Fiverr UGC 수집기
중급
이것은AI, Marketing분야의자동화 워크플로우로, 8개의 노드를 포함합니다.주로 Html, HttpRequest, GoogleSheets, ScheduleTrigger 등의 노드를 사용하며인공지능 기술을 결합하여 스마트 자동화를 구현합니다. Google 스프레드시트를 사용한 자동 Fiverr UGC 시장 조사
사전 요구사항
- •대상 API의 인증 정보가 필요할 수 있음
- •Google Sheets API 인증 정보
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": "daABmpJ3xdrHjUS7",
"meta": {
"instanceId": "84ad02d6104594179f43f1ce9cfe3a81637b2faedb57dafcb9e649b7542988db",
"templateCredsSetupCompleted": true
},
"name": "Fiverr UGC Scraper",
"tags": [],
"nodes": [
{
"id": "639d8c5d-9b2c-4dda-a496-7098c298b5a5",
"name": "Daily Fiverr Scrape Trigger",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
0,
0
],
"parameters": {
"rule": {
"interval": [
{
"triggerAtHour": 9
}
]
}
},
"typeVersion": 1.2
},
{
"id": "60977b7f-c8ec-4ec9-9d2a-e2d6c58149e6",
"name": "Fetch Fiverr Search Results",
"type": "n8n-nodes-base.httpRequest",
"position": [
220,
0
],
"parameters": {
"url": "https://www.fiverr.com/search/gigs",
"options": {},
"sendQuery": true,
"sendHeaders": true,
"queryParameters": {
"parameters": [
{
"name": "query",
"value": "ugc"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "User-Agent",
"value": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36"
},
{
"name": "Accept",
"value": "text/html"
},
{
"name": "Accept-Language",
"value": "en-US,en;q=0.9"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "b3cc4270-c7a3-4fcc-88b3-795c6c7b418d",
"name": "Extract Data from HTML",
"type": "n8n-nodes-base.html",
"position": [
580,
0
],
"parameters": {
"options": {},
"operation": "extractHtmlContent",
"extractionValues": {
"values": [
{
"key": "price",
"cssSelector": "div.basic-gig-card a._Z7OVIW span.text-bold > span"
},
{
"key": "title",
"cssSelector": "div.basic-gig-card p.f2YMuU6"
},
{
"key": "Selller",
"cssSelector": "div.basic-gig-card a._1lc1p3l2 span.vp9lqtk"
},
{
"key": "Gig URL",
"cssSelector": "div.basic-gig-card > a.media"
}
]
}
},
"typeVersion": 1.2
},
{
"id": "b5e115fe-3f5e-4ead-b09d-35af6c002204",
"name": "Append Gig Data to Sheet",
"type": "n8n-nodes-base.googleSheets",
"position": [
800,
0
],
"parameters": {
"columns": {
"value": {
"Price": "={{ $json.price }}",
"Title": "={{ $json.title }}",
"Gig URL": "={{ $json[\"Gig URL\"] }}",
"Seller Name": "={{ $json.Selller }}"
},
"schema": [
{
"id": "Price",
"type": "string",
"display": true,
"required": false,
"displayName": "Price",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Title",
"type": "string",
"display": true,
"required": false,
"displayName": "Title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Seller Name",
"type": "string",
"display": true,
"required": false,
"displayName": "Seller Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Gig URL",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Gig URL",
"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/1mSpImM6r33QkQiYAZEoyvqo6Jce8pR4iyCZgUXqkQfk/edit#gid=0",
"cachedResultName": "Sheet1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1mSpImM6r33QkQiYAZEoyvqo6Jce8pR4iyCZgUXqkQfk",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1mSpImM6r33QkQiYAZEoyvqo6Jce8pR4iyCZgUXqkQfk/edit?usp=drivesdk",
"cachedResultName": "Fiverr UGC Scraper"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "K5yYfUnKFTqaRn6A",
"name": "Google Sheets account"
}
},
"typeVersion": 4.5
},
{
"id": "3834eabc-6865-4fbb-941e-4e76e84d461f",
"name": "메모",
"type": "n8n-nodes-base.stickyNote",
"position": [
-80,
-1040
],
"parameters": {
"color": 5,
"width": 520,
"height": 1260,
