{ "id": "RLgV19NH2JlyGlwF", "meta": { "templateCredsSetupCompleted": true }, "name": "The Mismatch Engine: AI Lead Discovery for Local Businesses", "tags": [], "nodes": [ { "id": "5f6d08a4-cf94-42aa-9ac5-bf5b50e50566", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -2800, 0 ], "parameters": { "color": 7, "width": 2244, "height": 642, "content": "## Discovery & Targeting\n1. Set the Location & Category\n2. AI determines seasonal patterns & localized search terms\n3. Firecrawl hunts down relevant directory profiles\n4. AI parses exactly 3 high-potential leads from the noise" }, "typeVersion": 1 }, { "id": "483c7a5e-4da8-4852-8ae5-03de0612ac90", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -528, 0 ], "parameters": { "color": 7, "width": 418, "height": 636, "content": "## Deduplication\nChecks the existing database so we never process or pay for the same lead twice." }, "typeVersion": 1 }, { "id": "f36154e3-2033-4fc1-a861-e7dbbdacf356", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ -80, 0 ], "parameters": { "color": 7, "width": 2898, "height": 638, "content": "## The Deep Scrape Loop\nIterates through the new leads with built-in rate limiting.\n1. Scrapes their actual website\n2. Finds and scrapes their 3 closest competitors\n3. Pulls recent customer review snippets for analysis" }, "typeVersion": 1 }, { "id": "7ddedaa6-3534-41f7-9623-ae957bd8f79a", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 2864, 0 ], "parameters": { "color": 7, "width": 578, "height": 626, "content": "## Mismatch Engine\nCalculates reputation vs. digital capability, finds revenue leaks, and writes the sales pitch." }, "typeVersion": 1 }, { "id": "2810ca9d-3c27-4423-8091-58dc35a89228", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ 560, 688 ], "parameters": { "color": 7, "width": 1494, "height": 646, "content": "## Output & Reporting\nRanks the finished leads by opportunity score, saves them to the n8n database, and compiles a clean HTML report." }, "typeVersion": 1 }, { "id": "67b4088a-feb8-46f6-a612-878dd86e598d", "name": "Weekly Monday 9AM", "type": "n8n-nodes-base.scheduleTrigger", "position": [ -2736, 224 ], "parameters": { "rule": { "interval": [ { "field": "cronExpression", "expression": "0 9 * * 1" } ] } }, "typeVersion": 1.2 }, { "id": "e041e89a-a3bd-4b23-adcb-f598c0e644a7", "name": "Configuration", "type": "n8n-nodes-base.set", "position": [ -2512, 224 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "s1", "name": "location", "type": "string", "value": "Helsinki, Finland" }, { "id": "s2", "name": "category", "type": "string", "value": "Restaurants" }, { "id": "s3", "name": "current_month", "type": "number", "value": "={{ $now.month }}" }, { "id": "s4", "name": "run_date", "type": "string", "value": "={{ $now.toFormat('yyyy-MM-dd') }}" } ] } }, "typeVersion": 3.4 }, { "id": "36459253-a414-4d2b-8424-a00f8f4ea234", "name": "Generate Category Signals", "type": "n8n-nodes-base.code", "position": [ -2288, 224 ], "parameters": { "jsCode": "const cfg = $input.first().json;\n\nconst locationLower = cfg.location.toLowerCase();\nconst isGerman = locationLower.includes('germany') || locationLower.includes('berlin') || locationLower.includes('munich');\nconst isFinnish = locationLower.includes('finland') || locationLower.includes('helsinki');\nconst isSpanish = locationLower.includes('spain') || locationLower.includes('madrid');\n\nconst languageHint = isGerman ? ' Include German terms.' : \n isFinnish ? ' Include Finnish terms.' : \n isSpanish ? ' Include Spanish terms.' : \n ' Use English terms.';\n\nconst prompt = `Analyze this business category for seasonal patterns and conversion signals.\\n\\nCategory: ${cfg.category}\\nLocation: ${cfg.location}\\n\\nTask 1 - Peak Season Analysis:\\nIdentify the 2-4 months (1-12) when this business type has highest demand in this location.\\nConsider: local climate, cultural events, holidays, consumer behavior patterns.\\n\\nTask 2 - Conversion Signals:\\nList 5-8 keywords/phrases that indicate a website has online booking or conversion capability.\\n${languageHint}\\n\\nReturn ONLY this JSON structure with NO additional text:\\n{\\n \"peak_months\": [1, 2, 9],\\n \"peak_label\": \"Brief explanation of why these months (max 60 chars)\",\\n \"conversion_signals\": [\"keyword1\", \"keyword2\", \"keyword3\", \"keyword4\", \"keyword5\"]\\n}`;\n\nreturn [{\n json: {\n ...cfg,\n signal_prompt: prompt\n }\n}];" }, "typeVersion": 2 }, { "id": "25c135ed-eb72-4c42-b703-e2279aa5376e", "name": "Basic LLM Chain2", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [ -2064, 224 ], "parameters": { "text": "={{ $json.signal_prompt }}", "batching": {}, "promptType": "define" }, "typeVersion": 1.9 }, { "id": "5d733b19-790a-421e-8d41-c9c049dd46d6", "name": "Groq Chat Model2", "type": "@n8n/n8n-nodes-langchain.lmChatGroq", "position": [ -1992, 448 ], "parameters": { "model": "llama-3.3-70b-versatile", "options": {} }, "credentials": { "groqApi": { "name": "" } }, "typeVersion": 1 }, { "id": "0f45da6e-6e79-411c-b42b-e194b7a6df33", "name": "Parse Category Signals ", "type": "n8n-nodes-base.code", "position": [ -1712, 224 ], "parameters": { "jsCode": "const cfg = $('Configuration').first().json;\nconst rawText = $input.first().json.text || $input.first().json.output || \"\";\n\nlet parsedSignals = {\n peak_months: [1, 6, 12],\n peak_label: \"Peak demand periods\",\n conversion_signals: ['book', 'appointment', 'schedule', 'reserve', 'contact']\n};\n\ntry {\n const jsonMatch = rawText.match(/\\{[\\s\\S]*\\}/);\n if (jsonMatch) {\n const cleanJson = jsonMatch[0];\n const parsed = JSON.parse(cleanJson);\n if (parsed.peak_months && Array.isArray(parsed.peak_months) && parsed.peak_months.length > 0) {\n parsedSignals.peak_months = parsed.peak_months;\n }\n if (parsed.peak_label && typeof parsed.peak_label === 'string') {\n parsedSignals.peak_label = parsed.peak_label;\n }\n if (parsed.conversion_signals && Array.isArray(parsed.conversion_signals) && parsed.conversion_signals.length > 0) {\n parsedSignals.conversion_signals = parsed.conversion_signals;\n }\n }\n} catch (error) {\n console.error('Failed to parse LLM signals, using defaults:', error.message);\n}\n\nreturn [{\n json: {\n category: cfg.category,\n location: cfg.location,\n current_month: cfg.current_month,\n run_date: cfg.run_date,\n season_matrix: { [cfg.category]: { peak_months: parsedSignals.peak_months, label: parsedSignals.peak_label } },\n conversion_signals: { [cfg.category]: parsedSignals.conversion_signals }\n }\n}];" }, "typeVersion": 2 }, { "id": "dd452e7e-4bba-4e69-8184-0328b9977547", "name": "Discovery Search", "type": "@mendable/n8n-nodes-firecrawl.firecrawl", "maxTries": 3, "position": [ -1488, 224 ], "parameters": { "query": "={{ $json.category + ' ' + $json.location + ' (site:yelp.com OR site:tripadvisor.com OR site:google.com/maps)' }}", "resource": "MapSearch", "operation": "search", "requestOptions": {} }, "credentials": { "firecrawlApi": { "name": "" } }, "retryOnFail": true, "typeVersion": 1, "continueOnFail": true, "waitBetweenTries": 3000 }, { "id": "11feb953-9703-4411-b680-8225bdb107e6", "name": "Format Search Context", "type": "n8n-nodes-base.code", "position": [ -1264, 224 ], "parameters": { "jsCode": "const inputItems = $input.all();\nconst cfg = $('Parse Category Signals ').first().json;\n\nconst normalizeFirecrawlResponse = (data) => {\n if (!data) return [];\n if (Array.isArray(data)) return data;\n if (data.data && Array.isArray(data.data)) return data.data;\n if (data.web && Array.isArray(data.web)) return data.web;\n if (data.results && Array.isArray(data.results)) return data.results;\n if (data.data && data.data.web && Array.isArray(data.data.web)) return data.data.web;\n if (data.data && data.data.data && Array.isArray(data.data.data)) return data.data.data;\n return [];\n};\n\nreturn inputItems.map((itemWrapper) => {\n const item = itemWrapper.json;\n const originalData = { ...cfg };\n let results = normalizeFirecrawlResponse(item);\n let ctx = 'No results returned';\n \n if (results.length > 0) {\n ctx = results.slice(0, 8).map((r, i) => {\n const title = r.title || r.metadata?.title || 'No Title';\n const url = r.url || 'No URL';\n const desc = (r.description || r.markdown || '').substring(0, 300);\n return `[${i+1}] ${title}\\nURL: ${url}\\nSnippet: ${desc}`;\n }).join('\\n\\n');\n }\n\n return { json: { ...originalData, search_context: ctx } };\n});" }, "typeVersion": 2 }, { "id": "3d68a84e-dc1a-40ba-83a3-3f5ca01feb74", "name": "Basic LLM Chain", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [ -1040, 224 ], "parameters": { "text": "=Extract exactly 3 local businesses from the search results that match this profile:\n- Independent businesses (NOT chains)\n- High ratings or strong reputation signals\n- Likely need digital improvement\n\nCategory: {{ $('Configuration').first().json.category }}\nLocation: {{ $('Configuration').first().json.location }}\n\nCRITICAL: ONLY extract businesses that are EXACTLY in the \"{{ $('Configuration').first().json.category }}\" category.\nDo NOT include businesses from other categories even if they appear in results.\n\nSearch Results:\n{{ $json.search_context }}\n\nSELECTION CRITERIA (in priority order):\n1. Has reviews/ratings mentioned \u2192 signals reputation\n2. Independent local business \u2192 NOT franchise/chain\n3. Weak digital signals \u2192 old site, no online booking, basic presence\n4. Category match \u2192 must be {{ $('Configuration').first().json.category }}\n\nCRITICAL - URL EXTRACTION:\n- Extract the SPECIFIC business profile URL from ANY directory (Yelp, Google Maps, Foursquare, TripAdvisor, etc.)\n- Must be the BUSINESS PROFILE page\n- NOT search results pages\n- NOT directory homepages\n- Each business MUST have a unique profile URL from a directory site\n\nIf you find fewer than 3 businesses, return only what you found.