This workflow follows the Agent → Chainllm recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"createdAt": "2025-10-05T07:11:55.402Z",
"updatedAt": "2025-10-07T03:07:37.000Z",
"id": "ZOoqmJUlJW8VgAeM",
"name": "PostFacebook",
"active": true,
"isArchived": false,
"nodes": [
{
"parameters": {
"rule": {
"interval": [
{
"triggerAtHour": 8
},
{
"triggerAtHour": 20
}
]
}
},
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1.2,
"position": [
-384,
-112
],
"id": "c97fc88a-b2f7-4c27-b952-16d537c7cba9",
"name": "FB news LC"
},
{
"parameters": {
"rule": {
"interval": [
{
"triggerAtHour": 9
},
{
"triggerAtHour": 21
}
]
}
},
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1.2,
"position": [
-384,
80
],
"id": "4ea505ba-4152-4a34-9684-dd2d69a11aeb",
"name": "FB AI news LC"
},
{
"parameters": {
"rule": {
"interval": [
{
"field": "cronExpression",
"expression": "0 0 16 * * 2,6"
}
]
}
},
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1.2,
"position": [
-384,
464
],
"id": "5d8db2d0-c748-4234-8c42-36659e2141bc",
"name": "FB Analysis LC"
},
{
"parameters": {
"rule": {
"interval": [
{
"field": "cronExpression",
"expression": "0 0 16 * * 1,4"
}
]
}
},
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1.2,
"position": [
-384,
272
],
"id": "5acd89b1-2f92-48a7-b630-cf8b7178b38d",
"name": "FB Analysis AI LC"
},
{
"parameters": {
"documentId": {
"__rl": true,
"value": "1fTKz8sabXOio65TmoqctZUDCtVR8hj8_zEXsJ_o_zVA",
"mode": "list",
"cachedResultName": "Multimedia Content",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1fTKz8sabXOio65TmoqctZUDCtVR8hj8_zEXsJ_o_zVA/edit?usp=drivesdk"
},
"sheetName": {
"__rl": true,
"value": "gid=0",
"mode": "list",
"cachedResultName": "Sheet1",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1fTKz8sabXOio65TmoqctZUDCtVR8hj8_zEXsJ_o_zVA/edit#gid=0"
},
"filtersUI": {
"values": [
{
"lookupColumn": "FB status",
"lookupValue": "pending"
},
{
"lookupColumn": "B\u00e0i vi\u1ebft t\u1eeb k\u00eanh",
"lookupValue": "News"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4.7,
"position": [
-160,
-112
],
"id": "884e41fe-8cdd-4ec8-9432-047ccbea1dd0",
"name": "Get row(s) in sheet",
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"documentId": {
"__rl": true,
"value": "1fTKz8sabXOio65TmoqctZUDCtVR8hj8_zEXsJ_o_zVA",
"mode": "list",
"cachedResultName": "Multimedia Content",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1fTKz8sabXOio65TmoqctZUDCtVR8hj8_zEXsJ_o_zVA/edit?usp=drivesdk"
},
"sheetName": {
"__rl": true,
"value": "gid=0",
"mode": "list",
"cachedResultName": "Sheet1",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1fTKz8sabXOio65TmoqctZUDCtVR8hj8_zEXsJ_o_zVA/edit#gid=0"
},
"filtersUI": {
"values": [
{
"lookupColumn": "B\u00e0i vi\u1ebft t\u1eeb k\u00eanh",
"lookupValue": "AI news"
},
{
"lookupColumn": "FB status",
"lookupValue": "pending"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4.7,
"position": [
-160,
176
],
"id": "f7b260ae-1699-4e80-9532-61e17943ccac",
"name": "Get row(s) in sheet1",
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"documentId": {
"__rl": true,
"value": "1fTKz8sabXOio65TmoqctZUDCtVR8hj8_zEXsJ_o_zVA",
"mode": "list",
"cachedResultName": "Multimedia Content",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1fTKz8sabXOio65TmoqctZUDCtVR8hj8_zEXsJ_o_zVA/edit?usp=drivesdk"
},
"sheetName": {
"__rl": true,
"value": "gid=0",
"mode": "list",
"cachedResultName": "Sheet1",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1fTKz8sabXOio65TmoqctZUDCtVR8hj8_zEXsJ_o_zVA/edit#gid=0"
},
"filtersUI": {
"values": [
{
"lookupColumn": "B\u00e0i vi\u1ebft t\u1eeb k\u00eanh",
"lookupValue": "Analysis"
},
{
"lookupColumn": "FB status",
"lookupValue": "pending"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4.7,
"position": [
-160,
464
],
"id": "95a84986-97eb-476a-af1d-d8659126689e",
"name": "Get row(s) in sheet3",
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "1e149af3-39b4-4caf-800e-f1ad70612925",
"leftValue": "={{ $json.category }}",
"rightValue": "news",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
288,
-32
],
