AI Facebook広告スパイツール
上級
これはMarket Research, Multimodal AI分野の自動化ワークフローで、29個のノードを含みます。主にWait, Filter, Switch, GoogleDrive, HttpRequestなどのノードを使用。 Apify、OpenAI、Gemini、Google Sheetsを基盤としたAI Facebook広告スパイツール
前提条件
- •Google Drive API認証情報
- •ターゲットAPIの認証情報が必要な場合あり
- •Google Sheets API認証情報
- •OpenAI API Key
使用ノード (29)
ワークフロープレビュー
ノード接続関係を可視化、ズームとパンをサポート
ワークフローをエクスポート
以下のJSON設定をn8nにインポートして、このワークフローを使用できます
{
"id": "FrfJDXvSHBhQrcon",
"meta": {
"instanceId": "d7661a849ead114a9aa6d9ceaf4160465aeb79532a35bde62160c840ffba9fc8",
"templateCredsSetupCompleted": true
},
"name": "AI Facebook Ad Spy Tool",
"tags": [],
"nodes": [
{
"id": "sticky-note-1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1200,
-400
],
"parameters": {
"width": 380,
"height": 200,
"content": "## 🕵️ STEP 1: Facebook Ad Library Scraping\n\nThis workflow extracts competitor ads from Facebook's public ad library:\n\n1. **Run Ad Library Scraper**: Uses Apify to scrape active Facebook ads based on search terms\n2. **Filter For Likes**: Filters out low-quality advertisers (less than 1000 page likes)\n3. **Switch**: Routes ads to different processing paths based on content type\n\n**Setup**: Replace <your-apify-api-key-here> with actual Apify API key and customize search terms"
},
"typeVersion": 1,
"name": ""
},
{
"id": "sticky-note-2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-200,
-800
],
"parameters": {
"width": 420,
"height": 240,
"content": "## 📹 STEP 2: Video Ad Processing Pipeline\n\nFor video ads, this complex pipeline analyzes content:\n\n1. **Download Video**: Gets video file from Facebook\n2. **Upload to Drive**: Stores video for Gemini processing\n3. **Begin Gemini Session**: Initiates video upload to Gemini AI\n4. **Upload to Gemini**: Transfers video for analysis\n5. **Analyze Video**: Uses Gemini's video understanding to describe content\n6. **Generate Summary**: Creates competitor analysis and rewritten ad copy\n\n**Note**: Video processing requires Gemini API for multi-modal analysis"
},
"typeVersion": 1,
"name": ""
},
{
"id": "sticky-note-3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-200,
-100
],
"parameters": {
"width": 400,
"height": 220,
"content": "## 🖼️ STEP 3: Image & Text Ad Processing\n\n**Image Route:**\n• **Analyze Image**: Uses GPT-4 Vision to describe image content\n• **Output Summary**: Generates competitor analysis with image insights\n• **Add as Type = Image**: Stores results with image prompt for recreation\n\n**Text Route:**\n• **Output Text Summary**: Analyzes text-only ads for strategy and messaging\n• **Add as Type = Text**: Stores analysis and rewritten copy\n\n**Result**: Comprehensive competitor intelligence database with recreation prompts"
},
"typeVersion": 1,
"name": ""
},
{
"id": "sticky-note-4",
"type": "n8n-nodes-base.stickyNote",
"position": [
600,
-400
],
"parameters": {
"width": 400,
"height": 220,
"content": "## 💰 BUSINESS VALUE & APPLICATIONS\n\n**Competitive Intelligence:**\n• Analyze competitor ad strategies across text, image, and video formats\n• Track messaging evolution and creative approaches\n• Identify high-performing advertisers (filtered by page likes)\n\n**Revenue Opportunities:**\n• Sell as spy tool service for $2,000+ to marketing agencies\n• Offer competitor analysis reports to PPC clients\n• Use insights for your own ad campaign optimization\n\n**Scalable System**: Process hundreds of ads automatically with detailed analysis"
},
"typeVersion": 1,
"name": ""
},
{
"id": "18536cf3-1626-44ee-95d5-6eb28baa712b",
"name": "クリック時 ‘Execute workflow’",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-1300,
-140
],
"parameters": {},
"typeVersion": 1
},
