This workflow follows the Agent → OpenAI Chat recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"name": "Outscraper - AI-powered lead generation pipeline",
"nodes": [
{
"parameters": {},
"id": "ff791f2a-b102-467b-9eaf-3b5db012e5e7",
"name": "Manual Trigger",
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
-112,
208
]
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "industry",
"name": "industry",
"type": "string",
"value": "dentists"
},
{
"id": "location",
"name": "location",
"type": "string",
"value": "Austin, TX"
},
{
"id": "lead_limit",
"name": "lead_limit",
"type": "number",
"value": 20
}
]
},
"options": {}
},
"id": "9c060b1e-bf10-42e6-99ac-c22adc115e8f",
"name": "Set Search Criteria",
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
112,
208
],
"notesInFlow": true,
"notes": "Change industry, location, and lead_limit before running."
},
{
"parameters": {
"query": "={{$json.industry + ' in ' + $json.location}}",
"limit": "={{$json.lead_limit}}",
"requestOptions": {}
},
"id": "2f4f5648-bab0-4fb7-9bd2-611b6cd2a80e",
"name": "Outscraper - Google Maps Search",
"type": "n8n-nodes-outscraper.outscraper",
"typeVersion": 2,
"position": [
352,
208
],
"credentials": {
"outscraperApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsCode": "function isBusinessRecord(value) {\n return Boolean(\n value &&\n typeof value === 'object' &&\n !Array.isArray(value) &&\n (value.name || value.title || value.business_name || value.place_id || value.google_id || value.location_link)\n );\n}\n\nfunction collectBusinessRecords(value, output = []) {\n if (!value) return output;\n\n if (Array.isArray(value)) {\n for (const item of value) {\n collectBusinessRecords(item, output);\n }\n return output;\n }\n\n if (isBusinessRecord(value)) {\n output.push(value);\n return output;\n }\n\n if (typeof value === 'object') {\n for (const key of ['data', 'results', 'items', 'businesses']) {\n if (key in value) {\n collectBusinessRecords(value[key], output);\n }\n }\n }\n\n return output;\n}\n\nfunction cleanWebsite(value) {\n if (!value || typeof value !== 'string') return '';\n\n try {\n return decodeURIComponent(value);\n } catch {\n return value;\n }\n}\n\nconst leads = $input.all().flatMap((item) => collectBusinessRecords(item.json));\n\nreturn leads\n .map((lead) => {\n const website = cleanWebsite(lead.site || lead.website || lead.url || lead.domain || '');\n return {\n json: {\n name: lead.name || lead.title || lead.business_name || '',\n website,\n domain_or_url: website,\n phone: lead.phone || lead.phone_number || '',\n address: lead.full_address || lead.address || '',\n rating: lead.rating || '',\n reviews: lead.reviews || lead.reviews_count || '',\n category: lead.category || lead.type || lead.subtypes || '',\n google_maps_url: lead.location_link || '',\n source: 'google_maps',\n raw: lead,\n },\n };\n })\n .filter((item) => item.json.name || item.json.website);"
},
"id": "fd399ca1-4067-470a-9623-cc8ccce16c85",
"name": "Normalize Lead Candidates",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
592,
208
]
},
{
"parameters": {
"resource": "emailsAndContacts",
"query": "={{$json.domain_or_url}}",
"additionalFields": {},
"requestOptions": {}
},
"id": "234101e2-89b7-4365-ad8c-9aa0cf9486d8",
"name": "Outscraper - Emails & Contacts",
"type": "n8n-nodes-outscraper.outscraper",
"typeVersion": 2,
"position": [
832,
208
],
"notesInFlow": true,
"credentials": {
"outscraperApi": {
"name": "<your credential>"
}
},
"notes": "Uses the website/domain from each Google Maps lead."
},
{
"parameters": {
"jsCode": "function findEmail(value) {\n if (!value) return '';\n if (typeof value === 'string' && value.includes('@')) return value;\n if (Array.isArray(value)) {\n for (const item of value) {\n const email = findEmail(item);\n if (email) return email;\n }\n }\n if (typeof value === 'object') {\n for (const nested of Object.values(value)) {\n const email = findEmail(nested);\n if (email) return email;\n }\n }\n return '';\n}\n\nreturn $input.all().map((item) => {\n const email = findEmail(item.json);\n return {\n json: {\n ...item.json,\n email,\n },\n };\n}).filter((item) => item.json.email);"
},
"id": "42fa10d2-1960-47bc-b096-99d5a3d136b7",
"name": "Pick Best Email",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1072,
208
]
},
{
"parameters": {
"resource": "emailValidator",
"query": "={{$json.email}}",
"additionalFields": {},
"requestOptions": {}
},
"id": "6197f137-9d60-477f-8eac-f21f31f505ab",
"name": "Outscraper - Email Validator",
"type": "n8n-nodes-outscraper.outscraper",
"typeVersion": 2,
"position": [
1312,
208
],
"notesInFlow": true,
"credentials": {
"outscraperApi": {
"name": "<your credential>"
}
},
"notes": "Uses the Email Validator resource from this Outscraper node package."