"content": "## ⚙️ Section 1: **Trigger & Data Fetching**\n\nThis section is responsible for **automatically starting the workflow** and **retrieving Fiverr gig listings** for UGC content creators.\n\n---\n\n### ⏰ 1. `Daily Fiverr Scrape Trigger`\n\n> **🧠 Purpose:** Starts the entire workflow on a scheduled basis.\n\n📌 **Details:**\n\n* 🔁 Runs automatically at specified intervals (daily, hourly, etc.)\n* 🔌 Acts as the starting point of your automation pipeline\n* 🧩 Useful for keeping your dataset fresh without manual intervention\n\n🔧 **Example configuration:**\n\n* `Frequency:` Every 24 hours\n* `Time:` 09:00 AM UTC\n\n---\n\n### 🌐 2. `Fetch Fiverr Search Results`\n\n> **🧠 Purpose:** Makes an HTTP GET request to Fiverr to fetch search results for UGC content creators.\n\n📌 **Details:**\n\n* 🌍 **Endpoint:** `https://www.fiverr.com/search/gigs?query=UGC%20content%20creator`\n* 🧾 **Method:** `GET`\n* 📦 **Returns:** Raw HTML content of the search result page\n* 🔐 Supports headers (e.g., user-agent) if needed to bypass scraping blocks\n\n🧰 **Pro tips:**\n\n* Consider rotating user agents or using proxies for better reliability\n* Use query parameters to refine your search (e.g., country, category)\n\n---\n\n"
},
"typeVersion": 1
},
{
"id": "09a950f8-54a9-409c-aed6-e3fd908a7f14",
"name": "메모1",
"type": "n8n-nodes-base.stickyNote",
"position": [
500,
-1500
],
"parameters": {
"color": 3,
"width": 520,
"height": 1720,
"content": "## 🧠 Section 2: **HTML Parsing & Data Logging**\n\nThis section focuses on **extracting useful data** from the raw HTML and then **storing it securely** in Google Sheets for future reference.\n\n---\n\n### 🧱 3. `Extract Gig Data from HTML`\n\n> **🧠 Purpose:** Parses the fetched HTML and extracts key gig details.\n\n📌 **Extracted Fields:**\n\n* 💵 **Price** – Starting price of the gig\n* 🧑🎨 **Seller** – Name of the gig creator\n* 📝 **Title** – Gig headline\n* 🔗 **Gig URL** – Direct link to the gig\n\n🔍 **How it works:**\n\n* Uses **CSS selectors** or **XPath** to find the right HTML nodes\n* Grabs the values and passes them as structured data to the next node\n\n⚠️ **Note:** You may need to update selectors if Fiverr changes its HTML structure.\n\n---\n\n### 📊 4. `Append Gig Data to Sheet`\n\n> **🧠 Purpose:** Stores the extracted gig data in a connected Google Sheet.\n\n📌 **Details:**\n\n* 📁 Appends each gig as a new row\n* 🧾 Keeps a log of all scrapes for historical analysis\n* 🔄 Works with dynamic ranges – no manual sheet setup needed\n\n🔐 **Sheet Features:**\n\n* 🧹 You can apply filters or conditional formatting\n* 🗂 Consider using a timestamp column for easier tracking\n\n---\n\n## ✅ Summary\n\nYour workflow is a **powerful automation** that:\n\n* 🔄 Runs automatically on schedule\n* 🌐 Fetches Fiverr UGC gigs\n* 🧱 Parses and extracts valuable info\n* 📊 Logs everything in an easy-to-analyze Google Sheet\n\nLet me know if you'd like help adding:\n\n* 📌 Deduplication logic\n* 🔔 Email/Slack alerts when new gigs are found\n* 🧼 Data cleanup/formatting in Sheets\n\n"
},
"typeVersion": 1
},
{
"id": "c9562319-f44c-461c-bcb0-84192b8a8e3f",
"name": "메모9",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1780,
-1020
],
"parameters": {
"color": 4,
"width": 1300,
"height": 320,
"content": "=======================================\n WORKFLOW ASSISTANCE\n=======================================\nFor any questions or support, please contact:\n Yaron@nofluff.online\n\nExplore more tips and tutorials here:\n - YouTube: https://www.youtube.com/@YaronBeen/videos\n - LinkedIn: https://www.linkedin.com/in/yaronbeen/\n=======================================\n"
},
"typeVersion": 1
},
{
"id": "bd479abb-b26e-4b8c-a1f8-14fde7041059",
"name": "메모4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1780,
-680
],
"parameters": {
"color": 4,
"width": 1289,
"height": 2378,
"content": "## ⚙️ Section 1: **Trigger & Data Fetching**\n\nThis section is responsible for **automatically starting the workflow** and **retrieving Fiverr gig listings** for UGC content creators.\n\n---\n\n### ⏰ 1. `Daily Fiverr Scrape Trigger`\n\n> **🧠 Purpose:** Starts the entire workflow on a scheduled basis.\n\n📌 **Details:**\n\n* 🔁 Runs automatically at specified intervals (daily, hourly, etc.)\n* 🔌 Acts as the starting point of your automation pipeline\n* 🧩 Useful for keeping your dataset fresh without manual intervention\n\n🔧 **Example configuration:**\n\n* `Frequency:` Every 24 hours\n* `Time:` 09:00 AM UTC\n\n---\n\n### 🌐 2. `Fetch Fiverr Search Results`\n\n> **🧠 Purpose:** Makes an HTTP GET request to Fiverr to fetch search results for UGC content creators.