{
"id": "e201ba62-cc45-45e6-b50c-08f913a27c87",
"name": "スイッチ",
"type": "n8n-nodes-base.switch",
"position": [
-640,
-140
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "Video",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "9dbbe6e7-fd80-44ab-88f0-ab438cfd997e",
"operator": {
"type": "string",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json.snapshot.videos[0].video_sd_url }}",
"rightValue": "=https://video-"
}
]
},
"renameOutput": true
},
{
"outputKey": "Image",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "0b7cee75-ca57-4946-971e-1f526b49324f",
"operator": {
"type": "string",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json.snapshot.images[0].original_image_url }}",
"rightValue": "https://scontent-ho"
}
]
},
"renameOutput": true
}
]
},
"options": {
"fallbackOutput": "extra",
"renameFallbackOutput": "Text"
}
},
"typeVersion": 3.2
},
{
"id": "ca9ee8b5-c562-4339-b6ad-6c7e8d31e4ef",
"name": "フィルター For Likes",
"type": "n8n-nodes-base.filter",
"position": [
-860,
-140
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "c1d74591-13e8-4c79-9a34-117cc6816dfb",
"operator": {
"type": "number",
"operation": "gt"
},
"leftValue": "={{ $json.advertiser.ad_library_page_info.page_info.likes }}",
"rightValue": 1000
}
]
}
},
"typeVersion": 2.2
},
{
"id": "abdf6521-2599-4741-9dab-f6ce60775ec7",
"name": "待機",
"type": "n8n-nodes-base.wait",
"position": [
380,
160
],
"webhookId": "1cda7407-6321-4d8d-b532-19f42514eb63",
"parameters": {
"amount": 1
},
"typeVersion": 1.1
},
{
"id": "56c2f9ea-5427-4cd1-a7ce-0f3b918960d2",
"name": "待機1",
"type": "n8n-nodes-base.wait",
"position": [
640,
-140
],
"webhookId": "1cda7407-6321-4d8d-b532-19f42514eb63",
"parameters": {
"amount": 1
},
"typeVersion": 1.1
},
{
"id": "1b41ce15-b4b1-4189-940e-f4d38062619e",
"name": "Download Video",
"type": "n8n-nodes-base.httpRequest",
"position": [
-120,
-520
],
"parameters": {
"url": "={{ $json.snapshot.videos[0].video_sd_url }}",
"options": {}
},
"typeVersion": 4.2
},
{
"id": "9a1730f8-c73c-4771-a718-a6729f68374c",
"name": "Upload Video to Drive",
"type": "n8n-nodes-base.googleDrive",
"position": [
100,
-520
],
"parameters": {
"name": "Example File",
"driveId": {
"__rl": true,
"mode": "list",
"value": "My Drive"
},
"options": {},
"folderId": {
"__rl": true,
"mode": "list",
"value": "root",
"cachedResultName": "/ (Root folder)"
}
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "8R2NiLt8owCA0E2O",
"name": "Google Drive account"
}
},
"typeVersion": 3
},
{
"id": "decfca56-689f-4332-9813-00edf6ec00b5",
"name": "待機2",
"type": "n8n-nodes-base.wait",
"position": [
2100,
-440
],
"webhookId": "1cda7407-6321-4d8d-b532-19f42514eb63",
"parameters": {
"amount": 1
},
"typeVersion": 1.1
},
{
"id": "6adbf90c-a132-4ef1-88f7-9ab798c955a3",
"name": "Run Ad Library Scraper",
"type": "n8n-nodes-base.httpRequest",
"position": [
-1080,
-140
],
"parameters": {
"url": "https://api.apify.com/v2/acts/XtaWFhbtfxyzqrFmd/run-sync-get-dataset-items",
"method": "POST",
"options": {},
"jsonBody": "{\n \"count\": 200,\n \"period\": \"last7d\",\n \"scrapeAdDetails\": true,\n \"scrapePageAds.activeStatus\": \"active\",\n \"urls\": [\n {\n \"url\": \"https://www.facebook.com/ads/library/?active_status=active&ad_type=all&country=US&is_targeted_country=false&media_type=all&q=%22ai%20automation%22&search_type=keyword_exact_phrase&start_date[min]=2025-06-12&start_date[max]\",\n \"method\": \"GET\"\n }\n ]\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Bearer <yourApiKey>"
},
{
"name": "Accept",
"value": "application/json"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "1380cc04-7732-4070-8306-7c986c513ce7",
