This workflow follows the Agent → Execute Workflow Trigger 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": "My workflow 9",
"nodes": [
{
"parameters": {
"rule": {
"interval": [
{
"field": "hours"
}
]
}
},
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1.2,
"position": [
832,
320
],
"id": "d4b24c91-62be-4cf4-b86c-a4fde15d87ba",
"name": "Schedule Trigger"
},
{
"parameters": {
"content": "## Preprocessing",
"height": 240,
"width": 928
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
800,
256
],
"id": "d730bce7-ab55-4999-811c-65332a64b8fb",
"name": "Sticky Note"
},
{
"parameters": {
"inputSource": "passthrough"
},
"type": "n8n-nodes-base.executeWorkflowTrigger",
"typeVersion": 1.1,
"position": [
272,
-288
],
"id": "a5b6371b-57f7-4fa3-9da5-4155b5043405",
"name": "When Executed by Another Workflow",
"disabled": true
},
{
"parameters": {
"documentId": {
"__rl": true,
"value": "DOCUMENT_ID",
"mode": "id"
},
"sheetName": {
"__rl": true,
"value": "SHEET_ID",
"mode": "id"
},
"options": {}
},
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4.6,
"position": [
1072,
320
],
"id": "401e6575-8a6f-43dd-ad5a-4632704ae25d",
"name": "Fetch Details",
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"url": "https://api.brightdata.com/dca/dataset",
"authentication": "genericCredentialType",
"genericAuthType": "httpBearerAuth",
"sendQuery": true,
"queryParameters": {
"parameters": [
{
"name": "id",
"value": "={{ $json.collection_id }}"
}
]
},
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "ADD_API_KEY"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
496,
-288
],
"id": "45132cc2-6fd9-4a41-b20a-8ebeb23f4954",
"name": "Get Data",
"credentials": {
"httpBearerAuth": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"method": "POST",
"url": "https://api.brightdata.com/dca/trigger",
"authentication": "genericCredentialType",
"genericAuthType": "httpBearerAuth",
"sendQuery": true,
"queryParameters": {
"parameters": [
{
"name": "queue_next",
"value": "1"
},
{
"name": "collector",
"value": "COLLECTOR_ID"
}
]
},
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "ADD_API_KEY"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "=[\n {\n \"url\": \"{{ $json.URL }}\"\n }\n]",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1328,
320
],
"id": "e6eab0aa-d328-4a28-84bd-04a6e3e01c90",
"name": "Start Scrape",
"credentials": {
"httpBearerAuth": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "loose",
"version": 2
},
"conditions": [
{
"id": "d4499480-3eca-4d18-90c7-f83233113cae",
"leftValue": "={{ $json.data }}",
"rightValue": "",
"operator": {
"type": "string",
"operation": "exists",
"singleValue": true
}
}
],
"combinator": "or"
},
"looseTypeValidation": true,
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
688,
-288
],
"id": "e8755613-7435-44e1-b753-71d5b7a3f274",
"name": "If data exists"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "c9185c03-422e-4606-962c-14ff8db6f344",
"name": "collection_id",
"value": "={{ $('When Executed by Another Workflow').item.json.collection_id }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
576,
48
],
"id": "288b793d-cad0-40fb-8bed-1abb19bd555c",
"name": "Pass collection"
},
{
"parameters": {},
"type": "n8n-nodes-base.wait",
"typeVersion": 1.1,
"position": [
736,
48
],
"id": "02224a85-a1d2-4bdf-8ecc-6e2ecd0b13c3",
"name": "Wait"
},
{
"parameters": {
"content": "## Poll",
"height": 208,
"width": 336,
"color": 3
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
544,
0
],
"id": "8ad2de01-f9f2-49a0-b69d-790c4d8308d6",
"name": "Sticky Note2"
},
{
"parameters": {
"content": "## Get Job List\n",
"height": 352,
"width": 656,
"color": 4
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
224,
-368
],
"id": "655ebac9-e331-4663-80bf-a25d91b62cfb",
"name": "Sticky Note3"
},
{
"parameters": {
"method": "POST",
"url": "https://api.brightdata.com/dca/trigger",
"authentication": "genericCredentialType",
"genericAuthType": "httpBearerAuth",
"sendQuery": true,
"queryParameters": {
"parameters": [
{
"name": "queue_next",
"value": "1"
},
{
"name": "collector",
"value": "COLLECTOR_ID"
}
]
},
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "ADD_API_KEY"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={{ $json.stdout }}",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1376,
-272
],
"id": "4f74f64e-1724-4ef6-b5c8-3bd87b50bd4b",
