{ "id": "gOySWYooKXWbepYL", "name": "Turn Social Engagement into Qualified Leads with FanBase MCP, Apify and Sheets", "tags": [], "nodes": [ { "id": "22167bc8-dcba-499e-9665-49cd4bb24b5f", "name": "Every 15 Minutes Trigger", "type": "n8n-nodes-base.scheduleTrigger", "position": [ -816, 640 ], "parameters": { "rule": { "interval": [ { "field": "minutes", "minutesInterval": 15 } ] } }, "typeVersion": 1.3 }, { "id": "79dfccc2-496e-4e42-adb3-d5f3cdfa3561", "name": "Retrieve Watermark Data", "type": "n8n-nodes-base.dataTable", "position": [ -608, 640 ], "parameters": { "filters": { "conditions": [ { "keyName": "key", "keyValue": "funnel_last_ts" } ] }, "matchType": "allConditions", "operation": "get", "returnAll": true, "dataTableId": { "__rl": true, "mode": "list", "value": "REPLACE_WITH_YOUR_DATA_TABLE", "cachedResultName": "time_stamp" } }, "typeVersion": 1.1, "alwaysOutputData": true }, { "id": "1f11c635-dfaa-4d16-b9e0-b4e332705756", "name": "Fetch Direct Messages", "type": "@n8n/n8n-nodes-langchain.mcpClient", "position": [ -432, 640 ], "parameters": { "tool": { "__rl": true, "mode": "id", "value": "query_activity" }, "options": {}, "inputMode": "json", "jsonInput": "={\n \"after\": \"{{ $json.value ? new Date(Number($json.value) * 1000).toISOString() : new Date(Date.now() - 86400000).toISOString() }}\",\n \"limit\": 100,\n \"sortDirection\": \"desc\"\n}", "endpointUrl": "https://api.copilot.fanbase.gg/mcp", "authentication": "mcpOAuth2Api" }, "typeVersion": 1.1 }, { "id": "d0929153-6a0a-443b-981a-9d50db46a1a0", "name": "Identify Intent in DMs", "type": "n8n-nodes-base.code", "position": [ -240, 640 ], "parameters": { "jsCode": "\n// DMs with purchase intent since the last poll. Emits ONE item: { watermark, leads[] }.\n// DMs only \u2014 likes, comments, follows and mentions are ignored.\nconst raw = $input.first().json;\nlet payload = (raw && raw.content && raw.content[0]) ? raw.content[0].text : raw;\nif (typeof payload === 'string') { try { payload = JSON.parse(payload); } catch (e) { payload = null; } }\nconst events = (payload && Array.isArray(payload.events)) ? payload.events : [];\nconst apiTotal = (payload && typeof payload.total === 'number') ? payload.total : events.length;\nconst organization_id = (payload && payload.organizationId) ? String(payload.organizationId) : '';\n\nconst prevTs = Number(($('Retrieve Watermark Data').first().json || {}).value || 0) || 0;\n\nconst DM_TYPES = ['message', 'dm', 'direct_message'];\n\n// word-boundary matcher \u2014 stops \"order\" matching \"border\", \"cost\" matching \"costume\"\nfunction boundary(kw) {\n const esc = String(kw).replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\$&');\n try { return new RegExp('(? {\n const t = new Date((ev.metadata && ev.metadata.timestamp) || ev.createdAt || '').getTime();\n return Number.isFinite(t) ? Math.floor(t / 1000) : 0;\n};\n\nlet newest = prevTs;\nconst leads = [];\nconst seen = new Set();\n\nfor (const ev of events.slice().sort((a, b) => secs(b) - secs(a))) { // newest first\n const ts = secs(ev);\n if (ts > newest) newest = ts;\n if (ts && ts <= prevTs) continue; // already handled\n if (DM_TYPES.indexOf(String(ev.type || '').toLowerCase()) === -1) continue; // DMs only\n\n const text = (ev.metadata && ev.metadata.text) ? String(ev.metadata.text) : '';\n if (!intentRes.some(re => re.test(text))) continue;\n\n const fanId = (ev.fan && ev.fan.id) ? String(ev.fan.id) : '';\n if (!fanId || seen.has(fanId)) continue; // one lead per fan per poll\n seen.add(fanId);\n\n leads.push({\n fan_id: fanId,\n fan_name: (ev.fan && ev.fan.name) || '',\n platform: ev.platform || '',\n intent_text: text.slice(0, 500),\n intent_at: (ev.metadata && ev.metadata.timestamp) || ev.createdAt || '',\n reply_url: replyUrl(ev),\n });\n}\n\nif (!newest) newest = Math.floor(Date.now() / 1000);\nreturn [{ json: { watermark: String(newest), leads, lead_count: leads.length,\n scanned: events.length, api_truncated: apiTotal > events.length } }];\n" }, "typeVersion": 2 }, { "id": "9521dc06-a6e2-48fe-8c5b-1a8dfcf0e989", "name": "Store Watermark Data", "type": "n8n-nodes-base.dataTable", "position": [ 80, 320 ], "parameters": { "columns": { "value": { "key": "funnel_last_ts", "value": "={{ $json.watermark }}" }, "schema": [ { "id": "key", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "key", "defaultMatch": false }, { "id": "value", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "value", "defaultMatch": false } ], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false }, "filters": { "conditions": [ { "keyName": "key", "keyValue": "funnel_last_ts" } ] }, "options": {}, "matchType": "allConditions", "operation": "upsert", "dataTableId": { "__rl": true, "mode": "list", "value": "REPLACE_WITH_YOUR_DATA_TABLE", "cachedResultName": "time_stamp" } }, "typeVersion": 1.1 }, { "id": "b0c8055a-4fa1-41b1-801c-641eb2c0f363", "name": "Process CRM Page 1", "type": "@n8n/n8n-nodes-langchain.mcpClient", "position": [ 32, 576 ], "parameters": { "tool": { "__rl": true, "mode": "id", "value": "list_crm" }, "options": {}, "inputMode": "json", "jsonInput": "{\n \"page\": 1,\n \"limit\": 100,\n \"sortBy\": \"engagement\"\n}", "endpointUrl": "https://api.copilot.fanbase.gg/mcp", "authentication": "mcpOAuth2Api" }, "typeVersion": 1.1 }, { "id": "3fdf04cb-6641-4674-b416-b68f178045ea", "name": "Process CRM Page 2", "type": "@n8n/n8n-nodes-langchain.mcpClient", "position": [ 32, 752 ], "parameters": { "tool": { "__rl": true, "mode": "id", "value": "list_crm" }, "options": {}, "inputMode": "json", "jsonInput": "{\n \"page\": 2,\n \"limit\": 100,\n \"sortBy\": \"engagement\"\n}", "endpointUrl": "https://api.copilot.fanbase.gg/mcp", "authentication": "mcpOAuth2Api" }, "typeVersion": 1.1 }, { "id": "712db4c9-5d6f-4ef9-964e-f446fb502952", "name": "Merge CRM Page Data", "type": "n8n-nodes-base.merge", "position": [ 288, 672 ], "parameters": {}, "typeVersion": 3.2 }, { "id": "409cd450-4c9f-4e52-9eb2-400080a3e389", "name": "Resolve Social Handles", "type": "n8n-nodes-base.code", "position": [ 512, 672 ], "parameters": { "jsCode": "\n// Joins each intent lead to its CRM record to get the handle, then emits ONE ITEM PER LEAD.\n// fan.id (query_activity) == clusterId (list_crm) \u2014 verified against live data.\n// list_crm caps at 100 rows per page and page 1 is all high-engagement twitter fans, so the\n// Instagram fans who actually DM only appear on later pages \u2014 hence the merged page inputs.\nconst leads = ($('Identify Intent in DMs').first().json.leads) || [];\nif (!leads.length) return [];\n\nconst fans = [];\nlet crmTotal = 0;\nfor (const item of $input.all()) {\n let p = (item.json && item.json.content && item.json.content[0]) ? item.json.content[0].text : item.json;\n if (typeof p === 'string') { try { p = JSON.parse(p); } catch (e) { continue; } }\n if (!p) continue;\n if (typeof p.total === 'number') crmTotal = Math.max(crmTotal, p.total);\n for (const f of (p.fans || [])) fans.push(f);\n}\nconst byId = {};\nfor (const f of fans) if (f && f.clusterId) byId[String(f.clusterId)] = f;\n\nfunction profileUrl(platform, u) {\n if (!u) return '';\n const p = String(platform || '').toLowerCase();\n if (p === 'instagram') return 'https://www.instagram.com/' + u;\n if (p === 'twitter' || p === 'x') return 'https://x.com/' + u;\n if (p === 'tiktok') return 'https://www.tiktok.com/@' + u;\n return '';\n}\n\nreturn leads.map(lead => {\n const fan = byId[String(lead.fan_id)] || null;\n const profile = (fan && fan.profile) || {};\n return { json: Object.assign({}, lead, {\n handle: String(profile.username || ''),\n profile_url: profileUrl(lead.platform, profile.username),\n crm_truncated: crmTotal > fans.length,\n }) };\n});\n" }, "typeVersion": 2 }, { "id": "1fd8093c-0f31-4f59-a80f-c024fc266f40", "name": "Assemble CRM Data Row", "type": "n8n-nodes-base.code", "position": [ 1056, 672 ], "parameters": { "jsCode": "// Merges each Apify profile with its lead and produces ONE ROW PER LEAD.