\nIf search results are empty or contain no {{ $('Configuration').first().json.category }} businesses, return: {\"businesses\": []}\n\nReturn ONLY this JSON structure with NO additional text:\n{\n \"businesses\": [\n {\n \"business_name\": \"Exact name from listing\",\n \"category\": \"{{ $('Configuration').first().json.category }}\",\n \"website_url\": \"Full directory profile URL (any accepted source)\"\n }\n ]\n}", "batching": {}, "promptType": "define" }, "typeVersion": 1.9 }, { "id": "9138da5b-f713-4ec1-9fe1-4cec025c1822", "name": "Groq Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatGroq", "position": [ -968, 448 ], "parameters": { "model": "llama-3.3-70b-versatile", "options": {} }, "credentials": { "groqApi": { "name": "" } }, "typeVersion": 1 }, { "id": "6b0298ac-24f1-4db3-9ee4-fa563e595dae", "name": "Parse Business List", "type": "n8n-nodes-base.code", "position": [ -688, 224 ], "parameters": { "jsCode": "const rawText = $input.first().json.text || \"\";\ntry {\n const jsonMatch = rawText.match(/\\{[\\s\\S]*\\}/);\n if (!jsonMatch) {\n console.log('No JSON found in response:', rawText.substring(0, 200));\n return [];\n }\n const data = JSON.parse(jsonMatch[0]);\n if (!data.businesses || !Array.isArray(data.businesses)) {\n console.error('Invalid schema from LLM: missing businesses array');\n return [];\n }\n const validBusinesses = data.businesses.filter(b => \n b.business_name && typeof b.business_name === 'string' &&\n b.website_url && typeof b.website_url === 'string'\n );\n if (validBusinesses.length > 0) {\n return validBusinesses.slice(0, 3).map(b => ({ \n json: {\n ...b,\n category: b.category ? (b.category.endsWith('s') ? b.category : b.category + 's') : 'Unknown'\n }\n }));\n } else {\n return [];\n }\n} catch (error) {\n console.error('JSON Parsing Failed:', error.message);\n return [{ json: { error: \"JSON Parsing Failed\", message: error.message } }];\n}" }, "typeVersion": 2 }, { "id": "5613c64b-f7b4-47df-ba59-0f12e1e4aab7", "name": "Fetch Existing Leads", "type": "n8n-nodes-base.dataTable", "position": [ -464, 224 ], "parameters": { "operation": "get", "returnAll": true, "dataTableId": { "__rl": true, "mode": "list", "value": "2pGhdxpAThxGwmss", "cachedResultUrl": "/projects/hDHhdcMr4jVn06kt/datatables/2pGhdxpAThxGwmss", "cachedResultName": "Lead Database" } }, "typeVersion": 1, "continueOnFail": true, "alwaysOutputData": true }, { "id": "30d925c4-afb0-4407-b5b4-2638038181e6", "name": "Filter New Leads", "type": "n8n-nodes-base.code", "position": [ -240, 224 ], "parameters": { "jsCode": "const parsedLeads = $('Parse Business List').all().map(i => i.json);\nconst existingLeads = $input.all().map(i => i.json);\n\nconst existingNames = new Set(existingLeads.map(l => (l.business_name || '').toLowerCase().trim()));\n\nconst newLeads = parsedLeads.filter(l => !existingNames.has((l.business_name || '').toLowerCase().trim()) && !l.error);\n\nif (newLeads.length === 0) {\n return []; // Gracefully stops if there are no new leads to process\n}\n\nreturn newLeads.map(l => ({ json: l }));" }, "typeVersion": 2 }, { "id": "08cf87d8-0240-4354-a72a-fccd9190009f", "name": "Process Each Lead", "type": "n8n-nodes-base.splitInBatches", "position": [ -16, 224 ], "parameters": { "options": {} }, "typeVersion": 3, "continueOnFail": true }, { "id": "891d88e6-56f8-4418-823d-5450fddde130", "name": "Rate Limit Delay", "type": "n8n-nodes-base.wait", "position": [ 208, 224 ], "parameters": { "amount": 2 }, "typeVersion": 1.1 }, { "id": "41ab7688-feea-409e-b8bb-4cb509a43222", "name": "Scrape Business Profile", "type": "@mendable/n8n-nodes-firecrawl.firecrawl", "maxTries": 3, "position": [ 432, 224 ], "parameters": { "url": "={{ $json.website_url }}", "parsers": "=", "operation": "scrape", "requestOptions": {} }, "credentials": { "firecrawlApi": { "name": "" } }, "retryOnFail": true, "typeVersion": 1, "continueOnFail": true, "waitBetweenTries": 3000 }, { "id": "a7209fa1-c3fd-43b9-aea7-b8f5629cd5b3", "name": "Has Website?", "type": "n8n-nodes-base.if", "position": [ 656, 224 ], "parameters": { "options": {}, "conditions": { "options": { "version": 1, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "c1", "operator": { "type": "string", "operation": "notEquals" }, "leftValue": "={{ $json.website }}", "rightValue": "none" } ] } }, "typeVersion": 2 }, { "id": "177faa98-6891-4621-8055-4b1b2c29ffb4", "name": "Scrape Website", "type": "@mendable/n8n-nodes-firecrawl.firecrawl", "maxTries": 3, "position": [ 880, 128 ], "parameters": { "url": "={{ $json.website }}", "operation": "scrape", "requestOptions": {} }, "credentials": { "firecrawlApi": { "name": "" } }, "retryOnFail": true, "typeVersion": 1, "continueOnFail": true, "waitBetweenTries": 3000 }, { "id": "61c4ca7a-f4b7-49a7-a0fa-d61af8d64416", "name": "Merge Website", "type": "n8n-nodes-base.code", "position": [ 1104, 128 ], "parameters": { "jsCode": "try {\n const lead = $('Process Each Lead').item.json;\n if (lead._error) return [{ json: lead }];\n\n const scrape = $input.first().json || {};\n if (scrape.error) throw new Error(scrape.error.message || 'Website Scrape API Error');\n\n const scrapeData = scrape.data || scrape;\n return [{\n json: {\n ...lead,\n website_markdown: scrapeData.markdown || '',\n website_screenshot: scrapeData.screenshot || null,\n website_exists: true\n }\n }];\n} catch (error) {\n const lead = $('Process Each Lead').item?.json || {};\n return [{ json: { ...lead, _error: error.message, _failed_step: 'website_scrape', website_exists: false } }];\n}" }, "typeVersion": 2 }, { "id": "cc62249c-4e26-4769-9142-572895eb3f9f", "name": "No Website Path", "type": "n8n-nodes-base.code", "position": [ 1104, 320 ], "parameters": { "jsCode": "const lead = $('Process Each Lead').item.json;\nif (lead._error) return [{ json: lead }];\nreturn [{\n json: {\n ...lead,\n website_markdown: '',\n website_screenshot: null,\n website_exists: false\n }\n}];" }, "typeVersion": 2 }, { "id": "9d95a0da-0f37-47a8-b67f-d102333674f0", "name": "Find Competitors", "type": "@mendable/n8n-nodes-firecrawl.firecrawl", "maxTries": 3, "position": [ 1328, 224 ], "parameters": { "query": "={{ $json.category + ' near ' + ($json.address || $json.location) + ' -' + $json.business_name }}", "resource": "MapSearch", "operation": "search", "requestOptions": {} }, "credentials": { "firecrawlApi": { "name": "" } }, "retryOnFail": true, "typeVersion": 1, "continueOnFail": true, "waitBetweenTries": 3000 }, { "id": "083ee6cc-9099-45dc-a180-8e3da908a4d7", "name": "Filter Competitors", "type": "n8n-nodes-base.code", "position": [ 1552, 224 ], "parameters": { "jsCode": "try {\n const lead = $input.first().json;\n if (lead._error) return [{ json: lead }];\n\n const normalizeFirecrawlResponse = (data) => {\n if (!data) return [];\n if (Array.isArray(data)) return data;\n if (data.data && Array.isArray(data.data)) return data.data;\n if (data.web && Array.isArray(data.web)) return data.web;\n if (data.results && Array.isArray(data.results)) return data.results;\n if (data.data && data.data.web && Array.isArray(data.data.web)) return data.data.web;\n if (data.data && data.data.data && Array.isArray(data.data.data)) return data.data.data;\n return [];\n };\n\n const results = normalizeFirecrawlResponse(lead);\n \n let leadDomain = '';\n if (lead.website_url) {\n try { leadDomain = new URL(lead.website_url).hostname.replace('www.', ''); } catch(e) {}\n }\n\n const leadNameLower = (lead.business_name || '').toLowerCase();\n const skipDomains = ['yelp.com', 'facebook.com', 'instagram.com', 'tripadvisor.com', 'google.com', 'googleusercontent.com'];\n\n const competitors = results\n .map(r => ({ url: r.url || '', title: r.title || r.metadata?.title || '' }))\n .filter(c => {\n if (!c.url || !c.url.startsWith('http')) return false;\n if (leadDomain && c.url.includes(leadDomain)) return false;\n if (leadNameLower.length > 4 && c.title.toLowerCase().includes(leadNameLower)) return false;\n try {\n const hostname = new URL(c.url).hostname.replace('www.', '');\n if (skipDomains.some(d => hostname.includes(d))) return false;\n } catch(e) { return false; }\n return true;\n })\n .slice(0, 3);\n\n return [{ json: { ...lead, data: undefined, results: undefined, competitor_urls: competitors.map(c => c.url) } }];\n} catch (error) {\n const lead = $input.first().json || {};\n return [{ json: { ...lead, _error: error.message, _failed_step: 'filter_competitors' } }];\n}" }, "typeVersion": 2 }, { "id": "723c14a4-9058-445f-82d8-a0193853f108", "name": "Split Competitors", "type": "n8n-nodes-base.code", "position": [ 1776, 224 ], "parameters": { "jsCode": "try {\n const lead = $input.first().json;\n if (lead._error) return [{ json: lead }];\n\n const urls = lead.competitor_urls || [];\n if (urls.length === 0) return [{ json: { ...lead, _skip_comp: true, _comp_idx: 0, _total: 0 } }];\n\n return urls.map((url, idx) => ({\n json: { _parent_lead: lead, _comp_url: url, _comp_idx: idx, _total: urls.length }\n }));\n} catch (error) {\n const lead = $input.first().json || {};\n return [{ json: { ...lead, _error: error.message, _failed_step: 'split_competitors' } }];\n}" }, "typeVersion": 2 }, { "id": "28f37a4c-e554-4f31-8870-141ef4db0e93", "name": "Scrape Competitor", "type": "@mendable/n8n-nodes-firecrawl.firecrawl", "maxTries": 3, "position": [ 2000, 224 ], "parameters": { "url": "={{ $json._comp_url }}", "operation": "scrape", "requestOptions": {} }, "credentials": { "firecrawlApi": { "name": "" } }, "retryOnFail": true, "typeVersion": 1, "continueOnFail": true, "waitBetweenTries": 3000 }, { "id": "d637d4ab-cac1-4225-bd35-d091219cdb54", "name": "Merge Competitors", "type": "n8n-nodes-base.code", "position": [ 2224, 224 ], "parameters": { "jsCode": "try {\n const items = $input.all();\n if (!items.length) return [];\n if (items[0].json._error) return [{ json: items[0].json }];\n\n if (items[0].json._skip_comp) {\n const { _skip_comp, _comp_idx, _total, ...cleanLead } = items[0].json;\n return [{ json: { ...cleanLead, competitor_markdowns: [] } }];\n }\n\n const parentLead = items[0].json._parent_lead;\n const validItems = items.filter(i => typeof i.json._comp_idx === 'number');\n \n if (validItems.length !== items.length) {\n console.error(`Missing competitor indexes: expected ${items.length}, got ${validItems.length}`);\n }\n\n const sorted = validItems.sort((a, b) => a.json._comp_idx - b.json._comp_idx);\n const markdowns = sorted.map(i => (i.json.data || i.json).markdown || '');\n\n return [{ json: { ...parentLead, competitor_markdowns: markdowns } }];\n} catch (error) {\n const parentLead = $input.all()[0]?.json?._parent_lead || {};\n return [{ json: { ...parentLead, _error: error.message, _failed_step: 'merge_competitors' } }];\n}" }, "typeVersion": 2 }, { "id": "fbf76368-8703-4fcf-86d6-f8bedfb1226a", "name": "Search Reviews", "type": "@mendable/n8n-nodes-firecrawl.firecrawl", "maxTries": 3, "position": [ 2448, 224 ], "parameters": { "query": "={{ $json.business_name + ' ' + ($json.address || '') + ' reviews bewertungen' }}", "resource": "MapSearch", "operation": "search", "requestOptions": {} }, "credentials": { "firecrawlApi": { "name": "" } }, "retryOnFail": true, "typeVersion": 1, "continueOnFail": true, "waitBetweenTries": 3000 }, { "id": "ab9bf777-f316-4488-b498-4a70e00453c4", "name": "Extract Review Snippets", "type": "n8n-nodes-base.code", "position": [ 2672, 224 ], "parameters": { "jsCode": "try {\n const lead = $input.first().json;\n