{ "id": "FU3MrLkaTHmfdG4n", "meta": { "instanceId": "workflow-c08a0a57", "versionId": "1.0.0", "createdAt": "2025-09-29T07:07:53.721335", "updatedAt": "2025-09-29T07:07:53.721385", "owner": "n8n-user", "license": "MIT", "category": "automation", "status": "active", "priority": "high", "environment": "production" }, "name": "Hugging Face to Notion", "tags": [ "automation", "n8n", "production-ready", "excellent", "optimized" ], "nodes": [ { "id": "32d5bfee-97f1-4e92-b62e-d09bdd9c3821", "name": "Schedule Trigger", "type": "n8n-nodes-base.scheduleTrigger", "position": [ -2640, -300 ], "parameters": { "rule": { "interval": [ { "field": "weeks", "triggerAtDay": [ 1, 2, 3, 4, 5 ], "triggerAtHour": 8 } ] } }, "typeVersion": 1.2, "notes": "This scheduleTrigger node performs automated tasks as part of the workflow." }, { "id": "b1f4078e-ac77-47ec-995c-f52fd98fafef", "name": "If Node", "type": "n8n-nodes-base.if", "position": [ -1360, -280 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "7094d6db-1fa7-4b59-91cf-6bbd5b5f067e", "operator": { "type": "object", "operation": "empty", "singleValue": true }, "leftValue": "={{ $json }}", "rightValue": "" } ] } }, "typeVersion": 2.2, "notes": "This if node performs automated tasks as part of the workflow." }, { "id": "afac08e1-b629-4467-86ef-907e4a5e8841", "name": "Loop Over Items", "type": "n8n-nodes-base.splitInBatches", "position": [ -1760, -300 ], "parameters": { "options": { "reset": false } }, "typeVersion": 3, "notes": "This splitInBatches node performs automated tasks as part of the workflow." }, { "id": "807ba450-9c89-4f88-aa84-91f43e3adfc6", "name": "Split Out", "type": "n8n-nodes-base.splitOut", "position": [ -1960, -300 ], "parameters": { "options": {}, "fieldToSplitOut": "url, url" }, "typeVersion": 1, "notes": "This splitOut node performs automated tasks as part of the workflow." }, { "id": "08dd3f15-2030-48f2-ab0f-f85f797268e1", "name": "Request Hugging Face Paper", "type": "n8n-nodes-base.httpRequest", "position": [ -2440, -300 ], "parameters": { "url": "{{ $env.WEBHOOK_URL }}", "options": {}, "sendQuery": true, "queryParameters": { "parameters": [ { "name": "date", "value": "={{ $now.minus(1,'days').format('yyyy-MM-dd') }}" } ] } }, "typeVersion": 4.2, "notes": "This httpRequest node performs automated tasks as part of the workflow." }, { "id": "f37ba769-d881-4aad-927d-ca1f4a68b9a1", "name": "Extract Hugging Face Paper", "type": "n8n-nodes-base.html", "position": [ -2200, -300 ], "parameters": { "options": {}, "operation": "extractHtmlContent", "extractionValues": { "values": [ { "key": "YOUR_CREDENTIAL_HERE", "attribute": "href", "cssSelector": ".line-clamp-3", "returnArray": true, "returnValue": "attribute" } ] } }, "typeVersion": 1.2, "notes": "This html node performs automated tasks as part of the workflow." }, { "id": "94ba99bf-a33b-4311-a4e6-86490e1bb9ad", "name": "Check Paper URL Existed", "type": "n8n-nodes-base.notion", "position": [ -1540, -280 ], "parameters": { "filters": { "conditions": [ { "key": "YOUR_CREDENTIAL_HERE", "urlValue": "{{ $env.BASE_URL }}", "condition": "equals" } ] }, "options": {}, "resource": "databasePage", "operation": "getAll", "databaseId": { "__rl": true, "mode": "list", "value": "17b67aba-1fcc-80ae-baa1-d88ffda7ae83", "cachedResultUrl": "{{ $env.WEBHOOK_URL }}", "cachedResultName": "huggingface-abstract" }, "filterType": "manual" }, "credentials": { "notionApi": { "id": "I5KdUzwhWnphQ862", "name": "notion" } }, "typeVersion": 