{ "updatedAt": "2026-01-06T12:50:54.731Z", "createdAt": "2025-11-26T14:54:28.156Z", "id": "TmIV9kJgU673IsL3", "name": "LLMS_Query_Links_stabilisation", "description": null, "active": false, "isArchived": true, "nodes": [ { "parameters": { "httpMethod": "POST", "path": "77b4d30b-cf0b-4297-8206-be86d0d4d52e", "options": {} }, "type": "n8n-nodes-base.webhook", "typeVersion": 2, "position": [ -656, 240 ], "id": "7040b11b-5941-4bc6-9aae-c63db2baf001", "name": "Waiting for Topic" }, { "parameters": { "jsCode": "// This runs for every incoming item\nreturn items.map(item => {\n const text = $input.first().json.body.topic; // replace with the actual field name\n\n // Split off the \"Example Vendors\" part\n const [mainPart, vendorsPart = ''] = text.split('|').map(s => s.trim());\n\n // Extract topic and definition\n const [topic = '', definition = ''] = mainPart.split(' - ').map(s => s.trim());\n\n // Clean up and split the vendors list\n const exampleVendors = vendorsPart\n .replace(/^Example Vendors:\\s*/i, '')\n .split(',')\n .map(v => v.trim())\n .filter(v => v);\n\n return {\n json: {\n topic,\n definition,\n exampleVendors\n }\n };\n});\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ -320, 240 ], "id": "097f7e6b-50c8-45f6-9143-514d7a55cd95", "name": "Code" }, { "parameters": { "table": { "__rl": true, "value": "Topic", "mode": "list", "cachedResultName": "Topic" }, "dataMode": "defineBelow", "valuesToSend": { "values": [ { "column": "name", "value": "={{ $('Code').item.json.topic }}" }, { "column": "frequency", "value": "={{ $('Waiting for Topic').item.json.body.frequency }}" }, { "column": "search_top_x", "value": "={{ $('Waiting for Topic').item.json.body.searchTopX }}" }, { "column": "user_id", "value": "={{ $('Waiting for Topic').item.json.body.userId }}" }, { "column": "last_execution", "value": "={{ $('Waiting for Topic').item.json.body.search_datetime }}" }, { "column": "is_newsletter", "value": "0" } ] }, "options": {} }, "type": "n8n-nodes-base.mySql", "typeVersion": 2.4, "position": [ 320, 368 ], "id": "4164d0aa-6ca4-4d73-b7c2-e016ea20643f", "name": "Inserting New Topic to Database", "credentials": { "mySql": { "name": "" } } }, { "parameters": { "operation": "select", "table": { "__rl": true, "value": "Topic", "mode": "list", "cachedResultName": "Topic" }, "limit": 1, "where": { "values": [ { "column": "name", "value": "={{ $('Code').item.json.topic }}" }, { "column": "user_id", "value": "={{ $('Waiting for Topic').item.json.body.userId }}" }, { "column": "last_execution", "value": "={{ $('Waiting for Topic').item.json.body.search_datetime }}" } ] }, "options": {} }, "type": "n8n-nodes-base.mySql", "typeVersion": 2.4, "position": [ 560, 368 ], "id": "e032cb58-1b32-4c8a-adec-2cc11aa026fb", "name": "Retrieving New Topic ID", "credentials": { "mySql": { "name": "" } } }, { "parameters": { "jsCode": "// Access the first item from the input\nconst webhookData = $('Waiting for Topic').first().json.body;\nconst idtopic = $input.first().json.id;\n\n// Frequency mapping function\nfunction mapFrequency(freq) {\n if (freq.toLowerCase() === \"daily\") return \"d\";\n if (freq.toLowerCase() === \"weekly\") return \"w\";\n if (freq.toLowerCase() === \"monthly\") return \"m\";\n return freq; // Return original if not matched\n}\n\n// Extracting values\nconst user_id = webhookData.user_id;\nconst topic = $('Code').first().json.topic;\nconst topicDescription = $('Code').first().json.definition; // \u2190 new\nconst email = webhookData.email;\nconst top_k = webhookData.top_k;\nconst frequency = mapFrequency(webhookData.frequency);\nconst searchDatetime = webhookData.search_datetime;\n\n// Return these values so they can be used by subsequent nodes\nreturn [\n {\n json: {\n user_id,\n topic,\n topicDescription, // \u2190 included here\n email,\n top_k,\n frequency,\n searchDatetime,\n idtopic,\n },\n },\n];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 800, 368 ], "id": "7a138697-0a96-48c7-aead-e66639a711d8", "name": "Preparing New Input variables" }, { "parameters": { "fieldsToAggregate": { "fieldToAggregate": [ { "fieldToAggregate": "topic" }, { "fieldToAggregate": "email" }, { "fieldToAggregate": "frequency" }, { "fieldToAggregate": "searchDatetime" }, { "fieldToAggregate": "idtopic" }, { "fieldToAggregate": "topicDescription" } ] }, "options": {} }, "type": "n8n-nodes-base.aggregate", "typeVersion": 1, "position": [ 992, 272 ], "id": "fe63cffe-e919-43c7-a69d-cc29a883edc4", "name": "Aggregating Input Variables" }, { "parameters": { "operation": "select", "table": { "__rl": true, "value": "Topic", "mode": "list", "cachedResultName": "Topic" }, "limit": 1, "where": { "values": [ { "column": "user_id", "value": "={{ $('Waiting for Topic').item.json.body.userId }}" }, { "column": "name", "value": "={{ $('Code').item.json.topic }}" } ] }, "options": { "detailedOutput": true } }, "type": "n8n-nodes-base.mySql", "typeVersion": 2.4, "position": [ -48, 240 ], "id": "a38f33b9-14bd-45a7-884e-3d9ffb68ef9b", "name": "Check Existence of the Topic", "credentials": { "mySql": { "name": "" } } }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "cc270b1f-4867-4312-87ed-677d9e35aa5e", "leftValue": "={{ $json.data }}", "rightValue": "", "operator": { "type": "array", "operation": "notEmpty", "singleValue": true } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.if", "typeVersion": 2.2, "position": [ 144, 240 ], "id": "9b783d52-9776-4cf7-9277-f7d243276e1b", "name": "Check existence of the Received Topic" }, { "parameters": { "jsCode": "// Access the first item from the input\nconst webhookData = $('Waiting for Topic').first().json.body;\nconst idtopic = $input.first().json.data[0].id;\n\n// Frequency mapping function\nfunction mapFrequency(freq) {\n if (freq.toLowerCase() === \"daily\") return \"d\";\n if (freq.toLowerCase() === \"weekly\") return \"w\";\n if (freq.toLowerCase() === \"monthly\") return \"m\";\n return freq; // Return original if not matched\n}\n\n// Extracting values\nconst user_id = webhookData.user_id;\nconst topic = $('Code').first().json.topic;\nconst topicDescription = $('Code').first().json.definition; // \u2190 new\nconst email = webhookData.email;\nconst top_k = webhookData.top_k;\nconst frequency = mapFrequency(webhookData.frequency);\nconst searchDatetime = webhookData.search_datetime;\n\n// Return these values so they can be used by subsequent nodes\nreturn [\n {\n json: {\n user_id,\n topic,\n topicDescription, // \u2190 included here\n email,\n top_k,\n frequency,\n searchDatetime,\n idtopic,\n },\n },\n];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 544, 32 ], "id": "55aad3aa-bca3-41e1-998a-031d403b4efd", "name": "Preparing Input Variables" }, { "parameters": { "model": { "__rl": true, "value": "gpt-5.1", "mode": "list", "cachedResultName": "gpt-5.1" }, "options": { "timeout": 600000 } }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ 2016, -272 ], "id": "92912fe1-2b4b-434f-8337-46cdd1886e16", "name": "OpenAI Chat Model", "credentials": { "openAiApi": { "name": "" } } }, { "parameters": { "command": "=python3 /home/node/.n8n/scripts/searcher_link.py '{{ $json.text.replace(/\"/g, \"\").trim() }}'\n" }, "type": "n8n-nodes-base.executeCommand", "typeVersion": 1, "position": [ 2512, -560 ], "id": "04bd60c1-6886-4f4f-96e7-29c9df1f2673", "name": "Searching Links", "onError": "continueRegularOutput" }, { "parameters": { "jsCode": "// Replace \"stdout\" with your actual field name containing the JSON array of { link, title } objects\nconst jsonString = $input.first().json.stdout;\nif (!jsonString) {\n return [];\n}\n\nlet parsedData;\ntry {\n parsedData = JSON.parse(jsonString);\n} catch (error) {\n // If it's not valid JSON or fails to parse, return an empty array\n return [];\n}\n\n// Ensure parsedData is an array before we iterate\nif (!Array.isArray(parsedData)) {\n return [];\n}\n\n// Create a new array of items, each with a \"url\" and \"title\"\nreturn parsedData.map(item => {\n return {\n json: {\n url: item.link || \"\",\n title: item.title || \"\"\n }\n };\n});\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 2800, -400 ], "id": "cc70bc19-4de1-47eb-a556-05b706d68e1b", "name": "Preparing Links to Looping" }, { "parameters": { "options": {} }, "type": "n8n-nodes-base.splitInBatches", "typeVersion": 3, "position": [ 1888, -592 ], "id": "cdcfc2ab-ff82-4a1e-9c91-8eef78f28be2", "name": "Loop Over Items" }, { "parameters": {}, "type": "n8n-nodes-base.noOp", "name": "Replace Me", "typeVersion": 1, "position": [ 3280, -208 ], "id": "77d991a2-6909-4e0a-b84e-ab21a4d8f242" }, { "parameters": { "aggregate": "aggregateAllItemData", "destinationFieldName": "={{ $json.url }}\n{{ $json.title }}", "options": {} }, "type": "n8n-nodes-base.aggregate", "typeVersion": 1, "position": [ 3072, -656 ], "id": "812319fd-2b02-4038-8937-a1e5cd392da3", "name": "Aggregate1" }, { "parameters": { "promptType": "define", "text": "=\nUser Goal: {{ $json.topic }} \n\nQueries:\n(Provide 6-10 queries below, following the guidelines above. Each should naturally include mentions of \u201cAI\u201d or \u201cgenerative AI,\u201d and focus on finding suppliers or vendors in the given domain.)