テンプレートv08/02 - Facebook広告ライブラリをAmazonスクレイピング
上級
これはMarket Research分野の自動化ワークフローで、24個のノードを含みます。主にIf, Set, Code, Limit, Filterなどのノードを使用。 Apify スクレイピングを使用して Amazon で Facebook 広告製品を自動検索
前提条件
- •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
カテゴリー
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": "CNlX00MuSiOtJXQG",
"meta": {
"instanceId": "de7078f0855f0e960f39df9530d5e9762516cd1dfa98b13db725c63cf3f45fe9",
"templateCredsSetupCompleted": true
},
"name": "Template v08/02 - Facebook Ad Library to Amazon Scraper",
"tags": [
{
"id": "Ki43TEjHd7EDcykZ",
"name": "My Templates",
"createdAt": "2025-07-31T13:58:06.976Z",
"updatedAt": "2025-07-31T13:58:06.976Z"
}
],
"nodes": [
{
"id": "8ea1eb6a-9814-4935-82f0-dbe7fbe1b318",
"name": "手動トリガー",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-1632,
32
],
"parameters": {},
"typeVersion": 1
},
{
"id": "bb8871d1-2208-406d-9210-e9b4c95d9cc3",
"name": "アイテムをループ処理",
"type": "n8n-nodes-base.splitInBatches",
"onError": "continueRegularOutput",
"position": [
-672,
-32
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "3a4ad496-8165-4987-aee1-f804fb8d35fd",
"name": "FBライブラリアクター実行",
"type": "n8n-nodes-base.httpRequest",
"position": [
-1408,
32
],
"parameters": {
"method": "POST",
"options": {},
"jsonBody": "{\n \"count\": 10,\n \"scrapeAdDetails\": true,\n \"scrapePageAds.activeStatus\": \"all\",\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=Wireless%20Mouse&search_type=keyword_unordered&source=fb-logo\",\n \"method\": \"GET\"\n }\n ]\n}",
"sendBody": true,
"specifyBody": "json"
},
"typeVersion": 4.2
},
{
"id": "7d6752e1-b469-4ed2-a651-bd9be05cc80a",
"name": "アクターのスクレイピングコンテンツ取得",
"type": "n8n-nodes-base.httpRequest",
"position": [
-1184,
32
],
"parameters": {
"options": {}
},
"typeVersion": 4.2
},
{
"id": "77462d23-50ef-4990-94ac-bce340f8ec93",
"name": "ウェブサイトコンテンツスクレイピング",
"type": "n8n-nodes-base.httpRequest",
"onError": "continueRegularOutput",
"position": [
-384,
112
],
"parameters": {
"url": "={{ $json.snapshot.caption }}",
"options": {}
},
"typeVersion": 4.2,
"alwaysOutputData": true
},
{
"id": "a9849513-c2bd-42b4-97bf-d9d56a52c463",
"name": "プレーンテキスト変換",
"type": "n8n-nodes-base.code",
"onError": "continueRegularOutput",
"position": [
-160,
112
],
"parameters": {
"jsCode": "// HTML to Plain Text Converter for n8n Code Node\n// This code takes HTML content and converts it to clean plain text\n\n// Get the HTML content from the previous node\n// Adjust the field name based on your input data structure\nconst htmlContent = $input.first().json.data\n\nif (!htmlContent) {\n return [{ json: { error: \"No HTML content found in input\" } }];\n}\n\n// Function to strip HTML tags and decode HTML entities\nfunction htmlToPlainText(html) {\n let text = html;\n \n // Remove script and style elements completely\n text = text.replace(/<script[^>]*>[\\s\\S]*?<\\/script>/gi, '');\n text = text.replace(/<style[^>]*>[\\s\\S]*?<\\/style>/gi, '');\n \n // Replace common block elements with line breaks\n text = text.replace(/<\\/?