if (lead._error) return [{ json: lead }];\n\n const normalizeFirecrawlResponse = (data) => {\n if (!data) return [];\n if (Array.isArray(data)) return data;\n if (data.data && Array.isArray(data.data)) return data.data;\n if (data.web && Array.isArray(data.web)) return data.web;\n if (data.results && Array.isArray(data.results)) return data.results;\n if (data.data && data.data.web && Array.isArray(data.data.web)) return data.data.web;\n if (data.data && data.data.data && Array.isArray(data.data.data)) return data.data.data;\n return [];\n };\n\n const results = normalizeFirecrawlResponse(lead);\n const snippets = results\n .slice(0, 5)\n .map(r => (r.description || r.markdown || '').substring(0, 500))\n .filter(t => t.length > 30);\n\n return [{ json: { ...lead, data: undefined, results: undefined, review_snippets: snippets } }];\n} catch (error) {\n const lead = $input.first().json || {};\n return [{ json: { ...lead, _error: error.message, _failed_step: 'extract_reviews' } }];\n}" }, "typeVersion": 2 }, { "id": "235a4e95-1bff-4671-a8e3-4f809d7e3cf2", "name": "Basic LLM Chain1", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [ 2976, 224 ], "parameters": { "text": "=Extract specific services that customers are praising from these reviews.\n\nBusiness: {{ $json.business_name }}\nCategory: {{ $json.category }}\n\nReviews:\n{{ ($json.review_snippets || []).join('\\n---\\n').substring(0, 2500) }}\n\nRULES:\n1. Only extract CONCRETE SERVICES that customers explicitly praise or describe positively\n2. Use the exact terminology from reviews when possible (e.g., \"balayage\" not \"hair coloring\")\n3. Ignore: staff names, atmosphere comments, parking, prices, general praise (\"great service\")\n4. Extract service names only - no descriptions or qualifiers\n5. Return empty array if no specific services are mentioned\n\nReturn ONLY valid JSON in this exact format:\n{\n \"services\": [\"service1\", \"service2\"]\n}", "batching": {}, "promptType": "define" }, "typeVersion": 1.9 }, { "id": "6871732b-628e-4ead-9432-1e49f5c0447f", "name": "Groq Chat Model1", "type": "@n8n/n8n-nodes-langchain.lmChatGroq", "position": [ 2976, 448 ], "parameters": { "model": "llama-3.3-70b-versatile", "options": {} }, "credentials": { "groqApi": { "name": "" } }, "typeVersion": 1 }, { "id": "f8e88a98-6ac3-4532-8317-e0069576d3aa", "name": "The Mismatch Engine", "type": "n8n-nodes-base.code", "position": [ 3264, 400 ], "parameters": { "jsCode": "try {\n const lead = $('Extract Review Snippets').item?.json || $input.first().json || {};\n if (lead._error) return [{ json: lead }];\n\n const openaiResp = $input.first().json || {};\n let praisedServices = [];\n try {\n const content = openaiResp?.choices?.[0]?.message?.content || openaiResp?.text || '{}';\n const parsed = JSON.parse(content);\n praisedServices = Array.isArray(parsed.services) ? parsed.services : [];\n } catch(e) { praisedServices = []; }\n\n const currentMonth = parseInt(lead.current_month) || (new Date().getMonth() + 1);\n const category = lead.category || 'Unknown';\n const seasonMatrix = lead.season_matrix || {};\n const conversionSignals = lead.conversion_signals || {};\n\n const mkdwn = (lead.website_markdown || '').toLowerCase();\n const websiteExists = !!lead.website_exists;\n const hasHttps = lead.website_url ? lead.website_url.startsWith('https') : false;\n const hasMobileViewport = mkdwn.includes('viewport');\n const copyrightMatch = mkdwn.match(/copyright[^\\d]*(20\\d{2})|\u00a9\\s*(20\\d{2})/);\n const copyrightYear = copyrightMatch ? parseInt(copyrightMatch[1] || copyrightMatch[2]) : null;\n const hasOldCopyright = copyrightYear ? copyrightYear < 2020 : false;\n\n const convSignals = conversionSignals[category] || [];\n const hasConversionPath = convSignals.some(s => mkdwn.includes(s.toLowerCase()));\n\n const cmsMap = { WordPress: ['wp-content','wp-includes'], Wix: ['wix.com','wixsite'], Squarespace: ['squarespace'], Jimdo: ['jimdo'], Joomla: ['joomla'] };\n let detectedCms = null;\n for (const [cms, sigs] of Object.entries(cmsMap)) {\n if (sigs.some(s => mkdwn.includes(s))) { detectedCms = cms; break; }\n }\n\n const revenueLeak = praisedServices.filter(svc =>\n svc && typeof svc === 'string' && !mkdwn.includes(svc.toLowerCase())\n );\n\n const compMarkdowns = lead.competitor_markdowns || [];\n let competitorsWithConversion = 0;\n for (const md of compMarkdowns) {\n if (convSignals.some(s => (md || '').toLowerCase().includes(s.toLowerCase()))) {\n competitorsWithConversion++;\n }\n }\n\n const seasonData = seasonMatrix[category];\n let seasonalUrgency = null;\n let weeksToPeak = null;\n let peakLabel = null;\n if (seasonData && Array.isArray(seasonData.peak_months)) {\n peakLabel = seasonData.label;\n const diffs = seasonData.peak_months.map(pm => {\n let d = pm - currentMonth;\n if (d <= 0) d += 12;\n return d;\n });\n const minMonths = Math.min(...diffs);\n weeksToPeak = Math.round(minMonths * 4.33);\n seasonalUrgency = minMonths <= 2 ? 'CRITICAL' : minMonths <= 4 ? 'HIGH' : 'MEDIUM';\n }\n\n const reviewCount = parseInt(lead.directory_review_count) || 0;\n const rating = parseFloat(lead.directory_rating) || 0;\n\n const reputationScore = Math.min(100, (Math.min(reviewCount, 200) / 200 * 60) + (rating / 5 * 40));\n\n let digitalScore = 0;\n if (websiteExists) {\n if (hasHttps) digitalScore += 20;\n if (hasMobileViewport) digitalScore += 20;\n if (!hasOldCopyright) digitalScore += 15;\n if (hasConversionPath) digitalScore += 30;\n if (!detectedCms || !