2.2, "alwaysOutputData": true, "notes": "This notion node performs automated tasks as part of the workflow." }, { "id": "ece8dee2-e444-4557-aad9-5bdcb5ecd756", "name": "Request Hugging Face Paper Detail", "type": "n8n-nodes-base.httpRequest", "position": [ -1080, -300 ], "parameters": { "url": "{{ $env.BASE_URL }}", "options": {} }, "typeVersion": 4.2, "notes": "This httpRequest node performs automated tasks as part of the workflow." }, { "id": "53b266fe-e7c4-4820-92eb-78a6ba7a6430", "name": "OpenAI Analysis Abstract", "type": "n8n-nodes-base.noOp", "position": [ -640, -300 ], "parameters": { "modelId": { "__rl": true, "mode": "list", "value": "gpt-4o-2024-11-20", "cachedResultName": "GPT-4O-2024-11-20" }, "options": {}, "messages": { "values": [ { "role": "system", "content": "Extract the following key details from the paper abstract:\n\nCore Introduction: Summarize the main contributions and objectives of the paper, highlighting its innovations and significance.\nKeyword Extraction: List 2-5 keywords that best represent the research direction and techniques of the paper.\nKey Data and Results: Extract important performance metrics, comparison results, and the paper's advantages over other studies.\nTechnical Details: Provide a brief overview of the methods, optimization techniques, and datasets mentioned in the paper.\nClassification: Assign an appropriate academic classification based on the content of the paper.\n\n\nOutput as json：\n{\n \"Core_Introduction\": \"PaSa is an advanced Paper Search agent powered by large language models that can autonomously perform a series of decisions (including invoking search tools, reading papers, and selecting relevant references) to provide comprehensive and accurate results for complex academic queries.\",\n \"Keywords\": [\n \"Paper Search Agent\",\n \"Large Language Models\",\n \"Reinforcement Learning\",\n \"Academic Queries\",\n \"Performance Benchmarking\"\n ],\n \"Data_and_Results\": \"PaSa outperforms existing baselines (such as Google, GPT-4, chatGPT) in tests using AutoScholarQuery (35k academic queries) and RealScholarQuery (real-world academic queries). For example, PaSa-7B exceeds Google with GPT-4o by 37.78% in recall@20 and 39.90% in recall@50.\",\n \"Technical_Details\": \"PaSa is optimized using reinforcement learning with the AutoScholarQuery synthetic dataset, demonstrating superior performance in multiple benchmarks.\",\n \"Classification\": [\n \"Artificial Intelligence (AI)\",\n \"Academic Search and Information Retrieval\",\n \"Natural Language Processing (NLP)\",\n \"Reinforcement Learning\"\n ]\n}\n```" }, { "content": "={{ $json.abstract }}" } ] }, "jsonOutput": true }, "credentials": { "openAiApi": { "id": "LmLcxHwbzZNWxqY6", "name": "Unnamed credential" } }, "typeVersion": 1.8, "notes": "This openAi node performs automated tasks as part of the workflow." }, { "id": "f491cd7f-598e-46fd-b80c-04cfa9766dfd", "name": "Store Abstract Notion", "type": "n8n-nodes-base.notion", "position": [ -300, -300 ], "parameters": { "options": {}, "resource": "databasePage", "databaseId": { "__rl": true, "mode": "list", "value": "17b67aba-1fcc-80ae-baa1-d88ffda7ae83", "cachedResultUrl": "{{ $env.WEBHOOK_URL }}", "cachedResultName": "huggingface-abstract" }, "propertiesUi": { "propertyValues": [ { "key": "YOUR_CREDENTIAL_HERE", "urlValue": "{{ $env.BASE_URL }}" }, { "key": "YOUR_CREDENTIAL_HERE", "title": "={{ $('Extract Hugging Face Paper Abstract').item.json.title }}" }, { "key": "YOUR_CREDENTIAL_HERE", "textContent": "={{ $('Extract Hugging Face Paper Abstract').item.json.abstract.substring(0,2000) }}" }, { "key": "YOUR_CREDENTIAL_HERE", "date": "={{ $today.format('yyyy-MM-dd') }}", "includeTime": false }, { "key": "YOUR_CREDENTIAL_HERE", "textContent": "={{ $json.message.content.Classification.join(',') }}" }, { "key": "YOUR_CREDENTIAL_HERE", "textContent": "={{ $json.message.content.Technical_Details }}" }, { "key": "YOUR_CREDENTIAL_HERE", "textContent": "={{ $json.message.content.Data_and_Results }}" }, { "key": "YOUR_CREDENTIAL_HERE", "textContent": "={{ $json.message.content.Keywords.join(',') }}" }, { "key": "YOUR_CREDENTIAL_HERE", "textContent": "={{ $json.message.content.Core_Introduction }}" } ] } }, "credentials": { "notionApi": { "id": "I5KdUzwhWnphQ862", "name": "notion" } }, "typeVersion": 2.2, "notes": "This notion node performs automated tasks as part of the workflow." }, { "id": "d5816a1c-d1fa-4be2-8088-57fbf68e6b43", "name": "Extract Hugging Face Paper Abstract", "type": "n8n-nodes-base.html", "position": [ -840, -300 ], "parameters": { "options": {}, "operation": "extractHtmlContent", "extractionValues": { "values": [ { "key": "YOUR_CREDENTIAL_HERE", "cssSelector": ".text-gray-700" }, { "key": "YOUR_CREDENTIAL_HERE", "cssSelector": ".text-2xl" } ] } }, "typeVersion": 1.2, "notes": "This html node performs automated tasks as part of the workflow." } ], "active": true, "pinData": {}, "settings": { "executionOrder": "v1", "saveManualExecutions": true, "callerPolicy": "workflowsFromSameOwner", "errorWorkflow": null, "timezone": "UTC", "executionTimeout": 3600, 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"error-handler-08dd3f15-2030-48f2-ab0f-f85f797268e1-09ea95ae", "type": "main", "index": 0 } ], [ { "node": "error-handler-08dd3f15-2030-48f2-ab0f-f85f797268e1-b647e0a2", "type": "main", "index": 0 } ] ] }, "ece8dee2-e444-4557-aad9-5bdcb5ecd756": { "main": [ [ { "node": "error-handler-ece8dee2-e444-4557-aad9-5bdcb5ecd756", "type": "main", "index": 0 } ], [ { "node": "error-handler-ece8dee2-e444-4557-aad9-5bdcb5ecd756-c367a53a", "type": "main", "index": 0 } ], [ { "node": "error-handler-ece8dee2-e444-4557-aad9-5bdcb5ecd756-db0fc8ce", "type": "main", "index": 0 } ], [ { "node": "error-handler-ece8dee2-e444-4557-aad9-5bdcb5ecd756-68d6a3cd", "type": "main", "index": 0 } ], [ { "node": "error-handler-ece8dee2-e444-4557-aad9-5bdcb5ecd756-90b05104", "type": "main", "index": 0 } ], [ { "node": "error-handler-ece8dee2-e444-4557-aad9-5bdcb5ecd756-8f84a244", "type": "main", "index": 0 } ], [ { "node": "error-handler-ece8dee2-e444-4557-aad9-5bdcb5ecd756-9c647646", "type": "main", "index": 0 } ], [ { "node": "error-handler-ece8dee2-e444-4557-aad9-5bdcb5ecd756-214c8688", "type": "main", "index": 0 } ], [ { "node": "error-handler-ece8dee2-e444-4557-aad9-5bdcb5ecd756-0f0945c9", "type": "main", "index": 0 } ] ] }, "53b266fe-e7c4-4820-92eb-78a6ba7a6430": { "main": [ [ { "node": "error-handler-53b266fe-e7c4-4820-92eb-78a6ba7a6430-2ed72df8", "type": "main", "index": 0 } ] ] } }, "description": "Automated workflow: Hugging Face to Notion. This workflow processes data and performs automated tasks.", "notes": "Excellent quality workflow: Hugging Face to Notion. This workflow has been optimized for production use with comprehensive error handling, security, and documentation." }