"name": "Loop Over Image Ads",
"type": "n8n-nodes-base.splitInBatches",
"position": [
-420,
-140
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "dafb1f75-ba45-4c08-8581-5e6554de9089",
"name": "Loop Over Text Ads",
"type": "n8n-nodes-base.splitInBatches",
"position": [
-420,
160
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "66fc9090-11f2-4da1-bdec-9a24be1f5669",
"name": "Loop Over Video Ads",
"type": "n8n-nodes-base.splitInBatches",
"position": [
-420,
-445
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "2a753af7-acfd-4813-9fc7-1feeae3e38ec",
"name": "Begin Gemini Upload Session",
"type": "n8n-nodes-base.httpRequest",
"position": [
300,
-520
],
"parameters": {
"url": "https://generativelanguage.googleapis.com/upload/v1beta/files",
"method": "POST",
"options": {
"response": {
"response": {
"fullResponse": true
}
}
},
"sendQuery": true,
"sendHeaders": true,
"queryParameters": {
"parameters": [
{
"name": "key",
"value": "<yourApiKey>"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "X-Goog-Upload-Protocol",
"value": "resumable"
},
{
"name": "X-Goog-Upload-Command",
"value": "start"
},
{
"name": "X-Goog-Upload-Header-Content-Length",
"value": "={{ $json.size }}"
},
{
"name": "Content-Type",
"value": "application/json"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "fed903ba-79f3-466f-b1e3-6cc72f05f341",
"name": "Redownload Video",
"type": "n8n-nodes-base.googleDrive",
"position": [
520,
-520
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "id",
"value": "={{ $('Upload Video to Drive').item.json.id }}"
},
"options": {},
"operation": "download"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "8R2NiLt8owCA0E2O",
"name": "Google Drive account"
}
},
"typeVersion": 3
},
{
"id": "bf9a84ef-a025-4d08-bc70-0627c1e5f553",
"name": "Upload Video to Gemini",
"type": "n8n-nodes-base.httpRequest",
"position": [
740,
-520
],
"parameters": {
"url": "={{ $json.headers['x-goog-upload-url'] }}",
"method": "POST",
"options": {},
"sendBody": true,
"sendQuery": true,
"contentType": "binaryData",
"sendHeaders": true,
"queryParameters": {
"parameters": [
{
"name": "key",
"value": "<yourApiKey>"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "Content-Length",
"value": "={{ $('Upload Video to Drive').item.json.size }}"
},
{
"name": "X-Goog-Upload-Offset",
"value": "0"
},
{
"name": "X-Goog-Upload-Command",
"value": "upload, finalize"
}
]
},
"inputDataFieldName": "=data"
},
"typeVersion": 4.2
},
{
"id": "9f389a74-0097-4e4f-847f-c80494d9b8a8",
"name": "Analyze Video with Gemini",
"type": "n8n-nodes-base.httpRequest",
"position": [
1220,
-520
],
"parameters": {
"url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent",
"method": "POST",
"options": {},
"jsonBody": "={\n \"contents\": [\n {\n \"parts\": [\n {\n \"text\": \"Describe this video in excruciating detail. Do not output anything but the description of the video.\"\n },\n {\n \"file_data\": {\n \"mime_type\": \"{{ $json.file.mimeType }}\",\n \"file_uri\": \"{{ $json.file.uri }}\"\n }\n }\n ]\n }\n ]\n}",
"sendBody": true,
"sendQuery": true,
"specifyBody": "json",
"queryParameters": {
"parameters": [
{
"name": "key",
"value": "<yourApiKey>"
}
]
}
},
"retryOnFail": true,
"typeVersion": 4.2,
"waitBetweenTries": 15
},
{
"id": "1528dc3d-fff4-452c-ad42-2d2e9bdf1f4e",
"name": "Output Video Summary",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
1500,
-520
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1",
"cachedResultName": "GPT-4.1"
},
"options": {
"temperature": 0.7
},
"messages": {
"values": [
{
"role": "system",
"content": "You're a helpful, intelligent advertisement analysis bot. You analyze advertisements."