\nthe answer must respect this format : \"\"Query1,Query2,Query3,..,QueryN\"\"\n\nrule : you response must be between only 2 quotes not 3\nMust : the format of the output must be like \"\"Queries\"\"", "messages": { "messageValues": [ { "message": "=You are an expert in crafting highly optimized search queries for Google's SERP API. Your task is to generate 10 search queries to collect information related to suppliers or vendors offering solutions powered by AI or generative AI related to the user\u2019s specified topic. \ud83d\udd39 Instructions & Best Practices: User\u2019s Topic -> The user will provide : a topic that either matches an IT domain recognized by leading IT analysts such as Gartner group (e.g., Intelligent Document Processing (IDP), etc.) Or a topic that corresponds to more detailed IT function (example : \u2018Audit CCTP\u2019 Focus: The queries must revolve around finding suppliers offering AI-driven or generative AI solutions in that topic area. Natural Language: Ensure the queries read like typical Google searches (no advanced operators like site:, intitle:, inurl:, etc.). Diversity: Provide queries that explore different angles\u2014such as solution providers value proposition, client case studies and implementation strategies, solutions benchmark in term of pricing and functions, , , or industry trends. Concise & Precise: Keep each query short (max 10 words) yet descriptive for optimal search results. \ud83d\udd39Example : #Input : query for topic that matches an IT domain recognized by leading IT analysts such as Gartner group such as \u00ab Intelligent Document Processing (IDP), etc.) \u00bb \u00ab Les solutions d\u2019Intelligent Document Processing. \u00bb #Output : Query 1 : software providers Intelligent Document Processing AI Query 2 : client success story Intelligent Document Processing AI Query 3 : benchmark Intelligent Document Processing AI Query 4 : implementation Intelligent Document Processing AI \ud83d\udd39 Generate 10 Structured Search Queries rule : you response must be between only 2 quotes not 3" } ] }, "batching": {} }, "type": "@n8n/n8n-nodes-langchain.chainLlm", "typeVersion": 1.7, "position": [ 2176, -496 ], "id": "bb109c43-f4a4-4db1-8f51-36f962864d28", "name": "Generating Queries GPT-5.0" }, { "parameters": { "jsCode": "// R\u00e9cup\u00e9rer tous les items\nconst allItems = $input.all();\n\nconsole.log('Total items re\u00e7us:', allItems.length);\n\n// Afficher la structure de chaque item pour debug\nallItems.forEach((item, index) => {\n console.log(`Item ${index}:`, JSON.stringify(item.json, null, 2));\n});\n\nconst allUrls = [];\n\n// Essayer diff\u00e9rentes structures possibles\nfor (const item of allItems) {\n console.log('Keys dans item.json:', Object.keys(item.json));\n \n // Structure 1: url directement\n if (item.json.url) {\n allUrls.push({\n url: item.json.url,\n title: item.json.title || ''\n });\n }\n // Structure 2: tableau d'URLs\n else if (Array.isArray(item.json)) {\n item.json.forEach(urlItem => {\n if (urlItem.url) {\n allUrls.push({\n url: urlItem.url,\n title: urlItem.title || ''\n });\n }\n });\n }\n // Structure 3: objet avec des propri\u00e9t\u00e9s URL\n else {\n // Parcourir toutes les propri\u00e9t\u00e9s de l'objet\n Object.entries(item.json).forEach(([key, value]) => {\n // Si la valeur ressemble \u00e0 une URL\n if (typeof value === 'string' && value.startsWith('http')) {\n allUrls.push({\n url: value,\n title: key\n });\n }\n // Si c'est un tableau\n else if (Array.isArray(value)) {\n value.forEach(v => {\n if (v && v.url) {\n allUrls.push({\n url: v.url,\n title: v.title || ''\n });\n }\n });\n }\n });\n }\n}\n\nconsole.log('URLs trouv\u00e9es:', allUrls.length);\n\nreturn [{\n json: {\n totalUrls: allUrls.length,\n urls: allUrls,\n debugInfo: allItems.map(i => Object.keys(i.json))\n }\n}];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 2304, -800 ], "id": "4a9d1545-6735-4956-8082-d4a4396c3aab", "name": "All Links" }, { "parameters": { "model": { "__rl": true, "value": "gpt-5.1", "mode": "list", "cachedResultName": "gpt-5.1" }, "options": { "timeout": 600000 } }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ 2288, 592 ], "id": "bca6130c-f77a-4823-9025-ace750a30bd5", "name": "OpenAI Chat Model1", "credentials": { "openAiApi": { "name": "" } } }, { "parameters": { "command": "=python3 /home/node/.n8n/scripts/searcher_link.py '{{ $json.text.replace(/\"/g, \"\").trim() }}'\n" }, "type": "n8n-nodes-base.executeCommand", "typeVersion": 1, "position": [ 2496, 304 ], "id": "b6cfd852-9c49-477f-af66-4badbec6573c", "name": "Searching Links1" }, { "parameters": { "jsCode": "// Replace \"stdout\" with your actual field name containing the JSON array of { link, title } objects\nconst jsonString = $input.first().json.stdout;\nif (!jsonString) {\n return [];\n}\n\nlet parsedData;\ntry {\n parsedData = JSON.parse(jsonString);\n} catch (error) {\n // If it's not valid JSON or fails to parse, return an empty array\n return [];\n}\n\n// Ensure parsedData is an array before we iterate\nif (!Array.isArray(parsedData)) {\n return [];\n}\n\n// Create a new array of items, each with a \"url\" and \"title\"\nreturn parsedData.map(item => {\n return {\n json: {\n url: item.link || \"\",\n title: item.title || \"\"\n }\n };\n});\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 2784, 464 ], "id": "89ddaa02-c834-4b68-ac3e-36ca9a6562b1", "name": "Preparing Links to Looping1" }, { "parameters": { "options": {} }, "type": "n8n-nodes-base.splitInBatches", "typeVersion": 3, "position": [ 1872, 272 ], "id": "87a81439-f29e-4bb9-8c5e-4f9fa70a779a", "name": "Loop Over Items1" }, { "parameters": {}, "type": "n8n-nodes-base.noOp", "name": "Replace Me1", "typeVersion": 1, "position": [ 3264, 656 ], "id": "6a11cbe0-f1b1-4e9c-a1a0-5f13fa059d7c" }, { "parameters": { "aggregate": "aggregateAllItemData", "destinationFieldName": "={{ $json.url }}\n{{ $json.title }}", "options": {} }, "type": "n8n-nodes-base.aggregate", "typeVersion": 1, "position": [ 3056, 208 ], "id": "fe2027a6-ea3d-4c4d-bf9a-66c937751c41", "name": "Aggregate" }, { "parameters": { "jsCode": "// R\u00e9cup\u00e9rer tous les items\nconst allItems = $input.all();\n\nconsole.log('Total items re\u00e7us:', allItems.length);\n\n// Afficher la structure de chaque item pour debug\nallItems.forEach((item, index) => {\n console.log(`Item ${index}:`, JSON.stringify(item.json, null, 2));\n});\n\nconst allUrls = [];\n\n// Essayer diff\u00e9rentes structures possibles\nfor (const item of allItems) {\n console.log('Keys dans item.json:', Object.keys(item.json));\n \n // Structure 1: url directement\n if (item.json.url) {\n allUrls.push({\n url: item.json.url,\n title: item.json.title || ''\n });\n }\n // Structure 2: tableau d'URLs\n else if (Array.isArray(item.json)) {\n item.json.forEach(urlItem => {\n if (urlItem.url) {\n allUrls.push({\n url: urlItem.url,\n title: urlItem.title || ''\n });\n }\n });\n }\n // Structure 3: objet avec des propri\u00e9t\u00e9s URL\n else {\n // Parcourir toutes les propri\u00e9t\u00e9s de l'objet\n Object.entries(item.json).forEach(([key, value]) => {\n // Si la valeur ressemble \u00e0 une URL\n if (typeof value === 'string' && value.startsWith('http')) {\n allUrls.push({\n url: value,\n title: key\n });\n }\n // Si c'est un tableau\n else if (Array.isArray(value)) {\n value.forEach(v => {\n if (v && v.url) {\n allUrls.push({\n url: v.url,\n title: v.title || ''\n });\n }\n });\n }\n });\n }\n}\n\nconsole.log('URLs trouv\u00e9es:', allUrls.length);\n\nreturn [{\n json: {\n totalUrls: allUrls.length,\n urls: allUrls,\n debugInfo: allItems.map(i => Object.keys(i.json))\n }\n}];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 2288, 64 ], "id": "10bce842-418c-44a5-ab1d-434acbd72354", "name": "All Links1" }, { "parameters": { "command": "=python3 /home/node/.n8n/scripts/searcher_link.py '{{ $json.text.replace(/\"/g, \"\").trim() }}'\n" }, "type": "n8n-nodes-base.executeCommand", "typeVersion": 1, "position": [ 2480, 1200 ], "id": "02e5c772-c0e0-485f-9969-5b4e0da3c444", "name": "Searching Links2" }, { "parameters": { "jsCode": "// Replace \"stdout\" with your actual field name containing the JSON array of { link, title } objects\nconst jsonString = $input.first().json.stdout;\nif (!jsonString) {\n return [];\n}\n\nlet parsedData;\ntry {\n parsedData = JSON.parse(jsonString);\n} catch (error) {\n // If it's not valid JSON or fails to parse, return an empty array\n return [];\n}\n\n// Ensure parsedData is an array before we iterate\nif (!Array.isArray(parsedData)) {\n return [];\n}\n\n// Create a new array of items, each with a \"url\" and \"title\"\nreturn parsedData.map(item => {\n return {\n json: {\n url: item.link || \"\",\n title: item.title || \"\"\n }\n };\n});\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 2768, 1360 ], "id": "39a31b18-9895-4ac2-83ef-213c571a7ad6", "name": "Preparing Links to Looping2" }, { "parameters": { "options": {} }, "type": "n8n-nodes-base.splitInBatches", "typeVersion": 3, "position": [ 1856, 1168 ], "id": "a0e38d9d-97eb-4116-9c4a-a54a8d691d7c", "name": "Loop Over Items2", "disabled": true }, { "parameters": {}, "type": "n8n-nodes-base.noOp", "name": "Replace Me2", "typeVersion": 1, "position": [ 3248, 1552 ], "id": "70ed9f4e-09ff-4ec4-bf3a-2f47acf0e74c" }, { "parameters": { "aggregate": "aggregateAllItemData", "destinationFieldName": "={{ $json.url }}\n{{ $json.title }}", "options": {} }, "type": "n8n-nodes-base.aggregate", "typeVersion": 1, "position": [ 3040, 1104 ], "id": "a2ba0609-3c52-448f-9d1c-5a125c8a2cbb", "name": "Aggregate2" }, { "parameters": { "jsCode": "// R\u00e9cup\u00e9rer tous les items\nconst allItems = $input.all();\n\nconsole.log('Total items re\u00e7us:', allItems.length);\n\n// Afficher la structure de chaque item pour debug\nallItems.forEach((item, index) => {\n console.log(`Item ${index}:`, JSON.stringify(item.json, null, 2));\n});\n\nconst allUrls = [];\n\n// Essayer diff\u00e9rentes structures possibles\nfor (const item of allItems) {\n console.log('Keys dans item.json:', Object.keys(item.json));\n \n // Structure 1: url directement\n if (item.json.url) {\n allUrls.push({\n url: item.json.url,\n title: item.json.title || ''\n });\n }\n // Structure 2: tableau d'URLs\n else if (Array.isArray(item.json)) {\n item.json.forEach(urlItem => {\n if (urlItem.url) {\n allUrls.push({\n url: urlItem.url,\n title: urlItem.title || ''\n });\n }\n });\n }\n // Structure 3: objet avec des propri\u00e9t\u00e9s URL\n else {\n // Parcourir toutes les propri\u00e9t\u00e9s de l'objet\n Object.entries(item.json).forEach(([key, value]) => {\n // Si la valeur ressemble \u00e0 une URL\n if (typeof value === 'string' && value.startsWith('http')) {\n allUrls.push({\n url: value,\n title: key\n });\n }\n // Si c'est un tableau\n else if (Array.isArray(value)) {\n value.forEach(v => {\n if (v && v.url) {\n allUrls.push({\n url: v.url,\n title: v.title || ''\n });\n }\n });\n }\n });\n }\n}\n\nconsole.log('URLs trouv\u00e9es:', allUrls.length);\n\nreturn [{\n json: {\n totalUrls: allUrls.length,\n urls: allUrls,\n debugInfo: allItems.map(i => Object.keys(i.json))\n }\n}];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 2272, 960 ], "id": "34dc5f55-9d3d-4772-b831-1210bd2bb51a", "name": "All Links2" }, { "parameters": { "promptType": "define", "text": "=\nUser Goal: {{ $json.topic }} \n\nQueries:\n(Provide 6-10 queries below, following the guidelines above. Each should naturally include mentions of \u201cAI\u201d or \u201cgenerative AI,\u201d and focus on finding suppliers or vendors in the given domain.)\nthe answer must respect this format : \"\"Query1,Query2,Query3,..,QueryN\"\"\n\nrule : you response must be between only 2 quotes not 3\nMust : the format of the output must be like \"\"Queries\"\"", "messages": { "messageValues": [ { "message": "=You are an expert in crafting highly optimized search queries for Google's SERP API. Your task is to generate 10 search queries to collect information related to suppliers or vendors offering solutions powered by AI or generative AI related to the user\u2019s specified topic. \ud83d\udd39 Instructions & Best Practices: User\u2019s Topic -> The user will provide : a topic that either matches an IT domain recognized by leading IT analysts such as Gartner group (e.g., Intelligent Document Processing (IDP), etc.) Or a topic that corresponds to more detailed IT function (example : \u2018Audit CCTP\u2019 Focus: The queries must revolve around finding suppliers offering AI-driven or generative AI solutions in that topic area. Natural Language: Ensure the queries read like typical Google searches (no advanced operators like site:, intitle:, inurl:, etc.). Diversity: Provide queries that explore different angles\u2014such as solution providers value proposition, client case studies and implementation strategies, solutions benchmark in term of pricing and functions, , , or industry trends. Concise & Precise: Keep each query short (max 10 words) yet descriptive for optimal search results. \ud83d\udd39Example : #Input : query for topic that matches an IT domain recognized by leading IT analysts such as Gartner group such as \u00ab Intelligent Document Processing (IDP), etc.) \u00bb \u00ab Les solutions d\u2019Intelligent Document Processing. \u00bb #Output : Query 1 : software providers Intelligent Document Processing AI Query 2 : client success story Intelligent Document Processing AI Query 3 : benchmark Intelligent Document Processing AI Query 4 : implementation Intelligent Document Processing AI \ud83d\udd39 Generate 10 Structured Search Queries rule : you response must be between only 2 quotes not 3" } ] }, "batching": {} }, "type": "@n8n/n8n-nodes-langchain.chainLlm", "typeVersion": 1.7, "position": [ 2144, 1264 ], "id": "34d26350-4b53-4da1-977c-3ac8ddc50cf6", "name": "Generating Queries GEMINI-3" }, { "parameters": { "model": "google/gemini-3-pro-preview", "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter", "typeVersion": 1, "position": [ 2000, 1488 ], "id": "cd54869c-bf59-49c6-a19e-20b35bd72f6b", "name": "OpenRouter Chat Model", "credentials": { "openRouterApi": { "name": "" } } }, { "parameters": { "numberInputs": 3 }, "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ 4112, 240 ], "id": "499497d4-904d-4b50-9cca-6f870dd48fbe", "name": "Merge", "disabled": true }, { "parameters": { "jsCode": "// R\u00e9cup\u00e9rer tous les items des n\u0153uds All Links\nconst allItems = $input.all();\n\nconsole.log('Total items re\u00e7us:', allItems.length);\n\n// Variable pour compter le nombre total d'URLs BRUTES (avec doublons)\nlet totalRawUrls = 0; \n\n// Map pour compter les occurrences : url -> {count, title}\nconst urlCounts = new Map();\n\n// Fonction utilitaire pour ajouter une URL au compteur\nconst countUrl = (urlItem) => {\n if (urlItem && urlItem.url) {\n // Incr\u00e9menter le compteur BRUT avant toute d\u00e9duplication\n totalRawUrls++; \n \n // Normaliser l'URL (par exemple, supprimer le slash final pour \u00e9viter les doublons si non significatif)\n let url = urlItem.url.trim().replace(/\\/$/, \"\"); \n \n const title = urlItem.title || '';\n\n // Compter les occurrences UNIQUES\n if (urlCounts.has(url)) {\n urlCounts.get(url).count++;\n } else {\n urlCounts.set(url, { count: 1, title: title });\n }\n }\n};\n\n// Parcourir tous les items\nfor (const item of allItems) {\n const data = item.json;\n // ... (Logique de parcours des structures d'entr\u00e9e inchang\u00e9e)\n if (data.url && typeof data.url === 'string') {\n countUrl(data);\n } else if (Array.isArray(data)) {\n data.forEach(countUrl);\n } else if (typeof data === 'object' && data !