\n// The Apify node (\"Run an Actor and get dataset\") emits dataset items FLAT \u2014 there is no MCP\n// content[0].text envelope \u2014 and it emits NOTHING for a run that returns 0 items (bad/renamed\n// handle), so rows are driven off the leads and matched to profiles by username, never by\n// position. pairedItem (set by the Apify node to the input item index) is the fallback.\nconst leads = $('Resolve Social Handles').all().map(i => i.json);\nconst results = $input.all();\n\nfunction unwrap(item) {\n const raw = (item && item.json) || {};\n if (Array.isArray(raw.content)) { // MCP shape, if that node is ever swapped back in\n for (const blk of raw.content) {\n let o = blk && blk.text;\n if (typeof o === 'string') { try { o = JSON.parse(o); } catch (e) { continue; } }\n if (o && Array.isArray(o.items) && o.items.length) return o.items[0];\n if (Array.isArray(o) && o.length && o[0] && o[0].username) return o[0];\n if (o && (o.username || o.biography)) return o;\n }\n return null;\n }\n return (raw.username || raw.biography) ? raw : null; // flat dataset item\n}\n\nconst norm = (u) => String(u || '').trim().replace(/^@/, '').toLowerCase();\nconst slot = (item, i) => {\n const p = item && item.pairedItem;\n if (typeof p === 'number') return p;\n if (p && typeof p === 'object' && typeof p.item === 'number') return p.item;\n if (Array.isArray(p) && p.length && typeof p[0].item === 'number') return p[0].item;\n return i;\n};\n\nconst byHandle = {}, byIndex = {}, errByIndex = {};\nresults.forEach((item, i) => {\n const idx = slot(item, i);\n const profile = unwrap(item);\n if (!profile) {\n const err = item && item.json && item.json.error;\n if (err && errByIndex[idx] === undefined) errByIndex[idx] = String(err.message || err);\n return;\n }\n const key = norm(profile.username);\n if (key && byHandle[key] === undefined) byHandle[key] = profile;\n if (byIndex[idx] === undefined) byIndex[idx] = profile;\n});\n\nconst EMAIL = /[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\\.[A-Za-z]{2,}/;\nfunction emailOf(profile, bio) {\n if (!profile) return '';\n // Instagram only exposes a contact email on some business accounts, so the bio is the main source.\n for (const v of [profile.businessEmail, profile.publicEmail, profile.email]) {\n const m = String(v || '').match(EMAIL);\n if (m) return m[0];\n }\n const inBio = String(bio || '').match(EMAIL);\n if (inBio) return inBio[0];\n for (const l of (Array.isArray(profile.externalUrls) ? profile.externalUrls : [])) {\n const u = String((l && l.url) || '');\n if (/^mailto:/i.test(u)) {\n const m = u.slice(7).match(EMAIL);\n if (m) return m[0];\n }\n }\n return '';\n}\n\nreturn leads.map((lead, i) => {\n const profile = byHandle[norm(lead.handle)] || byIndex[i] || null;\n const bio = profile ? String(profile.biography || '') : '';\n\n let note = '';\n if (!lead.handle) note = 'no handle in CRM' + (lead.crm_truncated ? ' (CRM paging incomplete)' : '');\n else if (!profile) note = errByIndex[i] ? 'scrape failed: ' + errByIndex[i] : 'scrape returned nothing';\n else if (profile.private) note = 'private account';\n\n return { json: {\n captured_at: new Date().toISOString(),\n fan_name: lead.fan_name || (profile ? profile.fullName : '') || '',\n handle: lead.handle || (profile ? String(profile.username || '') : ''),\n profile_url: lead.profile_url || (profile ? String(profile.url || '') : ''),\n platform: lead.platform || '',\n email: emailOf(profile, bio),\n link_in_bio: profile ? String(profile.externalUrl || '') : '',\n followers: profile && typeof profile.followersCount === 'number' ? profile.followersCount : '',\n posts: profile && typeof profile.postsCount === 'number' ? profile.postsCount : '',\n is_business: profile ? !!profile.isBusinessAccount : '',\n bio: bio.replace(/\\s+/g, ' ').slice(0, 300),\n intent_text: lead.intent_text || '',\n intent_at: lead.intent_at || '',\n reply_url: lead.reply_url || '',\n fan_id: lead.fan_id || '',\n status: note ? 