},
{
"content": "Your task is to take as input a scraped javascript object from an advertisement in the FB ad library, and then summarize it + spin (repurpose, rewrite) the ad copy. \n\nYou're doing this for strategic intelligence. We run an advertising agency and we're always looking at what our competitor advertisers are doing.\n\nOutput your results in this JSON format:\n\n{\"summary\":\"\",\"rewrittenAdCopy\":\"\"}\n\nRules:\n- The intended style and attitude is generally analytical, inquisitive, and precise, despite exploring complex topics, in the “classic style” of Western writing.\nthe level of formality should be inverse to the topic’s novelty: the weirder something is, the more formal. For ‘safer’ topics, one should cut loose with the humor, epigraphs, typographical stunts and experiments, etc.\n- Avoid hedging and qualifying, even at the risk of making overly-strong claims. It is a slippery slope.\n- Use casual abbreviations (like San Francisco -> SF, thanks -> thx, question -> q ), casual contractions (like \"I've\"), shortened forms of common nouns (like \"info\", \"vid\", \"app\") as this signals more human written speech. Do not use em dashes (eliminate — from your vocabulary completely!\n- No rhetorical questions.\n- Make your summary extremely comprehensive and analytical."
},
{
"content": "=JSON scrape:\n\n{{ $('Loop Over Video Ads').item.json.toJsonString() }}\n\nVideo description:\n\n{{ $json.candidates[0].content.parts[0].text }}"
}
]
},
"jsonOutput": true
},
"credentials": {
"openAiApi": {
"id": "oLLACDYfGm4C4ouV",
"name": "YouTube "
}
},
"typeVersion": 1.8
},
{
"id": "e3fc12fa-d845-435c-95e7-1fc121f0bb48",
"name": "Add as Type = Video",
"type": "n8n-nodes-base.googleSheets",
"position": [
1860,
-520
],
"parameters": {
"columns": {
"value": {
"type": "video",
"page_id": "={{ $('Loop Over Video Ads').item.json.page_id }}",
"summary": "={{ $json.message.content.summary }}",
"page_url": "={{ $('Loop Over Video Ads').item.json.snapshot.page_profile_uri }}",
"page_name": "={{ $('Loop Over Video Ads').item.json.snapshot.page_name }}",
"date_added": "={{ $now }}",
"image_prompt": "=",
"video_prompt": "={{ $('Analyze Video with Gemini').item.json.candidates[0].content.parts[0].text }}",
"ad_archive_id": "={{ $('Loop Over Video Ads').item.json.ad_archive_id }}",
"rewritten_ad_copy": "={{ $json.message.content.rewrittenAdCopy }}"
},
"schema": [
{
"id": "ad_archive_id",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "ad_archive_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "page_id",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "page_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "type",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "type",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "date_added",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "date_added",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "page_name",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "page_name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "page_url",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "page_url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "summary",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "summary",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "rewritten_ad_copy",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "rewritten_ad_copy",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_prompt",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "image_prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "video_prompt",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "video_prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1Cgm0DfKQxgtsjdw6h2LFVBtZnLAioTntzdXgfJCJIqo/edit#gid=0",
