Backlinks von Wettbewerbern analysieren
Experte
Dies ist ein Market Research, AI Summarization-Bereich Automatisierungsworkflow mit 16 Nodes. Hauptsächlich werden Set, Code, GoogleSheets, McpClientTool, ManualTrigger und andere Nodes verwendet. Extrahierung und Analyse von Wettbewerbs-Backlink-Daten mit Bright Data MCP und GPT
Voraussetzungen
- •Google Sheets API-Anmeldedaten
- •OpenAI API Key
Verwendete Nodes (16)
Kategorie
Workflow-Vorschau
Visualisierung der Node-Verbindungen, mit Zoom und Pan
Workflow exportieren
Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n
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"tags": [],
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{
"id": "2ed6588f-489e-4057-8b3b-f9f19ffa0b86",
"name": "Set: Wettbewerber-Domain",
"type": "n8n-nodes-base.set",
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"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "910cdf0d-ed9b-426f-a00e-b0f7c41dc29a",
"name": "url",
"type": "string",
"value": "https://ahrefs.com/"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "b750cb56-d2db-496c-b7ec-53b355049d4d",
"name": "Agent: Backlinks scrapen (Bright Data MCP)",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
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"parameters": {
"text": "=extract any backlinks available from the following url:\n{{ $json.url }}",
"options": {},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 2
},
{
"id": "69860787-3f93-472a-8395-c43c24f6cf02",
"name": "Function: Backlinks aufteilen",
"type": "n8n-nodes-base.code",
"position": [
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],
"parameters": {
"jsCode": "// This Function node takes input like your provided JSON\n// and returns each backlink as a separate item\n\n// 1️⃣ Get the input\nconst input = items[0].json.output;\n\n// 2️⃣ Extract backlinks array\nconst backlinks = input.backlinks;\n\n// 3️⃣ Build output items\nconst output = backlinks.map(backlink => {\n return {\n json: {\n domain: input.domain,\n title: backlink.title,\n url: backlink.url,\n category: backlink.category,\n date: backlink.date\n }\n };\n});\n\n// 4️⃣ Return array of individual items\nreturn output;\n"
},
"typeVersion": 2
},
{
"id": "cfecaa49-3d11-47ec-a18c-cc26b1e52e99",
"name": "Google Sheets: Backlinks anhängen",
"type": "n8n-nodes-base.googleSheets",
"position": [
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],
"parameters": {
"columns": {
"value": {
"url": "={{ $json.url }}",
"date": "={{ $json.date }}",
"title": "={{ $json.title }}",
"domain": "={{ $json.domain }}",
"category": "={{ $json.category }}"
},
"schema": [
{
"id": "domain",
"type": "string",
"display": true,
"required": false,
"displayName": "domain",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "title",
"type": "string",
"display": true,
"required": false,
"displayName": "title",
"defaultMatch": false,
"canBeUsedToMatch": true
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{
"id": "url",
"type": "string",
"display": true,
"required": false,
"displayName": "url",
"defaultMatch": false,
"canBeUsedToMatch": true
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{
"id": "category",
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"required": false,
"displayName": "category",
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{
"id": "date",
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"required": false,
"displayName": "date",
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"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
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"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/11_bI1ZmRuroowdXLaQ9OKM11vnaJ134NcE_tLh7S3jw/edit#gid=0",
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"cachedResultName": "Backlinks"
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"credentials": {
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"content": "## ✅ **🔵 SECTION 1: Input & Trigger**\n\n### ⚙️ **Nodes**\n\n1️⃣ **Trigger: Manual Execute**\n\n\n* **What it does:** This node starts the workflow manually when you click “Execute Workflow.”\n* **Why it’s useful:** It’s the simplest way to test your workflow on demand. Later, you can swap this with a **Schedule** node for daily or weekly runs.\n\n2️⃣ **Set: Competitor Domain**\n\n\n* **What it does:** This node stores the **competitor’s domain** you want to analyze.\n* **Example:** `ahrefs.com` or `moz.com`\n* **Why it’s useful:** You can easily change domains without modifying the whole workflow. For multiple competitors, loop through them!\n\n---\n\n### 💡 **Beginner Benefit**\n\n✅ **Simple input control:** You don’t need to touch code — just type your competitor’s domain in one place.\n✅ **Reusable:** Same input can be reused for any site — just update the domain value.\n\n---\n\n---\n\n"