'captured (' + note + ')' : 'captured',\n } };\n});\n" }, "typeVersion": 2 }, { "id": "4a815cd6-410a-4a96-9f7c-602e5dc184ab", "name": "Insert to CRM Sheet", "type": "n8n-nodes-base.googleSheets", "position": [ 1392, 672 ], "parameters": { "columns": { "value": { "bio": "={{ $json.bio }}", "email": "={{ $json.email }}", "posts": "={{ $json.posts }}", "fan_id": "={{ $json.fan_id }}", "handle": "={{ $json.handle }}", "status": "={{ $json.status }}", "fan_name": "={{ $json.fan_name }}", "platform": "={{ $json.platform }}", "followers": "={{ $json.followers }}", "intent_at": "={{ $json.intent_at }}", "reply_url": "={{ $json.reply_url }}", "captured_at": "={{ $json.captured_at }}", "intent_text": "={{ $json.intent_text }}", "is_business": "={{ $json.is_business }}", "link_in_bio": "={{ $json.link_in_bio }}", "profile_url": "={{ $json.profile_url }}" }, "schema": [ { "id": "captured_at", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "captured_at", "defaultMatch": false }, { "id": "fan_name", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "fan_name", "defaultMatch": false }, { "id": "handle", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "handle", "defaultMatch": false }, { "id": "profile_url", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "profile_url", "defaultMatch": false }, { "id": "platform", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "platform", "defaultMatch": false }, { "id": "email", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "email", "defaultMatch": false }, { "id": "link_in_bio", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "link_in_bio", "defaultMatch": false }, { "id": "followers", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "followers", "defaultMatch": false }, { "id": "posts", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "posts", "defaultMatch": false }, { "id": "is_business", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "is_business", "defaultMatch": false }, { "id": "bio", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "bio", "defaultMatch": false }, { "id": "intent_text", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "intent_text", "defaultMatch": false }, { "id": "intent_at", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "intent_at", "defaultMatch": false }, { "id": "reply_url", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "reply_url", "defaultMatch": false }, { "id": "fan_id", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "fan_id", "defaultMatch": false }, { "id": "status", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "status", "defaultMatch": false } ], "mappingMode": "defineBelow", "matchingColumns": [ "fan_id" ], "attemptToConvertTypes": false, "convertFieldsToString": true }, "options": {}, "operation": "appendOrUpdate", "sheetName": { "__rl": true, "mode": "name", "value": "Leads" }, "documentId": { "__rl": true, "mode": "url", "value": "https://docs.google.com/spreadsheets/d/REPLACE_WITH_YOUR_SHEET_URL/edit" } }, "typeVersion": 4.5 }, { "id": "e4954212-0900-415a-9d18-0a8bf8c7c214", "name": "Execute Actor for Lead Data", "type": "@apify/n8n-nodes-apify.apify", "onError": "continueRegularOutput", "position": [ 784, 672 ], "parameters": { "actorId": { "__rl": true, "mode": "list", "value": "dSCLg0C3YEZ83HzYX", "cachedResultUrl": "https://console.apify.com/actors/dSCLg0C3YEZ83HzYX/input", "cachedResultName": "Instagram Profile Scraper (apify/instagram-profile-scraper)" }, "operation": "Run actor and get dataset", "customBody": "={\n \"usernames\": [\n \"{{$json.handle}}\"\n ]\n} " }, "typeVersion": 1, "alwaysOutputData": true }, { "id": "34fb08d5-1d02-44c1-969f-b9fac95cb373", "name": "Overview", "type": "n8n-nodes-base.stickyNote", "position": [ -1424, 160 ], "parameters": { "color": 5, "width": 480, "height": 1236, "content": "## GTM Engineering: Turn Social Engagement into Qualified Leads with FanBase MCP, Apify and Sheets\n\n### How it works\n\nEvery 15 minutes this workflow pulls the FanBase DMs received since the last saved watermark and keeps only the ones showing **purchase intent** \u2014 likes, comments, follows and mentions are dropped. A DM only carries a display name, so it looks the fan up in the CRM (`fan.id == clusterId`) to get their @handle, scrapes that public profile with Apify, and appends one enriched, CRM-ready row per lead to a Google Sheet. The watermark is then advanced so the next run only sees new engagement.\n\nEach row carries the DM that triggered it and a deep link straight back into the conversation, next to the enrichment \u2014 so you can reply while the fan is still in the chat.\n\n### Setup steps\n\n- Create a **Data Table** with two string columns, `key` and `value`, and select it on *Retrieve Watermark Data* and *Store Watermark Data*. Nothing to seed \u2014 the first run scans the last 24 h and writes the row itself.\n- Connect the **FanBase MCP** credential (`https://api.copilot.fanbase.gg/mcp`) on the three MCP nodes.\n- Add your **Apify** credential on *Execute Actor for Lead Data*. The actor (`apify/instagram-profile-scraper`) is already selected.\n- Create a Google Sheet with a **`Leads`** tab whose header row is exactly:\n`captured_at, fan_name, handle, profile_url, platform, email, link_in_bio, followers, posts, is_business, bio, intent_text, intent_at, reply_url, fan_id, status`\nthen connect **Google Sheets** and paste the sheet URL into *Insert to CRM Sheet*.\n- Adjust the 15-minute schedule to your DM volume, then run once manually before activating.\n\n### Customization\n\nEdit the keyword lexicon in *Identify Intent in DMs* to match how your audience asks to buy \u2014 or add partnership/collab terms to catch inbound deals too. Swap the Apify actor for another network, add CRM pages 3+ if you have more than 200 fans, and repoint the final node at HubSpot, Airtable or Notion: *Assemble CRM Data Row* emits a flat object, so nothing upstream changes." }, "typeVersion": 1 }, { "id": "d1075926-8f1b-4098-b87e-8482ef310f7f", "name": "Section 1", "type": "n8n-nodes-base.stickyNote", "position": [ -864, 112 ], "parameters": { "width": 784, "height": 426, "content": "## 1 \u00b7 Scheduled DM intake\n\n**Every 15 Minutes Trigger** \u2014 schedule. Nothing here needs to be realtime, and a wider interval keeps the API calls cheap.\n\n**Retrieve Watermark Data** \u2014 reads the `funnel_last_ts` row: the timestamp of the newest DM handled last poll, so no message is ever processed twice. *Always Output Data* is on, so a missing row on the first run can't stall the chain.\n\n**Fetch Direct Messages** \u2014 FanBase MCP `query_activity`, asking only for activity *after* that watermark (last 24 h on the first run).\n\n**Identify Intent in DMs** \u2014 Code. Keeps DMs only, matches a 26-keyword intent lexicon with word boundaries so \"border\" never matches \"order\", takes one lead per fan per poll, and rebuilds a deep link to the conversation from the message id. Emits one item: `{ watermark, leads[] }`." }, "typeVersion": 1 }, { "id": "8e8131b6-1025-47f3-887c-42b43aa9205d", "name": "Section 1b", "type": "n8n-nodes-base.stickyNote", "position": [ 0, 0 ], "parameters": { "width": 524, "height": 286, "content": "## Advance the watermark\n\n**Store Watermark Data** \u2014 upserts the newest DM timestamp so the next poll starts where this one stopped.\n\nIt runs in parallel with the enrichment branch. Move it after *Insert to CRM Sheet* if you would rather re-scan leads whose row failed to write." }, "typeVersion": 1 }, { "id": "191ab72a-ae83-47c4-b593-ed2d6a22484f", "name": "Section 2", "type": "n8n-nodes-base.stickyNote", "position": [ 0, 912 ], "parameters": { "width": 716, "height": 388, "content": "## 2 \u00b7 Turn the fan into a scrapeable handle\n\nA DM event carries only `fan: {id, name}` \u2014 a display name, no @handle. The handle lives in the CRM, keyed by `clusterId`, and `fan.id == clusterId`.