{ "id": "QoCDYGBwkvIPpvUO", "name": "M2 Firecrawl - Case 3: Marco -Deliverable", "tags": [], "nodes": [ { "id": "7280c5ef-e1c4-41af-96cf-7269fe7963a4", "name": "AI Agent \u2014 enrichment", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ -7056, 6096 ], "parameters": { "text": "=Enrich this ONE lead.\n\nInput lead JSON:\n{{ JSON.stringify($json) }}\n\nInstructions:\n1) Prefer URLs in enrichment_urls (if present):\n - First: scrape the directory listing URL to confirm business_name, category, address, phone, website, public_rating, review_count, services_listed\n - Second: if it is a business website, scrape it to assess website_issues, tech_signals, freshness_signal\n If enrichment_urls is missing, fall back to source_links then website.\n2) If website exists, verify the site belongs to the business; if not, set website=null and explain in website_issues\n3) Set operating_status from evidence (recent reviews/listing freshness/website activity).\n4) Set opportunity_score:\n - High if strong proof of active business AND (no website OR multiple website issues)\n - Medium if some issues\n - Low if minimal issues / weak evidence\n5) Return ONE raw JSON object with ALL required keys and nulls for unknowns.\n", "options": { "systemMessage": "OPPORTUNITY SCORING \u2014 STRICT GUARDRAILS (override)\n\nGoal: \"High\" should mean Marco can very likely help RIGHT NOW (no website or clear conversion/usability blockers).\nDo NOT give \"High\" just because a site looks old or basic.\n\nDefinitions:\n- Objective blocker = a verifiable, user-impacting issue observed via scraping (not taste).\n- Heuristic issue = subjective impressions like \"dated design\" or \"could be modernized\".\n\nRules:\n1) If website is null/none/unavailable AND you have evidence from a directory listing that no official site is listed:\n - opportunity_score = High\n - website_issues includes: \"No website listed (from )\"\n - why_lead mentions: \"No website\" as primary reason\n\n2) If website exists:\n - You may set opportunity_score = High ONLY if you can confirm AT LEAST TWO objective blockers from this list:\n - Broken / non-working contact path (contact form errors, mailto missing, phone/email not present anywhere obvious)\n - Broken booking/reservation path (dead link, 404, unusable)\n - Not mobile-friendly (missing viewport meta OR obvious mobile layout break described from evidence)\n - No HTTPS (site served over http)\n - Obvious page errors / broken layout / missing critical content (e.g., blank page, server error, endless redirect, site doesn't load)\n - If you cannot confirm 2+ objective blockers, cap score at Medium.\n\n3) Heuristic issues (looks outdated / weak branding / competitors nicer) must go ONLY into heuristic_assessment\n - Heuristics alone can never justify High.\n\n4) If the website has:\n - HTTPS present AND\n - clear working contact info or contact page AND\n - no obvious errors\n Then opportunity_score must be Medium or Low (not High).\n\n5) why_lead must be evidence-based:\n - Include 1\u20132 short factual reasons (from website_issues or directory facts)\n - Optionally add ONE heuristic note, clearly marked as heuristic in heuristic_assessment (not in why_lead)\n\nOutput discipline reminder:\n- website_issues = factual only\n- heuristic_assessment = ONLY lines beginning with \"[HEURISTIC]\"\n\n\nSCRAPE TIMEOUT HANDLING (MANDATORY)\n- If any Firecrawl scrape returns an error like HTTP 408 or code SCRAPE_TIMEOUT: \n - Do NOT retry more than once (prefer to skip immediately).\n - Treat the page as unavailable.\n - Do NOT invent data. Set affected fields to null.\n - Add a factual note in website_issues like: 'Scrape timeout (Firecrawl 408/SCRAPE_TIMEOUT)'.