"cachedResultName": "Ads"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1Cgm0DfKQxgtsjdw6h2LFVBtZnLAioTntzdXgfJCJIqo",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1Cgm0DfKQxgtsjdw6h2LFVBtZnLAioTntzdXgfJCJIqo/edit?usp=drivesdk",
"cachedResultName": "Facebook Ad Library Analyzer DB"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "EOibXIc4U8wcXyRR",
"name": "YouTube"
}
},
"typeVersion": 4.6
},
{
"id": "47291e4b-ae46-4bff-8134-8cf330cfb7aa",
"name": "Analyze Image",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
-120,
-220
],
"parameters": {
"text": "What's in this image? Be extremely comprehensive.",
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4o",
"cachedResultName": "GPT-4O"
},
"options": {},
"resource": "image",
"imageUrls": "={{ $json.snapshot.images[0].original_image_url }}",
"operation": "analyze"
},
"credentials": {
"openAiApi": {
"id": "oLLACDYfGm4C4ouV",
"name": "YouTube "
}
},
"typeVersion": 1.8
},
{
"id": "34ee9e0e-4be8-41f2-b3fc-1868ec912fb8",
"name": "Output Image Summary",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
80,
-220
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1",
"cachedResultName": "GPT-4.1"
},
"options": {
"temperature": 0.7
},
"messages": {
"values": [
{
"role": "system",
"content": "You're a helpful, intelligent advertisement analysis bot. You analyze advertisements."
},
{
"content": "Your task is to take as input a scraped javascript object from an advertisement in the FB ad library, and then summarize it + spin (repurpose, rewrite) the ad copy. \n\nYou're doing this for strategic intelligence. We run an advertising agency and we're always looking at what our competitor advertisers are doing.\n\nOutput your results in this JSON format:\n\n{\"summary\":\"\",\"rewrittenAdCopy\":\"\"}\n\nRules:\n- The intended style and attitude is generally analytical, inquisitive, and precise, despite exploring complex topics, in the “classic style” of Western writing.\nthe level of formality should be inverse to the topic’s novelty: the weirder something is, the more formal. For ‘safer’ topics, one should cut loose with the humor, epigraphs, typographical stunts and experiments, etc.\n- Avoid hedging and qualifying, even at the risk of making overly-strong claims. It is a slippery slope.\n- Use casual abbreviations (like San Francisco -> SF, thanks -> thx, question -> q ), casual contractions (like \"I've\"), shortened forms of common nouns (like \"info\", \"vid\", \"app\") as this signals more human written speech. Do not use em dashes (eliminate — from your vocabulary completely!\n- No rhetorical questions.\n- Make your summary extremely comprehensive and analytical."
},
{
"content": "=JSON scrape:\n\n{{ $('Loop Over Image Ads').item.json.toJsonString() }}\n\nImage description:\n\n{{ $json.content }}"
}
]
},
"jsonOutput": true
},
"credentials": {
"openAiApi": {
"id": "oLLACDYfGm4C4ouV",
"name": "YouTube "
}
},
"typeVersion": 1.8
},
{
"id": "522169ec-669f-441a-9d20-3679426d0b9d",
"name": "Add as Type = Image",
"type": "n8n-nodes-base.googleSheets",
"position": [
440,
-220
],
"parameters": {
"columns": {
"value": {
"type": "image",
"page_id": "={{ $('Loop Over Image Ads').item.json.page_id }}",
"summary": "={{ $json.message.content.summary }}",
"page_url": "={{ $('Loop Over Image Ads').item.json.snapshot.page_profile_uri }}",
"page_name": "={{ $('Loop Over Image Ads').item.json.snapshot.page_name }}",
"date_added": "={{ $now }}",
"image_prompt": "={{ $('Analyze Image').item.json.content }}",
"ad_archive_id": "={{ $('Loop Over Image Ads').item.json.ad_archive_id }}",