== null) {\n for (const [key, value] of Object.entries(data)) {\n if (Array.isArray(value)) {\n value.forEach(countUrl);\n } else if (value && typeof value === 'object' && value.url) {\n countUrl(value);\n }\n }\n }\n}\n\nconsole.log('Total URLs uniques trouv\u00e9es (d\u00e9doublonn\u00e9es):', urlCounts.size);\nconsole.log('Total URLs brutes trouv\u00e9es:', totalRawUrls); // Nouveau log\n\n// --- LOGIQUE POUR CALCULER LES STATISTIQUES COMPL\u00c8TES ---\nconst allSortedUrls = Array.from(urlCounts.entries())\n .map(([url, data]) => ({\n url: url,\n title: data.title,\n occurrences: data.count\n }))\n .sort((a, b) => b.occurrences - a.occurrences);\n\nconst top80Urls = allSortedUrls.slice(0, 80); \n\nconst totalUrlsAfterTop80 = allSortedUrls.length - top80Urls.length;\nconst occurrenceAfterTop80 = allSortedUrls[80]?.occurrences || 0;\n\n// Retourner la liste des 80 URLs les plus fr\u00e9quentes PLUS les stats\nreturn [{\n json: {\n totalUrlsSelected: top80Urls.length,\n totalUniqueUrls: allSortedUrls.length,\n totalRawUrls: totalRawUrls, // AJOUT DE LA VALEUR BRUTE\n urls: top80Urls\n }\n}];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 4656, 272 ], "id": "15038fec-04bd-4e6b-9ae8-38e3bdd7e5b8", "name": "Code1", "disabled": true }, { "parameters": { "promptType": "define", "text": "=\nUser Goal: {{ $json.topic }} \n\nQueries:\n(Provide 6-10 queries below, following the guidelines above. Each should naturally include mentions of \u201cAI\u201d or \u201cgenerative AI,\u201d and focus on finding suppliers or vendors in the given domain.)\nthe answer must respect this format : \"\"Query1,Query2,Query3,..,QueryN\"\"\n\nrule : you response must be between only 2 quotes not 3\nMust : the format of the output must be like \"\"Queries\"\"", "messages": { "messageValues": [ { "message": "=You are an expert in crafting highly optimized search queries for Google's SERP API. Your task is to generate 10 search queries to collect information related to suppliers or vendors offering solutions powered by AI or generative AI related to the user\u2019s specified topic. \ud83d\udd39 Instructions & Best Practices: User\u2019s Topic -> The user will provide : a topic that either matches an IT domain recognized by leading IT analysts such as Gartner group (e.g., Intelligent Document Processing (IDP), etc.) Or a topic that corresponds to more detailed IT function (example : \u2018Audit CCTP\u2019 Focus: The queries must revolve around finding suppliers offering AI-driven or generative AI solutions in that topic area. Natural Language: Ensure the queries read like typical Google searches (no advanced operators like site:, intitle:, inurl:, etc.). Diversity: Provide queries that explore different angles\u2014such as solution providers value proposition, client case studies and implementation strategies, solutions benchmark in term of pricing and functions, , , or industry trends. Concise & Precise: Keep each query short (max 10 words) yet descriptive for optimal search results. \ud83d\udd39Example : #Input : query for topic that matches an IT domain recognized by leading IT analysts such as Gartner group such as \u00ab Intelligent Document Processing (IDP), etc.) \u00bb \u00ab Les solutions d\u2019Intelligent Document Processing. \u00bb #Output : Query 1 : software providers Intelligent Document Processing AI Query 2 : client success story Intelligent Document Processing AI Query 3 : benchmark Intelligent Document Processing AI Query 4 : implementation Intelligent Document Processing AI \ud83d\udd39 Generate 10 Structured Search Queries rule : you response must be between only 2 quotes not 3" } ] }, "batching": {} }, "type": "@n8n/n8n-nodes-langchain.chainLlm", "typeVersion": 1.7, "position": [ 2160, 368 ], "id": "358a45e5-b904-4de5-bfa9-9c1d450be3e8", "name": "Generating Queries GPT-5.1" }, { "parameters": { "model": "mistralai/mistral-large-2411", "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter", "typeVersion": 1, "position": [ 2256, -256 ], "id": "19bb2907-19e2-4eaa-84d4-fb9aaed667b5", "name": "OpenRouter Chat Model1", "credentials": { "openRouterApi": { "name": "" } } }, { "parameters": { "model": "moonshotai/kimi-k2", "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter", "typeVersion": 1, "position": [ 2480, 576 ], "id": "d670beb6-defe-420c-a9ae-89f60a3e0610", "name": "OpenRouter Chat Model2", "credentials": { "openRouterApi": { "name": "" } } }, { "parameters": { "model": "deepseek/deepseek-v3.2-exp", "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter", "typeVersion": 1, "position": [ 2464, 1456 ], "id": "488e65f0-9f7b-439f-84b2-1fb1fe001945", "name": "OpenRouter Chat Model3", "credentials": { "openRouterApi": { "name": "" } } }, { "parameters": { "langfuseMetadata": {}, "model": { "__rl": true, "value": "google/gemini-3-pro-preview", "mode": "list", "cachedResultName": "google/gemini-3-pro-preview" }, "options": {} }, "type": "n8n-nodes-openai-langfuse.lmChatOpenAiLangfuse", "typeVersion": 3, "position": [ 1952, 608 ], "id": "97737fa4-3732-451c-a0d0-8a4a690ba47e", "name": "OpenAI Chat Model with Langfuse", "credentials": { "openAiApiWithLangfuseApi": { "name": "" } } }, { "parameters": { "langfuseMetadata": {}, "model": { "__rl": true, "value": "deepseek/deepseek-chat-v3.1", "mode": "list", "cachedResultName": "deepseek/deepseek-chat-v3.1" }, "options": {} }, "type": "n8n-nodes-openai-langfuse.lmChatOpenAiLangfuse", "typeVersion": 3, "position": [ 2240, 1472 ], "id": "c172bdf3-664c-4894-b703-f0e24713da55", "name": "OpenAI Chat Model with Langfuse1", "credentials": { "openAiApiWithLangfuseApi": { "name": "" } } }, { "parameters": { "langfuseMetadata": {}, "model": { "__rl": true, "value": "deepseek/deepseek-chat-v3.1", "mode": "list", "cachedResultName": "deepseek/deepseek-chat-v3.1" }, "options": {} }, "type": "n8n-nodes-openai-langfuse.lmChatOpenAiLangfuse", "typeVersion": 3, "position": [ 2432, -256 ], "id": "7b33da97-f5e4-471c-8f87-2f17b08f23c2", "name": "OpenAI Chat Model with Langfuse2", "credentials": { "openAiApiWithLangfuseApi": { "name": "" } } }, { "parameters": { "jsCode": "// R\u00e9cup\u00e9rer tous les items des n\u0153uds All Links\nconst allItems = $input.all();\n\nconsole.log('Total items re\u00e7us:', allItems.length);\n\n// Variable pour compter le nombre total d'URLs BRUTES (avec doublons)\nlet totalRawUrls = 0; \n\n// Map pour compter les occurrences : url -> {count, title}\nconst urlCounts = new Map();\n\n// Fonction utilitaire pour ajouter une URL au compteur\nconst countUrl = (urlItem) => {\n if (urlItem && urlItem.url) {\n // Incr\u00e9menter le compteur BRUT avant toute d\u00e9duplication\n totalRawUrls++; \n \n // Normaliser l'URL (par exemple, supprimer le slash final pour \u00e9viter les doublons si non significatif)\n let url = urlItem.url.trim().replace(/\\/$/, \"\"); \n \n const title = urlItem.title || '';\n\n // Compter les occurrences UNIQUES\n if (urlCounts.has(url)) {\n urlCounts.get(url).count++;\n } else {\n urlCounts.set(url, { count: 1, title: title });\n }\n }\n};\n\n// Parcourir tous les items\nfor (const item of allItems) {\n const data = item.json;\n // ... (Logique de parcours des structures d'entr\u00e9e inchang\u00e9e)\n if (data.url && typeof data.url === 'string') {\n countUrl(data);\n } else if (Array.isArray(data)) {\n data.forEach(countUrl);\n } else if (typeof data === 'object' && data !== null) {\n for (const [key, value] of Object.entries(data)) {\n if (Array.isArray(value)) {\n value.forEach(countUrl);\n } else if (value && typeof value === 'object' && value.url) {\n countUrl(value);\n }\n }\n }\n}\n\nconsole.log('Total URLs uniques trouv\u00e9es (d\u00e9doublonn\u00e9es):', urlCounts.size);\nconsole.log('Total URLs brutes trouv\u00e9es:', totalRawUrls); // Nouveau log\n\n// --- LOGIQUE POUR CALCULER LES STATISTIQUES COMPL\u00c8TES ---\nconst allSortedUrls = Array.from(urlCounts.entries())\n .map(([url, data]) => ({\n url: url,\n title: data.title,\n occurrences: data.count\n }))\n .sort((a, b) => b.occurrences - a.occurrences);\n\nconst top80Urls = allSortedUrls.slice(0, 80); \n\nconst totalUrlsAfterTop80 = allSortedUrls.length - top80Urls.length;\nconst occurrenceAfterTop80 = allSortedUrls[80]?.occurrences || 0;\n\n// Retourner la liste des 80 URLs les plus fr\u00e9quentes PLUS les stats\nreturn [{\n json: {\n totalUrlsSelected: top80Urls.length,\n totalUniqueUrls: allSortedUrls.length,\n totalRawUrls: totalRawUrls, // AJOUT DE LA VALEUR BRUTE\n urls: top80Urls\n }\n}];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 3952, -800 ], "id": "bac57d9b-b396-4f57-8f3b-0125e3819c6d", "name": "Code2" }, { "parameters": { "jsCode": "// R\u00e9cup\u00e9rer tous les items des n\u0153uds All Links\nconst allItems = $input.all();\n\nconsole.log('Total items re\u00e7us:', allItems.length);\n\n// Variable pour compter le nombre total d'URLs BRUTES (avec doublons)\nlet totalRawUrls = 0; \n\n// Map pour compter les occurrences : url -> {count, title}\nconst urlCounts = new Map();\n\n// Fonction utilitaire pour ajouter une URL au compteur\nconst countUrl = (urlItem) => {\n if (urlItem && urlItem.url) {\n // Incr\u00e9menter le compteur BRUT avant toute d\u00e9duplication\n totalRawUrls++; \n \n // Normaliser l'URL (par exemple, supprimer le slash final pour \u00e9viter les doublons si non significatif)\n let url = urlItem.url.trim().replace(/\\/$/, \"\"); \n \n const title = urlItem.title || '';\n\n // Compter les occurrences UNIQUES\n if (urlCounts.has(url)) {\n urlCounts.get(url).count++;\n } else {\n urlCounts.set(url, { count: 1, title: title });\n }\n }\n};\n\n// Parcourir tous les items\nfor (const item of allItems) {\n const data = item.json;\n // ... (Logique de parcours des structures d'entr\u00e9e inchang\u00e9e)\n if (data.url && typeof data.url === 'string') {\n countUrl(data);\n } else if (Array.isArray(data)) {\n data.forEach(countUrl);\n } else if (typeof data === 'object' && data !