\n" }, "promptType": "define" }, "typeVersion": 1.7, "alwaysOutputData": true }, { "id": "657d701e-72bc-4990-889d-483540e28075", "name": "GPT-5.", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ -7120, 6320 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-5.1", "cachedResultName": "gpt-5.1" }, "options": {}, "responsesApiEnabled": false }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 1.3 }, { "id": "353f329d-7962-4fdf-996c-a01e7dcb8e61", "name": "Enrich Selected 10 \u2014 Parse", "type": "n8n-nodes-base.code", "position": [ -6656, 6096 ], "parameters": { "jsCode": "// Enrich Selected 10 \u2014 Parse (handles N items, recomputes fingerprint)\nconst required = [\n 'business_name','category','address','phone','website',\n 'public_rating','review_count',\n 'website_issues','heuristic_assessment','services_listed','tech_signals',\n 'freshness_signal','operating_status',\n 'opportunity_score','why_lead','source_links'\n];\n\nfunction norm(s) {\n return (s || '').toString().toLowerCase()\n .replace(/\\s+/g, ' ')\n .replace(/[^\\p{L}\\p{N}\\s]/gu, '')\n .trim();\n}\nfunction host(url) {\n try { if (!url) return ''; return new URL(url).hostname.replace(/^www\\./, '').toLowerCase(); }\n catch { return ''; }\n}\nfunction makeFp(j) {\n const name = norm(j.business_name);\n const addr = norm(j.address);\n const phone = norm(j.phone);\n const whost = host(j.website);\n if (name && addr) return `${name}|${addr}`;\n if (name && phone) return `${name}|${phone}`;\n if (name && whost) return `${name}|${whost}`;\n return name ? `${name}|` : null;\n}\n\nconst out = [];\nfor (const item of items) {\n const r = item.json || {};\n let raw = r.output ?? r.text ?? r;\n\n let obj;\n if (typeof raw === 'string') {\n let cleaned = raw.trim().replace(/^```(?:json)?/i, '').replace(/```$/, '').trim();\n try { obj = JSON.parse(cleaned); } catch { continue; }\n } else if (typeof raw === 'object' && raw !== null) {\n obj = raw;\n } else continue;\n\n if (obj.output && typeof obj.output === 'object') obj = obj.output;\n for (const k of required) if (!(k in obj)) obj[k] = null;\n\n// Flatten arrays to strings for TEXT columns\nconst arrToStr = (v, sep = '; ') => Array.isArray(v) ? v.filter(Boolean).join(sep) : v;\nobj.services_listed = arrToStr(obj.services_listed, ', ');\nobj.tech_signals = arrToStr(obj.tech_signals, ', ');\nobj.website_issues = arrToStr(obj.website_issues, '; ');\nobj.source_links = arrToStr(obj.source_links, ' | ');\nobj.public_rating = obj.public_rating != null ? String(obj.public_rating) : null;\nobj.review_count = obj.review_count != null ? String(obj.review_count) : null;\n\n\n // Recompute fingerprint from enriched data (agent drops it)\n obj.fingerprint = makeFp(obj);\n\n out.push({ json: obj });\n}\n\nif (out.length === 0) {\n throw new Error('Parse produced 0 items. First input shape: ' + JSON.stringify(items[0]?.json).slice(0, 400));\n}\nreturn out;\n" }, "typeVersion": 2 }, { "id": "4fc41924-6acc-4524-9a64-c4f7bbc6cb6e", "name": "Enrich Selected 10 \u2014 Scrape Website", "type": "@mendable/n8n-nodes-firecrawl.firecrawlTool", "position": [ -6896, 6400 ], "parameters": { "url": "={{ (() => { const u = (($fromAI('url') || '')+'').trim(); if (/^https?:\\/\\//i.test(u)) return u; if (/^www\\./i.test(u) || /^[a-z0-9-]+(\\.[a-z0-9-]+)+/i.test(u)) return 'https://' + u; return ''; })() }}", "operation": "scrape", "scrapeOptions": { "options": { "formats": { "format": [ {}, { "type": "links" } ] }, "headers": {} } }, "requestOptions": {}, "descriptionType": "manual", "toolDescription": "Scrape a specific URL and return its content as markdown. \nUse this to scrape business directory listings and business websites \nto extract contact details and evaluate website quality." }, "credentials": { "firecrawlApi": { "name": "" } }, "typeVersion": 1, "continueOnFail": true }, { "id": "4df6e379-dfe5-492a-b179-67ff58121fbb", "name": "Enrich Selected 10 \u2014 Scrape Listing", "type": "@mendable/n8n-nodes-firecrawl.firecrawlTool", "position": [ -6768, 6304 ], "parameters": { "url": "={{ (() => { const u = (($fromAI('url') || '')+'').trim(); if (/^https?:\\/\\//i.test(u)) return u; if (/^www\\./i.test(u) || /^[a-z0-9-]+(\\.