"name": "Scrape JD",
"credentials": {
"httpBearerAuth": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"content": "## Scrape JD",
"height": 352,
"width": 624,
"color": 7
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
896,
-368
],
"id": "eb1a473d-9dcd-4207-9999-0ecfae90c10b",
"name": "Sticky Note6"
},
{
"parameters": {
"workflowId": {
"__rl": true,
"value": "uNP7iWwXR4X621cK",
"mode": "list",
"cachedResultName": "Challenge"
},
"workflowInputs": {
"mappingMode": "defineBelow",
"value": {},
"matchingColumns": [],
"schema": [],
"attemptToConvertTypes": false,
"convertFieldsToString": true
},
"mode": "each",
"options": {
"waitForSubWorkflow": false
}
},
"type": "n8n-nodes-base.executeWorkflow",
"typeVersion": 1.2,
"position": [
1552,
320
],
"id": "c78f7863-34dc-43b6-8326-d72d4a58e059",
"name": "Execute Job Scanner"
},
{
"parameters": {
"command": "=#!/bin/bash\necho '{{ $json.data }}' | jq -c '[ .[] | .jobLinks[]? | {url:.url} ]'\n"
},
"type": "n8n-nodes-base.executeCommand",
"typeVersion": 1,
"position": [
960,
-256
],
"id": "4f877887-c2df-4fb7-9b17-6aaeb6061346",
"name": "Execute Command"
},
{
"parameters": {
"chatId": "CHAT_ID",
"text": "={{ $json.output }}\n\nExecution:\n{{ $execution.id }}",
"additionalFields": {}
},
"type": "n8n-nodes-base.telegram",
"typeVersion": 1.2,
"position": [
2416,
-304
],
"id": "a69b4608-947d-4137-a511-a3b28d4a7aed",
"name": "Message Telegram",
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"content": "## Notify",
"height": 352
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
2368,
-368
],
"id": "941a8cd7-52b2-4599-ae7c-eccb5f59f281",
"name": "Sticky Note1"
},
{
"parameters": {
"content": "## AI",
"height": 352,
"width": 336,
"color": 5
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
2016,
-368
],
"id": "634f6142-73ef-484d-ada7-1852cb3ac907",
"name": "Sticky Note4"
},
{
"parameters": {
"sessionIdType": "customKey",
"sessionKey": "memory",
"contextWindowLength": 10
},
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"typeVersion": 1.3,
"position": [
2192,
-144
],
"id": "50628191-3f65-4659-8918-1292e3f719ba",
"name": "Memory for high level"
},
{
"parameters": {
"promptType": "define",
"text": "=MISSION\nAnalyze to the provided json data, and decide if a role in the given data is relevant as per criteria.\n\nURL: {{ $json.data }}. If no or invalid data , quit. Also determine the company name from url.\n\nCRITERIA (INCLUDE)\n- Description: Suitable for fresher and new grads.\n- Experience: 0-1 years.\n- Role: SDE, Backend, Software Engineer, etc.\n\nCRITERIA (SKIP)\n- Experience: >2 years or senior titles (e.g., Lead, Manager).\n- Role: Non-dev (e.g., QA, Sales, HR, Support).\n\nPROTOCOL\nHalt immediately if blocked by a login wall\n\nOUTPUT\nReturn a result of all qualifying jobs in this format:\n\nName: Software Engineer \u2013 Entry Level,\nLink: https://lever.com/posts/abc123,\nReason: fresher-friendly, dev role, 0\u20131 yrs exp\n\nor\n\nNo jobs found for company X because...\n",
"options": {
"systemMessage": "## Persona\nYou are a specialized AI scout for finding fresher Software Development Engineer (SDE) roles in given data. You are efficient, precise, and security-conscious.\n\n## Core Directives\n1. **Analyze:** Scrutinize job text for keywords, company reputation, and role relevance based on user criteria.\n2. **Filter:** Aggressively discard senior positions, non-dev roles.\n3. **Report:** Send valid findings like a message.",
"maxIterations": 100,
"returnIntermediateSteps": true
}
},
"id": "77d091b0-6715-4455-bd6b-ae67127744d0",
"name": "Decision Maker",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
2080,
-304
],
"retryOnFail": false,
"typeVersion": 1.8,
"waitBetweenTries": 5000,
"onError": "continueRegularOutput"
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"typeVersion": 1,
"position": [
2064,
-144
],
"id": "dd9d358f-0bc8-4f9b-a04f-51e9e083a372",
"name": "Decision Maker model",
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {},
"type": "n8n-nodes-base.wait",
"typeVersion": 1.1,
"position": [
1856,
64
],
"id": "af2e29d4-22d5-43de-bec8-20f23f7f14ab",
"name": "Wait1"
},
{
"parameters": {
"content": "## Poll",
"height": 208,
"width": 336,
"color": 3
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
1664,
16
],
"id": "51f3f97c-5259-4cef-b90e-ba7208f7fd9f",