(div|p|br|h[1-6]|li|tr)[^>]*>/gi, '\\n');\n \n // Replace list items with bullet points\n text = text.replace(/<li[^>]*>/gi, '• ');\n \n // Remove all remaining HTML tags\n text = text.replace(/<[^>]*>/g, '');\n \n // Decode common HTML entities\n const entityMap = {\n '&': '&',\n '<': '<',\n '>': '>',\n '"': '\"',\n ''': \"'\",\n ''': \"'\",\n ' ': ' ',\n '©': '©',\n '®': '®',\n '™': '™',\n '…': '...',\n '—': '—',\n '–': '–'\n };\n \n for (const [entity, char] of Object.entries(entityMap)) {\n text = text.replace(new RegExp(entity, 'g'), char);\n }\n \n // Decode numeric HTML entities (e.g., {)\n text = text.replace(/&#(\\d+);/g, (match, dec) => {\n return String.fromCharCode(dec);\n });\n \n // Decode hex HTML entities (e.g., )\n text = text.replace(/&#x([0-9A-Fa-f]+);/g, (match, hex) => {\n return String.fromCharCode(parseInt(hex, 16));\n });\n \n // Clean up whitespace\n text = text.replace(/\\n\\s*\\n/g, '\\n\\n'); // Remove excessive line breaks\n text = text.replace(/[ \\t]+/g, ' '); // Replace multiple spaces/tabs with single space\n text = text.trim(); // Remove leading/trailing whitespace\n \n return text;\n}\n\ntry {\n const plainText = htmlToPlainText(htmlContent);\n \n return [{\n json: {\n originalHtml: htmlContent,\n plainText: plainText,\n characterCount: plainText.length,\n wordCount: plainText.split(/\\s+/).filter(word => word.length > 0).length,\n success: true\n }\n }];\n \n} catch (error) {\n return [{\n json: {\n error: `Failed to convert HTML to text: ${error.message}`,\n originalHtml: htmlContent,\n success: false\n }\n }];\n}"
},
"typeVersion": 2,
"alwaysOutputData": true
},
{
"id": "589ecbf9-917f-470e-9ade-5553b453421f",
"name": "Amazon検索アクター実行",
"type": "n8n-nodes-base.httpRequest",
"onError": "continueRegularOutput",
"position": [
768,
128
],
"parameters": {
"method": "POST",
"options": {},
"jsonBody": "={\n \"input\": [\n {\n \"keyword\": \"{{ $json.message.content }}\",\n \"domainCode\": \"com\",\n \"sortBy\": \"recent\",\n \"maxPages\": 1,\n \"category\": \"aps\"\n }\n ]\n}",
"sendBody": true,
"specifyBody": "json"
},
"typeVersion": 4.2,
"alwaysOutputData": true
},
{
"id": "54bfb46b-4972-4cd0-a471-daf64f4f8aa2",
"name": "フィールド編集1",
"type": "n8n-nodes-base.set",
"onError": "continueRegularOutput",
"position": [
1216,
128
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "d4bca713-ea0f-496b-935a-c7e03939c993",
"name": "amazonURL",
"type": "string",
"value": "={{ 'https://www.amazon.com'.concat($json.dpUrl) }}"
},
{
"id": "aa404d43-dd49-4836-be25-9546b764c44e",
"name": "productTitle",
"type": "string",
"value": "={{ $json.productDescription }}"
},
{
"id": "7e5ba88b-fd1b-44a3-999b-25fecc0dfdf1",
"name": "price",
"type": "number",
"value": "={{ $json.price }}"
},
{
"id": "756647b3-5893-498a-9233-afc4a7e25023",
"name": "productRating",
"type": "number",
"value": "={{ $json.productRating.slice(0,3) }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "657bf062-6adb-4b04-b76b-ecec8c11ff33",
"name": "フィルター",
"type": "n8n-nodes-base.filter",
"onError": "continueRegularOutput",
"position": [
1440,
128
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "05637cd3-af97-4c9a-908e-ce53f5d89d2a",
"operator": {
"type": "number",
"operation": "gte"
},
"leftValue": "={{ $json.productRating }}",
"rightValue": 4.3
}
]
}
},
"typeVersion": 2.2,
"alwaysOutputData": true
},
{
"id": "c4e12fad-a045-4e97-a6c0-da1eecf92e27",
"name": "リミット",
"type": "n8n-nodes-base.limit",
"position": [
1792,
128
],
"parameters": {},
"typeVersion": 1,
"alwaysOutputData": true
},
{
"id": "ecd58583-9264-493c-8f9c-d1806efcae5a",
"name": "アイテム保存",
"type": "n8n-nodes-base.set",
"position": [
2016,
128
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "c035dbc4-96c7-41f3-abc4-865026954816",
"name": "amazonURL",
"type": "string",
"value": "={{ $json.amazonURL }}"
},
{
"id": "4eed2bbc-41f3-4deb-8704-a121180645d3",
