{
  "name": "Veille & Engagement — Digest matin 8h",
  "nodes": [
    {
      "parameters": {
        "rule": {
          "interval": [
            {
              "field": "cronExpression",
              "expression": "0 6 * * *"
            }
          ]
        }
      },
      "id": "dcc4ba00-46a8-4d65-944e-1beea663bab8",
      "name": "Déclencheur 6h00",
      "type": "n8n-nodes-base.scheduleTrigger",
      "typeVersion": 1.2,
      "position": [
        1136,
        240
      ]
    },
    {
      "parameters": {
        "documentId": {
          "__rl": true,
          "value": "1NvgtiwfgwKRjsm025O3qlXnUcw6QffZpVLI1_4IAHLc",
          "mode": "id"
        },
        "sheetName": {
          "__rl": true,
          "value": "Profils",
          "mode": "name"
        },
        "options": {}
      },
      "id": "867f70f0-14c5-4d2f-b727-263d0f4fa452",
      "name": "Lire la liste de profils",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4.5,
      "position": [
        1360,
        240
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "EvORDqxqhAIKRlIW",
          "name": "Google Sheets account"
        }
      }
    },
    {
      "parameters": {
        "jsCode": "// Construit le tableau d'identifiants de profils à passer à Apify.\n// L'acteur batch accepte des usernames (ex: 'satyanadella') OU des URLs de profil.\n// La feuille 'Profils' doit avoir une colonne 'usernames' (et optionnellement 'actif' = TRUE).\nconst usernames = [];\nfor (const item of $input.all()) {\n  const row = item.json;\n  const actif = row.actif === undefined ? true : String(row.actif).toUpperCase() !== 'FALSE';\n  if (actif && row.usernames) usernames.push(String(row.usernames).trim());\n}\nreturn [{ json: { usernames } }];"
      },
      "id": "dd2954b8-9ba7-4473-b7d3-a64ff9d90262",
      "name": "Préparer input Apify",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        1584,
        240
      ]
    },
    {
      "parameters": {
        "method": "POST",
        "url": "=https://api.apify.com/v2/acts/apimaestro~linkedin-batch-profile-posts-scraper/run-sync-get-dataset-items",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpQueryAuth",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "={{ JSON.stringify({ usernames: $json.usernames, limit: 10 }) }}",
        "options": {
          "timeout": 300000
        }
      },
      "id": "ca6773a5-4edf-492a-b21d-28eb2546463d",
      "name": "Apify — Scraper posts batch",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.2,
      "position": [
        1808,
        240
      ],
      "credentials": {
        "httpQueryAuth": {
          "id": "HugQXVQWyfUoDoLl",
          "name": "Query Auth account 2"
        }
      },
      "notes": "Acteur apimaestro/linkedin-batch-profile-posts-scraper. Endpoint run-sync-get-dataset-items : bloque jusqu'à la fin du run et renvoie directement les items du dataset. Input = { usernames:[...], limit:1-100 }. PAS de filtre de date côté serveur — on plafonne avec limit:10 (les 10 plus récents/profil) et la dédup historique évite de re-traiter les anciens. Auth : credential Query Auth 'token' = jeton Apify (?token=...)."
