{ "nodes": [ { "id": "55b32b5a-3320-4e6e-acae-9a960b30eae0", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ 1568, 224 ], "parameters": { "color": 7, "width": 1024, "height": 240, "content": "## Need more advanced automation solutions? Contact us for custom enterprise workflows!\n\n# Growth-AI.fr\n\n## https://www.linkedin.com/in/allanvaccarizi/\n## https://www.linkedin.com/in/hugo-marinier-%F0%9F%A7%B2-6537b633/" }, "typeVersion": 1 }, { "id": "4871a388-e7ea-46ee-a366-97b4d7b4bce3", "name": "Sticky Note16", "type": "n8n-nodes-base.stickyNote", "position": [ 1568, -224 ], "parameters": { "width": 1024, "height": 400, "content": "![Logo Growth AI](https://cdn.prod.website-files.com/6825df5b20329ba581df4914/68d413c43f8729fa336568a6_Logo_horizontal.png)" }, "typeVersion": 1 }, { "id": "46ac9a16-dfbb-4583-9b62-44d79eccba4f", "name": "Sticky Note21", "type": "n8n-nodes-base.stickyNote", "position": [ 1008, 448 ], "parameters": { "color": 2, "width": 480, "height": 176, "content": "![Query Table](https://cdn.prod.website-files.com/6825df5b20329ba581df4914/69c26981fe656b39959e5ace_Capture%20d%27%C3%A9cran%202026-03-24%20113742.png)" }, "typeVersion": 1 }, { "id": "4913d4bc-5db1-453f-9825-04625f26ed0a", "name": "When Schedule Triggers", "type": "n8n-nodes-base.scheduleTrigger", "position": [ 1072, 848 ], "parameters": { "rule": { "interval": [ {} ] } }, "typeVersion": 1.2 }, { "id": "94097653-0e95-47d5-ad66-3a2920249458", "name": "Send TikTok Report by Email", "type": "n8n-nodes-base.gmail", "notes": "Send dahsboard with top 10 of the most engaging post ", "position": [ 2400, 848 ], "parameters": { "sendTo": "user@example.com", "message": "=\n\n\n \n \n Trends Social Media - {{ $('Loop Over TikTok Queries').first().json.Query }}\n \n\n\n
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\ud83d\udcca R\u00e9capitulatif par Hashtag

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Scores totaux par r\u00e9seau social

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HashtagTikTokRedditInstagramScore Total
\n #{{ $('Loop Over TikTok Queries').first().json.Query }}\n \n {{ $('Rank TikTok Posts1').all().filter(item => item.json.source === 'TikTok').reduce((sum, item) => sum + item.json.score, 0).toLocaleString('fr-FR') }}\n \n {{ $('Rank TikTok Posts1').all().filter(item => item.json.source === 'Reddit').reduce((sum, item) => sum + item.json.score, 0).toLocaleString('fr-FR') }}\n \n {{ $('Rank TikTok Posts1').all().filter(item => item.json.source === 'Instagram').reduce((sum, item) => sum + item.json.score, 0).toLocaleString('fr-FR') }}\n \n {{ $('Rank TikTok Posts1').all().reduce((sum, item) => sum + item.json.score, 0).toLocaleString('fr-FR') }}\n
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#{{ $('Loop Over TikTok Queries').first().json.Query }}
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\n \n \n \n \n \n \n \n \n \n \n \n \n \n {{ $('Rank TikTok Posts1').all().map(item => `\n \n \n \n \n \n \n \n \n `).join('') }}\n \n
RangSourceAuteurContenuScoreLevel
\n ${item.json.rank}\n \n ${item.json.source}\n \n ${item.json.author}\n \n
${item.json.content}
\n 		\n ${item.json.score.toLocaleString('fr-FR')}\n \n ${item.json.level}\n
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\n\n", "options": {}, "subject": "Social media monitoring" }, "credentials": { "gmailOAuth2": { "name": "" } }, "executeOnce": true, "notesInFlow": true, "typeVersion": 2.1 }, { "id": "9efb06ca-39fa-48e1-b9b1-5744b6a67e5c", "name": "Scrape TikTok via Apify", "type": "n8n-nodes-base.httpRequest", "notes": "Post the request on apify", "position": [ 1744, 848 ], "parameters": { "url": "https://api.apify.com/v2/acts/clockworks~tiktok-scraper/run-sync-get-dataset-items", "method": "POST", "options": {}, "jsonBody": "={\n \"hashtags\": [\"{{ $json.Query.replace(/\\s+/g, '') }}\"],\n \"resultsPerPage\": 50,\n \"oldestPostDateUnified\": \"7 days\"\n}", "sendBody": true, "sendHeaders": true, "specifyBody": "json", "authentication": "predefinedCredentialType", "headerParameters": { "parameters": [ { "name": "Content-Type", "value": "application/json" } ] }, "nodeCredentialType": "apifyApi" }, "credentials": { "apifyApi": { "name": "" }, "httpHeaderAuth": { "name": "" } }, "executeOnce": false, "notesInFlow": true, "retryOnFail": true, "typeVersion": 4.2 }, { "id": "ef644544-31a8-48de-a8b6-72f91b36a77a", "name": "Score and Sort TikTok Posts", "type": "n8n-nodes-base.code", "notes": "Sorts posts", "position": [ 1984, 848 ], "parameters": { "jsCode": "// Code pour n\u0153ud Code n8n - Classement TikTok avec score personnalis\u00e9\n// R\u00e9cup\u00e9rer les donn\u00e9es d'entr\u00e9e\nconst items = $input.all();\n\n// V\u00e9rifier si on a des donn\u00e9es\nif (!items || items.length === 0) {\n console.log(\"\u274c Aucune donn\u00e9e d'entr\u00e9e trouv\u00e9e\");\n return [];\n}\n\n// Extraire les posts TikTok du JSON\nlet posts = [];\n\n// Si les donn\u00e9es sont dans un tableau \u00e0 l'int\u00e9rieur du premier item\nif (items[0] && items[0].json && Array.isArray(items[0].json)) {\n posts = items[0].json;\n} \n// Si les donn\u00e9es sont directement dans les items\nelse if (Array.isArray(items)) {\n posts = items.map(item => item.json);\n}\n\nconsole.log(`\ud83d\udce5 ${posts.length} posts TikTok trouv\u00e9s`);\n\n// Calculer le score pour chaque post TikTok\nconst postsWithScore = posts.map((post, index) => {\n // M\u00e9triques TikTok\n const likes = post.diggCount || 0;\n const comments = post.commentCount || 0;\n const shares = post.shareCount || 0;\n const views = post.playCount || 0;\n \n // Calcul du score : (likes * 1) + (comments * 2) + (shares * 3) + (views / 1000)\n const likesScore = likes * 1;\n const commentsScore = comments * 2;\n const sharesScore = shares * 3;\n const viewsScore = Math.floor(views / 1000);\n const totalScore = likesScore + commentsScore + sharesScore + viewsScore;\n \n return {\n json: {\n url: post.webVideoUrl || `https://www.tiktok.com/@${post.authorMeta?.name}/video/${post.id}`,\n caption: post.text || \"Pas de caption\",\n score: totalScore,\n // Donn\u00e9es d\u00e9taill\u00e9es pour debug (optionnel)\n details: {\n likes: likes,\n comments: comments,\n shares: shares,\n views: views,\n author: post.authorMeta?.name || \"Inconnu\",\n id: post.id\n }\n }\n };\n}).filter(post => post.json.url); // Filtrer les posts sans URL\n\nconsole.log(`\u2705 ${postsWithScore.length} posts trait\u00e9s avec succ\u00e8s`);\n\n// Trier par score d\u00e9croissant\nconst sortedPosts = postsWithScore.sort((a, b) => b.json.score - a.json.score);\n\n// Prendre les 10 meilleurs\nconst topPosts = sortedPosts.slice(0, 10);\n\n// Ajouter un rang \u00e0 chaque post\nconst rankedPosts = topPosts.map((post, index) => ({\n json: {\n rank: index + 1,\n url: post.json.url,\n caption: post.json.caption,\n score: post.json.score\n }\n}));\n\n// Retourner les r\u00e9sultats avec le format demand\u00e9 : url, caption, score\nreturn rankedPosts;" }, "notesInFlow": true, "typeVersion": 2 }, { "id": "f57ac21e-eaf9-455c-812e-c34572957f7f", "name": "Loop Over TikTok Queries", "type": "n8n-nodes-base.splitInBatches", "position": [ 1520, 848 ], "parameters": { "options": {} }, "typeVersion": 3 }, { "id": "731ab30b-110f-424a-a071-c5ad15023cd2", "name": "Sticky Note14", "type": "n8n-nodes-base.stickyNote", "position": [ 464, 512 ], "parameters": { "width": 480, "height": 896, "content": "## Trend monitoring TikTok\n\n### How it works\n\n1. A schedule trigger fires the workflow at regular intervals and retrieves a list of search queries from a data table.\n2. Each query is looped over in batches, and for each one, a POST request is sent to the Apify TikTok scraper API to fetch recent posts.