\n\n📌 **Details:**\n\n* 🌍 **Endpoint:** `https://www.fiverr.com/search/gigs?query=UGC%20content%20creator`\n* 🧾 **Method:** `GET`\n* 📦 **Returns:** Raw HTML content of the search result page\n* 🔐 Supports headers (e.g., user-agent) if needed to bypass scraping blocks\n\n🧰 **Pro tips:**\n\n* Consider rotating user agents or using proxies for better reliability\n* Use query parameters to refine your search (e.g., country, category)\n\n---\n\n## 🧠 Section 2: **HTML Parsing & Data Logging**\n\nThis section focuses on **extracting useful data** from the raw HTML and then **storing it securely** in Google Sheets for future reference.\n\n---\n\n### 🧱 3. `Extract Gig Data from HTML`\n\n> **🧠 Purpose:** Parses the fetched HTML and extracts key gig details.\n\n📌 **Extracted Fields:**\n\n* 💵 **Price** – Starting price of the gig\n* 🧑🎨 **Seller** – Name of the gig creator\n* 📝 **Title** – Gig headline\n* 🔗 **Gig URL** – Direct link to the gig\n\n🔍 **How it works:**\n\n* Uses **CSS selectors** or **XPath** to find the right HTML nodes\n* Grabs the values and passes them as structured data to the next node\n\n⚠️ **Note:** You may need to update selectors if Fiverr changes its HTML structure.\n\n---\n\n### 📊 4. `Append Gig Data to Sheet`\n\n> **🧠 Purpose:** Stores the extracted gig data in a connected Google Sheet.\n\n📌 **Details:**\n\n* 📁 Appends each gig as a new row\n* 🧾 Keeps a log of all scrapes for historical analysis\n* 🔄 Works with dynamic ranges – no manual sheet setup needed\n\n🔐 **Sheet Features:**\n\n* 🧹 You can apply filters or conditional formatting\n* 🗂 Consider using a timestamp column for easier tracking\n\n---\n\n## ✅ Summary\n\nYour workflow is a **powerful automation** that:\n\n* 🔄 Runs automatically on schedule\n* 🌐 Fetches Fiverr UGC gigs\n* 🧱 Parses and extracts valuable info\n* 📊 Logs everything in an easy-to-analyze Google Sheet\n\nLet me know if you'd like help adding:\n\n* 📌 Deduplication logic\n* 🔔 Email/Slack alerts when new gigs are found\n* 🧼 Data cleanup/formatting in Sheets\n\nReady to upgrade it further? 😎\n"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "9e357a6c-19fd-490d-b5ea-7afd9a4b533d",
"connections": {
"b3cc4270-c7a3-4fcc-88b3-795c6c7b418d": {
"main": [
[
{
"node": "b5e115fe-3f5e-4ead-b09d-35af6c002204",
"type": "main",
"index": 0
}
]
]
},
"639d8c5d-9b2c-4dda-a496-7098c298b5a5": {
"main": [
[
{
"node": "60977b7f-c8ec-4ec9-9d2a-e2d6c58149e6",
"type": "main",
"index": 0
}
]
]
},
"60977b7f-c8ec-4ec9-9d2a-e2d6c58149e6": {
"main": [
[
{
"node": "b3cc4270-c7a3-4fcc-88b3-795c6c7b418d",
"type": "main",
"index": 0
}
]
]
}
}
}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?
중급 - 인공지능, 마케팅
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.
관련 워크플로우 추천
CrunchBase 투자자 데이터
자동화投资者情报:CrunchBase로Google Sheets데이터采集器
Code
Http Request
Google Sheets
+
Code
Http Request
Google Sheets
8 노드Yaron Been
금융
Bright Data와 LLMs로 대규모 초개인화 아웃리치 자동화
Bright Data 및 대규모 언어 모델을 통한 대규모 초개인화 아웃리치 자동화
If
Set
Wait
+
If
Set
Wait
21 노드Yaron Been
영업
Phantombuster를 사용한 LinkedIn 게시물 상호작용
Phantombuster, OpenAI GPT 및 Google Sheets를 사용한 자동화된 LinkedIn 상호작용 추적
Http Request
Google Sheets
Agent
+
Http Request
Google Sheets
Agent
14 노드Yaron Been
인공지능
자동 뉴스 요약 및 이메일 뉴스레터 (GPT-4, NewsAPI 및 Gmail)
GPT-4, NewsAPI, Gmail을 활용한 뉴스 요약 및 이메일 뉴스레터 자동 생성
Gmail
Http Request
Google Sheets
+
Gmail
Http Request
Google Sheets
7 노드Yaron Been
인공지능
Bright Data를 사용하여 예정된 이벤트 스크래핑
사용 Bright Data 및 n8n 의자동화事件发现
Code
Html
Http Request
+
Code
Html
Http Request
11 노드Yaron Been
인공지능
Bright Data를 통한 경쟁사 가격 모니터링
Bright Data와 n8n을 사용한 자동 경쟁사 가격 모니터링
If
Code
Html
+
If
Code
Html
15 노드Yaron Been
인공지능
워크플로우 정보
난이도
중급
노드 수8
카테고리2
노드 유형5
저자
Yaron Been
@yaron-nofluffBuilding AI Agents and Automations | Growth Marketer | Entrepreneur | Book Author & Podcast Host If you need any help with Automations, feel free to reach out via linkedin: https://www.linkedin.com/in/yaronbeen/ And check out my Youtube channel: https://www.youtube.com/@YaronBeen/videos
외부 링크
n8n.io에서 보기 →
이 워크플로우 공유