"id": "1af14c57-78c2-49d8-9bfb-ceb1620a3f92",
"name": "If"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "d28cf415-91e3-46c1-ae03-ddeb15a28160",
"name": "prompt",
"value": "=B\u1ea1n l\u00e0 **Content Writer Gen Z c\u1ee7a Learning Chain**, c\u00f3 nhi\u1ec7m v\u1ee5 cung c\u1ea5p tin t\u1ee9c nhanh, l\u00f4i cu\u1ed1n, nh\u01b0ng v\u1eabn c\u00f3 g\u00f3c nh\u00ecn th\u1eb3ng th\u1eafn, **th\u00e2n m\u1eadt** v\u1edbi ng\u01b0\u1eddi \u0111\u1ecdc. * **Phong c\u00e1ch:** Th\u00e2n thi\u1ec7n, g\u1ea7n g\u0169i (nh\u01b0 n\u00f3i chuy\u1ec7n v\u1edbi \"anh em\"), s\u1eed d\u1ee5ng icon h\u1ee3p l\u00fd, t\u1ed1c \u0111\u1ed9 nhanh. Ng\u00f4n ng\u1eef **ho\u00e0n to\u00e0n t\u1ef1 nhi\u00ean**, kh\u00f4ng d\u00f9ng bi\u1ec7t ng\u1eef AI/GPT, \u0111\u1ea3m b\u1ea3o ch\u1ea5t l\u01b0\u1ee3ng Human-like. * **M\u1ee5c ti\u00eau:** Cung c\u1ea5p th\u00f4ng tin k\u1ecbp th\u1eddi v\u00e0 duy tr\u00ec s\u1ef1 t\u01b0\u01a1ng t\u00e1c cao. ## 2. \u0110\u1eb7c t\u1ea3 C\u1ea5u tr\u00fac Output (Caption & Title for Thumbnail) Output ph\u1ea3i tu\u00e2n th\u1ee7 nghi\u00eam ng\u1eb7t c\u1ea5u tr\u00fac sau. TUY\u1ec6T \u0110\u1ed0I KH\u00d4NG S\u1eec D\u1ee4NG HTML. ### A. Title (D\u00e0nh cho Thumbnail Image - G\u1eaeN L\u00caN \u1ea2NH) * **\u0110\u1ecbnh d\u1ea1ng:** **2 d\u00f2ng ri\u00eang bi\u1ec7t.** * **D\u00f2ng 1 (T\u00f3m t\u1eaft):** C\u00e2u t\u00f3m t\u1eaft/Gi\u1eadt t\u00edt ng\u1eafn g\u1ecdn (T\u1ed1i \u0111a 7 t\u1eeb). PH\u1ea2I H\u1ea4P D\u1eaaN. * **D\u00f2ng 2 (C\u00e2u h\u1ecfi):** C\u00e2u h\u1ecfi m\u1edf, g\u1ee3i m\u1edf t\u01b0 duy ho\u1eb7c g\u00f3c nh\u00ecn (Kh\u00f4ng qu\u00e1 12 t\u1eeb). ### B. Facebook Caption (Tin T\u1ee9c Nhanh) * **C\u1ea5u tr\u00fac:** Ph\u1ea3i c\u00f3 3-4 \u0111o\u1ea1n r\u00f5 r\u00e0ng (Ph\u00e2n t\u00e1ch b\u1eb1ng 2 k\u00fd t\u1ef1 xu\u1ed1ng d\u00f2ng `\\n\\n`). 1. **Ti\u00eau \u0111\u1ec1 H\u1ea5p d\u1eabn (1 d\u00f2ng):** S\u1eed d\u1ee5ng Icon (v\u00ed d\u1ee5: \ud83d\udd25, \ud83d\udca1). 2. **T\u00f3m t\u1eaft Tin t\u1ee9c Nhanh:** Ch\u1eaft l\u1ecdc nhanh c\u00e1c \u0111i\u1ec3m ch\u00ednh t\u1eeb RAW_CONTENT (s\u1eed d\u1ee5ng ng\u00f4n ng\u1eef th\u00e2n m\u1eadt \"anh em\"). 3. **G\u00f3c nh\u00ecn Learning Chain:** \u0110\u01b0a ra 1-2 c\u00e2u nh\u1eadn x\u00e9t/g\u00f3c nh\u00ecn ng\u1eafn **mang t\u00ednh ch\u1ea5t c\u00e1 nh\u00e2n** (v\u00ed d\u1ee5: \"\u0110i\u1ec1u n\u00e0y cho th\u1ea5y...\", \"Theo m\u00ecnh th\u00ec...\"). 4. **CTA & Hashtag:** C\u00e2u h\u1ecfi th\u00e2n thi\u1ec7n, khuy\u1ebfn kh\u00edch th\u1ea3o lu\u1eadn **(DUY NH\u1ea4T 1 c\u00e2u h\u1ecfi)**. S\u1eed d\u1ee5ng **T\u1ed0I \u0110A 5 Hashtag** (bao g\u1ed3m #learningchain v\u00e0 ph\u1ea3i \u1edf 1 d\u00f2ng ri\u00eang bi\u1ec7t cu\u1ed1i c\u00f9ng). * **\u0110\u1ed9 d\u00e0i:** T\u1ed5ng b\u00e0i vi\u1ebft ** NG\u1eaeN**, kh\u00f4ng qu\u00e1 500 t\u1eeb. ## 3. D\u1eef li\u1ec7u \u0110\u1ea7u v\u00e0o (Input Variables) ### RAW_CONTENT {{ $json['n\u1ed9i dung raw '] }}\n\noutput tu\u00e2n theo json:\n\n{\n \"content\": \"n\u1ed9i dung b\u00e0i \u0111\u0103ng\",\n \"top\": \"title top\",\n \"bottom\": \"tittle bottom\"\n}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
512,
-128
],
"id": "7494f51e-550e-47a5-af89-22aedbe92891",
"name": "prompt_news"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "5f28bfa3-0c0e-4a9b-b5ce-5e5eb5e92631",
"name": "prompt",
"value": "=B\u1ea1n l\u00e0 **Chuy\u00ean gia Ph\u00e2n t\u00edch C\u1ea5p cao c\u1ee7a Learning Chain** (C\u00f4ng ty truy\u1ec1n th\u00f4ng & gi\u00e1o d\u1ee5c v\u1ec1 AI/Crypto). Nhi\u1ec7m v\u1ee5 c\u1ee7a b\u1ea1n l\u00e0 bi\u1ebfn n\u1ed9i dung th\u00f4 (RAW_CONTENT) th\u00e0nh m\u1ed9t b\u00e0i ph\u00e2n t\u00edch chuy\u00ean s\u00e2u, c\u00f3 g\u00f3c nh\u00ecn, nh\u1eadn \u0111\u1ecbnh ri\u00eang, mang t\u00ednh gi\u00e1o d\u1ee5c v\u00e0 t\u01b0 duy. * **Phong c\u00e1ch:** Chuy\u00ean nghi\u1ec7p, s\u1eafc s\u1ea3o, c\u00f3 t\u00ednh thuy\u1ebft ph\u1ee5c cao. Ng\u00f4n ng\u1eef **ho\u00e0n to\u00e0n t\u1ef1 nhi\u00ean**, kh\u00f4ng d\u00f9ng bi\u1ec7\nt ng\u1eef AI/GPT, \u0111\u1ea3m b\u1ea3o ng\u01b0\u1eddi \u0111\u1ecdc kh\u00f4ng th\u1ec3 ph\u00e2n bi\u1ec7t \u0111\u01b0\u1ee3c AI hay ng\u01b0\u1eddi vi\u1ebft (Human-like Quality). * **M\u1ee5c ti\u00eau:** \u0110\u1ecbnh v\u1ecb Learning Chain l\u00e0 ngu\u1ed3n ki\u1ebfn th\u1ee9c \u0111\u00e1ng tin c\u1eady. ## 2. \u0110\u1eb7c t\u1ea3 C\u1ea5u tr\u00fac Output (Caption & Title for Thumbnail) Output ph\u1ea3i tu\u00e2n th\u1ee7 nghi\u00eam ng\u1eb7t c\u1ea5u tr\u00fac sau. TUY\u1ec6T \u0110\u1ed0I KH\u00d4NG S\u1eec D\u1ee4NG HTML. ### A. Title (D\u00e0nh cho Thumbnail Image - G\u1eaeN L\u00caN \u1ea2NH) * **\u0110\u1ecbnh d\u1ea1ng:** **2 d\u00f2ng ri\u00eang bi\u1ec7t.** * **D\u00f2ng 1 (T\u00f3m t\u1eaft):** C\u00e2u t\u00f3m t\u1eaft/Gi\u1eadt t\u00edt ng\u1eafn g\u1ecdn (T\u1ed1i \u0111a 7 t\u1eeb). PH\u1ea2I H\u1ea4P D\u1eaaN. * **D\u00f2ng 2 (C\u00e2u h\u1ecfi):** C\u00e2u h\u1ecfi m\u1edf, g\u1ee3i m\u1edf t\u01b0 duy ho\u1eb7c g\u00f3c nh\u00ecn (Kh\u00f4ng qu\u00e1 15 t\u1eeb). ### B. Facebook Caption (Ph\u00e2n t\u00edch Chuy\u00ean s\u00e2u) * **C\u1ea5u tr\u00fac:** Ph\u1ea3i c\u00f3 4 ph\u1ea7n r\u00f5 r\u00e0ng (Ph\u00e2n t\u00e1ch b\u1eb1ng 2 k\u00fd t\u1ef1 xu\u1ed1ng d\u00f2ng `\\n\\n`). 1. **M\u1edf b\u00e0i:** \u0110\u1eb7t v\u1ea5n \u0111\u1ec1, gi\u1edbi thi\u1ec7u ch\u1ee7 \u0111\u1ec1 m\u1ed9t c\u00e1ch thu h\u00fat. 2. **Ph\u00e2n t\u00edch/Nh\u1eadn \u0111\u1ecbnh S\u00e2u:** Tr\u00ecnh b\u00e0y c\u00e1c \u00fd ch\u00ednh t\u1eeb RAW_CONTENT v\u00e0 **l\u1ed3ng gh\u00e9p nh\u1eadn \u0111\u1ecbnh/b\u00e0i h\u1ecdc t\u01b0 duy** c\u1ee7a Learning Chain. 3. **H\u00e0nh \u0111\u1ed9ng/B\u00e0i h\u1ecdc:** K\u1ebft lu\u1eadn v\u1ec1 \u00fd ngh\u0129a, b\u00e0i h\u1ecdc r\u00fat ra, ho\u1eb7c d\u1ef1 b\u00e1o d\u00e0i h\u1ea1n. 4. **CTA & Hashtag:** C\u00e2u h\u1ecfi th\u00e2n thi\u1ec7n, khuy\u1ebfn kh\u00edch th\u1ea3o lu\u1eadn **(DUY NH\u1ea4T 1 c\u00e2u h\u1ecfi)**. S\u1eed d\u1ee5ng **T\u1ed0I \u0110A 5 Hashtag** (bao g\u1ed3m #learningchain v\u00e0 ph\u1ea3i \u1edf 1 d\u00f2ng ri\u00eang bi\u1ec7t cu\u1ed1i c\u00f9ng). * **\u0110\u1ed9 d\u00e0i:** T\u1ed5ng b\u00e0i vi\u1ebft kh\u00f4ng qu\u00e1 800 t\u1eeb (\u01afu ti\u00ean 400-600 t\u1eeb). ## 3. D\u1eef li\u1ec7u \u0110\u1ea7u v\u00e0o (Input Variables) ### RAW_CONTENT### RAW_CONTENT {{ $json['n\u1ed9i dung raw '] }} \n\noutput tu\u00e2n theo json: \n{ \n\"content\": \"n\u1ed9i dung b\u00e0i \u0111\u0103ng l\u01b0u \u00fd 1 b\u00e0i \u0111\u0103ng ho\u00e0n ch\u1ec9nh, s\u1eb5n s\u00e0ng \u0111\u0103ng l\u1eadp t\u1ee9c, tr\u00e1nh c\u00e1c nh\u00e3n n\u1ed9i b\u1ed9 nh\u01b0 CTA & Hashtag, m\u1edf b\u00e0i, th\u00e2n b\u00e0i , v.v\", \n\"top\": \"title top\", \n\"bottom\": \"tittle bottom\" \n}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
512,
112
],
"id": "0450a77b-5097-4814-aa59-e93cf64611f3",
"name": "prompt_analysis"
},
{
"parameters": {
"model": {
"__rl": true,
"value": "gpt-5-mini",
"mode": "list",
"cachedResultName": "gpt-5-mini"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.2,
"position": [
800,
96
],
"id": "034a0526-c767-40ce-b48f-f579ae42912a",
"name": "OpenAI Chat Model",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"schemaType": "manual",
"inputSchema": "\n{\n \"content\": \"n\u1ed9i dung b\u00e0i \u0111\u0103ng\",\n \"top\": \"title top\",\n \"bottom\": \"tittle bottom\"\n}"
},
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"typeVersion": 1.3,
"position": [
928,
96
],
"id": "256f3b70-d83f-4938-8b97-ef76fc500708",
"name": "Structured Output Parser"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "529663a1-a98c-43fa-a4b5-853539162c8c",
"leftValue": "={{ $('l\u1ecdc d\u1eef li\u1ec7u').item.json.field }}",
"rightValue": "crypto",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
1424,
176
],
"id": "ef5a16f9-35eb-423f-abfa-beda4340ab47",
"name": "If1"
},
{
"parameters": {
"operation": "download",
"fileId": {
"__rl": true,
"value": "1AQ6ldv0L74He_7S7uvHmzbD0LSsN9y9b",
"mode": "list",
"cachedResultName": "fb.jpg",
"cachedResultUrl": "https://drive.google.com/file/d/1AQ6ldv0L74He_7S7uvHmzbD0LSsN9y9b/view?usp=drivesdk"
},
"options": {}