== null) {\n for (const [key, value] of Object.entries(data)) {\n if (Array.isArray(value)) {\n value.forEach(countUrl);\n } else if (value && typeof value === 'object' && value.url) {\n countUrl(value);\n }\n }\n }\n}\n\nconsole.log('Total URLs uniques trouv\u00e9es (d\u00e9doublonn\u00e9es):', urlCounts.size);\nconsole.log('Total URLs brutes trouv\u00e9es:', totalRawUrls); // Nouveau log\n\n// --- LOGIQUE POUR CALCULER LES STATISTIQUES COMPL\u00c8TES ---\nconst allSortedUrls = Array.from(urlCounts.entries())\n .map(([url, data]) => ({\n url: url,\n title: data.title,\n occurrences: data.count\n }))\n .sort((a, b) => b.occurrences - a.occurrences);\n\nconst top80Urls = allSortedUrls.slice(0, 80); \n\nconst totalUrlsAfterTop80 = allSortedUrls.length - top80Urls.length;\nconst occurrenceAfterTop80 = allSortedUrls[80]?.occurrences || 0;\n\n// Retourner la liste des 80 URLs les plus fr\u00e9quentes PLUS les stats\nreturn [{\n json: {\n totalUrlsSelected: top80Urls.length,\n totalUniqueUrls: allSortedUrls.length,\n totalRawUrls: totalRawUrls, // AJOUT DE LA VALEUR BRUTE\n urls: top80Urls\n }\n}];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 3984, 64 ], "id": "86180a9b-ddd0-4001-a38c-e6967027fe9c", "name": "Code3" }, { "parameters": {}, "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ 4400, -512 ], "id": "5822994f-59b3-4cda-8db2-45b92a21dd05", "name": "Merge1" }, { "parameters": { "jsCode": "const items = [];\nfor (let i = 0; i < 70; i++) {\n items.push({\n json: {\n iteration: i + 1,\n topic: $input.first().json.topic,\n email: $input.first().json.email,\n // copie les autres donn\u00e9es dont tu as besoin\n }\n });\n}\nreturn items;" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1264, 16 ], "id": "e5faf7f4-e3e8-472c-98d4-314758e37703", "name": "iteration_number_DeepSeek" }, { "parameters": { "jsCode": "const items = [];\nfor (let i = 0; i < 60; i++) {\n items.push({\n json: {\n iteration: i + 1,\n topic: $input.first().json.topic,\n email: $input.first().json.email,\n // copie les autres donn\u00e9es dont tu as besoin\n }\n });\n}\nreturn items;" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1280, 512 ], "id": "62caab96-bfdb-4c25-abd4-a2a91702ffd9", "name": "iteration_number_For_Gemini-3" }, { "parameters": { "jsCode": "// n8n Code node (Node.js)\n\n// Helper: normalize URL to avoid duplicates like\n// \"https://site.com\" vs \"https://site.com/\"\nfunction normalizeUrl(url) {\n if (typeof url !== 'string') return '';\n return url.trim().replace(/\\/+$/, '').toLowerCase(); // remove trailing slash(es) + lowercase\n}\n\n// R\u00e9cup\u00e8re tous les items en entr\u00e9e (chacun contient totalUrlsSelected, urls, etc.)\nconst inputItems = $input.all();\n\nconst seen = new Set();\nconst output = [];\n\nfor (const item of inputItems) {\n const data = item.json;\n\n // On s'attend \u00e0 un tableau \"urls\" dans chaque item\n const urlsArray = Array.isArray(data.urls) ? data.urls : [];\n\n for (const entry of urlsArray) {\n const url = entry.url;\n const title = entry.title;\n\n if (!url || !title) continue;\n\n const key = normalizeUrl(url);\n if (!key) continue;\n\n // Si d\u00e9j\u00e0 vu, on saute\n if (seen.has(key)) continue;\n seen.add(key);\n\n // On renvoie un item par URL unique, avec seulement url + title\n output.push({\n json: {\n url,\n title,\n // Si tu veux garder occurrences :\n // occurrences: entry.occurrences,\n },\n });\n }\n}\n\nreturn output;\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 4608, -512 ], "id": "41ca9793-b2ee-4085-bae8-f3a1f7d21a20", "name": "Code4" }, { "parameters": { "options": {} }, "type": "n8n-nodes-base.splitInBatches", "typeVersion": 3, "position": [ 5120, -528 ], "id": "39e4fe05-0f9b-4b54-9ee6-f2bc130e62f5", "name": "Loop Over Links" }, { "parameters": { "operation": "select", "table": { "__rl": true, "value": "Ranking", "mode": "list", "cachedResultName": "Ranking" }, "returnAll": true, "where": { "values": [ { "column": "Link", "value": "={{ $json.url }}" }, { "column": "topic_id", "value": "={{$('Aggregating Input Variables').first().json.idtopic[0]}}" } ] }, "options": { "detailedOutput": true } }, "type": "n8n-nodes-base.mySql", "typeVersion": 2.4, "position": [ 5344, -480 ], "id": "3f15d29c-ab43-4dfd-a85c-7d770c2bea0d", "name": "Check Existence of the Link", "credentials": { "mySql": { "name": "" } } }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "64d548f1-5961-464b-bd52-f0550e0b7858", "leftValue": "={{ $json.data }}", "rightValue": "", "operator": { "type": "array", "operation": "empty", "singleValue": true } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.if", "typeVersion": 2.2, "position": [ 5520, -480 ], "id": "4c64f0c4-8d01-4beb-8079-6976a907b80a", "name": "If Link Does Not Exist, Continue" }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "b2998da2-bff5-439e-b114-a655f8245886", "leftValue": "={{ $json.stdout }}", "rightValue": "{\"message\": \"Internal server error\"}", "operator": { "type": "string", "operation": "contains" } }, { "id": "001d554a-4042-4864-a6b2-ddf49c7ab1a9", "leftValue": "={{ $json.stdout }}", "rightValue": "{\"error\": \"URL parameter is missing\"}", "operator": { "type": "string", "operation": "contains" } }, { "id": "574b6888-1d07-40c9-985e-66bc63dc4273", "leftValue": "={{ $json.stdout }}", "rightValue": "\"error\": \"403 Client Error: Forbidden for url", "operator": { "type": "string", "operation": "contains" } } ], "combinator": "or" }, "options": {} }, "type": "n8n-nodes-base.if", "typeVersion": 2.2, "position": [ 6128, -784 ], "id": "c26d9ae0-a18a-45d8-bb7a-a37d7c6f2149", "name": "If Scraping is Done, Continue" }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "0a11d788-a57b-41ce-a59f-78138f7ea090", "leftValue": "={{ $json.stdout }}", "rightValue": "\"error\": \"403 Client Error", "operator": { "type": "string", "operation": "contains" } }, { "id": "9de670e0-2447-4317-aca6-661786d727f6", "leftValue": "={{ $json.stdout }}", "rightValue": "\"error\": \"404 Client Error", "operator": { "type": "string", "operation": "contains" } }, { "id": "6ae46cca-97f7-4953-8f19-da4dad09b800", "leftValue": "={{ $json.stdout }}", "rightValue": "\"error\"", "operator": { "type": "string", "operation": "contains" } } ], "combinator": "or" }, "options": {} }, "type": "n8n-nodes-base.if", "typeVersion": 2.2, "position": [ 5936, -336 ], "id": "4a62afae-cc35-4998-bc0e-66e86206a556", "name": "If Scraping Does Not Contain Errors, Continue" }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "223aa338-f7c9-49fc-9516-d947439c8720", "leftValue": "={{ $json.output.mentioned_suppliers }}", "rightValue": "=suppliers_mentioned", "operator": { "type": "string", "operation": "empty", "singleValue": true } }, { "id": "870f2e3f-fb4c-4c1e-a0cb-cc35ce811ad3", "leftValue": "={{ $json.output.mentioned_suppliers }}", "rightValue": "No Mentioned Suppliers", "operator": { "type": "string", "operation": "contains" } } ], "combinator": "or" }, "options": {} }, "type": "n8n-nodes-base.if", "typeVersion": 2.2, "position": [ 7536, -560 ], "id": "03ebfed6-ba84-4c54-9e43-d1697e9abded", "name": "If Suppliers Exist, Continue" }, { "parameters": { "jsCode": "const inputText = $('If Suppliers Exist, Continue').first().json.output;\nconsole.log(\"debug alaeddine : \", inputText);\n\n// No need to parse - inputText is already an object\nif (!inputText.mentioned_suppliers) {\n return [];\n}\n\n// Split by comma, trim whitespace, and remove empty strings\nconst suppliersArray = inputText.mentioned_suppliers\n .split(',')\n .map(supplier => supplier.trim())\n .filter(supplier => supplier !