"rewritten_ad_copy": "={{ $json.message.content.rewrittenAdCopy }}"
},
"schema": [
{
"id": "ad_archive_id",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "ad_archive_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "page_id",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "page_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "type",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "type",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "date_added",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "date_added",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "page_name",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "page_name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "page_url",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "page_url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "summary",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "summary",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "rewritten_ad_copy",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "rewritten_ad_copy",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_prompt",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "image_prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "video_prompt",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "video_prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1Cgm0DfKQxgtsjdw6h2LFVBtZnLAioTntzdXgfJCJIqo/edit#gid=0",
"cachedResultName": "Ads"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1Cgm0DfKQxgtsjdw6h2LFVBtZnLAioTntzdXgfJCJIqo",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1Cgm0DfKQxgtsjdw6h2LFVBtZnLAioTntzdXgfJCJIqo/edit?usp=drivesdk",
"cachedResultName": "Facebook Ad Library Analyzer DB"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "EOibXIc4U8wcXyRR",
"name": "YouTube"
}
},
"typeVersion": 4.6
},
{
"id": "f43bb15e-9c7d-4a97-9a10-7c9ce835f1f6",
"name": "Output Text Summary",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
-200,
80
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1",
"cachedResultName": "GPT-4.1"
},
"options": {
"temperature": 0.7
},
"messages": {
"values": [
{
"role": "system",
"content": "You're a helpful, intelligent advertisement analysis bot. You analyze advertisements."
},
{
"content": "Your task is to take as input a scraped javascript object from an advertisement in the FB ad library, and then summarize it + spin (repurpose, rewrite) the ad copy. \n\nYou're doing this for strategic intelligence. We run an advertising agency and we're always looking at what our competitor advertisers are doing.\n\nOutput your results in this JSON format:\n\n{\"summary\":\"\",\"rewrittenAdCopy\":\"\"}\n\nRules:\n- The intended style and attitude is generally analytical, inquisitive, and precise, despite exploring complex topics, in the “classic style” of Western writing.\nthe level of formality should be inverse to the topic’s novelty: the weirder something is, the more formal. For ‘safer’ topics, one should cut loose with the humor, epigraphs, typographical stunts and experiments, etc.\n- Avoid hedging and qualifying, even at the risk of making overly-strong claims. It is a slippery slope.\n- Use casual abbreviations (like San Francisco -> SF, thanks -> thx, question -> q ), casual contractions (like \"I've\"), shortened forms of common nouns (like \"info\", \"vid\", \"app\") as this signals more human written speech. Do not use em dashes (eliminate — from your vocabulary completely!\n- No rhetorical questions.\n- Make your summary extremely comprehensive and analytical."
},
{
"content": "={{ $json.toJsonString() }}"
