템플릿 v08/02 - Facebook 광고 라이브러리에서 Amazon 크롤러로
고급
이것은Market Research분야의자동화 워크플로우로, 24개의 노드를 포함합니다.주로 If, Set, Code, Limit, Filter 등의 노드를 사용하며. Apify 크롤러를 사용하여 Amazon에서 Facebook 광고 상품 자동 검색
사전 요구사항
- •대상 API의 인증 정보가 필요할 수 있음
- •Google Sheets API 인증 정보
- •OpenAI API Key
카테고리
워크플로우 미리보기
노드 연결 관계를 시각적으로 표시하며, 확대/축소 및 이동을 지원합니다
워크플로우 내보내기
다음 JSON 구성을 복사하여 n8n에 가져오면 이 워크플로우를 사용할 수 있습니다
{
"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": "수동 트리거",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-1632,
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],
"parameters": {},
"typeVersion": 1
},
{
"id": "bb8871d1-2208-406d-9210-e9b4c95d9cc3",
"name": "항목 반복",
"type": "n8n-nodes-base.splitInBatches",
"onError": "continueRegularOutput",
"position": [
-672,
-32
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "3a4ad496-8165-4987-aee1-f804fb8d35fd",
"name": "FB 라이브러리 액터 실행",
"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": "액터의 스크랩된 콘텐츠 가져오기",
"type": "n8n-nodes-base.httpRequest",
"position": [
-1184,
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],
"parameters": {
"options": {}
},
"typeVersion": 4.2
},
{
"id": "77462d23-50ef-4990-94ac-bce340f8ec93",
"name": "웹사이트 콘텐츠 스크랩",
"type": "n8n-nodes-base.httpRequest",
"onError": "continueRegularOutput",
"position": [
-384,
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],
"parameters": {
"url": "={{ $json.snapshot.caption }}",
"options": {}
},
"typeVersion": 4.2,
"alwaysOutputData": true
},
{
"id": "a9849513-c2bd-42b4-97bf-d9d56a52c463",
"name": "일반 텍스트로 변환",
"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": "아마존 검색 액터 실행",
"type": "n8n-nodes-base.httpRequest",
"onError": "continueRegularOutput",
"position": [
768,
128
],
"parameters": {
"method": "POST",
"options": {},
"jsonBody": "={\n \"input\": [\n {\n \"keyword\": \"{{ $json.message.content }}\",\n \"domainCode\": \"com\",\n \"sortBy\": \"recent\",\n \"maxPages\": 1,\n \"category\": \"aps\"\n }\n ]\n}",
"sendBody": true,
"specifyBody": "json"
},
"typeVersion": 4.2,
"alwaysOutputData": true
},
{
"id": "54bfb46b-4972-4cd0-a471-daf64f4f8aa2",
"name": "필드 편집1",
"type": "n8n-nodes-base.set",
"onError": "continueRegularOutput",
"position": [
1216,
128
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "d4bca713-ea0f-496b-935a-c7e03939c993",
"name": "amazonURL",
"type": "string",
"value": "={{ 'https://www.amazon.com'.concat($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": "필터",
"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": "제한",
"type": "n8n-nodes-base.limit",
"position": [
1792,
128
],
"parameters": {},
"typeVersion": 1,
"alwaysOutputData": true
},
{
"id": "ecd58583-9264-493c-8f9c-d1806efcae5a",
"name": "항목 저장",
"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 데이터 저장",
"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": "시트에 행 추가",
"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": "아마존 검색 결과 가져오기",
"type": "n8n-nodes-base.httpRequest",
"onError": "continueRegularOutput",
"position": [
992,
128
],
"parameters": {
"options": {}
},
"typeVersion": 4.2,
"alwaysOutputData": true
},
{
"id": "9b0b5ec2-f984-45c9-989c-a990a160f3b6",
"name": "제품 이름 찾기",
"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": "제품을 찾지 못한 경우",
"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": "스티키 노트",
"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": "스티키 노트1",
"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": "스티키 노트2",
"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": "스티키 노트3",
"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": "아마존 URL을 찾은 경우",
"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": "스티키 노트4",
"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": "스티키 노트5",
"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": "스티키 노트6",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2368,
64
],
"parameters": {
"color": 7,
"width": 288,
"height": 224,
"content": ""
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
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}자주 묻는 질문
이 워크플로우를 어떻게 사용하나요?
위의 JSON 구성 코드를 복사하여 n8n 인스턴스에서 새 워크플로우를 생성하고 "JSON에서 가져오기"를 선택한 후, 구성을 붙여넣고 필요에 따라 인증 설정을 수정하세요.
이 워크플로우는 어떤 시나리오에 적합한가요?
고급 - 시장 조사
유료인가요?
이 워크플로우는 완전히 무료이며 직접 가져와 사용할 수 있습니다. 다만, 워크플로우에서 사용하는 타사 서비스(예: OpenAI API)는 사용자 직접 비용을 지불해야 할 수 있습니다.
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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.
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