    },
    {
      "parameters": {
        "jsCode": "// Normalise les items du dataset Apify (acteur BATCH apimaestro/linkedin-batch-profile-posts-scraper).\n// Robuste aux 3 formes possibles : item = post à plat, item = { posts:[...] }, item = { data:{ posts:[...] } }.\nconst out = [];\nfunction pushPost(p) {\n  if (!p) return;\n  const url = p.url || p.postUrl || '';\n  // Pas d'urn dans la sortie batch : on dédup sur l'URL (qui contient l'activity id).\n  const id = p.full_urn || p.postId || p.activityId || url;\n  if (!id) return;\n  const a = p.author || {};\n  const author = [a.first_name, a.last_name].filter(Boolean).join(' ').trim()\n    || a.name || p.authorName || p.fullName || 'Inconnu';\n  const s = p.stats || {};\n  const postedAt = typeof p.posted_at === 'string'\n    ? p.posted_at\n    : (p.posted_at && p.posted_at.date) || p.postedAt || p.publishedAt || '';\n  out.push({\n    json: {\n      postId: String(id),\n      author,\n      profileUrl: a.profile_url || a.url || p.profileUrl || '',\n      url,\n      text: (p.text || p.commentary || p.postText || '').slice(0, 2000),\n      postedAt,\n      likes: (s.total_reactions != null ? s.total_reactions : (s.likes != null ? s.likes : p.likesCount)) || 0,\n      comments: (s.comments != null ? s.comments : p.commentsCount) || 0\n    }\n  });\n}\nfor (const item of $input.all()) {\n  const j = item.json;\n  if (Array.isArray(j.posts)) j.posts.forEach(pushPost);\n  else if (j.data && Array.isArray(j.data.posts)) j.data.posts.forEach(pushPost);\n  else pushPost(j);\n}\nreturn out;"
      },
      "id": "66aacb1c-f269-4a69-8234-e09238d503ab",
      "name": "Normaliser les posts",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        2016,
        240
      ]
    },
    {
      "parameters": {
        "documentId": {
          "__rl": true,
          "value": "1NvgtiwfgwKRjsm025O3qlXnUcw6QffZpVLI1_4IAHLc",
          "mode": "id"
        },
        "sheetName": {
          "__rl": true,
          "value": "Historique",
          "mode": "name"
        },
        "options": {}
      },
      "id": "26208366-176d-48b4-b38e-0edc8593b3c7",
      "name": "Lire historique (déjà vus)",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4.5,
      "position": [
        2016,
        480
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "EvORDqxqhAIKRlIW",
          "name": "Google Sheets account"
        }
      }
    },
    {
      "parameters": {
        "jsCode": "// Garde uniquement les posts dont le postId n'est PAS déjà dans l'historique.\nconst seen = new Set();\nfor (const r of $('Lire historique (déjà vus)').all()) {\n  if (r.json.postId) seen.add(String(r.json.postId));\n}\nconst nouveaux = [];\nfor (const item of $('Normaliser les posts').all()) {\n  if (!seen.has(item.json.postId)) nouveaux.push(item);\n}\nif (nouveaux.length === 0) return [];\nreturn nouveaux;"
      },
      "id": "f0528314-3b76-426f-83f8-0220ca274939",
      "name": "Filtrer les nouveaux",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        2240,
        240
      ]
    },
    {
      "parameters": {
        "jsCode": "// Agrège tous les nouveaux posts en un seul item pour un appel Claude unique.\nconst posts = $input.all().map((i, idx) => ({ index: idx, ...i.json }));\nreturn [{ json: { posts, count: posts.length } }];"
      },
      "id": "b2617f4f-f19f-4da0-b986-3ad607922373",
      "name": "Agréger pour Claude",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        2464,
        240
      ]
    },
    {
      "parameters": {
        "method": "POST",
        "url": "https://api.anthropic.com/v1/messages",
        "sendHeaders": true,
        "headerParameters": {
          "parameters": [
            {
              "name": "x-api-key",
              "value": "={{ $env.ANTHROPIC_API_KEY }}"
            },
            {
              "name": "anthropic-version",
              "value": "2023-06-01"
            },
            {
              "name": "content-type",
              "value": "application/json"
            }
          ]
        },