},
"type": "n8n-nodes-base.googleDrive",
"typeVersion": 3,
"position": [
1648,
80
],
"id": "dc0ff672-75b3-4dc8-85cb-b29b1d8e9a50",
"name": "Download file",
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"mode": "combine",
"combineBy": "combineByPosition",
"options": {}
},
"type": "n8n-nodes-base.merge",
"typeVersion": 3.2,
"position": [
1200,
176
],
"id": "fadc03c4-5efb-4174-aecf-2aee8af9d794",
"name": "Merge"
},
{
"parameters": {
"language": "python",
"pythonCode": "\nimport os\nimport sys\nimport json\nimport re\nfrom datetime import datetime\ntry:\n from zoneinfo import ZoneInfo\n tz = ZoneInfo(\"Asia/Ho_Chi_Minh\")\nexcept Exception:\n try:\n import pytz\n tz = pytz.timezone(\"Asia/Ho_Chi_Minh\")\n except Exception:\n tz = None # will use system localtime\n\ninput = _input.all()[-1]\n\ndef vn_weekday_name(dt):\n wd = dt.weekday() \n mapping = {\n 0: \"Th\u1ee9 2\",\n 1: \"Th\u1ee9 3\",\n 2: \"Th\u1ee9 4\",\n 3: \"Th\u1ee9 5\",\n 4: \"Th\u1ee9 6\",\n 5: \"Th\u1ee9 7\",\n 6: \"Ch\u1ee7 nh\u1eadt\"\n }\n return mapping.get(wd, \"\")\n\ndef format_vn_datetime(dt):\n\n day_name = vn_weekday_name(dt)\n d = dt.day\n m = dt.month\n y = dt.year\n date_str = f\"{d}/{m}/{y}\"\n return f\"{day_name}, {date_str}\"\n\ndef detect_topic_pair(title):\n \"\"\"\n Tr\u1ea3 v\u1ec1 dict: {\"category\": ..., \"topic\": ...}\n - category: \"news\" | \"analysis\" | \"other\" (\u01b0u ti\u00ean)\n - topic: \"ai\" | \"crypto\"\n \"\"\"\n if not title:\n return {\"category\": \"other\", \"topic\": \"crypto\"}\n\n txt = title.lower()\n\n # Word-boundary checks (primary)\n has_news = bool(re.search(r'(?<!\\w)news(?!\\w)', txt, flags=re.IGNORECASE))\n has_analysis = bool(re.search(r'(?<!\\w)analysis(?!\\w)', txt, flags=re.IGNORECASE))\n has_ai = bool(re.search(r'(?<!\\w)ai(?!\\w)', txt, flags=re.IGNORECASE))\n\n # Fallback substring checks (looser) if word-boundary didn't match\n if not has_news and \"news\" in txt:\n has_news = True\n if not has_analysis and \"analysis\" in txt:\n has_analysis = True\n if not has_ai and \"ai\" in txt:\n has_ai = True\n\n # category priority: news -> analysis -> other\n if has_news:\n category = \"news\"\n elif has_analysis:\n category = \"analysis\"\n else:\n category = \"other\"\n\n # topic: ai if ai present, else crypto\n topic = \"ai\" if has_ai else \"crypto\"\n\n return category, topic\n\ndef now_with_tz():\n if tz:\n try:\n return datetime.now(tz)\n except Exception:\n return datetime.now()\n else:\n return datetime.now()\n\ntitle = input.json[\"B\u00e0i vi\u1ebft t\u1eeb k\u00eanh\"]\ndt = now_with_tz()\ndate_display = format_vn_datetime(dt)\ncategory, topic = detect_topic_pair(title)\n\ninput.json.datetime_vn = date_display\ninput.json.field = topic\ninput.json.category = category\nreturn input"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
64,
176
],
"id": "f3de9c0d-0faf-406e-bbd3-399333f529d1",
"name": "l\u1ecdc d\u1eef li\u1ec7u"
},
{
"parameters": {
"httpRequestMethod": "POST",
"graphApiVersion": "v23.0",
"node": "me",
"edge": "photos",
"options": {
"queryParameters": {
"parameter": [
{
"name": "message",
"value": "={{ $('t\u1ea1o content cu\u1ed1i c\u00f9ng').item.json.output.content }}"
},
{
"name": "url",
"value": "={{ $json.image_url }}"
}
]
}
}
},
"type": "n8n-nodes-base.facebookGraphApi",
"typeVersion": 1,
"position": [
2096,
176
],
"id": "9070a66d-e960-4d89-86d1-50669dc6d919",
"name": "Learning chain vietnam",
"credentials": {
"facebookGraphApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"template_id": {
"__rl": true,
"value": "nkjllkaujfdbw",
"mode": "list",
"cachedResultName": "FB AI"
},
"layers": {
"layerItems": [
{
"layerId": "main_image|picture",
"property": "image",
"imageValue": "={{ $json.data.task_result.images[0].url }}"
},
{
"layerId": "time|text",
"property": "text",
"textValue": "={{ $('l\u1ecdc d\u1eef li\u1ec7u').item.json.datetime_vn }}"
},
{
"layerId": "thumbnail_top|text",
"valueValue": "={{ $('t\u1ea1o content cu\u1ed1i c\u00f9ng').item.json.output.top }}"
},
{
"layerId": "thumbnail_bottom|text",
"valueValue": "={{ $('t\u1ea1o content cu\u1ed1i c\u00f9ng').item.json.output.bottom }}"