\n3. The raw API results are sorted and scored using a custom ranking algorithm, then a final classification step is applied.\n4. The ranked results are saved back to a data table for storage and simultaneously sent out via Gmail as a message.\n5. After the email is sent, the loop continues to the next batch of queries until all are processed.\n\n### Setup steps\n\n- - [ ] Configure the **Reddit Schedule Trigger1** node with the desired run frequency (e.g., daily, hourly).\n- - [ ] Set up the **Reddit Get row(s)1** data table node with the correct table/sheet containing the list of queries to process.\n- - [ ] Add your Apify API key to the **Tiktok get posts solo1** HTTP Request node (POST to `https://api.apify.com/v2/acts/clockworks...`).\n- - [ ] Connect a Gmail account to the **Reddit Send a message1** node and configure the recipient, subject, and message body.\n- - [ ] Configure the **Reddot Push to data table1** node to point to the correct destination table where ranked results should be stored.\n- - [ ] Review and adjust the scoring logic in **Sort TikTok solo1** and **Classement Instagram** code nodes to match your ranking criteria.\n\n### Customization\n\nThe custom scoring formula in the `Sort TikTok solo1` and `Classement Instagram` code nodes can be adjusted to weight engagement metrics (likes, views, comments) differently. The batch size in `TikTok Loop Over Query1` can be tuned to control API request rate." }, "typeVersion": 1 }, { "id": "38bf052a-7107-4293-bc86-b41d12948e83", "name": "Sticky Note15", "type": "n8n-nodes-base.stickyNote", "position": [ 1024, 688 ], "parameters": { "color": 7, "width": 384, "height": 320, "content": "## Schedule trigger and query fetch\n\nA schedule trigger initiates the workflow and retrieves the list of queries to process from a data table." }, "typeVersion": 1 }, { "id": "bd69a5b9-7359-43a1-a2be-b42b85905e96", "name": "Sticky Note19", "type": "n8n-nodes-base.stickyNote", "position": [ 1472, 688 ], "parameters": { "color": 7, "width": 416, "height": 320, "content": "## Loop and fetch TikTok posts\n\nIterates over each query in batches and calls the Apify TikTok scraper API to retrieve recent posts for each query." }, "typeVersion": 1 }, { "id": "871a466f-a25e-48b9-bbf3-2fdaf839a7d1", "name": "Sticky Note20", "type": "n8n-nodes-base.stickyNote", "position": [ 1936, 688 ], "parameters": { "color": 7, "width": 384, "height": 320, "content": "## Sort and rank posts\n\nApplies a custom scoring algorithm to sort TikTok posts, then performs a final classification/ranking step on the results." }, "typeVersion": 1 }, { "id": "1524197f-3624-42df-af14-de36d5f6d10d", "name": "Sticky Note23", "type": "n8n-nodes-base.stickyNote", "position": [ 2352, 512 ], "parameters": { "color": 7, "height": 496, "content": "## Save results and notify\n\nStores the ranked results in a data table for persistence and sends the results via Gmail as a notification message." }, "typeVersion": 1 }, { "id": "67f547d3-234b-48c4-a0e4-f22c68cddf50", "name": "Rank TikTok Posts1", "type": "n8n-nodes-base.code", "notes": "Sorts all posts + give them points depending on their likes + comments", "position": [ 2176, 848 ], "parameters": { "jsCode": "// Code pour n\u0153ud Code n8n - Classement TikTok\n// R\u00e9cup\u00e9rer le keyword dynamiquement\nconst keyword = $('Loop Over TikTok Queries').first().json.Query;\n\n// R\u00e9cup\u00e9rer les donn\u00e9es du n\u0153ud pr\u00e9c\u00e9dent\nconst tiktokData = $('Score and Sort TikTok Posts').all();\n\n// Fonction pour d\u00e9terminer le level bas\u00e9 sur le score\nfunction getLevel(score) {\n if (score >= 10000) return 'High';\n if (score >= 1000) return 'Medium';\n return 'Low';\n}\n\n// Fonction pour extraire l'auteur TikTok\nfunction getAuthor(item) {\n const tiktokMatch = item.url.match(/tiktok\\.com\\/@([^\\/]+)/);\n return tiktokMatch ? `@${tiktokMatch[1]}` : '@inconnu';\n}\n\n// Transformer