,"_44":170,"_13":152,"_39":40,"_41":43,"_30":31,"_148":-5,"_167":171,"_33":172},{"_49":139,"_38":140,"_36":141,"_142":-5,"_47":48,"_46":143,"_144":31,"_44":166,"_13":69,"_39":146,"_41":147,"_30":31,"_148":-5,"_167":168,"_33":169},["D",1784060708805],"children",[],[140],["D",1784060719633],[],[34],["D",1784060691062],["D",1789473046147],{"_106":105,"_114":110},{"_106":105,"_107":108,"_109":110,"_19":61,"_111":112,"_113":31},{"_13":95,"_38":96,"_49":48,"_97":50,"_98":-5,"_99":-5,"_100":-5,"_101":-5,"_102":-5,"_103":51,"_104":105},"ctx",{"_88":-5,"_134":211,"_212":213,"_214":215,"_216":31,"_217":31,"_218":31,"_219":65,"_220":-5,"_221":-7,"_222":-7,"_223":69,"_224":31,"_225":31,"_226":-5,"_227":31,"_228":31,"_229":31,"_230":-5},"ENV",{"_182":183,"_184":185,"_186":96,"_187":188,"_189":190,"_191":192,"_193":194,"_195":196,"_197":198,"_199":200,"_201":202,"_203":204,"_205":206,"_207":208,"_209":210},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e87eb04e707cf64e7e532c8e8ec395f209e17f15","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Diff · v3