}
]
},
"additionalFields": {}
},
"type": "n8n-nodes-placid.placid",
"typeVersion": 1,
"position": [
1872,
368
],
"id": "e5faa08e-ab19-470f-9a80-0caa0ad69c3f",
"name": "AI",
"credentials": {
"placidApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"template_id": {
"__rl": true,
"value": "nkjllkaujfdbw",
"mode": "list",
"cachedResultName": "FB AI"
},
"layers": {
"layerItems": [
{
"layerId": "New picture layer|picture",
"property": "imageBinary",
"imageBinaryValue": "data"
},
{
"layerId": "main_image|picture",
"property": "image",
"imageValue": "={{ $json.data.task_result.images[0].url }}"
},
{
"layerId": "time|text",
"property": "text",
"textValue": "={{ $('l\u1ecdc d\u1eef li\u1ec7u').item.json.datetime_vn }}"
},
{
"layerId": "thumbnail_bottom|text",
"property": "text",
"textValue": "={{ $('t\u1ea1o content cu\u1ed1i c\u00f9ng').item.json.output.bottom }}"
},
{
"layerId": "thumbnail_top|text",
"property": "text",
"textValue": "={{ $('t\u1ea1o content cu\u1ed1i c\u00f9ng').item.json.output.top }}"
}
]
},
"additionalFields": {}
},
"type": "n8n-nodes-placid.placid",
"typeVersion": 1,
"position": [
1872,
80
],
"id": "347b6123-d5a6-4fc4-bcd5-6a5d637eeac3",
"name": "Crypto",
"credentials": {
"placidApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"httpRequestMethod": "POST",
"graphApiVersion": "v23.0",
"node": "me",
"edge": "photos",
"options": {
"queryParameters": {
"parameter": [
{
"name": "message",
"value": "={{ $('t\u1ea1o content cu\u1ed1i c\u00f9ng').item.json.output.content }}"
},
{
"name": "url",
"value": "={{ $json.image_url }}"
}
]
}
}
},
"type": "n8n-nodes-base.facebookGraphApi",
"typeVersion": 1,
"position": [
2096,
-16
],
"id": "1c65c9fb-cefc-4477-8f84-47e6bc805a52",
"name": "Learning chain academy",
"credentials": {
"facebookGraphApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"httpRequestMethod": "POST",
"graphApiVersion": "v23.0",
"node": "me",
"edge": "photos",
"options": {
"queryParameters": {
"parameter": [
{
"name": "message",
"value": "={{ $('t\u1ea1o content cu\u1ed1i c\u00f9ng').item.json.output.content }}"
},
{
"name": "url",
"value": "={{ $json.image_url }}"
}
]
}
}
},
"type": "n8n-nodes-base.facebookGraphApi",
"typeVersion": 1,
"position": [
2096,
368
],
"id": "a3dfbb7f-c72f-4cb0-bb11-9ce8fdd8edf7",
"name": "H\u1ecdc vi\u1ec7n LC",
"credentials": {
"facebookGraphApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "update",
"documentId": {
"__rl": true,
"value": "1fTKz8sabXOio65TmoqctZUDCtVR8hj8_zEXsJ_o_zVA",
"mode": "list",
"cachedResultName": "Multimedia Content",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1fTKz8sabXOio65TmoqctZUDCtVR8hj8_zEXsJ_o_zVA/edit?usp=drivesdk"
},
"sheetName": {
"__rl": true,
"value": "gid=0",
"mode": "list",
"cachedResultName": "Sheet1",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1fTKz8sabXOio65TmoqctZUDCtVR8hj8_zEXsJ_o_zVA/edit#gid=0"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"row_number": "={{ $('l\u1ecdc d\u1eef li\u1ec7u').item.json.row_number }}",
"FB status": "done"
},
"matchingColumns": [
"row_number"
],
"schema": [
{
"id": "B\u00e0i vi\u1ebft t\u1eeb k\u00eanh",
"displayName": "B\u00e0i vi\u1ebft t\u1eeb k\u00eanh",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": true
},
{
"id": "Tittle b\u00e0i vi\u1ebft g\u1ed1c",
"displayName": "Tittle b\u00e0i vi\u1ebft g\u1ed1c",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": true
},
{
"id": "Link b\u00e0i vi\u1ebft g\u1ed1c",
"displayName": "Link b\u00e0i vi\u1ebft g\u1ed1c",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": true
},
{
"id": "Tittle b\u00e0i vi\u1ebft m\u1edbi",
"displayName": "Tittle b\u00e0i vi\u1ebft m\u1edbi",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": true
},
{
"id": "n\u1ed9i dung raw ",
"displayName": "n\u1ed9i dung raw ",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": true
},
{
"id": "meta_description",
"displayName": "meta_description",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": true
},
{
"id": "suggest tags",
