Floke
a37c688e07
- Add detailed plan for migrating market intelligence logic to n8n using a hybrid approach. - Define the first n8n workflow 'identifyCompetitors' as a JSON file for import.
85 lines
2.1 KiB
JSON
85 lines
2.1 KiB
JSON
{
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"name": "Market Intelligence: Identify Competitors",
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"nodes": [
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{
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"parameters": {
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"path": "identify-competitors",
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"options": {}
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},
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"name": "Start",
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"type": "n8n-nodes-base.webhook",
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"typeVersion": 1,
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"position": [
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800,
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300
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],
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"webhookId": "identify-competitors"
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},
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{
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"parameters": {
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"model": "gemini-pro",
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"prompt": "Goal: Identify 10 DIRECT COMPETITORS or LOOKALIKES for the company found at URL: \"{{$json.body.referenceUrl}}\" in \"{{$json.body.targetMarket}}\".\n\nOUTPUT LANGUAGE: {{$json.body.language === 'de' ? 'German' : 'English'}}.\n\nRules:\n1. Focus on the same business model (e.g. Retailer vs Retailer, Brand vs Brand).\n2. Exclude the reference company itself.\n\nReturn ONLY a valid JSON array of objects, where each object has the keys \"name\", \"url\", and \"description\". Example: [{ \"name\": \"...\", \"url\": \"...\", \"description\": \"...\" }]",
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"options": {
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"responseFormat": "json"
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}
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},
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"name": "Identify Competitors",
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"type": "n8n-nodes-base.googleGemini",
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"typeVersion": 1,
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"position": [
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1020,
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300
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],
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"credentials": {
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"googleGeminiApi": {
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"id": "YOUR_GEMINI_CREDENTIAL_ID",
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"name": "Google Gemini API"
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}
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}
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},
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{
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"parameters": {
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"options": {}
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},
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"name": "Respond to Webhook",
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"type": "n8n-nodes-base.respondToWebhook",
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"typeVersion": 1,
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"position": [
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1240,
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300
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]
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}
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],
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"connections": {
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"Start": {
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"main": [
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[
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{
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"node": "Identify Competitors",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Identify Competitors": {
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"main": [
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[
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{
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"node": "Respond to Webhook",
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"type": "main",
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"index": 0
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}
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]
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]
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}
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},
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"active": true,
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"settings": {},
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"tags": [
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{
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"id": "1",
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"name": "Market Intelligence"
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}
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]
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} |