== \"\");\n\n// Format each supplier into an output item for n8n\nreturn suppliersArray.map(supplier => ({ json: { supplier } }));" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 7824, -720 ], "id": "2ea85e81-c64a-4c43-b309-b60410838899", "name": "Preparing Suppliers as Items", "alwaysOutputData": true, "onError": "continueErrorOutput" }, { "parameters": { "workflowId": { "__rl": true, "value": "wqLtZRrarAx4CRJo", "mode": "list", "cachedResultName": "Sourcing_Agent_LinkedIn_validator_production" }, "workflowInputs": { "mappingMode": "defineBelow", "value": { "Company Name": "={{ $json.supplier }}", "Topic": "={{ $('Code').first().json.topic }}", "Topic Definition": "={{ $('Code').first().json.definition }}", "Topic ID": "={{ parseInt($('Aggregating Input Variables').first().json.idtopic) }}" }, "matchingColumns": [], "schema": [ { "id": "Company Name", "displayName": "Company Name", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true }, { "id": "Topic", "displayName": "Topic", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true }, { "id": "Topic ID", "displayName": "Topic ID", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "number" }, { "id": "Topic Definition", "displayName": "Topic Definition", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true } ], "attemptToConvertTypes": false, "convertFieldsToString": true }, "mode": "each", "options": { "waitForSubWorkflow": true } }, "type": "n8n-nodes-base.executeWorkflow", "typeVersion": 1.2, "position": [ 7984, -608 ], "id": "17d22499-949e-4edb-a387-fbafe9969724", "name": "Supplier Validator Sub Workflow", "retryOnFail": true, "maxTries": 2, "waitBetweenTries": 5000, "onError": "continueRegularOutput" }, { "parameters": { "fieldsToAggregate": { "fieldToAggregate": [ { "fieldToAggregate": "item", "renameField": true, "outputFieldName": "Identified Suppliers" } ] }, "options": {} }, "type": "n8n-nodes-base.aggregate", "typeVersion": 1, "position": [ 8176, -560 ], "id": "d9679505-9417-48fe-a6f7-e9d25d37670e", "name": "Aggregating Validated Suppliers" }, { "parameters": { "jsCode": "return items.map(item => {\n // 1. R\u00e9cup\u00e9rer la liste des fournisseurs identifi\u00e9s et compter leur nombre\n const identifiedSuppliers = item.json[\"Identified Suppliers\"] || [];\n const numberOfSuppliers = identifiedSuppliers.length;\n\n // 2. R\u00e9cup\u00e9rer le lien de l\u2019\u00e9l\u00e9ment courant\n const link = $('Loop Over Links').first().json.url || \"\";\n\n // Fonction de normalisation : on retire les espaces et tous les caract\u00e8res non alphanum\u00e9riques\n const normalize = str =>\n str.toLowerCase().replace(/\\s+/g, '').replace(/[^a-z0-9]/g, '');\n\n // Normaliser le lien\n const normalizedLink = normalize(link);\n\n // 3. V\u00e9rifier si le lien contient une correspondance partielle du nom du fournisseur\n const isInHouse = identifiedSuppliers.some(supplier => {\n const normalizedSupplier = normalize(supplier);\n return normalizedLink.includes(normalizedSupplier);\n });\n\n // 4. D\u00e9terminer si c'est un fournisseur tiers\n const isThirdParty = !isInHouse;\n\n // 5. Extraire le domaine original du lien avec une expression r\u00e9guli\u00e8re\n const match = link.match(/^https?:\\/\\/([^/]+)/);\n const source = match ? match[1] : \"Invalid URL\";\n\n // 6. Retourner le r\u00e9sultat final\n return {\n json: {\n numberOfSuppliers,\n thirdParty: isThirdParty ? \"Yes\" : \"No\",\n source\n }\n };\n});\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 8400, -560 ], "id": "49fab42c-273b-4b7a-b3be-136308b1c7b5", "name": "Preparing Variables for Ranking" }, { "parameters": { "jsCode": "// Retrieve the necessary variables from the first input item\nconst numberOfSuppliers = $input.first().json.numberOfSuppliers;\nconst thirdParty = $input.first().json.thirdParty; // Expected to be \"Yes\" or \"No\"\n\nlet rank;\n\n// Apply the ranking criteria:\nif (numberOfSuppliers < 1) {\n rank = 3;\n} else if (numberOfSuppliers === 1) {\n rank = 4;\n} else if (numberOfSuppliers > 1 && thirdParty === \"No\") {\n rank = 6;\n} else if (numberOfSuppliers > 1 && thirdParty === \"Yes\") {\n rank = 7;\n}\n\n// Return the result as an output item.\nreturn [\n {\n json: {\n rank: rank,\n // you can also forward other properties if needed\n numberOfSuppliers: numberOfSuppliers,\n thirdParty: thirdParty\n }\n }\n];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 8624, -560 ], "id": "d9f7ee51-7fd1-4ad4-9fa1-a7ead5bb6dab", "name": "Ranking" }, { "parameters": { "table": { "__rl": true, "value": "Ranking", "mode": "list", "cachedResultName": "Ranking" }, "dataMode": "defineBelow", "valuesToSend": { "values": [ { "column": "topic_id", "value": "={{ $('Aggregating Input Variables').first().json.idtopic[0] }}" }, { "column": "Identified_Suppliers", "value": "=( {{ $('Aggregating Validated Suppliers').item.json['Identified Suppliers'] }} )" }, { "column": "Link", "value": "={{ $('Loop Over Links').item.json.url }}" }, { "column": "Relevance_Rating", "value": "={{ $json.rank }}" }, { "column": "Source", "value": "={{ $('Preparing Variables for Ranking').item.json.source }}" }, { "column": "Third_Party", "value": "={{ $('Preparing Variables for Ranking').item.json.thirdParty }}" }, { "column": "Article_Title", "value": "={{ $('Loop Over Links').item.json.title }}" }, { "column": "Rating_Justification", "value": "NOT NOW" }, { "column": "Search_Date", "value": "={{ $('Aggregating Input Variables').first().json.searchDatetime[0] }}" } ] }, "options": {} }, "type": "n8n-nodes-base.mySql", "typeVersion": 2.4, "position": [ 8864, -528 ], "id": "4ca5f37d-5d95-4166-a5c9-c23a843a302a", "name": "Inserting Articles to Ranking Table", "credentials": { "mySql": { "name": "" } } }, { "parameters": {}, "type": "n8n-nodes-base.noOp", "typeVersion": 1, "position": [ 8800, -336 ], "id": "08f27c71-7f5b-4ed6-b171-64ee69d18b3e", "name": "If Error, Break" }, { "parameters": { "operation": "select", "table": { "__rl": true, "value": "Ranking", "mode": "list", "cachedResultName": "Ranking" }, "returnAll": true, "where": { "values": [ { "column": "Relevance_Rating", "condition": ">=", "value": "3" }, { "column": "topic_id", "value": "={{ $('Aggregating Input Variables').first().json.idtopic[0] }}" }, { "column": "Search_Date", "value": "={{ $('Aggregating Input Variables').first().json.searchDatetime[0] }}" } ] }, "options": { "detailedOutput": true } }, "type": "n8n-nodes-base.mySql", "typeVersion": 2.4, "position": [ 6048, -976 ], "id": "a9283cd9-b2e4-4c89-ab68-adf25d64c02e", "name": "Retrieving Articles with Rank 4", "executeOnce": true, "credentials": { "mySql": { "name": "" } } }, { "parameters": { "jsCode": "// n8n Function Node: Process supplier data using nested input data\n// It assumes the input JSON has a structure like { data: [ { ... }, { ... }, ... ] }\n\n// Extract the input data array\nconst inputData = $input.first().json.data; \n\n// Extract topic from the first item (or any item since they should all have the same topic_id)\nconst topic = inputData.length > 0 ? (inputData[0].topic_id || \"\") : \"\";\n\nconst supplierData = {};\n\nfor (const item of inputData) {\n // 1. Grab the raw string, e.g. \"( Loopio, OtherCo )\"\n const identifiedRaw = item[\"Identified_Suppliers\"] || \"\";\n // 2. Strip parentheses\n const identifiedClean = identifiedRaw\n .replace(/^\\s*\\(\\s*/, \"\")\n .replace(/\\s*\\)\\s*$/, \"\");\n \n // 3. Split, trim, lowercase, filter\n const suppliers = identifiedClean\n .split(\",\")\n .map(s => s.trim().toLowerCase())\n .filter(s => s !