"displayName": "suggest tags",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": true
},
{
"id": "key_word",
"displayName": "key_word",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": true
},
{
"id": "slug",
"displayName": "slug",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": true
},
{
"id": "thumbnail_url",
"displayName": "thumbnail_url",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": true
},
{
"id": "N\u1ed9i dung b\u00e0i vi\u1ebft m\u1edbi (HTML)",
"displayName": "N\u1ed9i dung b\u00e0i vi\u1ebft m\u1edbi (HTML)",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": true
},
{
"id": "tele status",
"displayName": "tele status",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": true
},
{
"id": "FB status",
"displayName": "FB status",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Web status",
"displayName": "Web status",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": true
},
{
"id": "Web link",
"displayName": "Web link",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": true
},
{
"id": "row_number",
"displayName": "row_number",
"required": false,
"defaultMatch": false,
"display": true,
"type": "number",
"canBeUsedToMatch": true,
"readOnly": true,
"removed": false
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {}
},
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4.7,
"position": [
2320,
272
],
"id": "85e1a18b-0ae9-4ac4-bf15-439124c16a91",
"name": "Update row in sheet",
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"promptType": "define",
"text": "={{ $json.prompt }}",
"hasOutputParser": true,
"batching": {}
},
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"typeVersion": 1.7,
"position": [
800,
-128
],
"id": "ba24883f-08b2-4dcc-8b44-a86d613d3dba",
"name": "t\u1ea1o content cu\u1ed1i c\u00f9ng"
},
{
"parameters": {
"promptType": "define",
"text": "=# Prompt T\u1ed1i \u01afu cho AI Agent: Quy\u1ebft \u0110\u1ecbnh Tool & Tr\u1ea3 v\u1ec1 URL \u1ea2nh Cu\u1ed1i C\u00f9ng (Simplified)\n\n## 1. Vai Tr\u00f2 v\u00e0 M\u1ee5c ti\u00eau (Role & Persona)\nB\u1ea1n l\u00e0 **Tr\u01b0\u1edfng nh\u00f3m Content Strategist Agent** c\u1ee7a Learning Chain. Nhi\u1ec7m v\u1ee5 duy nh\u1ea5t v\u00e0 cu\u1ed1i c\u00f9ng c\u1ee7a b\u1ea1n l\u00e0 cung c\u1ea5p **DUY NH\u1ea4T 1 URL** c\u1ee7a h\u00ecnh \u1ea3nh t\u1ed1i \u01b0u nh\u1ea5t \u0111\u1ec3 minh h\u1ecda cho RAW_CONTENT. B\u1ea1n ph\u1ea3i quy\u1ebft \u0111\u1ecbnh s\u1eed d\u1ee5ng 1 trong 2 c\u00f4ng c\u1ee5 c\u00f3 s\u1eb5n:\n1. **'Run an Actor and get dataset in Apify' (Apify Crawl):** \u0110\u1ec3 t\u00ecm ki\u1ebfm (Crawl) h\u00ecnh \u1ea3nh th\u1ef1c t\u1ebf, li\u00ean quan \u0111\u1ebfn ng\u01b0\u1eddi, t\u1ed5 ch\u1ee9c, ho\u1eb7c s\u1ef1 ki\u1ec7n c\u00f3 th\u1eadt.\n2. **'Call 't\u1ea1o \u1ea3nh'' Tool (Generate):** \u0110\u1ec3 t\u1ea1o h\u00ecnh \u1ea3nh m\u1edbi, ph\u00f9 h\u1ee3p v\u1edbi c\u00e1c kh\u00e1i ni\u1ec7m tr\u1eebu t\u01b0\u1ee3ng, ph\u00e2n t\u00edch th\u1ecb tr\u01b0\u1eddng, v.v.\n\n## 2. Quy T\u1eafc Quy\u1ebft \u0110\u1ecbnh C\u00f4ng C\u1ee5 (Conditional Tool Use - Simplified)\n1. **S\u1eed d\u1ee5ng Apify Crawl:** N\u1ebfu RAW_CONTENT \u0111\u1ec1 c\u1eadp \u0111\u1ebfn **t\u00ean ng\u01b0\u1eddi c\u1ee5 th\u1ec3, t\u1ed5 ch\u1ee9c, ho\u1eb7c tin t\u1ee9c/s\u1ef1 ki\u1ec7n th\u1ef1c t\u1ebf** c\u1ea7n h\u00ecnh \u1ea3nh minh h\u1ecda ch\u00e2n th\u1ef1c.\n * **Tool Input:** B\u1ea1n ph\u1ea3i t\u1ea1o m\u1ed9t **Input JSON** (chu\u1ea9n cho Apify Actor Google Images Scraper) ch\u1ee9a **5 Query t\u00ecm ki\u1ebfm h\u00ecnh \u1ea3nh t\u1ed1t nh\u1ea5t** (Ti\u1ebfng Anh, ch\u00ednh x\u00e1c, kh\u00f4ng tr\u00f9ng l\u1eb7p) \u0111\u1ec3 t\u1ed1i \u0111a h\u00f3a \u0111\u1ed9 li\u00ean quan.\n2. **S\u1eed d\u1ee5ng 'Call 't\u1ea1o \u1ea3nh'' (Generate):** N\u1ebfu RAW_CONTENT \u0111\u1ec1 c\u1eadp \u0111\u1ebfn **kh\u00e1i ni\u1ec7m tr\u1eebu t\u01b0\u1ee3ng, d\u1ef1 b\u00e1o th\u1ecb tr\u01b0\u1eddng, chi\u1ebfn l\u01b0\u1ee3c, ho\u1eb7c ph\u00e2n t\u00edch v\u0129 m\u00f4** kh\u00f4ng d\u1ec5 t\u00ecm th\u1ea5y h\u00ecnh \u1ea3nh minh h\u1ecda th\u1ef1c t\u1ebf.