}
]
},
"jsonOutput": true
},
"credentials": {
"openAiApi": {
"id": "oLLACDYfGm4C4ouV",
"name": "YouTube "
}
},
"typeVersion": 1.8
},
{
"id": "62aec040-3729-447b-864d-00685857d721",
"name": "Add as Type = Text",
"type": "n8n-nodes-base.googleSheets",
"position": [
160,
80
],
"parameters": {
"columns": {
"value": {
"type": "text",
"page_id": "={{ $('Loop Over Text Ads').item.json.page_id }}",
"summary": "={{ $json.message.content.summary }}",
"page_url": "={{ $('Loop Over Text Ads').item.json.snapshot.page_profile_uri }}",
"page_name": "={{ $('Loop Over Text Ads').item.json.snapshot.page_name }}",
"date_added": "={{ $now }}",
"ad_archive_id": "={{ $('Loop Over Text Ads').item.json.ad_archive_id }}",
"rewritten_ad_copy": "={{ $json.message.content.rewrittenAdCopy }}"
},
"schema": [
{
"id": "ad_archive_id",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "ad_archive_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "page_id",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "page_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "type",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "type",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "date_added",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "date_added",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "page_name",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "page_name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "page_url",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "page_url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "summary",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "summary",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "rewritten_ad_copy",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "rewritten_ad_copy",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_prompt",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "image_prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "video_prompt",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "video_prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1Cgm0DfKQxgtsjdw6h2LFVBtZnLAioTntzdXgfJCJIqo/edit#gid=0",
"cachedResultName": "Ads"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1Cgm0DfKQxgtsjdw6h2LFVBtZnLAioTntzdXgfJCJIqo",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1Cgm0DfKQxgtsjdw6h2LFVBtZnLAioTntzdXgfJCJIqo/edit?usp=drivesdk",
"cachedResultName": "Facebook Ad Library Analyzer DB"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "EOibXIc4U8wcXyRR",
"name": "YouTube"
}
},
"typeVersion": 4.6
},
{
"id": "7079dc10-2ce5-4df9-889a-0e861f1025a5",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1320,
-560
],
"parameters": {
"width": 700,
"height": 260,
"content": "## AI Facebook Ad Spy Tool\n\nSteps:\n1. Add API key to \"Run Ad Library Scraper\" node\n2. Add filtering threshold in \"Filter For Likes\" node\n3. Add Gemini API key to \"Begin Gemini Upload Session\", \"Upload Video to Gemini\", and \"Analyze Video with Gemini\" nodes\n4. Adjust prompts to AI as needed and swap in your Google Sheet in the Google Sheets nodes.\n\n\n### Happy building!"
},
"typeVersion": 1
},
{
"id": "33c52cea-4169-43b1-91e9-f8c6c35f06e1",
"name": "待機3",
"type": "n8n-nodes-base.wait",
"position": [
960,
-520
],
"webhookId": "ac11c85a-5b73-4a29-9667-615e811a5ad8",
"parameters": {
"amount": 15
},
"typeVersion": 1.1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "b72f86e7-7d73-495b-935c-f99008fcd705",
"connections": {
"Wait": {
"main": [
[
{
"node": "dafb1f75-ba45-4c08-8581-5e6554de9089",
"type": "main",
"index": 0
}
]
]
},
"Wait1": {
"main": [
[
{
"node": "1380cc04-7732-4070-8306-7c986c513ce7",