\n\n**Process CRM Page 1 / Page 2** \u2014 FanBase MCP `list_crm`. The API caps at 100 rows per page and ignores a larger limit, and page 1 is dominated by your most-engaged fans, so a single page can resolve nobody. Add page 3+ for a larger CRM.\n\n**Merge CRM Page Data** \u2014 appends both pages into one stream. Two edges into one input port would *not* merge \u2014 n8n counts input ports \u2014 so each page gets its own port.\n\n**Resolve Social Handles** \u2014 Code. Indexes fans by `clusterId`, joins each lead to its `profile.username`, and builds the profile URL for that platform (Instagram, X or TikTok). A lead with no CRM match is kept and flagged, not dropped." }, "typeVersion": 1 }, { "id": "ffe6ff6e-6f72-4a16-a00e-2c9407ffca51", "name": "Section 3", "type": "n8n-nodes-base.stickyNote", "position": [ 736, 48 ], "parameters": { "height": 572, "content": "## 3 \u00b7 Scrape lead profiles\n\n**Execute Actor for Lead Data** \u2014 Apify, running `apify/instagram-profile-scraper` with `{\"usernames\": [\"{{ $json.handle }}\"]}`. Runs once per lead, waits, and returns the dataset item flat: `biography`, `followersCount`, `postsCount`, `externalUrl`, `private`\u2026\n\n*On Error \u2192 Continue* so one bad or renamed handle can't kill the poll, and *Always Output Data* so rows are still written when every scrape comes back empty." }, "typeVersion": 1 }, { "id": "1ba488f2-fca2-45b8-89f9-58161d7de097", "name": "Section 4", "type": "n8n-nodes-base.stickyNote", "position": [ 1040, 48 ], "parameters": { "width": 560, "height": 560, "content": "## 4 \u00b7 Build and save rows\n\n**Assemble CRM Data Row** \u2014 Code. One row per lead, matched to its scraped profile **by username, never by position** \u2014 the Apify node emits nothing at all for a profile it could not scrape, so index pairing would put one lead's data on another lead's row. The email is read from `businessEmail`/`publicEmail`, then the bio text, then a `mailto:` bio link \u2014 and left blank rather than invented. Every lead reaches the sheet, with a `status` note when the handle or the scrape is missing.\n\n**Insert to CRM Sheet** \u2014 Google Sheets *append or update* matching on `fan_id`, so a fan who DMs again updates their row instead of duplicating it." }, "typeVersion": 1 } ], "active": false, "settings": { "binaryMode": "separate", "executionOrder": "v1" }, "versionId": "07437fb9-a3b1-4f3c-9b53-64ba230dba09", "nodeGroups": [], "connections": { "Process CRM Page 1": { "main": [ [ { "node": "Merge CRM Page Data", "type": "main", "index": 0 } ] ] }, "Process CRM Page 2": { "main": [ [ { "node": "Merge CRM Page Data", "type": "main", "index": 1 } ] ] }, "Merge CRM Page Data": { "main": [ [ { "node": "Resolve Social Handles", "type": "main", "index": 0 } ] ] }, "Assemble CRM Data Row": { "main": [ [ { "node": "Insert to CRM Sheet", "type": "main", "index": 0 } ] ] }, "Fetch Direct Messages": { "main": [ [ { "node": "Identify Intent in DMs", "type": "main", "index": 0 } ] ] }, "Identify Intent in DMs": { "main": [ [ { "node": "Store Watermark Data", "type": "main", "index": 0 }, { "node": "Process CRM Page 1", "type": "main", "index": 0 }, { "node": "Process CRM Page 2", "type": "main", "index": 0 } ] ] }, "Resolve Social Handles": { "main": [ [ { "node": "Execute Actor for Lead Data", "type": "main", "index": 0 } ] ] }, "Retrieve Watermark Data": { "main": [ [ { "node": "Fetch Direct Messages", "type": "main", "index": 0 } ] ] }, "Every 15 Minutes Trigger": { "main": [ [ { "node": "Retrieve Watermark Data", "type": "main", "index": 0 } ] ] }, "Execute Actor for Lead Data": { "main": [ [ { "node": "Assemble CRM Data Row", "type": "main", "index": 0 } ] ] } } }