\n * **Tool Input:** B\u1ea1n ch\u1ec9 c\u1ea7n truy\u1ec1n tr\u1ef1c ti\u1ebfp `RAW_CONTENT` v\u00e0o Tool. (Tool t\u1ef1 x\u1eed l\u00fd Prompt Sinh \u1ea2nh).\n\n## 3. Quy Tr\u00ecnh v\u00e0 R\u00e0ng Bu\u1ed9c \u0110\u1ea7u ra (Final Output Constraint)\n1. **Th\u1ef1c thi:** B\u1ea1n **ph\u1ea3i ch\u1ecdn v\u00e0 s\u1eed d\u1ee5ng DUY NH\u1ea4T 1 trong 2 Tool** \u0111\u1ec3 ho\u00e0n th\u00e0nh nhi\u1ec7m v\u1ee5.\n2. **\u0110\u1ea7u ra cu\u1ed1i c\u00f9ng:** B\u1eaeT BU\u1ed8C ph\u1ea3i l\u00e0 **DUY NH\u1ea4T m\u1ed9t URL \u1ea3nh h\u1ee3p l\u1ec7** \u0111\u01b0\u1ee3c tr\u1ea3 v\u1ec1 t\u1eeb Tool b\u1ea1n ch\u1ecdn.\n3. **Lo\u1ea1i tr\u1eeb:** Tuy\u1ec7t \u0111\u1ed1i **kh\u00f4ng gi\u1ea3i th\u00edch, kh\u00f4ng v\u0103n b\u1ea3n b\u1ed5 sung, kh\u00f4ng JSON/HTML**. Ch\u1ec9 tr\u1ea3 v\u1ec1 URL.\n\n## 4. D\u1eef li\u1ec7u \u0110\u1ea7u v\u00e0o (Input Variables)\n\n### RAW_CONTENT\n\n{{ $json['n\u1ed9i dung raw '] }}\n\n## 5. L\u1ec7nh Th\u1ef1c thi\nPh\u00e2n t\u00edch RAW_CONTENT. Quy\u1ebft \u0111\u1ecbnh s\u1eed d\u1ee5ng **Chu\u1ed7i Apify** hay **'Call 't\u1ea1o \u1ea3nh'** Tool, th\u1ef1c thi Tool \u0111\u00f3, v\u00e0 **tr\u1ea3 v\u1ec1 URL \u1ea3nh cu\u1ed1i c\u00f9ng**.",
"hasOutputParser": true,
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 2.2,
"position": [
1312,
-544
],
"id": "65d8e37c-6022-4fc0-a058-1ba6711c307a",
"name": "ph\u00e2n t\u00edch chi\u1ebfn l\u01b0\u1ee3c t\u1ea1o \u1ea3nh"
},
{
"parameters": {
"schemaType": "manual",
"inputSchema": "{\n \"url\": \"url \u1ea3nh h\u1ee3p l\u00ed nh\u1ea5t\"\n}"
},
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"typeVersion": 1.3,
"position": [
1584,
-288
],
"id": "86e1571c-f9a0-45b8-9e0c-5a85928ea124",
"name": "Structured Output Parser1"
},
{
"parameters": {
"description": "Call this tool when you want to create image, input is raw_content",
"workflowId": {
"__rl": true,
"value": "EPr0W7oxcZgcbD4v",
"mode": "list",
"cachedResultUrl": "/workflow/EPr0W7oxcZgcbD4v",
"cachedResultName": "t\u1ea1o \u1ea3nh"
},
"workflowInputs": {
"mappingMode": "defineBelow",
"value": {
"raw_content": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('raw_content', ``, 'string') }}",
"model_name": "kling-v2"
},
"matchingColumns": [],
"schema": [
{
"id": "raw_content",
"displayName": "raw_content",
"required": false,
"defaultMatch": false,
"display": true,
"canBeUsedToMatch": true,
"type": "string",
"removed": false
},
{
"id": "model_name",
"displayName": "model_name",
"required": false,
"defaultMatch": false,
"display": true,
"canBeUsedToMatch": true,
"type": "string",
"removed": false
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
}
},
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"typeVersion": 2.2,
"position": [
1408,
-288
],
"id": "67d9fe03-2aa5-4c47-8ecc-8d05cc9cf798",
"name": "Call 't\u1ea1o \u1ea3nh'"
},
{
"parameters": {
"query": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Query', ``, 'string') }}",
"options": {}
},
"type": "@tavily/n8n-nodes-tavily.tavilyTool",
"typeVersion": 1,
"position": [
1280,
-288
],
"id": "c789bbee-5c1b-4473-9122-e338ab8a7ddd",
"name": "Search in Tavily",
"credentials": {
"tavilyApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"workflowId": {
"__rl": true,
"value": "EPr0W7oxcZgcbD4v",
"mode": "list",
"cachedResultUrl": "/workflow/EPr0W7oxcZgcbD4v",
"cachedResultName": "t\u1ea1o \u1ea3nh"
},
"workflowInputs": {
"mappingMode": "defineBelow",
"value": {
"raw_content": "={{ $json['n\u1ed9i dung raw '] }}",
"model_name": "kling-v2"
},
"matchingColumns": [],
"schema": [
{
"id": "raw_content",
"displayName": "raw_content",
"required": false,
"defaultMatch": false,
"display": true,
"canBeUsedToMatch": true,
"type": "string",
"removed": false
},
{
"id": "model_name",
"displayName": "model_name",
"required": false,
"defaultMatch": false,
"display": true,
"canBeUsedToMatch": true,
"type": "string",
"removed": false
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": true
},
"options": {}
},
"type": "n8n-nodes-base.executeWorkflow",
"typeVersion": 1.3,
"position": [
576,
352
],
"id": "ea74adf0-055b-47e0-9701-9fd714f9dc95",