[a-z0-9-]+)+/i.test(u)) return 'https://' + u; return ''; })() }}", "operation": "scrape", "scrapeOptions": { "options": { "formats": { "format": [ {}, { "type": "links" } ] }, "headers": {} } }, "requestOptions": {}, "descriptionType": "manual", "toolDescription": "Scrape a specific URL and return its content as markdown. \nUse this to scrape business directory listings and business websites \nto extract contact details and evaluate website quality." }, "credentials": { "firecrawlApi": { "name": "" } }, "typeVersion": 1, "continueOnFail": true }, { "id": "d497407b-4207-400e-8178-4334e27ad762", "name": "Enrich Selected 10 \u2014 Prep", "type": "n8n-nodes-base.code", "position": [ -7344, 6096 ], "parameters": { "jsCode": "// Enrich Selected 10 \u2014 Prep (no-LangChain edition)\nfunction norm(s){return (s??'').toString().trim();}\nreturn items.map(item=>{\n const j=item.json;\n const business_name=norm(j.business_name||j.name);\n const website=norm(j.website);\n const source_links=j.source_links ?? j.source_link ?? j.listing_url ?? j.url ?? null;\n const urls=[];\n if (Array.isArray(source_links)) urls.push(...source_links.filter(Boolean));\n else if (typeof source_links==='string' && source_links) urls.push(source_links);\n if (website) urls.push(website);\n return {json:{...j, business_name, website: website||null, source_links: source_links??null, enrichment_urls: urls}};\n});\n" }, "typeVersion": 2 }, { "id": "ac53a2e7-99ea-4909-b609-33ae3e9ce24f", "name": "Compute Fingerprint", "type": "n8n-nodes-base.code", "position": [ -8016, 6096 ], "parameters": { "jsCode": "function norm(s) {\n return (s || '')\n .toString()\n .toLowerCase()\n .replace(/\\s+/g, ' ')\n .replace(/[^\\p{L}\\p{N}\\s]/gu, '')\n .trim();\n}\n\nfunction host(url) {\n try {\n if (!url) return '';\n const u = new URL(url);\n return u.hostname.replace(/^www\\./, '').toLowerCase();\n } catch {\n return '';\n }\n}\n\nreturn $input.all().map(item => {\n const j = item.json;\n const name = norm(j.business_name);\n const addr = norm(j.address);\n const phone = norm(j.phone);\n const whost = host(j.website);\n\n const fp =\n (name && addr) ? `${name}|${addr}` :\n (name && phone) ? `${name}|${phone}` :\n (name && whost) ? `${name}|${whost}` :\n name ? `${name}|` : null;\n\n return { json: { ...j, fingerprint: fp } };\n});\n" }, "typeVersion": 2 }, { "id": "6bc09b20-26fb-469f-9770-ddb48f6a8cdb", "name": "Parse Refill Output", "type": "n8n-nodes-base.code", "position": [ -8240, 6096 ], "parameters": { "jsCode": "const agentOutput = $input.first().json.output;\n\nlet leads = [];\ntry {\n const jsonMatch = agentOutput.match(/\\[\\s*\\{[\\s\\S]*\\}\\s*\\]/);\n if (jsonMatch) {\n leads = JSON.parse(jsonMatch[0]);\n } else {\n leads = JSON.parse(agentOutput);\n }\n} catch (e) {\n return [{ json: { error: 'Failed to parse agent output', raw: agentOutput } }];\n}\n\nconst weekOf = new Date().toISOString().split('T')[0];\n\nreturn leads.map(lead => ({\n json: {\n business_name: lead.business_name || null,\n category: lead.category || null,\n address: lead.address || null,\n phone: lead.phone || null,\n website: lead.website || null,\n public_rating: lead.public_rating != null ? String(lead.public_rating) : null,\n review_count: lead.review_count != null ? String(lead.review_count) : null,\n website_issues: Array.isArray(lead.website_issues) \n ? lead.website_issues.join('; ') \n : (lead.website_issues || null),\n heuristic_assessment: lead.heuristic_assessment || null,\n services_listed: Array.isArray(lead.services_listed) \n ? lead.services_listed.join(', ') \n : (lead.services_listed || null),\n tech_signals: Array.isArray(lead.tech_signals) \n ? lead.tech_signals.join(', ') \n : (lead.tech_signals || null),\n freshness_signal: lead.freshness_signal || null,\n opportunity_score: lead.opportunity_score || null,\n why_lead: lead.why_lead || null,\n // handle both source_link and source_links\n source_links: lead.source_links || lead.source_link || null,\n week_of: weekOf,\n discovered_at: new Date().toISOString()\n }\n}));\n" }, "typeVersion": 2 }, { "id": "28f0aef9-86c1-45f4-9e9c-a6ed11a75bac", "name": "AI Agent \u2014 Discover Fresh", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ -8656, 6096 ], "parameters": { "text": "==You are Marco's Lead Scout. Discover 20 fresh local Berlin business leads.