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "={{ JSON.stringify({\n  model: 'claude-sonnet-4-6',\n  max_tokens: 4000,\n  system: \"Tu es l'agent de tri matinal de Linked Connexion (cabinet Fidulia). Tu combines les critères de l'Agent Veille (50) et de l'Agent Engagement (42). Les 3 thèmes Fidulia sont : LinkedIn, IA, et professions réglementées / de confiance (CGP, experts-comptables, avocats, notaires, médecins). Pour CHAQUE post fourni, décide une catégorie parmi COMMENTER, VEILLE ou SKIP.\\n\\nCOMMENTER (logique Agent 42) : post d'un prospect, influenceur ou contact dont on veut gagner la visibilité. Sujet aligné LinkedIn/IA/professions de confiance, hors politique/religion/sport/polémique stérile, sujet où Fidulia est légitime. Engagement déjà visible (>=5 commentaires) = priorité. Si COMMENTER, propose un 'angle' (donnee | position | question_rhetorique) et un 'brouillon' d'une seule phrase, valeur standalone, sans pitch, sans tiret cadratin, sans question ouverte type 'et vous ?'.\\n\\nVEILLE (logique Agent 50) : signal d'information d'une source d'autorite (institution, rapport, presse serieuse, communique AMF/OEC/CNB/ORIAS), chiffre verifiable, changement d'algorithme LinkedIn, tendance B2B/marketing de fond. Pas d'opinion d'influenceur a citer comme fait. Si VEILLE, propose un 'tag' (POST | NEWSLETTER | SIGNAL_FORT).\\n\\nSKIP : generique, hors perimetre, sans autorite, politique/sport, contenu promotionnel pur.\\n\\nReponds UNIQUEMENT avec un tableau JSON valide, un objet par post, sans texte autour. Schema : {index:number, categorie:'COMMENTER'|'VEILLE'|'SKIP', interet:1-5, raison:string, angle?:string, brouillon?:string, tag?:string}.\",\n  messages: [{ role: 'user', content: 'Voici les posts a trier (JSON) :\\n' + JSON.stringify($json.posts) }]\n}) }}",
        "options": {}
      },
      "id": "88eea6f6-4831-49ee-b08d-38317ecbfc0d",
      "name": "Claude — Classer les posts",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.2,
      "position": [
        2688,
        240
      ],
      "notes": "Embarque les critères des agents 50/42. Modèle sonnet-4-6 (passer à haiku-4-5 pour réduire le coût). Clé via $env.ANTHROPIC_API_KEY."
    },
    {
      "parameters": {
        "jsCode": "// Parse la réponse Claude et rattache chaque décision à son post d'origine.\nconst raw = $json.content?.[0]?.text || '[]';\nlet decisions;\ntry {\n  const m = raw.match(/\\[[\\s\\S]*\\]/);\n  decisions = JSON.parse(m ? m[0] : raw);\n} catch (e) {\n  decisions = [];\n}\nconst posts = $('Agréger pour Claude').first().json.posts;\nconst byIndex = {};\nfor (const d of decisions) byIndex[d.index] = d;\n\nconst commenter = [];\nconst veille = [];\nconst toLog = [];\nconst runDate = new Date().toISOString().slice(0, 10);\n\nfor (const p of posts) {\n  const d = byIndex[p.index] || { categorie: 'SKIP', interet: 0, raison: 'non classé' };\n  toLog.push({ postId: p.postId, author: p.author, url: p.url, categorie: d.categorie, interet: d.interet, date: runDate });\n  const enriched = { ...p, ...d };\n  if (d.categorie === 'COMMENTER') commenter.push(enriched);\n  else if (d.categorie === 'VEILLE') veille.push(enriched);\n}\ncommenter.sort((a, b) => (b.interet || 0) - (a.interet || 0));\nveille.sort((a, b) => (b.interet || 0) - (a.interet || 0));\nreturn [{ json: { commenter, veille, toLog, runDate, totalNouveaux: posts.length } }];"
      },
      "id": "35d9b730-7ed5-4af7-bd76-07309df16707",
      "name": "Scinder Commenter / Veille",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        2896,
        240
      ]
    },
    {
      "parameters": {
        "operation": "appendOrUpdate",
        "documentId": {
          "__rl": true,
          "value": "1NvgtiwfgwKRjsm025O3qlXnUcw6QffZpVLI1_4IAHLc",
          "mode": "id"
        },
        "sheetName": {
          "__rl": true,
          "value": "Historique",
          "mode": "name"
        },
        "columns": {
          "mappingMode": "autoMapInputData",
          "matchingColumns": [
            "postId"
          ],
          "value": {}
        },
        "options": {}
      },
      "id": "587e57f1-6c15-4fe4-bc95-9308f6282cf2",
      "name": "Écrire dans historique",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4.5,
      "position": [
        3120,
        480
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "EvORDqxqhAIKRlIW",
          "name": "Google Sheets account"
        }
      },
      "notes": "Marque tous les posts traités comme 'vus' pour ne pas les reproposer demain."