"name": "Sticky Note5"
},
{
"parameters": {
"content": "## Get JD Data",
"height": 352,
"width": 464,
"color": 4
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
1536,
-368
],
"id": "f5a3a982-74d4-4745-8f45-e3bb28115ed6",
"name": "Sticky Note7"
},
{
"parameters": {
"url": "https://api.brightdata.com/dca/dataset",
"authentication": "genericCredentialType",
"genericAuthType": "httpBearerAuth",
"sendQuery": true,
"queryParameters": {
"parameters": [
{
"name": "id",
"value": "={{ $json.collection_id }}"
}
]
},
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "ADD_API_KEY"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1616,
-272
],
"id": "6cf07eb4-f407-43d8-ab73-a2ff77d0a218",
"name": "Get JD Data",
"credentials": {
"httpBearerAuth": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "loose",
"version": 2
},
"conditions": [
{
"id": "d4499480-3eca-4d18-90c7-f83233113cae",
"leftValue": "={{ $json.data }}",
"rightValue": "",
"operator": {
"type": "string",
"operation": "exists",
"singleValue": true
}
}
],
"combinator": "and"
},
"looseTypeValidation": true,
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
1824,
-272
],
"id": "2b3a48a7-a5c2-4f6d-8659-48f2cec52fe2",
"name": "If JD data exists",
"alwaysOutputData": false
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "c9185c03-422e-4606-962c-14ff8db6f344",
"name": "collection_id",
"value": "={{ $('Scrape JD').item.json.collection_id }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
1696,
64
],
"id": "525307d3-96c2-48a9-9ef8-52ca36b010b1",
"name": "Pass jd collection"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "6f7c66ef-c08f-45cc-9d0c-3a9407815719",
"leftValue": "={{ $json.stdout }}",
"rightValue": "[]",
"operator": {
"type": "string",
"operation": "notStartsWith"
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
1152,
-256
],
"id": "b2eac437-05d5-4cfa-86e1-4ef8c687db95",
"name": "If"
}
],
"connections": {
"Schedule Trigger": {
"main": [
[
{
"node": "Fetch Details",
"type": "main",
"index": 0
}
]
]
},
"When Executed by Another Workflow": {
"main": [
[
{
"node": "Get Data",
"type": "main",
"index": 0
}
]
]
},
"Fetch Details": {
"main": [
[
{
"node": "Start Scrape",
"type": "main",
"index": 0
}
]
]
},
"Get Data": {
"main": [
[
{
"node": "If data exists",
"type": "main",
"index": 0
}
]
]
},
"Start Scrape": {
"main": [
[
{
"node": "Execute Job Scanner",
"type": "main",
"index": 0
}
]
]
},
"If data exists": {
"main": [
[
{
"node": "Execute Command",
"type": "main",
"index": 0
}
],
[
{
"node": "Pass collection",
"type": "main",
"index": 0
}
]
]
},
"Pass collection": {
"main": [
[
{
"node": "Wait",
"type": "main",
"index": 0
}
]
]
},
"Wait": {
"main": [
[
{
"node": "Get Data",
"type": "main",
"index": 0
}
]
]
},
"Scrape JD": {
"main": [
[
{
"node": "Get JD Data",
"type": "main",
"index": 0
}
]
]
},
"Execute Command": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"Memory for high level": {
"ai_memory": [
[
{
"node": "Decision Maker",
"type": "ai_memory",
"index": 0
}
]
]
},
"Decision Maker": {
"main": [
[
{
"node": "Message Telegram",
"type": "main",
"index": 0
}
]
]
},
"Decision Maker model": {
"ai_languageModel": [
[
{
"node": "Decision Maker",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Wait1": {
"main": [
[
{
"node": "Get JD Data",
"type": "main",
"index": 0
}
]
]
},
"Get JD Data": {
"main": [
[
{
"node": "If JD data exists",
"type": "main",
"index": 0
}
]
]
},
"If JD data exists": {
"main": [
[
{
"node": "Decision Maker",
"type": "main",
"index": 0
}
],
[
{
"node": "Pass jd collection",
"type": "main",
"index": 0
}
]
]
},
"Pass jd collection": {
"main": [
[
{
"node": "Wait1",
"type": "main",
"index": 0
}
]
]
},
"If": {
"main": [
[
{
"node": "Scrape JD",
"type": "main",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "255f0ee7-162c-4f81-8ffd-5facc5a6e655",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "kZJ1icg8bnXDLcxF",
"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.
googlePalmApigoogleSheetsOAuth2ApihttpBearerAuthtelegramApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
My workflow 9. Uses executeWorkflowTrigger, googleSheets, httpRequest, executeCommand. Scheduled trigger; 28 nodes.
Source: https://gist.github.com/Heapnotizer/82153323498bdf95765ce8232d0a960a — original creator credit. Request a take-down →
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