\n\n{{ $json.rotation_hint }}\n\nSelection priority (important):\n- Prefer directory listings with NO official website listed (target at least 12/20 with website=null for this reason).\n- Only include leads with a website if the listing suggests weak web presence (social-only, suspicious/unofficial link, or obvious objective red flag).\n- Avoid clearly modern/professional websites unless you have a concrete red flag from the directory listing.\n\nRules:\n- Use /search in Firecrawl across the rotation categories and neighbourhoods (mix them).\n- Use /scrape in Firecrawl only on real https:// URLs from search results (prefer scraping the directory listing page at discovery stage).\n- Exclude chains, franchises, web/marketing/SEO agencies.\n- Output ONLY a raw JSON array of EXACTLY 20 objects. No markdown, no code fences.\n- Each object must include: business_name, category, address, phone, website, source_links.\n- Use null for unknown fields. Never omit a key.\n", "options": { "systemMessage": "You are Marco's Lead Scout. Discover 20 Berlin business leads using Firecrawl tools.\nRotate across the categories and neighbourhoods given in the user message.\nExclude chains, franchises, web/marketing/SEO agencies.\n\nPRIMARY GOAL\nFind local businesses that are likely good prospects for a freelance web designer because they have:\n- no official website listed, OR\n- weak/limited web presence, OR\n- obvious, evidence-backed website problems (only if you can confirm cheaply and reliably)\n\nTOOL DISCIPLINE\n- Use /search in Firecrawl to find business directory listing URLs (prefer yelp.de, gelbeseiten.de, dasoertliche.de or similarly public directories).\n- Use /scrape in Firecrawl ONLY on real https:// URLs from search results.\n- Never pass a search query directly to /scrape in Firecrawl.\n- Do not scrape aggressively. Keep it cheap:\n - Prefer scraping the directory listing page (not the business website) at this discovery stage.\n\nLEAD SELECTION \u2014 QUALITY FIRST (IMPORTANT)\n- Prefer leads where the DIRECTORY LISTING shows NO official website.\n - Target: at least 12 of the 20 leads should have website = null because no website is listed on the directory page.\n- For the remaining leads (up to 8) where a website exists, include ONLY if the listing suggests weak web presence, for example:\n - only social links (facebook/instagram) instead of a real website, OR\n - the website link looks suspicious/unofficial (e.g., strange domain unrelated to the business name), OR\n - the listing/preview makes an obvious objective issue likely (e.g., dead link) WITHOUT requiring heavy website scraping.\n- Avoid leads with clearly modern, professional websites at this stage unless you also have a concrete red flag from the directory listing.\n\nDATA SAFETY / EVIDENCE\n- Use only public business information from directories and public pages.\n- Do not guess. If a field is not present on the listing, set it to null.\n\nOUTPUT (STRICT)\n- Return ONLY a raw JSON array of EXACTLY 20 objects. No markdown, no code fences, no prose.\n- Each object must include EXACTLY these keys:\n business_name, category, address, phone, website, source_links\n- Use null for unknown fields. Never omit a key.\n- source_links must be the directory listing URL you used as evidence (https://).\n\n" }, "promptType": "define" }, "typeVersion": 1.7, "alwaysOutputData": true }, { "id": "c8161953-a8fa-4396-b433-35189ee04b18", "name": "/search in Firecrawl", "type": "@mendable/n8n-nodes-firecrawl.firecrawlTool", "position": [ -8496, 6304 ], "parameters": { "query": "={{ $fromAI('query', 'Search query to find local businesses in Berlin') }}", "resource": "MapSearch", "operation": "search", "requestOptions": {}, "descriptionType": "manual", "toolDescription": "Search the web for local businesses in Berlin using a search query. \nReturns a list of URLs matching the query. Use this to discover \nbusinesses in directories like yelp.de and gelbeseiten.de." }, "credentials": { "firecrawlApi": { "name": "" } }, "typeVersion": 1 }, { "id": "1628a072-e338-4cd0-9ac5-8e25690778c6", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ -6480, 5744 ], "parameters": { "color": "#C4BC00", "height": 336, "content": "CREATE TABLE IF NOT EXISTS marco_leads (\n id BIGSERIAL PRIMARY KEY,\n\n -- dedup / upsert key (recommended unique)\n fingerprint TEXT UNIQUE,\n\n business_name TEXT NOT NULL,\n category TEXT,\n address TEXT,\n phone TEXT,\n website TEXT,\n\n public_rating TEXT,\n review_count TEXT,\n\n website_issues TEXT,\n heuristic_assessment TEXT,\n services_listed TEXT,\n tech_signals TEXT,\n freshness_signal TEXT,\n\n operating_status TEXT,\n opportunity_score TEXT,\n why_lead TEXT,\n\n source_links TEXT,\n\n week_of DATE,\n discovered_at TIMESTAMPTZ\n);\n" }, "typeVersion": 1 }, { "id": "f0348991-bc94-4607-96eb-f726abee611e", "name": "GPT-5.1", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ -8704, 6320 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-5.1", "cachedResultName": "gpt-5.1" }, "options": {}, "responsesApiEnabled": false }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 1.3 }, { "id": "bcb40969-a8e9-4490-8e64-9c44afae58a1", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -9216, 6288 ], "parameters": { "color": 5, "width": 360, "height": 556, "content": "## Case 3: Marco - Local Lead Enrichment\n\n**Difficulty:** Advanced\n\n**Trigger:** Weekly schedule (Mondays at 9:00 AM)\n\n**Marco's criteria:**\n- Business types: Dentists, Hair salons, Fitness studios, Restaurants\n- Location: Berlin, Germany (24km radius)\n- Signals: No website, not mobile-friendly, outdated design, strong reviews but weak site\n- Exclude: Chains/franchises, businesses with a web agency\n- Target: 10 leads per week\n\n**Your task:**\n1. Use the AI Agent to discover local businesses\n2. Use Firecrawl to scrape directories and business websites\n3. Evaluate website quality\n4. Score and rank leads\n5. Write results to a database or sheet" }, "typeVersion": 1 }, { "id": "fef8b690-cec2-4828-9069-915dbba8217e", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -8768, 6544 ], "parameters": { "color": 3, "width": 420, "height": 260, "content": "## Build your agent here\n\nConnect the AI Agent after the Schedule Trigger.\n\nThe agent should:\n- Search directories for businesses in the target area\n- Scrape each business website for quality signals\n- Score leads by opportunity (High/Medium/Low)\n- Distinguish objective checks from heuristic judgments\n- Deduplicate against previous runs\n- Handle businesses with no website explicitly\n\nAdd Firecrawl as a tool to the AI Agent node." }, "typeVersion": 1 }, { "id": "cbcee736-c311-4df3-87f0-71c26a6c20f5", "name": "/scrape in Firecrawl", "type": "@mendable/n8n-nodes-firecrawl.firecrawlTool", "position": [ -8240, 6304 ], "parameters": { "url": "={{ $fromAI('url', 'The full https:// URL to scrape') }}\n", "operation": "scrape", "scrapeOptions": { "options": { "formats": { "format": [ {}, { "type": "links" } ] }, "headers": {} } }, "requestOptions": {}, "descriptionType": "manual", "toolDescription": "Scrape a specific URL and return its content as markdown. \nUse this to scrape business directory listings and business websites \nto extract contact details and evaluate website quality." }, "credentials": { "firecrawlApi": { "name": "" } }, "typeVersion": 1 }, { "id": "a07abfb8-1e86-4d04-ad50-2acca61fff93", "name": "Sticky Note \u2014 Overview", "type": "n8n-nodes-base.stickyNote", "position": [ -9296, 5680 ], "parameters": { "color": "#942192", "width": 340, "height": 328, "content": "## \u26a0\ufe0f Before running:\n1. Create the `marco_leads` table in database of your choosing (mine us Supabase) using the provided SQL\n2. Set your Gmail address in the Gmail node\n3. Connect your Postgres (Supabase) credentials\n4. Connect your OpenAI + Firecrawl credentials\n5. Activate this workflow to automatically run on schedule" }, "typeVersion": 1 }, { "id": "8c063430-b445-4d34-baca-720fa444db3a", "name": "Gmail \u2014 Send Weekly Summary", "type": "n8n-nodes-base.gmail", "position": [ -5760, 6096 ], "parameters": { "sendTo": "Marco@EXAMPLE.com", "message": "={{ $json.html }}", "options": {}, "subject": "={{ $json.subject }}" }, "credentials": { "gmailOAuth2": { "name": "" } }, "typeVersion": 2.1 }, { "id": "c78d2c77-baa5-4d90-8ef4-1a551e0a41ed", "name": "Build Email HTML", "type": "n8n-nodes-base.code", "position": [ -5984, 6096 ], "parameters": { "jsCode": "// Build a clean HTML email summarising the week's new leads\nconst raw = $input.all();\nlet leads = [];\nif (raw.length === 1 && raw[0].json && Array.isArray(raw[0].json.data)) {\n leads = raw[0].json.data;\n} else {\n leads = raw.map(i => i.json);\n}\n\nconst weekOf = new Date().toLocaleDateString('en-GB', { day: 'numeric', month: 'long', year: 'numeric' });\n\n// Emojis\nconst scoreEmoji = (s) => s === 'High' ? '\ud83d\ude80' : s === 'Medium' ? '\u2705' : '\ud83d\udfe1';\n\nconst safe = (v, f = '\u2014') => (v === null || v === undefined || v === '') ? f : v;\n\n// --- NEW: sort leads by opportunity_score (High -> Medium -> Low -> everything else) ---\nconst scoreRank = (s) => {\n const v = (s ?? '').toString().trim().toLowerCase();\n if (v === 'high') return 0;\n if (v === 'medium') return 1;\n if (v === 'low') return 2;\n return 3; // unknown / null / anything else goes last\n};\n\n// Stable-ish ordering: keep original order inside each group via original index\nleads = leads\n .map((lead, idx) => ({ lead, idx }))\n .sort((a, b) => {\n const ra = scoreRank(a.lead.opportunity_score);\n const rb = scoreRank(b.lead.opportunity_score);\n if (ra !== rb) return ra - rb;\n return a.idx - b.idx;\n })\n .map(x => x.lead);\n\n// Cell styles\nconst tdWrap = \"padding:12px;color:#555;vertical-align:top;white-space:normal;overflow-wrap:anywhere;word-break:break-word;\";\nconst tdWrapStrong = \"padding:12px;font-weight:600;color:#111;vertical-align:top;white-space:normal;overflow-wrap:anywhere;word-break:break-word;\";\nconst tdScore = \"padding:12px;text-align:center;vertical-align:top;white-space:nowrap;\";\n\nconst row = (lead, i) => `\n \n ${safe(lead.business_name)}\n \n ${\n lead.website\n ? `Website`\n : 'No website'\n }\n \n ${scoreEmoji(lead.opportunity_score)} ${safe(lead.opportunity_score, '\u2014')}\n ${safe(lead.why_lead, '')}\n `;\n\nconst html = `\n\n\n\n\n
\n
\n

\ud83c\udfd7\ufe0f Marco's Lead Scout

\n

Week of ${weekOf} \u2014 ${leads.length} new lead${leads.length !== 1 ? 's' : ''} found

\n
\n
\n \n \n \n \n \n \n \n \n \n \n ${leads.map((lead, i) => row(lead, i)).join('')}\n \n
BusinessWebsiteScoreWhy Contact
\n

Made with love by your n8n workflow.

\n
\n
\n\n`;\n\nreturn [{ json: { subject: `\ud83c\udfd7\ufe0f Marco's Lead Scout \u2014 Week of ${weekOf} (${leads.length} new leads)`, html } }];\n" }, "typeVersion": 2 }, { "id": "8ca13f95-c786-4e93-bb48-7d383653bf04", "name": "Aggregate New Leads", "type": "n8n-nodes-base.aggregate", "position": [ -6208, 6096 ], "parameters": { "options": {}, "aggregate": "aggregateAllItemData" }, "typeVersion": 1 }, { "id": "cbf97672-8a2c-4c1b-97e6-a5ec5655949c", "name": "Postgres \u2014 Insert Lead", "type": "n8n-nodes-base.postgres", "position": [ -6432, 6096 ], "parameters": { "table": { "__rl": true, "mode": "list", "value": "marco_leads", "cachedResultName": "marco_leads" }, "schema": { "__rl": true, "mode": "list", "value": "public" }, "columns": { "value": { "phone": "={{ $json.phone }}", "address": "={{ $json.address }}", "website": "={{ $json.website }}", "week_of": "={{ $now.format('YYYY-MM-DD') }}", "category": "={{ $json.category }}", "why_lead": "={{ $json.why_lead ?? null }}", "fingerprint": "={{ $json.fingerprint ?? null }}", "review_count": "={{ $json.review_count ?? null }}", "source_links": "={{ $json.source_links }}", "tech_signals": "={{ $json.tech_signals ?? null }}", "business_name": "={{ $json.business_name }}", "discovered_at": "={{ $now.toISO() }}", "public_rating": "={{ $json.public_rating ?? null }}", "website_issues": "={{ $json.website_issues ?? null }}", "services_listed": "={{ $json.services_listed ?? null }}", "freshness_signal": "={{ $json.freshness_signal ?? null }}", "operating_status": "={{ $json.operating_status ?? null }}", "opportunity_score": "={{ $json.opportunity_score ?? null }}", "heuristic_assessment": "={{ $json.heuristic_assessment ?? null }}" }, "schema": [ { "id": "fingerprint", "type": "string", "display": true, "removed": false, "required": false, "displayName": "fingerprint", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "business_name", "type": "string", "display": true, "required": true, "displayName": "business_name", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "category", "type": "string", "display": true, "required": false, "displayName": "category", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "address", "type": "string", "display": true, "required": false, "displayName": "address", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "phone", "type": "string", "display": true, "required": false, "displayName": "phone", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "website", "type": "string", "display": true, "required": false, "displayName": "website", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "public_rating", "type": "string", "display": true, "required": false, "displayName": "public_rating", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "review_count", "type": "string", "display": true, "required": false, "displayName": "review_count", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "website_issues", "type": "string", "display": true, "required": false, "displayName": "website_issues", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "heuristic_assessment", "type": "string", "display": true, "required": false, "displayName": "heuristic_assessment", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "services_listed", "type": "string", "display": true, "required": false, "displayName": "services_listed", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "tech_signals", "type": "string", "display": true, "required": false, "displayName": "tech_signals", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "freshness_signal", "type": "string", "display": true, "required": false, "displayName": "freshness_signal", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "operating_status", "type": "string", "display": true, "removed": false, "required": false, "displayName": "operating_status", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "opportunity_score", "type": "string", "display": true, "required": false, "displayName": "opportunity_score", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "why_lead", "type": "string", "display": true, "required": false, "displayName": "why_lead", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "source_links", "type": "string", "display": true, "required": false, "displayName": "source_links", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "week_of", "type": "dateTime", "display": true, "required": false, "displayName": "week_of", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "discovered_at", "type": "dateTime", "display": true, "required": false, "displayName": "discovered_at", "defaultMatch": false, "canBeUsedToMatch": true } ], "mappingMode": "defineBelow", "matchingColumns": [ "fingerprint" ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {} }, "credentials": { "postgres": { "name": "" } }, "typeVersion": 2.5, "continueOnFail": true }, { "id": "9b5118e4-35af-4be1-8c4e-f9c676439eb4", "name": "Schedule Trigger", "type": "n8n-nodes-base.scheduleTrigger", "position": [ -9152, 6096 ], "parameters": { "rule": { "interval": [ { "field": "cronExpression", "expression": "0 9 * * 1" } ] } }, "typeVersion": 1.2 }, { "id": "7e3a79ac-d6c0-4c46-b0b8-607bc87e89ec", "name": "Rotation Seed", "type": "n8n-nodes-base.code", "position": [ -8928, 6096 ], "parameters": { "jsCode": "// Rotation seed for category/area diversity\n// Picks a different rotation each week, deterministic by ISO week number\nconst now = new Date();\nconst start = new Date(now.getFullYear(), 0, 1);\nconst week = Math.ceil(((now - start) / 86400000 + start.getDay() + 1) / 7);\n\nconst categories = [\n ['Friseur', 'Restaurant', 'Fitnessstudio'],\n ['Fitnessstudio', 'Zahnarzt', 'Friseur'],\n ['Restaurant', 'Friseur', 'Zahnarzt'],\n ['Zahnarzt', 'Restaurant', 'Fitnessstudio']\n];\nconst areas = [\n ['Mitte', 'Neuk\u00f6lln', 'Kreuzberg'],\n ['Charlottenburg', 'Wilmersdorf', 'Sch\u00f6neberg'],\n ['Prenzlauer Berg', 'Friedrichshain', 'Pankow'],\n ['Spandau', 'Tempelhof', 'Steglitz']\n];\n\nconst cat = categories[week % categories.length];\nconst area = areas[week % areas.length];\n\nreturn [{\n json: {\n week_number: week,\n rotation_categories: cat,\n rotation_areas: area,\n rotation_hint: `This week focus on: categories=${cat.join(', ')}; neighbourhoods=${area.join(', ')}`\n }\n}];\n" }, "typeVersion": 2 }, { "id": "8b8d5b6d-752c-43f8-b9b3-d560980f3f97", "name": "Fetch Seen Fingerprints", "type": "n8n-nodes-base.postgres", "position": [ -7792, 6096 ], "parameters": { "query": "SELECT fingerprint FROM marco_leads WHERE fingerprint IS NOT NULL;", "options": {}, "operation": "executeQuery" }, "credentials": { "postgres": { "name": "" } }, "typeVersion": 2.5, "alwaysOutputData": true }, { "id": "dcff5174-4c8e-4c21-83e0-1a1e592133fe", "name": "Filter Unseen (Top 10)", "type": "n8n-nodes-base.code", "position": [ -7568, 6096 ], "parameters": { "jsCode": "// Candidates come from Compute Fingerprint (one node back in the chain)\nconst candidates = $('Compute Fingerprint').all();\nconst seenItems = $('Fetch Seen Fingerprints').all();\n\nconst seen = new Set(\n seenItems.map(i => (i.json.fingerprint || '').trim()).filter(Boolean)\n);\n\nconst unseen = candidates.filter(c => {\n const fp = (c.json.fingerprint || '').trim();\n return fp && !seen.has(fp);\n});\n\nreturn unseen.slice(0, 10);\n\n// Return top 10\nreturn unseen.slice(0, 10);\n" }, "typeVersion": 2, "alwaysOutputData": true } ], "active": false, "settings": { "binaryMode": "separate", "executionOrder": "v1" }, "versionId": "96561b35-4ad2-4841-991e-6af3b4a49e61", "connections": { "GPT-5.": { "ai_languageModel": [ [ { "node": "AI Agent \u2014 enrichment", "type": "ai_languageModel", "index": 0 } ] ] }, "GPT-5.1": { "ai_languageModel": [ [ { "node": "AI Agent \u2014 Discover Fresh", "type": "ai_languageModel", "index": 0 } ] ] }, "Rotation Seed": { "main": [ [ { "node": "AI Agent \u2014 Discover Fresh", "type": "main", "index": 0 } ] ] }, "Build Email HTML": { "main": [ [ { "node": "Gmail \u2014 Send Weekly Summary", "type": "main", "index": 0 } ] ] }, "Schedule Trigger": { "main": [ [ { "node": "Rotation Seed", "type": "main", "index": 0 } ] ] }, "Aggregate New Leads": { "main": [ [ { "node": "Build Email HTML", "type": "main", "index": 0 } ] ] }, "Compute Fingerprint": { "main": [ [ { "node": "Fetch Seen Fingerprints", "type": "main", "index": 0 } ] ] }, "Parse Refill Output": { "main": [ [ { "node": "Compute Fingerprint", "type": "main", "index": 0 } ] ] }, "/scrape in Firecrawl": { "ai_tool": [ [ { "node": "AI Agent \u2014 Discover Fresh", "type": "ai_tool", "index": 0 } ] ] }, "/search in Firecrawl": { "ai_tool": [ [ { "node": "AI Agent \u2014 Discover Fresh", "type": "ai_tool", "index": 0 } ] ] }, "Filter Unseen (Top 10)": { "main": [ [ { "node": "Enrich Selected 10 \u2014 Prep", "type": "main", "index": 0 } ] ] }, "AI Agent \u2014 enrichment": { "main": [ [ { "node": "Enrich Selected 10 \u2014 Parse", "type": "main", "index": 0 } ] ] }, "Fetch Seen Fingerprints": { "main": [ [ { "node": "Filter Unseen (Top 10)", "type": "main", "index": 0 } ] ] }, "Postgres \u2014 Insert Lead": { "main": [ [ { "node": "Aggregate New Leads", "type": "main", "index": 0 } ] ] }, "AI Agent \u2014 Discover Fresh": { "main": [ [ { "node": "Parse Refill Output", "type": "main", "index": 0 } ] ] }, "Enrich Selected 10 \u2014 Prep": { "main": [ [ { "node": "AI Agent \u2014 enrichment", "type": "main", "index": 0 } ] ] }, "Enrich Selected 10 \u2014 Parse": { "main": [ [ { "node": "Postgres \u2014 Insert Lead", "type": "main", "index": 0 } ] ] }, "Enrich Selected 10 \u2014 Scrape Listing": { "ai_tool": [ [ { "node": "AI Agent \u2014 enrichment", "type": "ai_tool", "index": 0 } ] ] }, "Enrich Selected 10 \u2014 Scrape Website": { "ai_tool": [ [ { "node": "AI Agent \u2014 enrichment", "type": "ai_tool", "index": 0 } ] ] } } }