},
{
"parameters": {
"jsCode": "return $input.all().map((item) => {\n const status = item.json.status || item.json.result || item.json.valid || '';\n return {\n json: {\n ...item.json,\n email_validation_status: status,\n crm_payload: {\n company: item.json.name,\n website: item.json.website,\n email: item.json.email,\n phone: item.json.phone,\n address: item.json.address,\n rating: item.json.rating,\n source: 'Outscraper Google Maps + Emails & Contacts',\n },\n },\n };\n});"
},
"id": "211f197d-db9c-40dc-80df-41a12ced6962",
"name": "Build CRM Payload",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1552,
208
]
},
{
"parameters": {
"promptType": "define",
"text": "=Score this B2B lead from Outscraper data. Use the connected structured output parser and return only the requested JSON shape. Include the lead identity fields so the CRM node can store the scored result. Input JSON: {{ JSON.stringify($json) }}",
"hasOutputParser": true,
"options": {
"enableStreaming": false
}
},
"id": "24f43c61-fd1f-4fd8-a4d9-1535b1366d0e",
"name": "AI Agent - Score Lead",
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 3.1,
"position": [
1792,
208
]
},
{
"parameters": {
"model": {
"__rl": true,
"value": "gpt-5.4-mini",
"mode": "list",
"cachedResultName": "gpt-5.4-mini"
},
"builtInTools": {},
"options": {}
},
"id": "38d57d83-04be-456e-87c8-c7789eaa0200",
"name": "OpenAI Chat Model - Score Lead",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.3,
"position": [
1728,
416
],
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"schemaType": "manual",
"inputSchema": "{\n \"type\": \"object\",\n \"additionalProperties\": false,\n \"required\": [\n \"company\",\n \"website\",\n \"email\",\n \"phone\",\n \"lead_score\",\n \"score_reason\",\n \"recommended_next_step\"\n ],\n \"properties\": {\n \"company\": {\n \"type\": \"string\"\n },\n \"website\": {\n \"type\": \"string\"\n },\n \"email\": {\n \"type\": \"string\"\n },\n \"phone\": {\n \"type\": \"string\"\n },\n \"lead_score\": {\n \"type\": \"number\"\n },\n \"score_reason\": {\n \"type\": \"string\"\n },\n \"recommended_next_step\": {\n \"type\": \"string\"\n },\n \"risks\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"string\"\n }\n }\n }\n}"
},
"id": "d6d5389e-3a82-4103-82c9-7bd63e9eb79b",
"name": "Structured Output Parser - Lead Score",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"typeVersion": 1.3,
"position": [
2000,
416
]
}
],
"connections": {
"Manual Trigger": {
"main": [
[
{
"node": "Set Search Criteria",
"type": "main",
"index": 0
}
]
]
},
"Set Search Criteria": {
"main": [
[
{
"node": "Outscraper - Google Maps Search",
"type": "main",
"index": 0
}
]
]
},
"Outscraper - Google Maps Search": {
"main": [
[
{
"node": "Normalize Lead Candidates",
"type": "main",
"index": 0
}
]
]
},
"Normalize Lead Candidates": {
"main": [
[
{
"node": "Outscraper - Emails & Contacts",
"type": "main",
"index": 0
}
]
]
},
"Outscraper - Emails & Contacts": {
"main": [
[
{
"node": "Pick Best Email",
"type": "main",
"index": 0
}
]
]
},
"Pick Best Email": {
"main": [
[
{
"node": "Outscraper - Email Validator",
"type": "main",
"index": 0
}
]
]
},
"Build CRM Payload": {
"main": [
[
{
"node": "AI Agent - Score Lead",
"type": "main",
"index": 0
}
]
]
},
"Outscraper - Email Validator": {
"main": [
[
{
"node": "Build CRM Payload",
"type": "main",
"index": 0
}
]
]
},
"AI Agent - Score Lead": {
"main": [
[]
]
},
"OpenAI Chat Model - Score Lead": {
"ai_languageModel": [
[
{
"node": "AI Agent - Score Lead",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Structured Output Parser - Lead Score": {
"ai_outputParser": [
[
{
"node": "AI Agent - Score Lead",
"type": "ai_outputParser",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1",
"binaryMode": "separate"
},
"versionId": "ac9e4c04-e582-49e5-8e3d-0f3bef305a62",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "zklyd8A5I4RteP5y",
"tags": []
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
openAiApioutscraperApi
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About this workflow
Outscraper - AI-powered lead generation pipeline. Uses n8n-nodes-outscraper, agent, lmChatOpenAi, outputParserStructured. Event-driven trigger; 11 nodes.
Source: https://github.com/outscraper/n8n-nodes-outscraper/blob/9cf54fa8b92a0918647d806be3d6db55dad787bb/examples/ai-powered-lead-generation-pipeline.workflow.json — original creator credit. Request a take-down →
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