Lead Search Scoring Engine

The workflow JSON

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{
  "name": "Lead Search Scoring Engine",
  "nodes": [
    {
      "parameters": {
        "url": "https://maps.googleapis.com/maps/api/place/textsearch/json",
        "sendQuery": true,
        "queryParameters": {
          "parameters": [
            {
              "name": "query",
              "value": "={{ $json['Business Type'] }} in {{ $json['Target City Area'] }}"
            },
            {
              "name": "key",
              "value": "YOUR_GOOGLE_PLACES_API_KEY"
            }
          ]
        }
      },
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.4,
      "position": [
        224,
        272
      ],
      "id": "11b30c98-15de-40c2-920e-218fd744f57f",
      "name": "HTTP Request"
    },
    {
      "parameters": {
        "jsCode": "// Lead Enrichment & Scoring Engine\nconst input = $input.first();\nconst apiResponse = input.json;\nconst places = apiResponse.results;\nconst minRating = parseFloat($('On form submission').first().json['Min Google Rating']) || 0;\nconst hotThreshold = parseInt($('On form submission').first().json['Hot Lead Score Threshold']) || 60;\n\nconst scoredLeads = [];\nfor (const place of places) {\n  const name = place.name || 'Unknown';\n  const address = place.formatted_address;\n  const rating = place.rating || 0;\n  const reviewCount = place.user_ratings_total || 0;\n  const priceLevel = place.price_level || 0;\n  const isOpen = place.opening_hours?.open_now;\n  const types = place.types;\n  const placeId = place.place_id;\n  const phone = place.formatted_phone_number || 'NA';\n  const website = place.website || 'NA';\n\n  let score = 0;\n  let scoreBreakdown = [];\n\n  // 1. Google Rating (0-25 pts)\n  const ratingScore = Math.round(rating / 5 * 25);\n  score += ratingScore;\n  scoreBreakdown.push(`Rating: ${ratingScore}pts (${rating})`);\n\n  // 2. Review Volume (0-20 pts)\n  let reviewScore = 0;\n  if (reviewCount >= 500) reviewScore = 20;\n  else if (reviewCount >= 200) reviewScore = 15;\n  else if (reviewCount >= 100) reviewScore = 10;\n  else if (reviewCount >= 50) reviewScore = 5;\n  else if (reviewCount >= 20) reviewScore = 3;\n  score += reviewScore;\n  scoreBreakdown.push(`Reviews: ${reviewScore}pts (${reviewCount})`);\n\n  // 3. No Website = Higher Need (0-20 pts)\n  let websiteScore = 0;\n  if (!website || website === 'NA') { websiteScore = 20; scoreBreakdown.push('No website: 20pts'); }\n  else { websiteScore = 5; scoreBreakdown.push('Has website: 5pts'); }\n  score += websiteScore;\n\n  // 4. Currently Open (10 pts)\n  if (isOpen === true) { score += 10; scoreBreakdown.push('Currently open: 10pts'); }\n\n  // 5. Improvement Opportunity (10 pts)\n  if (rating > 0 && rating < 4.0 && reviewCount >= 30) { score += 10; scoreBreakdown.push('Improvement opportunity: 10pts'); }\n\n  // 6. Price Level (0-15 pts)\n  if (priceLevel === 2 || priceLevel === 3) { score += 15; scoreBreakdown.push(`Price tier ${priceLevel}: 15pts`); }\n  else if (priceLevel === 1) { score += 5; scoreBreakdown.push('Price tier 1: 5pts'); }\n\n  if (minRating > 0 && rating < minRating) continue;\n\n  const status = score >= hotThreshold ? 'HOT - Call Now' : 'NURTURE';\n  const priority = score >= 80 ? 'HIGH' : score >= 60 ? 'MEDIUM' : 'LOW';\n\n  scoredLeads.push({\n    json: {\n      name, address, phone, website,\n      google_rating: rating, review_count: reviewCount, price_level: priceLevel, place_id: placeId,\n      lead_score: score, lead_status: status, priority,\n      score_breakdown: scoreBreakdown.join(', '),\n      scored_at: new Date().toISOString(),\n      hot_threshold_used: hotThreshold,\n      google_maps_url: `https://maps.google.com/?cid=${placeId}`\n    }\n  });\n}\n\nscoredLeads.sort((a, b) => b.json.lead_score - a.json.lead_score);\nreturn scoredLeads;"
      },
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        448,
        272
      ],
      "id": "c9435aeb-3d31-440c-9a56-11c04f20c008",
      "name": "Code in JavaScript"
    },
    {
      "parameters": {
        "conditions": {
          "options": {
            "caseSensitive": true,
            "leftValue": "",
            "typeValidation": "strict",
            "version": 3
          },
          "conditions": [
            {
              "id": "14faceba-2d7e-4b1b-ba06-4888fa3e5ad2",
              "leftValue": "={{ $json.lead_status }}",
              "rightValue": "HOT - Call Now",
              "operator": {
                "type": "string",
                "operation": "equals"
              }
            }
          ],
          "combinator": "and"
        }
      },
      "type": "n8n-nodes-base.if",
      "typeVersion": 2.3,
      "position": [
        672,
        272
      ],
      "id": "a4ba928d-6be7-44b5-86d6-aa0b08bfc3c9",
      "name": "If"
    }
  ],
  "connections": {
    "HTTP Request": {
      "main": [
        [
          {
            "node": "Code in JavaScript",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Code in JavaScript": {
      "main": [
        [
          {
            "node": "If",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  },
  "meta": {
    "templateCredsSetupCompleted": true
  }
}

About this workflow

Lead Search Scoring Engine. Uses httpRequest. Manual trigger; 3 nodes.

Source: https://github.com/sunshinemultiplechoice751/outreach-os/blob/main/workflows/01-lead-search-scoring.json — original creator credit. Request a take-down →

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