['Wix','Jimdo','Joomla'].includes(detectedCms)) digitalScore += 15;\n }\n\n const mismatchRaw = reputationScore - (digitalScore * 0.6);\n const mismatchScore = Math.max(0, Math.min(100, Math.round(mismatchRaw) + 40));\n\n let opportunityScore = mismatchScore;\n if (revenueLeak.length > 0) opportunityScore += 15;\n if (competitorsWithConversion > 0) opportunityScore += 10;\n if (seasonalUrgency === 'CRITICAL') opportunityScore += 10;\n else if (seasonalUrgency === 'HIGH') opportunityScore += 5;\n opportunityScore = Math.min(100, Math.round(opportunityScore));\n\n const opportunityTier = opportunityScore >= 75 ? 'High' : opportunityScore >= 50 ? 'Medium' : 'Low';\n\n const objectiveIssues = [];\n const heuristicIssues = [];\n if (!websiteExists) objectiveIssues.push('No website found in public listings');\n else {\n if (!hasHttps) objectiveIssues.push('No HTTPS');\n if (!hasMobileViewport) objectiveIssues.push('No mobile viewport meta tag');\n if (hasOldCopyright) objectiveIssues.push(`Copyright year ${copyrightYear}`);\n if (!hasConversionPath) objectiveIssues.push(`No ${category} conversion path`);\n }\n if (detectedCms && ['Wix','Jimdo','Joomla'].includes(detectedCms)) heuristicIssues.push(`Built with ${detectedCms} \u2014 may indicate template-based site`);\n if (hasOldCopyright) heuristicIssues.push('Site freshness appears low');\n\n const websiteIssues = [\n ...objectiveIssues.map(i => `[Objective] ${i}`),\n ...heuristicIssues.map(i => `[Heuristic] ${i}`)\n ].join('; ') || 'None detected';\n\n const observedFacts = [];\n const heuristicAssessment = [];\n if (!websiteExists) observedFacts.push('No website found in public directory listings');\n else {\n observedFacts.push(`Website: ${lead.website_url}`);\n observedFacts.push(hasHttps ? 'HTTPS present' : 'HTTPS absent');\n observedFacts.push(hasMobileViewport ? 'Mobile viewport tag present' : 'Mobile viewport tag absent');\n if (copyrightYear) observedFacts.push(`Footer copyright: ${copyrightYear}`);\n observedFacts.push(hasConversionPath ? `${category} conversion path detected` : `No ${category} conversion path`);\n if (detectedCms) observedFacts.push(`CMS: ${detectedCms}`);\n }\n if (reviewCount > 0) observedFacts.push(`${reviewCount} public reviews at ${rating} stars average`);\n if (hasOldCopyright) heuristicAssessment.push(`Site freshness low (~${copyrightYear})`);\n if (detectedCms && ['Wix','Jimdo','Joomla'].includes(detectedCms)) heuristicAssessment.push(`${detectedCms} template suggests DIY build`);\n if (competitorsWithConversion > 0) heuristicAssessment.push(`${competitorsWithConversion} nearby competitors appear more digitally capable`);\n if (reputationScore > 70 && digitalScore < 40) heuristicAssessment.push('Strong reputation paired with weak digital execution');\n\n let pitchHook, pitchAngle;\n if (revenueLeak.length > 0) {\n pitchAngle = 'Revenue Leak';\n pitchHook = `Your customers are telling Google you do exceptional ${revenueLeak[0]}. Your website does not know that word exists.`;\n } else if (!websiteExists) {\n pitchAngle = 'Missing Presence';\n pitchHook = `You have ${reviewCount} reviews and ${rating} stars. Every person who finds you online and wants to book has nowhere to go.`;\n } else if (!hasConversionPath) {\n pitchAngle = 'Missing Conversion';\n pitchHook = `You have ${reviewCount} strong reviews and no way for a new customer to take action after reading them.`;\n } else if (competitorsWithConversion > 0) {\n pitchAngle = 'Competitive Pressure';\n pitchHook = `${competitorsWithConversion} of your nearest competitors have online booking. You are the only one in this cluster without it.`;\n } else if (seasonalUrgency === 'CRITICAL') {\n pitchAngle = 'Seasonal Timing';\n pitchHook = `${peakLabel} is ${weeksToPeak} weeks away. Now is the window where a website upgrade pays for itself fastest.`;\n } else {\n pitchAngle = 'General Mismatch';\n pitchHook = `Strong reputation with ${reviewCount} reviews \u2014 your digital presence is not converting that trust into new bookings.`;\n }\n\n const whyPoints = [\n !websiteExists ? 'No website in public listings' : null,\n revenueLeak.length > 0 ? `Revenue leak: praised services absent from website (${revenueLeak.slice(0,2).join(', ')})` : null,\n !hasConversionPath && websiteExists ? `No ${category} conversion path` : null,\n competitorsWithConversion > 0 ? `${competitorsWithConversion} nearby competitors stronger digitally` : null,\n seasonalUrgency === 'CRITICAL' ? `Peak season in ~${weeksToPeak} weeks` : null\n ].filter(Boolean);\n\n return [{ json: {\n run_date: lead.run_date,\n business_name: lead.business_name,\n category,\n address: lead.address || 'not listed',\n phone: lead.phone || 'not listed',\n website: lead.website_url || 'none',\n website_issues: websiteIssues,\n services_listed: Array.isArray(lead.services_listed) ? lead.services_listed.join(', ') : 'not listed',\n opportunity_score: opportunityTier,\n opportunity_score_numeric: opportunityScore,\n why_a_lead: whyPoints.join('. '),\n source_links: lead.directory_source_url || 'not listed',\n public_rating: rating,\n review_count: reviewCount,\n tech_signals: detectedCms || 'not detected',\n freshness_signal: copyrightYear ? `Footer copyright ${copyrightYear}` : 'not detected',\n competitor_urls: (lead.competitor_urls || []).join(', '),\n competitors_with_booking: competitorsWithConversion,\n website_screenshot: lead.website_screenshot || null,\n praised_services: praisedServices.join(', ') || 'none extracted',\n revenue_leak_services: revenueLeak.join(', ') || 'none',\n revenue_leak_detected: revenueLeak.length > 0,\n seasonal_urgency: seasonalUrgency || 'not applicable',\n weeks_to_peak_season: weeksToPeak || null,\n peak_season_context: peakLabel || null,\n reputation_score: parseFloat(reputationScore.toFixed(1)),\n digital_score: parseFloat(digitalScore.toFixed(1)),\n mismatch_score: mismatchScore,\n pitch_angle: pitchAngle,\n pitch_hook: pitchHook,\n observed_facts: observedFacts.join('. '),\n heuristic_assessment: heuristicAssessment.join('. ') || 'No heuristic flags'\n }}];\n} catch (error) {\n const lead = $('Extract Review Snippets').item?.json || $input.first().json || {};\n return [{ json: { ...lead, _error: error.message, _failed_step: 'mismatch_engine' } }];\n}" }, "typeVersion": 2 }, { "id": "eacd61a7-1f9c-4913-857e-9d8d7fe5eb6c", "name": "Aggregate All Leads", "type": "n8n-nodes-base.aggregate", "position": [ 688, 896 ], "parameters": { "options": {}, "aggregate": "aggregateAllItemData" }, "typeVersion": 1 }, { "id": "a37a5b0e-5e88-4b45-af25-5ab7fd05f72c", "name": "Rank and Deduplicate", "type": "n8n-nodes-base.code", "position": [ 912, 896 ], "parameters": { "jsCode": "const aggregated = $('Aggregate All Leads').first().json.data || $('Aggregate All Leads').first().json || [];\nconst leadsArray = Array.isArray(aggregated) ? aggregated : [aggregated];\n\nconst newLeads = leadsArray\n .filter(l => l && l.business_name && !l._error) \n .sort((a, b) => (b.opportunity_score_numeric || 0) - (a.opportunity_score_numeric || 0))\n .slice(0, 10);\n\nif (newLeads.length === 0) return [{ json: { _no_new_leads: true } }];\nreturn newLeads.map(l => ({ json: l }));" }, "typeVersion": 2 }, { "id": "553c7d96-7b05-441d-a1fa-4522e03b833d", "name": "Filter Valid Leads", "type": "n8n-nodes-base.code", "position": [ 1136, 896 ], "parameters": { "jsCode": "const items = $input.all();\nconst validLeads = items.filter(item => !item.json._no_new_leads && !item.json._error);\nif (validLeads.length === 0) return [];\nreturn validLeads;" }, "typeVersion": 2 }, { "id": "f397728b-ddc0-4e92-80e8-084a9780af59", "name": "Save to n8n Table", "type": "n8n-nodes-base.dataTable", "position": [ 1360, 800 ], "parameters": { "columns": { "value": { "website": "={{ $json.website }}", "category": "={{ $json.category }}", "pitch_hook": "={{ $json.pitch_hook }}", "business_name": "={{ $json.business_name }}", "opportunity_score": "={{ $json.opportunity_score }}" }, "mappingMode": "defineBelow" }, "options": {}, "dataTableId": { "__rl": true, "mode": "list", "value": "2pGhdxpAThxGwmss", "cachedResultUrl": "/projects/hDHhdcMr4jVn06kt/datatables/2pGhdxpAThxGwmss", "cachedResultName": "Lead Database" } }, "typeVersion": 1, "continueOnFail": true }, { "id": "6af50b02-95e0-421d-b774-6f6d3ed27b12", "name": "Aggregate for Report", "type": "n8n-nodes-base.aggregate", "position": [ 1360, 992 ], "parameters": { "options": {}, "aggregate": "aggregateAllItemData" }, "typeVersion": 1 }, { "id": "842b3184-8e0e-483f-9221-74ff791c7dda", "name": "Build HTML Report", "type": "n8n-nodes-base.code", "position": [ 1584, 896 ], "parameters": { "jsCode": "const allLeads = $input.first().json.data || [];\nconst leads = allLeads.filter(l => !l._no_new_leads);\nconst top5 = leads.slice(0, 5);\nconst runDate = new Date().toLocaleDateString('en-GB', { day: 'numeric', month: 'long', year: 'numeric' });\n\nif (leads.length === 0) {\n return [{ json: { html_report: '

No new leads this week

' } }];\n}\n\nconst tierColor = t => ({ High: '#10b981', Medium: '#f59e0b', Low: '#6b7280' }[t] || '#6b7280');\nconst ue = u => ({ CRITICAL: '\ud83d\udd34', HIGH: '\ud83d\udfe0', MEDIUM: '\ud83d\udfe1' }[u] || '');\n\nconst renderLead = (lead, rank) => {\n const hasShot = lead.website_screenshot && String(lead.website_screenshot).length > 100;\n const urgEmoji = lead.seasonal_urgency && lead.seasonal_urgency !== 'not applicable' ? ue(lead.seasonal_urgency) : '';\n return `\\n
\\n
\\n
#${rank+1}
\\n
\\n

${lead.business_name}

\\n
${lead.category} \u00b7 ${lead.address}
\\n
\\n
\\n
${lead.opportunity_score_numeric}
\\n
${lead.opportunity_score}
\\n
\\n
\\n
\\n \u2b50 ${lead.public_rating} stars \u00b7 ${lead.review_count} reviews\\n \ud83d\udcde ${lead.phone}\\n \ud83c\udf10 ${lead.website !== 'none' ? `${lead.website}` : 'No website'}\\n ${urgEmoji ? `${urgEmoji} Peak in ~${lead.weeks_to_peak_season} weeks` : ''}\\n
\\n ${hasShot ? `
` : ''}\\n
\\n
\ud83d\udcac ${lead.pitch_angle} Pitch
\\n
${lead.pitch_hook}
\\n
\\n
\\n
\\n Reputation
${lead.reputation_score}\\n
\\n
\\n Digital Presence
${lead.digital_score}\\n
\\n
\\n Mismatch
${lead.mismatch_score}\\n
\\n
\\n ${lead.revenue_leak_detected ? `
\ud83d\udcb8 Revenue Leak: Customers praise ${lead.revenue_leak_services} but absent from website.
` : ''}\\n ${lead.competitors_with_booking > 0 ? `
\u2694\ufe0f Competitor Pressure: ${lead.competitors_with_booking} nearby competitors have conversion paths this lead lacks.