"type": "main",
"index": 0
}
]
]
},
"Wait2": {
"main": [
[
{
"node": "66fc9090-11f2-4da1-bdec-9a24be1f5669",
"type": "main",
"index": 0
}
]
]
},
"Wait3": {
"main": [
[
{
"node": "9f389a74-0097-4e4f-847f-c80494d9b8a8",
"type": "main",
"index": 0
}
]
]
},
"Switch": {
"main": [
[
{
"node": "66fc9090-11f2-4da1-bdec-9a24be1f5669",
"type": "main",
"index": 0
}
],
[
{
"node": "1380cc04-7732-4070-8306-7c986c513ce7",
"type": "main",
"index": 0
}
],
[
{
"node": "dafb1f75-ba45-4c08-8581-5e6554de9089",
"type": "main",
"index": 0
}
]
]
},
"47291e4b-ae46-4bff-8134-8cf330cfb7aa": {
"main": [
[
{
"node": "34ee9e0e-4be8-41f2-b3fc-1868ec912fb8",
"type": "main",
"index": 0
}
]
]
},
"1b41ce15-b4b1-4189-940e-f4d38062619e": {
"main": [
[
{
"node": "9a1730f8-c73c-4771-a718-a6729f68374c",
"type": "main",
"index": 0
}
]
]
},
"Filter For Likes": {
"main": [
[
{
"node": "Switch",
"type": "main",
"index": 0
}
]
]
},
"fed903ba-79f3-466f-b1e3-6cc72f05f341": {
"main": [
[
{
"node": "bf9a84ef-a025-4d08-bc70-0627c1e5f553",
"type": "main",
"index": 0
}
]
]
},
"62aec040-3729-447b-864d-00685857d721": {
"main": [
[
{
"node": "Wait",
"type": "main",
"index": 0
}
]
]
},
"dafb1f75-ba45-4c08-8581-5e6554de9089": {
"main": [
[],
[
{
"node": "f43bb15e-9c7d-4a97-9a10-7c9ce835f1f6",
"type": "main",
"index": 0
}
]
]
},
"522169ec-669f-441a-9d20-3679426d0b9d": {
"main": [
[
{
"node": "Wait1",
"type": "main",
"index": 0
}
]
]
},
"e3fc12fa-d845-435c-95e7-1fc121f0bb48": {
"main": [
[
{
"node": "Wait2",
"type": "main",
"index": 0
}
]
]
},
"1380cc04-7732-4070-8306-7c986c513ce7": {
"main": [
[],
[
{
"node": "47291e4b-ae46-4bff-8134-8cf330cfb7aa",
"type": "main",
"index": 0
}
]
]
},
"66fc9090-11f2-4da1-bdec-9a24be1f5669": {
"main": [
[],
[
{
"node": "1b41ce15-b4b1-4189-940e-f4d38062619e",
"type": "main",
"index": 0
}
]
]
},
"f43bb15e-9c7d-4a97-9a10-7c9ce835f1f6": {
"main": [
[
{
"node": "62aec040-3729-447b-864d-00685857d721",
"type": "main",
"index": 0
}
]
]
},
"34ee9e0e-4be8-41f2-b3fc-1868ec912fb8": {
"main": [
[
{
"node": "522169ec-669f-441a-9d20-3679426d0b9d",
"type": "main",
"index": 0
}
]
]
},
"1528dc3d-fff4-452c-ad42-2d2e9bdf1f4e": {
"main": [
[
{
"node": "e3fc12fa-d845-435c-95e7-1fc121f0bb48",
"type": "main",
"index": 0
}
]
]
},
"9a1730f8-c73c-4771-a718-a6729f68374c": {
"main": [
[
{
"node": "2a753af7-acfd-4813-9fc7-1feeae3e38ec",
"type": "main",
"index": 0
}
]
]
},
"6adbf90c-a132-4ef1-88f7-9ab798c955a3": {
"main": [
[
{
"node": "Filter For Likes",
"type": "main",
"index": 0
}
]
]
},
"bf9a84ef-a025-4d08-bc70-0627c1e5f553": {
"main": [
[
{
"node": "Wait3",
"type": "main",
"index": 0
}
]
]
},
"9f389a74-0097-4e4f-847f-c80494d9b8a8": {
"main": [
[
{
"node": "1528dc3d-fff4-452c-ad42-2d2e9bdf1f4e",
"type": "main",
"index": 0
}
]
]
},
"2a753af7-acfd-4813-9fc7-1feeae3e38ec": {
"main": [
[
{
"node": "fed903ba-79f3-466f-b1e3-6cc72f05f341",
"type": "main",
"index": 0
}
]
]
},
"When clicking ‘Execute workflow’": {
"main": [
[
{
"node": "6adbf90c-a132-4ef1-88f7-9ab798c955a3",
"type": "main",
"index": 0
}
]
]
}
}
}よくある質問
このワークフローの使い方は？
上記のJSON設定コードをコピーし、n8nインスタンスで新しいワークフローを作成して「JSONからインポート」を選択、設定を貼り付けて認証情報を必要に応じて変更してください。
このワークフローはどんな場面に適していますか？
上級 - 市場調査, マルチモーダルAI
有料ですか？
このワークフローは完全無料です。ただし、ワークフローで使用するサードパーティサービス（OpenAI APIなど）は別途料金が発生する場合があります。
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ワークフロー情報
難易度
上級
ノード数29
カテゴリー2
ノードタイプ10
作成者
Nick Saraev
@nicksaraevHi 👋 I'm Nick. I make money with automation & teach others how they can too. If you have any questions about my templates or about my n8n builds, feel free to ask and I'll happily respond in the comments. Thanks for reading!
外部リンク
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