"name": "productTitle",
"type": "string",
"value": "={{ $json.productTitle }}"
},
{
"id": "1dcbb87d-c334-42e6-947e-3ef53496031c",
"name": "price",
"type": "number",
"value": "={{ $json.price }}"
},
{
"id": "00c79031-b624-4ac4-a6dc-1415bbc99b96",
"name": "productRating",
"type": "number",
"value": "={{ $json.productRating }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "8303de9c-cd7b-4b0e-9872-3288adda8e3e",
"name": "FBデータ保存",
"type": "n8n-nodes-base.set",
"position": [
-960,
32
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "36d7a682-5612-4303-9074-e9b4af4d70ab",
"name": "snapshot.page_name",
"type": "string",
"value": "={{ $json.snapshot.page_name }}"
},
{
"id": "33a6254a-1d92-4b7f-b93f-db437bacbfa9",
"name": "snapshot.page_profile_uri",
"type": "string",
"value": "={{ $json.snapshot.page_profile_uri }}"
},
{
"id": "f20599df-72d4-4aa9-bbff-752989bb8308",
"name": "snapshot.caption",
"type": "string",
"value": "={{ $json.snapshot.cards[0].link_url }}"
},
{
"id": "f4e5ed8c-3486-46b5-a52f-fd764f069dc5",
"name": "snapshot.cards[0].link_url",
"type": "string",
"value": "={{ $json.snapshot.cards[0].link_url }}"
},
{
"id": "9cc1a88d-3a08-433f-8952-0167d7c02648",
"name": "snapshot.body.text",
"type": "string",
"value": "={{ $json.snapshot.body.text }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "6c461b84-6113-4e85-a56b-0497cfe8ebfc",
"name": "シートに行追加",
"type": "n8n-nodes-base.googleSheets",
"position": [
16,
-304
],
"parameters": {
"columns": {
"value": {
"Price": "={{ $json.price }}",
"Rating": "={{ $json.productRating }}",
"Link URL": "={{ $('SaveFBData').item.json.snapshot.cards[0].link_url }}",
"AmazonURL": "={{ $json.amazonURL }}",
"FB Page Name": "={{ $('SaveFBData').item.json.snapshot.page_name }}",
"ProductTitle": "={{ $('Product Name Finder').item.json.message.content }}"
},
"schema": [
{
"id": "FB Page Name",
"type": "string",
"display": true,
"required": false,
"displayName": "FB Page Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Link URL",
"type": "string",
"display": true,
"required": false,
"displayName": "Link URL",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "ProductTitle",
"type": "string",
"display": true,
"required": false,
"displayName": "ProductTitle",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "AmazonURL",
"type": "string",
"display": true,
"required": false,
"displayName": "AmazonURL",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Price",
"type": "string",
"display": true,
"required": false,
"displayName": "Price",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Rating",
"type": "string",
"display": true,
"required": false,
"displayName": "Rating",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "row_number",
"type": "number",
"display": true,
"removed": true,
"readOnly": true,
"required": false,
"displayName": "row_number",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"row_number"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1k5-Arb55v8HoIJueza4GrCiddTueK6thM6gqbWk8gaE/edit#gid=0",
"cachedResultName": "Tabellenblatt1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1k5-Arb55v8HoIJueza4GrCiddTueK6thM6gqbWk8gaE",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1k5-Arb55v8HoIJueza4GrCiddTueK6thM6gqbWk8gaE/edit?usp=drivesdk",
"cachedResultName": "Upwork - Abdelmageed - 07/28 - v1.0 - AmazonSearchTest"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "wvNvKEMKTceQSxtR",