` : ''}\\n
\\n
Observed Facts
${lead.observed_facts}
\\n
Heuristic Assessment
${lead.heuristic_assessment}
\\n
\\n
\\n ${lead.tech_signals !== 'not detected' ? 'Built on ' + lead.tech_signals : ''}\\n Directory source \u2192\\n
\\n
`;\n};\n\nconst html = `Mismatch Engine Report \u2014 ${runDate}\\n\\n
\\n
\\n

Mismatch Engine Report

\\n
${runDate} \u00b7 Top ${top5.length} leads by Mismatch Score
\\n
\\n
\\n
${leads.length}
New Leads
\\n
${leads.filter(l=>l.revenue_leak_detected).length}
Revenue Leaks
\\n
${leads.filter(l=>l.website==='none').length}
No Website
\\n
${leads.filter(l=>l.seasonal_urgency==='CRITICAL').length}
Critical Timing
\\n
\\n ${top5.map((l,i) => renderLead(l,i)).join('')}\\n
Generated by The Mismatch Engine \u00b7 n8n \u00d7 Firecrawl
\\n
`;\n\nreturn [{ json: { html_report: html, lead_count: leads.length } }];" }, "typeVersion": 2 }, { "id": "2dc123c4-0d04-4475-b94f-20a3adc5f0d3", "name": "Build Slack Report", "type": "n8n-nodes-base.code", "position": [ 1584, 1088 ], "parameters": { "jsCode": "const aggregated = $('Aggregate for Report').first().json.data || [];\nif (aggregated.length === 0) return [{ json: { _no_new_leads: true } }];\nreturn aggregated.map(l => ({ json: { ...l } }));" }, "typeVersion": 2 }, { "id": "9bd29ec0-5738-445b-aa8c-68f2f8667aaf", "name": "Send Slack", "type": "n8n-nodes-base.slack", "position": [ 1808, 1088 ], "parameters": { "otherOptions": {}, "authentication": "oAuth2" }, "typeVersion": 2.2 }, { "id": "85c2658a-2464-466b-9275-b5c78e3b992e", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ -3344, 0 ], "parameters": { "width": 486, "height": 640, "content": "\n\n\n\n# The Mismatch Engine: AI Lead Discovery for Local Businesses\n## How it works\n1. **Trigger**: Runs automatically every week (or manually).\n2. **Discover**: AI & Firecrawl hunt down relevant local businesses.\n3. **Scrape**: Analyzes websites, top competitors, and reviews in depth.\n4. **Evaluate**: Calculates a Mismatch Score (reputation vs. digital presence).\n5. **Report**: Generates an HTML report and saves leads to the database.\n\n## Setup steps\n- [ ] Connect Firecrawl API Credentials\n- [ ] Connect Groq API Credentials (LLM)\n- [ ] Update `location` and `category` in Configuration node\n- [ ] Set up 'Lead Database' n8n Table\n- [ ] (Optional) Connect Slack account for notifications" }, "typeVersion": 1 } ], "active": false, "settings": { "binaryMode": "separate", "executionOrder": "v1" }, "versionId": "de31735c-cdee-4d66-ab16-3cda8368c8c0", "connections": { "Has Website?": { "main": [ [ { "node": "Scrape Website", "type": "main", "index": 0 } ], [ { "node": "No Website Path", "type": "main", "index": 0 } ] ] }, "Configuration": { "main": [ [ { "node": "Generate Category Signals", "type": "main", "index": 0 } ] ] }, "Merge Website": { "main": [ [ { "node": "Find Competitors", "type": "main", "index": 0 } ] ] }, "Scrape Website": { "main": [ [ { "node": "Merge Website", "type": "main", "index": 0 } ] ] }, "Search Reviews": { "main": [ [ { "node": "Extract Review Snippets", "type": "main", "index": 0 } ] ] }, "Basic LLM Chain": { "main": [ [ { "node": "Parse Business List", "type": "main", "index": 0 } ] ] }, "Groq Chat Model": { "ai_languageModel": [ [ { "node": "Basic LLM Chain", "type": "ai_languageModel", "index": 0 } ] ] }, "No Website Path": { "main": [ [ { "node": "Find Competitors", "type": "main", "index": 0 } ] ] }, "Basic LLM Chain1": { "main": [ [ { "node": "The Mismatch Engine", "type": "main", "index": 0 } ] ] }, "Basic LLM Chain2": { "main": [ [ { "node": "Parse Category Signals ", "type": "main", "index": 0 } ] ] }, "Discovery Search": { "main": [ [ { "node": "Format Search Context", "type": "main", "index": 0 } ] ] }, "Filter New Leads": { "main": [ [ { "node": "Process Each Lead", "type": "main", "index": 0 } ] ] }, "Find Competitors": { "main": [ [ { "node": "Filter Competitors", "type": "main", "index": 0 } ] ] }, "Groq Chat Model1": { "ai_languageModel": [ [ { "node": "Basic LLM Chain1", "type": "ai_languageModel", "index": 0 } ] ] }, "Groq Chat Model2": { "ai_languageModel": [ [ { "node": "Basic LLM Chain2", "type": "ai_languageModel", "index": 0 } ] ] }, "Rate Limit Delay": { "main": [ [ { "node": "Scrape Business Profile", "type": "main", "index": 0 } ] ] }, "Merge Competitors": { "main": [ [ { "node": "Search Reviews", "type": "main", "index": 0 } ] ] }, "Process Each Lead": { "main": [ [ { "node": "Rate Limit Delay", "type": "main", "index": 0 } ], [ { "node": "Aggregate All Leads", "type": "main", "index": 0 } ] ] }, "Scrape Competitor": { "main": [ [ { "node": "Merge Competitors", "type": "main", "index": 0 } ] ] }, "Split Competitors": { "main": [ [ { "node": "Scrape Competitor", "type": "main", "index": 0 } ] ] }, "Weekly Monday 9AM": { "main": [ [ { "node": "Configuration", "type": "main", "index": 0 } ] ] }, "Build Slack Report": { "main": [ [ { "node": "Send Slack", "type": "main", "index": 0 } ] ] }, "Filter Competitors": { "main": [ [ { "node": "Split Competitors", "type": "main", "index": 0 } ] ] }, "Filter Valid Leads": { "main": [ [ { "node": "Save to n8n Table", "type": "main", "index": 0 }, { "node": "Aggregate for Report", "type": "main", "index": 0 } ] ] }, "Aggregate All Leads": { "main": [ [ { "node": "Rank and Deduplicate", "type": "main", "index": 0 } ] ] }, "Parse Business List": { "main": [ [ { "node": "Fetch Existing Leads", "type": "main", "index": 0 } ] ] }, "The Mismatch Engine": { "main": [ [ { "node": "Process Each Lead", "type": "main", "index": 0 } ] ] }, "Aggregate for Report": { "main": [ [ { "node": "Build HTML Report", "type": "main", "index": 0 }, { "node": "Build Slack Report", "type": "main", "index": 0 } ] ] }, "Fetch Existing Leads": { "main": [ [ { "node": "Filter New Leads", "type": "main", "index": 0 } ] ] }, "Rank and Deduplicate": { "main": [ [ { "node": "Filter Valid Leads", "type": "main", "index": 0 } ] ] }, "Format Search Context": { "main": [ [ { "node": "Basic LLM Chain", "type": "main", "index": 0 } ] ] }, "Extract Review Snippets": { "main": [ [ { "node": "Basic LLM Chain1", "type": "main", "index": 0 } ] ] }, "Parse Category Signals ": { "main": [ [ { "node": "Discovery Search", "type": "main", "index": 0 } ] ] }, "Scrape Business Profile": { "main": [ [ { "node": "Has Website?", "type": "main", "index": 0 } ] ] }, "Generate Category Signals": { "main": [ [ { "node": "Basic LLM Chain2", "type": "main", "index": 0 } ] ] } } }