    },
    {
      "parameters": {
        "jsCode": "// Sépare le tableau toLog en items individuels pour l'écriture Sheets.\nreturn $json.toLog.map(r => ({ json: r }));"
      },
      "id": "23c47048-08bc-47f4-980a-9895f6c78b14",
      "name": "Éclater pour log",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        2896,
        480
      ]
    },
    {
      "parameters": {
        "jsCode": "// Construit l'email HTML avec 2 sections.\nfunction esc(s) { return String(s || '').replace(/&/g,'&amp;').replace(/</g,'&lt;').replace(/>/g,'&gt;'); }\nconst d = $json;\nconst card = (p, type) => {\n  const meta = type === 'commenter'\n    ? `Angle : <strong>${esc(p.angle)}</strong>` + (p.brouillon ? `<br><em>Brouillon : « ${esc(p.brouillon)} »</em>` : '')\n    : `Tag : <strong>${esc(p.tag)}</strong>`;\n  return `<tr><td style=\"padding:12px;border-bottom:1px solid #eee;\">\n    <div style=\"font-size:13px;color:#888;\">${esc(p.author)} · ❤ ${p.likes} · 💬 ${p.comments} · intérêt ${p.interet}/5</div>\n    <div style=\"margin:6px 0;\">${esc(p.text).slice(0,240)}…</div>\n    <div style=\"font-size:13px;color:#555;\">${esc(p.raison)}</div>\n    <div style=\"font-size:13px;margin-top:4px;\">${meta}</div>\n    <a href=\"${esc(p.url)}\" style=\"font-size:13px;color:#0a66c2;\">Voir le post →</a>\n  </td></tr>`;\n};\nconst section = (titre, emoji, arr, type) => arr.length\n  ? `<h2 style=\"font-family:Arial;font-size:18px;color:#0a66c2;\">${emoji} ${titre} (${arr.length})</h2>\n     <table style=\"width:100%;border-collapse:collapse;font-family:Arial;\">${arr.map(p=>card(p,type)).join('')}</table>`\n  : `<h2 style=\"font-family:Arial;font-size:18px;color:#999;\">${emoji} ${titre} (0)</h2><p style=\"font-family:Arial;color:#999;\">Rien aujourd'hui.</p>`;\nconst html = `<div style=\"max-width:680px;margin:auto;\">\n  <h1 style=\"font-family:Arial;font-size:22px;\">Digest matin — ${d.runDate}</h1>\n  <p style=\"font-family:Arial;color:#666;\">${d.totalNouveaux} nouveaux posts analysés · ${d.commenter.length} à commenter · ${d.veille.length} en veille.</p>\n  ${section('À commenter', '💬', d.commenter, 'commenter')}\n  ${section('Veille', '🔍', d.veille, 'veille')}\n  <p style=\"font-family:Arial;font-size:12px;color:#aaa;margin-top:24px;\">Généré automatiquement · Linked Connexion · Agents 50 + 42</p>\n</div>`;\nreturn [{ json: { html, subject: `Digest matin ${d.runDate} — ${d.commenter.length} à commenter, ${d.veille.length} en veille` } }];"
      },
      "id": "3d067f5f-d1da-4f40-bc97-7a38bab09367",
      "name": "Construire l'email HTML",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        3120,
        240
      ]
    },
    {
      "parameters": {
        "amount": 8,
        "unit": "hours"
      },
      "id": "1623d8ee-61ea-45b1-9653-fca0cd08ecc2",
      "name": "Attendre jusqu'à 8h00",
      "type": "n8n-nodes-base.wait",
      "typeVersion": 1.1,
      "position": [
        3344,
        240
      ],
      "webhookId": "001a2e37-298d-4df6-a84e-38dc087c227e",
      "notes": "Le pipeline démarre à 6h ; on attend la fenêtre d'envoi de 8h. Remplaçable par 'Wait until a specified time' = 08:00."