"name": "Google Sheets account"
}
},
"typeVersion": 4.6
},
{
"id": "cb85f819-e250-495c-9c22-3f95339f68ec",
"name": "Amazon検索結果取得",
"type": "n8n-nodes-base.httpRequest",
"onError": "continueRegularOutput",
"position": [
992,
128
],
"parameters": {
"options": {}
},
"typeVersion": 4.2,
"alwaysOutputData": true
},
{
"id": "9b0b5ec2-f984-45c9-989c-a990a160f3b6",
"name": "商品名検索",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
64,
112
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini",
"cachedResultName": "GPT-4.1-MINI"
},
"options": {},
"messages": {
"values": [
{
"role": "system",
"content": "=You are a helpful assistant. You take a Facebook ad's scraped website content, and search for a product being sold on that website. You only take one product, and find the product's name.\n\nThe purpose of this is to search that exact product on Amazon. Thus as an output, you formate that product's name as if you'd want to search it on Amazon. \n\n## Rules\n- If you don't get any content from the website, use the Facebook Ad page name, caption or body text to find the product name. If you still can't find it, say \"No Product Found\" as output.\n\n## Tools\n- Here's the website's scraped content: {{ $json.plainText }}\n- Facebook Ad Page Name: {{ $('SaveFBData').item.json.snapshot.page_name }}\n- Facebook Ad Caption: {{ $('SaveFBData').item.json.snapshot.caption }}\n- Facebook Ad Body Text: {{ $('SaveFBData').item.json.snapshot.body.text }}\n"
},
{}
]
}
},
"credentials": {
"openAiApi": {
"id": "V3Jm4IHcAE2t5qRT",
"name": "OpenAi account"
}
},
"typeVersion": 1.8
},
{
"id": "e726b9e1-4c11-4a29-9bc6-4aa5b3aca3e9",
"name": "商品が見つからない場合",
"type": "n8n-nodes-base.if",
"position": [
416,
112
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "27e73c18-2a7e-47f1-9936-151785ce8633",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.message.content }}",
"rightValue": "No Product Found"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "5540ad53-3dcd-40d5-b736-ba013b5b8ba7",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1680,
-128
],
"parameters": {
"color": 5,
"width": 864,
"height": 368,
"content": "## 📤 Extract FB Ad Library\n- The first node calls the \"Facebook ad library scraper\" Apify scraper. For that, insert the \"Run Actor synchronously\" API inside API > API Endpoints. Change the FB Ad Library URL inside the JSON.\n- The second node receives the scraper's data. Insert the \"Get last run dataset items\" API."
},
"typeVersion": 1
},
{
"id": "68fc52a9-56a4-41ca-b89d-135ebf672ad8",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-448,
-16
],
"parameters": {
"color": 6,
"width": 1024,
"height": 304,
"content": "## 🔎 Find Product Name\n- Scrapes content from the website (see \"{{ $json.snapshot.caption }}\") of the scraped FB Ad. \n- Then searches for the product name to then search that on Amazon via another Apify scraper."
},
"typeVersion": 1
},
{
"id": "441bbbce-12bc-41f5-bb98-89906d2991be",
"name": "付箋2",
"type": "n8n-nodes-base.stickyNote",
"position": [
688,
-16
],
"parameters": {
"color": 2,
"width": 928,
"height": 320,
"content": "## 🔎 Find Product on Amazon\n- The first HTTP Request node calls the \"Amazon Search Scraper\" Apify scraper. For that, insert the \"Run Actor synchronously\" API inside API > API Endpoints. The product name is being inserted into the JSON automatically.\n- The second node receives the scraper's data. Insert the \"Get last run dataset items\" API."