},
"typeVersion": 1
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"parameters": {
"color": 3,
"width": 380,
"height": 2100,
"content": "## ✅ **🤖 SECTION 2: Agent Scrape Engine**\n\n### ⚙️ **Nodes**\n\n3️⃣ **Agent: Scrape Backlinks (Bright Data MCP)**\n\n\n* **What it does:** Calls your **custom scraping Agent** that uses Bright Data MCP to visit backlink explorer pages (like Ahrefs or Moz) and pull backlink data.\n* **How:** The Agent uses a secure proxy network to get around anti-bot protections and scrapes backlink profiles (URL, anchor text, type, etc.).\n* **Output:** Raw JSON with all backlinks found for the competitor.\n\n**Sub-Nodes:**\n\n* ⚙️ **MCP Client: Execute Scraper**\n \n\n * Connects directly to Bright Data’s backend to run the scraper tool.\n* 💬 **OpenAI Chat Model**\n \n\n * Optional: If your Agent needs an LLM to generate instructions or parse dynamic websites, it talks to OpenAI here.\n* 🗂️ **Output Parser: Backlink JSON**\n \n\n * Ensures the Agent’s raw text comes out as **structured JSON** → easy to split & save later.\n\n---\n\n### 💡 **Beginner Benefit**\n\n✅ **No coding scraping:** You don’t have to build scrapers from scratch. Bright Data + Agent handles the hard part.\n✅ **Dynamic parsing:** The OpenAI node helps the Agent handle weird or changing HTML structures.\n✅ **Safe & scalable:** MCP proxies handle geo-blocks and captchas for you.\n\n---\n\n---\n\n"
},
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"content": "## ✅ **🟢 SECTION 3: Transform & Store**\n\n### ⚙️ **Nodes**\n\n4️⃣ **Function: Split Backlinks**\n\n\n* **What it does:** Takes the JSON output of all backlinks and splits them into **one item per backlink**.\n* **Why:** So each backlink becomes its own row when sent to Google Sheets.\n\n5️⃣ **Google Sheets: Append Backlinks**\n\n\n* **What it does:** Adds each backlink as a **new row** in your Google Sheet.\n* **Columns:** Domain, URL, anchor text, date, category, etc.\n\n---\n\n"
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"content": "## I’ll receive a tiny commission if you join Bright Data through this link—thanks for fueling more free content!\n\n### https://get.brightdata.com/1tndi4600b25"
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"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"
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"content": "## 🎯 **🔗 Competitor Backlink Extraction Workflow**\n\n---\n\n## ✅ **🔵 SECTION 1: Input & Trigger**\n\n### ⚙️ **Nodes**\n\n1️⃣ **Trigger: Manual Execute**\n\n\n* **What it does:** This node starts the workflow manually when you click “Execute Workflow.”\n* **Why it’s useful:** It’s the simplest way to test your workflow on demand. Later, you can swap this with a **Schedule** node for daily or weekly runs.\n\n2️⃣ **Set: Competitor Domain**\n\n\n* **What it does:** This node stores the **competitor’s domain** you want to analyze.\n* **Example:** `ahrefs.com` or `moz.com`\n* **Why it’s useful:** You can easily change domains without modifying the whole workflow. For multiple competitors, loop through them!\n\n---\n\n### 💡 **Beginner Benefit**\n\n✅ **Simple input control:** You don’t need to touch code — just type your competitor’s domain in one place.\n✅ **Reusable:** Same input can be reused for any site — just update the domain value.\n\n---\n\n---\n\n## ✅ **🤖 SECTION 2: Agent Scrape Engine**\n\n### ⚙️ **Nodes**\n\n3️⃣ **Agent: Scrape Backlinks (Bright Data MCP)**\n\n\n* **What it does:** Calls your **custom scraping Agent** that uses Bright Data MCP to visit backlink explorer pages (like Ahrefs or Moz) and pull backlink data.\n* **How:** The Agent uses a secure proxy network to get around anti-bot protections and scrapes backlink profiles (URL, anchor text, type, etc.).\n* **Output:** Raw JSON with all backlinks found for the competitor.\n\n**Sub-Nodes:**\n\n* ⚙️ **MCP Client: Execute Scraper**\n \n\n * Connects directly to Bright Data’s backend to run the scraper tool.\n* 💬 **OpenAI Chat Model**\n \n\n * Optional: If your Agent needs an LLM to generate instructions or parse dynamic websites, it talks to OpenAI here.\n* 🗂️ **Output Parser: Backlink JSON**\n \n\n * Ensures the Agent’s raw text comes out as **structured JSON** → easy to split & save later.