== \"\");\n \n const link = item[\"Link\"] || \"\";\n const relevanceRating = Number(item[\"Relevance_Rating\"]) || 0;\n \n for (const supplier of suppliers) {\n if (!supplierData[supplier]) {\n supplierData[supplier] = {\n links: new Set(),\n total_relevance: 0,\n topic: topic\n };\n }\n if (link) {\n supplierData[supplier].links.add(link);\n }\n supplierData[supplier].total_relevance += relevanceRating;\n }\n}\n\n// Build and sort output\nconst outputData = Object.entries(supplierData).map(([supplier, info]) => ({\n \"Identified Suppliers\": supplier,\n \"Mentioned Links\": Array.from(info.links).join(\"; \"),\n \"Final Score\": info.total_relevance,\n \"Topic\": info.topic\n})).sort((a, b) => b[\"Final Score\"] - a[\"Final Score\"]);\n\n// Return for n8n\nreturn outputData.map(data => ({ json: data }));" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 6256, -976 ], "id": "b2d48055-809b-40b9-a777-cf648e1d3278", "name": "Calculating Final Score and Appending Mentioned Links" }, { "parameters": { "options": {} }, "type": "n8n-nodes-base.splitInBatches", "typeVersion": 3, "position": [ 6576, -1168 ], "id": "db1ce0a5-9622-4ce8-9d94-7d38bc0ada85", "name": "Loop Over Suppliers" }, { "parameters": { "operation": "select", "table": { "__rl": true, "value": "Analysis", "mode": "list", "cachedResultName": "Analysis" }, "limit": 1, "where": { "values": [ { "column": "Supplier", "value": "={{ $json[\"Identified Suppliers\"] }}" }, { "column": "topic_id", "value": "={{ $json.Topic }}" } ] }, "options": { "detailedOutput": true } }, "type": "n8n-nodes-base.mySql", "typeVersion": 2.4, "position": [ 6992, -1088 ], "id": "72bd7231-f9ea-4529-865a-ff2f801ffd4d", "name": "Selecting Supplier ID", "credentials": { "mySql": { "name": "" } } }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "f18416b2-2c0c-4ec2-9ad1-483d4c2dbb4a", "leftValue": "={{ $json.data }}", "rightValue": "", "operator": { "type": "array", "operation": "empty", "singleValue": true } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.if", "typeVersion": 2.2, "position": [ 7184, -1088 ], "id": "57b089ff-1e44-47ac-88e3-8188b298e700", "name": "If Exists, Continue" }, { "parameters": {}, "type": "n8n-nodes-base.noOp", "typeVersion": 1, "position": [ 7792, -992 ], "id": "327625a8-8513-42dc-8d1c-27ad45252a93", "name": "If Error, Break1" }, { "parameters": { "jsCode": "// n8n Function Node: Sum scores and merge links\n\n// 1. Get the old and new final scores\nconst oldScore = Number($input.first().json.data[0][\"Final Score\"] || 0);\nconst newScore = Number($('Loop Over Suppliers').first().json[\"Final Score\"] || 0);\nconst updatedFinalScore = oldScore + newScore;\n\n// 2. Get the old and new link strings\nconst oldLinksStr = $input.first().json.data[0].Links || \"\";\nconst newLinksStr = $('Loop Over Suppliers').first().json[\"Mentioned Links\"] || \"\";\n\n// 3. Split on semicolons, trim, filter empty, and dedupe\nconst combined = [\n ...oldLinksStr.split(/;\\s*/),\n ...newLinksStr.split(/;\\s*/)\n]\n .map(link => link.trim())\n .filter(link => link !== \"\");\n\nconst updatedLinks = Array.from(new Set(combined)).join(\"; \");\n\n// 4. Return the updated values\nreturn [\n {\n json: {\n \"Updated Final Score\": updatedFinalScore,\n \"Updated Links\": updatedLinks\n }\n }\n];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 7408, -1088 ], "id": "d3d303ed-6a90-4423-a8fc-ea2b404955f6", "name": "Calculating New Score" }, { "parameters": { "operation": "update", "table": { "__rl": true, "value": "Analysis", "mode": "list", "cachedResultName": "Analysis" }, "dataMode": "defineBelow", "columnToMatchOn": "Supplier", "valueToMatchOn": "={{ $('Loop Over Suppliers').item.json[\"Identified Suppliers\"] }}", "valuesToSend": { "values": [ { "column": "Final Score", "value": "={{ $json[\"Updated Final Score\"] }}" }, { "column": "Links", "value": "={{ $json[\"Updated Links\"] }}" }, { "column": "Update_Date", "value": "={{ $('Aggregating Input Variables').first().json.searchDatetime[0] }}" } ] }, "options": {} }, "type": "n8n-nodes-base.mySql", "typeVersion": 2.4, "position": [ 7584, -1088 ], "id": "03bd1efc-a02c-4756-b582-0af52c9a19a3", "name": "Updating Final Score", "credentials": { "mySql": { "name": "" } } }, { "parameters": { "mode": "chooseBranch", "useDataOfInput": 2 }, "type": "n8n-nodes-base.merge", "typeVersion": 3, "position": [ 7072, -1520 ], "id": "4a6e892b-2c3e-4b49-aeee-629a7c49fe74", "name": "Merge Outputs" }, { "parameters": { "content": "## Link Scraper\n", "height": 240, "width": 560 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 6336, -736 ], "id": "71013cfd-f27c-4361-9318-c197f0d16c0a", "name": "Sticky Note6" }, { "parameters": { "content": "## Supplier Extractor & Validator", "height": 344, "width": 900 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 6096, 0 ], "id": "4bcac1a8-453a-4b13-9484-5a80fdfb5d7d", "name": "Sticky Note7" }, { "parameters": { "content": "## Supplier Validator Via Linkedin Sub Workflow", "height": 360, "width": 600 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 7776, -608 ], "id": "35c7c186-5c6c-4f65-ba69-027d26cbeb0f", "name": "Sticky Note8" }, { "parameters": { "content": "## Article Ranking", "height": 360, "width": 380 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 8384, -608 ], "id": "dd5f2223-bfa9-4cf9-8c67-ce99e5cf01f6", "name": "Sticky Note9" }, { "parameters": { "content": "## Inserting Article Into Database", "height": 260, "width": 280 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 8768, -608 ], "id": "3b1b2322-de76-4472-a264-6f51d0c5e739", "name": "Sticky Note10" }, { "parameters": { "content": "## Calculating Suppliers' Final Score\n", "height": 520, "width": 1820, "color": 5 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 5360, -1168 ], "id": "c67009b1-9831-4c2b-a1c1-5836b4000f3b", "name": "Sticky Note11" }, { "parameters": { "jsCode": "const COST_PER_HR = 1.89;\n\nfunction parseLocal(str) { // <-- changed\n return new Date(str.replace(' ', 'T')); // no Z suffix\n}\n\nreturn $input.all().map(item => {\n const tsStr = typeof item.json.searchDatetime === 'string'\n ? item.json.searchDatetime\n : (item.json.searchDatetime ?? [])[0];\n\n if (!tsStr) throw new Error('searchDatetime missing');\n\n const start = parseLocal(tsStr);\n if (isNaN(start)) throw new Error(`Bad date: ${tsStr}`);\n\n const now = new Date();\n const hours = (now - start) / 3_600_000; // ms \u2192 h (should be \u2265 0)\n const total = hours * COST_PER_HR;\n\n return {\n json: {\n ...item.json,\n hoursElapsed: Number(hours.toFixed(2)),\n totalCost: Number(total.toFixed(2))\n }\n };\n});\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 7456, -1488 ], "id": "af8ee44d-1141-4e39-a842-09cd051c439d", "name": "Calculating Runpod Consumption", "disabled": true }, { "parameters": { "table": { "__rl": true, "value": "Runpod_Consumption", "mode": "list", "cachedResultName": "Runpod_Consumption" }, "dataMode": "defineBelow", "valuesToSend": { "values": [ { "column": "user_id", "value": "={{ $('Waiting for Topic').item.json.body.userId }}" }, { "column": "user_email", "value": "={{ $('Waiting for Topic').item.json.body.email }}" }, { "column": "topic_id", "value": "={{ $json.idtopic[0] }}" }, { "column": "topic_name", "value": "={{ $json.topic }}" }, { "column": "pod_id", "value": "={{ $('Retrieve Ollama Address & Pod ID').item.json.pod_id }}" }, { "column": "pod_price", "value": "1.89" }, { "column": "execution_started", "value": "={{ $('Waiting for Topic').item.json.body.search_datetime }}" }, { "column": "execution_time", "value": "={{ $json.hoursElapsed }}" }, { "column": "cost", "value": "={{ $json.totalCost }}" } ] }, "options": {} }, "type": "n8n-nodes-base.mySql", "typeVersion": 2.4, "position": [ 7648, -1488 ], "id": "6393dfcb-85d2-44e2-af96-1cce3caf5920", "name": "Insert Runpod Consumption Details", "disabled": true }, { "parameters": { "command": "=runpodctl remove pod {{ $('Retrieve Ollama Address & Pod ID').item.json.pod_id }}" }, "type": "n8n-nodes-base.executeCommand", "typeVersion": 1, "position": [ 7824, -1488 ], "id": "6f88fdd7-3c91-4cda-bb3b-29e8e9a0998e", "name": "Delete Running Pod", "disabled": true }, { "parameters": { "content": "## Calculating Runpod Consumption Details\n## Deleting Running Pod\n", "height": 300, "width": 660, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 5840, -1600 ], "id": "b7931859-96ff-4b9c-a033-6a7b49bc702b", "name": "Sticky Note12" }, { "parameters": { "fromEmail": "contact@apaia-technology.io", "toEmail": "={{ $('Merge Outputs').item.json.email }}", "subject": "=\u201c {{ $('Merge Outputs').item.json.topic[0] }} \u201d Analysis Finished \u2013 View Results", "html": "=\n\n \n \n Topic Processing Complete\n \n \n \n \n \n \n
\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n

Processing Complete

\n
\n

Hello,

\n

We\u2019re pleased to let you know that the processing for the topic {{ $('Calculating Runpod Consumption').item.json.topic[0] }} has been finalized.