},
"typeVersion": 1
},
{
"id": "8e83394d-661a-4254-a422-ce916b1fd81e",
"name": "付箋3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-448,
-416
],
"parameters": {
"color": 4,
"width": 704,
"height": 272,
"content": "## 📥 Insert Products Into Sheet\n- _This is optional_. If you want to save the data in some sort of database, make sure to create a Google spreadsheet first, then insert it here."
},
"typeVersion": 1
},
{
"id": "1634ef7c-f911-468c-ad22-a07c6dba6309",
"name": "Amazon URLが見つかった場合",
"type": "n8n-nodes-base.if",
"position": [
-304,
-304
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "3e78fef9-a7e1-42d1-abdb-bd3215d535b4",
"operator": {
"type": "string",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "={{ $json.amazonURL }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "ce0793de-223d-4eac-bf15-c7d7bcac1d03",
"name": "付箋4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1696,
-16
],
"parameters": {
"color": 7,
"width": 512,
"height": 304,
"content": "## Limit\n- Instead of having multiple searches of the same product, this limits the Amazon search results to 1."
},
"typeVersion": 1
},
{
"id": "7f80d667-558a-4ea4-a3f3-f752f96a61fc",
"name": "付箋5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2512,
-320
],
"parameters": {
"color": 7,
"width": 576,
"height": 608,
"content": "# 👋 Introduction\n\nThis automation workflow is connected with two Apify scrapers. Make sure to connect the two scrapers mentioned in the blue and orange box, with their specific API endpoints.\nOnce connected, this automation automatically scrapes Facebook ads from a specific Facebook Ad Library URL and searches for that same product on Amazon. Can be useful for Amazon FBA or dropshipping.\n\n\nIf you need further help, or want a specific automation to be built for you, feel free to contact me via richard@advetica-systems.com. \n\nRichard\nFounder @ Advetica Systems\n\n\n\n\n\n"
},
"typeVersion": 1
},
{
"id": "1a8029ba-aa0d-4d85-9dd7-de178ef54f30",
"name": "付箋6",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2368,
64
],
"parameters": {
"color": 7,
"width": 288,
"height": 224,
"content": ""
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "76568f5a-ae86-45e9-8936-7fd9f8d5b43b",
"connections": {
"c4e12fad-a045-4e97-a6c0-da1eecf92e27": {
"main": [
[
{
"node": "ecd58583-9264-493c-8f9c-d1806efcae5a",
"type": "main",
"index": 0
}
]
]
},
"657bf062-6adb-4b04-b76b-ecec8c11ff33": {
"main": [
[
{
"node": "c4e12fad-a045-4e97-a6c0-da1eecf92e27",
"type": "main",
"index": 0
}
]
]
},
"ecd58583-9264-493c-8f9c-d1806efcae5a": {
"main": [
[
{
"node": "bb8871d1-2208-406d-9210-e9b4c95d9cc3",
"type": "main",
"index": 0
}
]
]
},
"8303de9c-cd7b-4b0e-9872-3288adda8e3e": {
"main": [
[
{
"node": "bb8871d1-2208-406d-9210-e9b4c95d9cc3",
"type": "main",
"index": 0
}
]
]
},
"54bfb46b-4972-4cd0-a471-daf64f4f8aa2": {
"main": [
[
{
"node": "657bf062-6adb-4b04-b76b-ecec8c11ff33",
"type": "main",
"index": 0
}
]