    },
    {
      "parameters": {
        "sendTo": "fabien@fabien-massavie.com",
        "subject": "={{ $json.subject }}",
        "message": "={{ $json.html }}",
        "options": {}
      },
      "id": "8b408f72-8bc4-41d5-be72-405e0cf3f801",
      "name": "Envoyer le digest (Gmail)",
      "type": "n8n-nodes-base.gmail",
      "typeVersion": 2.1,
      "position": [
        3568,
        240
      ],
      "webhookId": "fc06f178-d3c7-477a-9ac3-bed6f6a6ef31"
    }
  ],
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            "timestamp": 1782404287736
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          "text": "Today we’re bringing skills to Copilot for Excel, giving teams a new way to scale their expertise across every workbook.\n\nRead more: https://lnkd.in/gVZFdCiN",
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            "date": "2026-06-24 22:11:59",
            "relative": "1 day ago • Visible to anyone on or off LinkedIn",
            "timestamp": 1782331919405
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          "text": "Medical diagnostic yields can be improved by reanalyzing genomic data in rare disease cases. But normally this is a very burdensome manual process. Today in Nature Medicine, we present Talos, an open-source tool that in iterative monthly reanalysis reduces the burden to 1 variant per 200 cases. For example, applying this to a cohort of 4,735 undiagnosed individuals resulted in 241 diagnoses. https://lnkd.in/gPkKRiam",
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          "text": "Just wrapped our quarterly earnings call. \n\nWe are focused on delivering AI infrastructure and solutions that empower every business to eval-max their outcomes in this agentic computing era. \n\nOur AI business surpassed a $37 billion annual revenue run rate, up 123%.\n\nWe are at the beginning of one of the most consequential platform shifts that will change the entire tech stack as we move from end-user driven workloads to workloads driven by end-users and agents. \n\nThis will drive TAM expansion and change the value creation equation across the entire economy. \n\nTo capture this opportunity, we are executing against two major priorities:\n\nFirst, we are building the world’s leading AI infrastructure and agent platform as agents proliferate and become the dominant workload. \n\nAll up, we added another gigawatt of capacity this quarter, and remain on track to double our overall footprint in just two years.\n\nWe are moving aggressively to add capacity aligned to customer demand.\n\nWhen it comes to our agent app platform, our multi-model offerings are gaining momentum.\n\n10,000 customers have used more than one model on Foundry. 5,000 have used OSS models.\n\nAnd our IQ layers, spanning M365, Fabric, and Foundry, provide an unmatched context engine for thousands of customers using agents or building their own.\n\nSecond, we are building high-value agentic systems across core domains, such as productivity, coding, and security.\n\nIn knowledge work, we had our fastest growth since launch and now have over 20 million M365 Copilot seats.\n\nAnd so cool to see weekly Copilot engagement on par with Outlook. It’s truly becoming a habit!\n\nIn coding, nearly 140,000 orgs now use GitHub Copilot, and we are also seeing rapid adoption of GitHub Copilot CLI, with usage nearly doubling month-over-month\n\nIn security, 2X increase in Security Copilot customers year-over-year. \n\nYou can read more about our results here: https://lnkd.in/gc6t-bc5",
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