\n

\n \n View Your Results\n \n

\n

If you have any questions or need further clarification, simply reply to this email\u2014we\u2019re here to help!

\n

Best regards,
\n APAIA Technology
\n\n

\n
\n \u00a9 2025 APAIA Technology \u2014 All rights reserved.\n
\n
\n \n", "options": {} }, "type": "n8n-nodes-base.emailSend", "typeVersion": 2.1, "position": [ 8064, -1488 ], "id": "d4835d5e-9f54-48d5-8c59-f395768b76f1", "name": "Send Email", "credentials": { "smtp": { "name": "" } } }, { "parameters": { "command": "=python3 /home/node/.n8n/scripts/scraptio.py \"{{ $('Loop Over Links').item.json.url }}\"" }, "type": "n8n-nodes-base.executeCommand", "typeVersion": 1, "position": [ 5824, -768 ], "id": "7c6b50c3-2972-4527-9832-545c212435d0", "name": "Scrape the Link_scrapio", "retryOnFail": true, "waitBetweenTries": 5000, "maxTries": 5 }, { "parameters": { "command": "=curl \"https://app.scrapingbee.com/api/v1/?api_key=BVR1Z46WYWANS9LWYN575U1YNXQ6OND9F8BUJRG7VOMC1NKMVNCBSCBJYLROHT01E2E5DN3VBJJXTFGT&url={{ $('Loop Over Links').item.json.url }}&premium_proxy=true\"" }, "type": "n8n-nodes-base.executeCommand", "typeVersion": 1, "position": [ 6480, -784 ], "id": "3d59a4e8-c1ba-4604-ae09-78868e5ea6ab", "name": "Scrape the Link_scraper_cli", "retryOnFail": false, "waitBetweenTries": 5000, "maxTries": 2, "executeOnce": false, "onError": "continueErrorOutput" }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "b2998da2-bff5-439e-b114-a655f8245886", "leftValue": "={{ $json.stdout }}", "rightValue": "{\"message\": \"Internal server error\"}", "operator": { "type": "string", "operation": "contains" } }, { "id": "001d554a-4042-4864-a6b2-ddf49c7ab1a9", "leftValue": "={{ $json.stdout }}", "rightValue": "{\"error\": \"URL parameter is missing\"}", "operator": { "type": "string", "operation": "contains" } }, { "id": "479bd43c-55fc-4794-b7c7-cfcbb77486fc", "leftValue": "={{ $json.stdout }}", "rightValue": "\"ok\": false", "operator": { "type": "string", "operation": "contains" } }, { "id": "f53c2cce-6f62-4dfa-9091-94b5159062b3", "leftValue": "={{ $json.stdout }}", "rightValue": "ensure a secure connection and verify you're human", "operator": { "type": "string", "operation": "contains" } }, { "id": "fa75bbac-8873-4d37-8726-8d5bcff38e83", "leftValue": "={{ $json.stdout }}", "rightValue": "502 Bad Gateway", "operator": { "type": "string", "operation": "contains" } } ], "combinator": "or" }, "options": {} }, "type": "n8n-nodes-base.if", "typeVersion": 2.2, "position": [ 6848, -768 ], "id": "d0f07540-2da6-4d9c-8602-42139dccffdd", "name": "If Scraping_Cli is Done, Continue" }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "b2998da2-bff5-439e-b114-a655f8245886", "leftValue": "={{ $json.stdout }}", "rightValue": "{\"message\": \"Internal server error\"}", "operator": { "type": "string", "operation": "contains" } }, { "id": "001d554a-4042-4864-a6b2-ddf49c7ab1a9", "leftValue": "={{ $json.stdout }}", "rightValue": "{\"error\": \"URL parameter is missing\"}", "operator": { "type": "string", "operation": "contains" } }, { "id": "479bd43c-55fc-4794-b7c7-cfcbb77486fc", "leftValue": "={{ $json.stdout }}", "rightValue": "\"ok\": false", "operator": { "type": "string", "operation": "contains" } }, { "id": "f53c2cce-6f62-4dfa-9091-94b5159062b3", "leftValue": "={{ $json.stdout }}", "rightValue": "ensure a secure connection and verify you're human", "operator": { "type": "string", "operation": "contains" } } ], "combinator": "or" }, "options": {} }, "type": "n8n-nodes-base.if", "typeVersion": 2.2, "position": [ 7600, -800 ], "id": "23b16d36-8a66-4d76-93ec-8b6c1ce08c43", "name": "If Scraping_Cli is Done, Continue1" }, { "parameters": { "amount": 10, "unit": "minutes" }, "type": "n8n-nodes-base.wait", "typeVersion": 1.1, "position": [ 7104, -832 ], "id": "f1126587-00e4-43bc-acc7-169cbfeca766", "name": "Wait 10 min" }, { "parameters": { "amount": 20, "unit": "minutes" }, "type": "n8n-nodes-base.wait", "typeVersion": 1.1, "position": [ 7984, -848 ], "id": "b2742427-d338-4260-8b3f-3b364538bb03", "name": "Wait 20 min" }, { "parameters": { "command": "=curl \"https://app.scrapingbee.com/api/v1/?api_key=BVR1Z46WYWANS9LWYN575U1YNXQ6OND9F8BUJRG7VOMC1NKMVNCBSCBJYLROHT01E2E5DN3VBJJXTFGT&url={{ $('Loop Over Links').item.json.url }}\"" }, "type": "n8n-nodes-base.executeCommand", "typeVersion": 1, "position": [ 7312, -800 ], "id": "c6fa4e63-2f97-4389-9098-4f059ddc10ed", "name": "Scrape the Link_scraper_cli_first_try", "retryOnFail": false, "waitBetweenTries": 5000, "maxTries": 2, "executeOnce": false, "onError": "continueErrorOutput" }, { "parameters": { "command": "=curl \"https://app.scrapingbee.com/api/v1/?api_key=BVR1Z46WYWANS9LWYN575U1YNXQ6OND9F8BUJRG7VOMC1NKMVNCBSCBJYLROHT01E2E5DN3VBJJXTFGT&url={{ $('Loop Over Links').item.json.url }}\"" }, "type": "n8n-nodes-base.executeCommand", "typeVersion": 1, "position": [ 8240, -800 ], "id": "f7e9a3fd-aa2c-4167-8521-2c2f461a4131", "name": "Scrape the Link_scraper_cli_second_try", "retryOnFail": false, "waitBetweenTries": 5000, "maxTries": 2, "executeOnce": false, 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