les donn\u00e9es TikTok\nconst tiktokPosts = tiktokData.map(item => ({\n json: {\n source: 'TikTok',\n keyword: keyword,\n author: getAuthor(item.json),\n content: (item.json.caption || 'Pas de caption').substring(0, 50) + '...',\n score: item.json.score,\n level: getLevel(item.json.score),\n url: item.json.url,\n originalRank: item.json.rank\n }\n}));\n\n// Trier par score d\u00e9croissant\nconst sortedPosts = tiktokPosts.sort((a, b) => b.json.score - a.json.score);\n\n// Ajouter le rang\nconst rankedPosts = sortedPosts.map((post, index) => ({\n json: {\n ...post.json,\n rank: index + 1,\n date: new Date().toISOString().split('T')[0]\n }\n}));\n\n// Prendre le top 15\nconst topPosts = rankedPosts.slice(0, 15);\n\nreturn topPosts;" }, "notesInFlow": true, "typeVersion": 2 }, { "id": "7ff09b4e-f990-4d7c-8496-40b6e0674642", "name": "Get Queries from Table1", "type": "n8n-nodes-base.dataTable", "position": [ 1264, 848 ], "parameters": { "operation": "get", "returnAll": true, "dataTableId": { "__rl": true, "mode": "list", "value": "BYMzHVIbNU0mmvAZ", "cachedResultUrl": "/projects/oTpNUA7ZOCuhiQA0/datatables/BYMzHVIbNU0mmvAZ", "cachedResultName": "Query social media" } }, "typeVersion": 1 }, { "id": "ab6b8fd2-5171-4273-8a0e-898a8558f009", "name": "Save Rankings to Table1", "type": "n8n-nodes-base.dataTable", "position": [ 2400, 720 ], "parameters": { "columns": { "value": { "url": "={{ $json.url }}", "Date": "={{ $now.toISO() }}", "rank": "={{ $json.rank }}", "level": "={{ $json.level }}", "score": "={{ $json.score }}", "author": "={{ $json.author }}", "source": "={{ $json.source }}", "content": "={{ $json.content }}", "keyword": "={{ $json.keyword }}" }, "schema": [ { "id": "rank", "type": "number", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "rank", "defaultMatch": false }, { "id": "keyword", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "keyword", "defaultMatch": false }, { "id": "source", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "source", "defaultMatch": false }, { "id": "author", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "author", "defaultMatch": false }, { "id": "content", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "content", "defaultMatch": false }, { "id": "score", "type": "number", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "score", "defaultMatch": false }, { "id": "level", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "level", "defaultMatch": false }, { "id": "url", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "url", "defaultMatch": false }, { "id": "Date", "type": "dateTime", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "Date", "defaultMatch": false } ], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {}, "dataTableId": { "__rl": true, "mode": "list", "value": "75Jvx9ALCoEGcdwY", "cachedResultUrl": "/projects/oTpNUA7ZOCuhiQA0/datatables/75Jvx9ALCoEGcdwY", "cachedResultName": "Trend Social media" } }, "typeVersion": 1 } ], "connections": { "Rank TikTok Posts1": { "main": [ [ { "node": "Send TikTok Report by Email", "type": "main", "index": 0 }, { "node": "Save Rankings to Table1", "type": "main", "index": 0 } ] ] }, "When Schedule Triggers": { "main": [ [ { "node": "Get Queries from Table1", "type": "main", "index": 0 } ] ] }, "Get Queries from Table1": { "main": [ [ { "node": "Loop Over TikTok Queries", "type": "main", "index": 0 } ] ] }, "Scrape TikTok via Apify": { "main": [ [ { "node": "Score and Sort TikTok Posts", "type": "main", "index": 0 } ] ] }, "Loop Over TikTok Queries": { "main": [ [], [ { "node": "Scrape TikTok via Apify", "type": "main", "index": 0 } ] ] }, "Score and Sort TikTok Posts": { "main": [ [ { "node": "Rank TikTok Posts1", "type": "main", "index": 0 } ] ] }, "Send TikTok Report by Email": { "main": [ [ { "node": "Loop Over TikTok Queries", "type": "main", "index": 0 } ] ] } } }