"name": "Call 't\u1ea1o \u1ea3nh'1"
}
],
"connections": {
"FB news LC": {
"main": [
[
{
"node": "Get row(s) in sheet",
"type": "main",
"index": 0
}
]
]
},
"FB AI news LC": {
"main": [
[
{
"node": "Get row(s) in sheet1",
"type": "main",
"index": 0
}
]
]
},
"FB Analysis AI LC": {
"main": [
[
{
"node": "Get row(s) in sheet1",
"type": "main",
"index": 0
}
]
]
},
"FB Analysis LC": {
"main": [
[
{
"node": "Get row(s) in sheet3",
"type": "main",
"index": 0
}
]
]
},
"Get row(s) in sheet": {
"main": [
[
{
"node": "l\u1ecdc d\u1eef li\u1ec7u",
"type": "main",
"index": 0
}
]
]
},
"Get row(s) in sheet1": {
"main": [
[
{
"node": "l\u1ecdc d\u1eef li\u1ec7u",
"type": "main",
"index": 0
}
]
]
},
"Get row(s) in sheet3": {
"main": [
[
{
"node": "l\u1ecdc d\u1eef li\u1ec7u",
"type": "main",
"index": 0
}
]
]
},
"If": {
"main": [
[
{
"node": "prompt_news",
"type": "main",
"index": 0
}
],
[
{
"node": "prompt_analysis",
"type": "main",
"index": 0
}
]
]
},
"prompt_news": {
"main": [
[
{
"node": "t\u1ea1o content cu\u1ed1i c\u00f9ng",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "t\u1ea1o content cu\u1ed1i c\u00f9ng",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"prompt_analysis": {
"main": [
[
{
"node": "t\u1ea1o content cu\u1ed1i c\u00f9ng",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "t\u1ea1o content cu\u1ed1i c\u00f9ng",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"If1": {
"main": [
[
{
"node": "Download file",
"type": "main",
"index": 0
}
],
[
{
"node": "AI",
"type": "main",
"index": 0
}
]
]
},
"Download file": {
"main": [
[
{
"node": "Crypto",
"type": "main",
"index": 0
}
]
]
},
"Merge": {
"main": [
[
{
"node": "If1",
"type": "main",
"index": 0
}
]
]
},
"l\u1ecdc d\u1eef li\u1ec7u": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
},
{
"node": "Call 't\u1ea1o \u1ea3nh'1",
"type": "main",
"index": 0
}
]
]
},
"Crypto": {
"main": [
[
{
"node": "Learning chain academy",
"type": "main",
"index": 0
},
{
"node": "Learning chain vietnam",
"type": "main",
"index": 0
}
]
]
},
"AI": {
"main": [
[
{
"node": "H\u1ecdc vi\u1ec7n LC",
"type": "main",
"index": 0
}
]
]
},
"Learning chain vietnam": {
"main": [
[
{
"node": "Update row in sheet",
"type": "main",
"index": 0
}
]
]
},
"H\u1ecdc vi\u1ec7n LC": {
"main": [
[
{
"node": "Update row in sheet",
"type": "main",
"index": 0
}
]
]
},
"t\u1ea1o content cu\u1ed1i c\u00f9ng": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser1": {
"ai_outputParser": [
[
{
"node": "ph\u00e2n t\u00edch chi\u1ebfn l\u01b0\u1ee3c t\u1ea1o \u1ea3nh",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Call 't\u1ea1o \u1ea3nh'": {
"ai_tool": [
[
{
"node": "ph\u00e2n t\u00edch chi\u1ebfn l\u01b0\u1ee3c t\u1ea1o \u1ea3nh",
"type": "ai_tool",
"index": 0
}
]
]
},
"Search in Tavily": {
"ai_tool": [
[
{
"node": "ph\u00e2n t\u00edch chi\u1ebfn l\u01b0\u1ee3c t\u1ea1o \u1ea3nh",
"type": "ai_tool",
"index": 0
}
]
]
},
"Call 't\u1ea1o \u1ea3nh'1": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
}
},
"settings": {
"executionOrder": "v1"
},
"staticData": {
"node:FB news LC": {
"recurrenceRules": []
},
"node:FB AI news LC": {
"recurrenceRules": []
},
"node:FB Analysis LC": {
"recurrenceRules": []
},
"node:FB Analysis AI LC": {
"recurrenceRules": []
}
},
"meta": {
"templateCredsSetupCompleted": true
},
"versionId": "73055cc8-c0f1-4697-a494-a8ae48462576",
"triggerCount": 4,
"shared": [
{
"createdAt": "2025-10-05T07:11:55.404Z",
"updatedAt": "2025-10-05T07:11:55.404Z",
"role": "workflow:owner",
"workflowId": "ZOoqmJUlJW8VgAeM",
"projectId": "9HJZe2ZyF9KLloKH"
}
],
"tags": []
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
facebookGraphApigoogleDriveOAuth2ApigoogleSheetsOAuth2ApiopenAiApiplacidApitavilyApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
PostFacebook. Uses googleSheets, lmChatOpenAi, outputParserStructured, googleDrive. Scheduled trigger; 28 nodes.
Source: https://github.com/vtnguyen04/NguyenBlog/blob/c08ecbfc58731cb6c73562e45ef950f9abdc9178/workflows/PostFacebook.json — original creator credit. Request a take-down →
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