]
},
"8ea1eb6a-9814-4935-82f0-dbe7fbe1b318": {
"main": [
[
{
"node": "3a4ad496-8165-4987-aee1-f804fb8d35fd",
"type": "main",
"index": 0
}
]
]
},
"bb8871d1-2208-406d-9210-e9b4c95d9cc3": {
"main": [
[
{
"node": "1634ef7c-f911-468c-ad22-a07c6dba6309",
"type": "main",
"index": 0
}
],
[
{
"node": "77462d23-50ef-4990-94ac-bce340f8ec93",
"type": "main",
"index": 0
}
]
]
},
"1634ef7c-f911-468c-ad22-a07c6dba6309": {
"main": [
[
{
"node": "6c461b84-6113-4e85-a56b-0497cfe8ebfc",
"type": "main",
"index": 0
}
]
]
},
"e726b9e1-4c11-4a29-9bc6-4aa5b3aca3e9": {
"main": [
[
{
"node": "bb8871d1-2208-406d-9210-e9b4c95d9cc3",
"type": "main",
"index": 0
}
],
[
{
"node": "589ecbf9-917f-470e-9ade-5553b453421f",
"type": "main",
"index": 0
}
]
]
},
"9b0b5ec2-f984-45c9-989c-a990a160f3b6": {
"main": [
[
{
"node": "e726b9e1-4c11-4a29-9bc6-4aa5b3aca3e9",
"type": "main",
"index": 0
}
]
]
},
"a9849513-c2bd-42b4-97bf-d9d56a52c463": {
"main": [
[
{
"node": "9b0b5ec2-f984-45c9-989c-a990a160f3b6",
"type": "main",
"index": 0
}
]
]
},
"3a4ad496-8165-4987-aee1-f804fb8d35fd": {
"main": [
[
{
"node": "7d6752e1-b469-4ed2-a651-bd9be05cc80a",
"type": "main",
"index": 0
}
]
]
},
"77462d23-50ef-4990-94ac-bce340f8ec93": {
"main": [
[
{
"node": "a9849513-c2bd-42b4-97bf-d9d56a52c463",
"type": "main",
"index": 0
}
]
]
},
"589ecbf9-917f-470e-9ade-5553b453421f": {
"main": [
[
{
"node": "cb85f819-e250-495c-9c22-3f95339f68ec",
"type": "main",
"index": 0
}
]
]
},
"cb85f819-e250-495c-9c22-3f95339f68ec": {
"main": [
[
{
"node": "54bfb46b-4972-4cd0-a471-daf64f4f8aa2",
"type": "main",
"index": 0
}
]
]
},
"7d6752e1-b469-4ed2-a651-bd9be05cc80a": {
"main": [
[
{
"node": "8303de9c-cd7b-4b0e-9872-3288adda8e3e",
"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
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。
関連ワークフロー
カスタムカールドメールアイスブレイカージェネレーター
ApolloリードスクレイピングとGPT-4.1を使ってパーソナライズされた冷メールを自動化
Set
Code
Slack
+
Set
Code
Slack
24 ノードRichard Besier
リード獲得
n8nノードの探索（可視化リファレンスライブラリ内）
n8nノードを可視化リファレンスライブラリで探索
If
Ftp
Set
+
If
Ftp
Set
113 ノードI versus AI
その他
AIを活用したリードジェネレーションシステム（メールパーソナライズとLinkedIn）
AIを活用したリードジェネレーションシステム：メールパーソナライズとLinkedIn機能を含む
If
Code
Limit
+
If
Code
Limit
51 ノードMatthieu
リード獲得
潜在顧客開掘とメールワーキングフロー
Google Maps、SendGrid、AIを使用してB2Bリード獲得とメールマーケティングを自動化
If
Set
Code
+
If
Set
Code
141 ノードEzema Kingsley Chibuzo
リード獲得
私のワークフロー5
AIメールパーソナライゼーションを使用した自動LinkedInリード生成（未完了）
If
Set
Code
+
If
Set
Code
37 ノードMatthieu
営業
LinkedIn、OpenAI、Sales Navigatorを使用して有効なリードを作成し、コールドコールスクリプトを自動生成
LinkedIn、OpenAI、Sales Navigatorを使って、合格したリードとコールドケーススクリプトを作成
If
Code
Limit
+
If
Code
Limit
47 ノードMatthieu
リード獲得
ワークフロー情報
難易度
上級
ノード数24
カテゴリー1
ノードタイプ11
作成者
Richard Besier
@richardbHey 👋 I've worked with more or less every major no-code automation platform out there - now showing and building AI operating systems for businesses. If you need further help with one of my builds, or just want to chat, feel free to comment and I'll happily respond.
外部リンク
n8n.ioで表示 →
このワークフローを共有