\n\n---\n\n### 💡 **Beginner Benefit**\n\n✅ **No coding scraping:** You don’t have to build scrapers from scratch. Bright Data + Agent handles the hard part.\n✅ **Dynamic parsing:** The OpenAI node helps the Agent handle weird or changing HTML structures.\n✅ **Safe & scalable:** MCP proxies handle geo-blocks and captchas for you.\n\n---\n\n---\n\n## ✅ **🟢 SECTION 3: Transform & Store**\n\n### ⚙️ **Nodes**\n\n4️⃣ **Function: Split Backlinks**\n\n\n* **What it does:** Takes the JSON output of all backlinks and splits them into **one item per backlink**.\n* **Why:** So each backlink becomes its own row when sent to Google Sheets.\n\n5️⃣ **Google Sheets: Append Backlinks**\n\n\n* **What it does:** Adds each backlink as a **new row** in your Google Sheet.\n* **Columns:** Domain, URL, anchor text, date, category, etc.\n\n---\n\n### 💡 **Beginner Benefit**\n\n✅ **Automation:** You don’t need to copy-paste backlinks manually — they land in Sheets ready for outreach.\n✅ **Easy tracking:** Use Sheets filters to sort by link type, opportunity, or priority.\n✅ **Plug & play:** This section works with Airtable, Notion, or a CRM too — just switch the last node.\n\n---\n\n---\n\n## ✅✅✅ **✨ FULL FLOW OVERVIEW**\n\n| Section | What happens |\n| -------------------------- | -------------------------------------------------------------------------------------------------------- |\n| ⚡ **Input & Trigger** | You click **Execute**, add a domain, and launch the flow. |\n| 🤖 **Agent Scrape Engine** | The Agent + Bright Data does smart scraping, handles captchas, parses messy HTML, and outputs neat JSON. |\n| 🟢 **Transform & Store** | The JSON is split into single backlinks and each one lands in your Google Sheet for action. |\n\n---\n\n## 📌 **How You Benefit Overall**\n\n✅ No manual scraping\n✅ No manual copy-paste\n✅ No coding headaches\n✅ Fully automated link prospecting → just open your Sheet & start outreach!\n\n---\n\n**✨ This is a beginner-friendly SEO growth engine — and you built it with no code! ✨**\n\n---\n"
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"jsonSchemaExample": "{\n \"domain\": \"https://ahrefs.com/\",\n \"backlinks\": [\n {\n \"title\": \"Ahrefs Certification: What To Expect and How It Works\",\n \"url\": \"https://ahrefs.com/blog/ahrefs-certification/\",\n \"category\": \"Blog\",\n \"date\": \"March 2025\"\n },\n {\n \"title\": \"Ahrefs Blog\",\n \"url\": \"https://ahrefs.com/blog/\",\n \"category\": \"Learn Marketing\"\n },\n {\n \"title\": \"Ahrefs Academy\",\n \"url\": \"https://academy.ahrefs.com\",\n \"category\": \"Learn Marketing\"\n },\n {\n \"title\": \"Ahrefs Podcast\",\n \"url\": \"https://www.youtube.com/c/AhrefsCom\",\n \"category\": \"Learn Marketing\"\n },\n {\n \"title\": \"Ahrefs YouTube Channel\",\n \"url\": \"https://www.youtube.com/c/AhrefsCom\",\n \"category\": \"Learn Marketing\"\n },\n {\n \"title\": \"Help Center\",\n \"url\": \"https://help.ahrefs.com\",\n \"category\": \"Resources\"\n },\n {\n \"title\": \"Ahrefs Data\",\n \"url\": \"https://ahrefs.com/big-data\",\n \"category\": \"Resources\"\n },\n {\n \"title\": \"Agency Directory\",\n \"url\": \"https://www.ahrefs.com/agencies\",\n \"category\": \"User Testimonials and Community\"\n },\n {\n \"title\": \"About Ahrefs\",\n \"url\": \"https://ahrefs.com/about\",\n \"category\": \"Company Information\"\n },\n {\n \"title\": \"Jobs at Ahrefs\",\n \"url\": \"https://ahrefs.com/jobs\",\n \"category\": \"Company Information\"\n },\n {\n \"title\": \"Twitter\",\n \"url\": \"https://x.com/ahrefs\",\n \"category\": \"Social Media\"\n },\n {\n \"title\": \"YouTube\",\n \"url\": \"https://www.youtube.com/c/AhrefsCom\",\n \"category\": \"Social Media\"\n },\n {\n \"title\": \"Instagram\",\n \"url\": \"https://www.instagram.com/ahrefs\",\n \"category\": \"Social Media\"\n },\n {\n \"title\": \"Facebook\",\n \"url\": \"https://www.facebook.com/Ahrefs\",\n \"category\": \"Social Media\"\n },\n {\n \"title\": \"LinkedIn\",\n \"url\": \"https://www.linkedin.com\",\n \"category\": \"Social Media\"\n }\n ]\n}\n"
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}Häufig gestellte Fragen
Wie verwende ich diesen Workflow?
Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.
Für welche Szenarien ist dieser Workflow geeignet?
Experte - Marktforschung, KI-Zusammenfassung
Ist es kostenpflichtig?
Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.
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Autor
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
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