This workflow follows the Chainllm → Form 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 →
{
"nodes": [
{
"id": "58da2884-6dd9-446e-beca-cacae1e8df7c",
"name": "Sticky Note9",
"type": "n8n-nodes-base.stickyNote",
"position": [
4940,
340
],
"parameters": {
"color": 4,
"width": 1280,
"height": 320,
"content": "======================================= \n \uc6cc\ud06c\ud50c\ub85c\uc6b0 \uc9c0\uc6d0 \n======================================= \n\uc9c8\ubb38\uc774\ub098 \uc9c0\uc6d0\uc774 \ud544\uc694\ud558\uc2e0 \uacbd\uc6b0, \ub2e4\uc74c\uc73c\ub85c \uc5f0\ub77d \uc8fc\uc138\uc694: \n Yaron@nofluff.online \n \n\uc5ec\uae30\uc5d0\uc11c \ub354 \ub9ce\uc740 \ud301\uacfc \ud29c\ud1a0\ub9ac\uc5bc\uc744 \ud0d0\uc0c9\ud558\uc138\uc694: \n - YouTube: https://www.youtube.com/@YaronBeen/videos \n - LinkedIn: https://www.linkedin.com/in/yaronbeen/ \n======================================= \nBright Data \ubb38\uc11c: https://docs.brightdata.com/introduction"
},
"typeVersion": 1
},
{
"id": "d2aa5abc-6a8b-4ad3-9b87-1349f3dd80b9",
"name": "Snapshot Progress",
"type": "n8n-nodes-base.httpRequest",
"position": [
7540,
760
],
"parameters": {
"url": "=https://api.brightdata.com/datasets/v3/progress/{{ $('HTTP Request- Post API call to Bright Data').item.json.snapshot_id }}",
"options": {},
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Bearer <YOUR_BRIGHT_DATA_API_KEY>"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "fba84a88-1775-4bc9-85cb-1bda621b4c2c",
"name": "Sticky Note10",
"type": "n8n-nodes-base.stickyNote",
"position": [
8600,
540
],
"parameters": {
"width": 195,
"height": 646,
"content": "\uc774 \uc6cc\ud06c\ud50c\ub85c\uc6b0\uc5d0\uc11c \uacb0\uacfc\ub97c \uc800\uc7a5\ud558\uae30 \uc704\ud574 Google Sheets\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4. \n\n\ub354 \ube60\ub974\uac8c \uc2dc\uc791\ud558\uae30 \uc704\ud574 \ub0b4 \ud15c\ud50c\ub9bf\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:\n\n1. [\ud15c\ud50c\ub9bf\uc744 \uac00\uc838\uc624\uae30 \uc704\ud574 \uc774 \ub9c1\ud06c\ub97c \ud074\ub9ad\ud558\uc138\uc694](https://docs.google.com/spreadsheets/d/1IR-yMQwEFTjbTCSPvVlQ54zQsnG0IRauTjPGoBWmR8U/edit?usp=sharing)\n2. Sheets\uc758 \uc0ac\ubcf8\uc744 \ub9cc\ub4dc\uc138\uc694\n3. \uc774 \ub178\ub4dc\uc5d0 URL\uc744 \ucd94\uac00\ud558\uc138\uc694"
},
"typeVersion": 1
},
{
"id": "4b235825-1445-42d1-a9fa-d017974819fe",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
6560,
840
],
"parameters": {
"width": 220,
"height": 440,
"content": "\uc5ec\uae30\uc5d0 \uacbd\uc7c1\uc790\ub4e4\uc758 Amazon \ub9c1\ud06c\ub97c \ucd94\uac00\ud558\uc138\uc694."
},
"typeVersion": 1
},
{
"id": "d6a75b46-e968-4dab-962d-1f81b643b768",
"name": "HTTP Request- Post API call to Bright Data",
"type": "n8n-nodes-base.httpRequest",
"position": [
6920,
840
],
"parameters": {
"url": "https://api.brightdata.com/datasets/v3/trigger",
"method": "POST",
"options": {},
"jsonBody": "=[\n {\n \"url\": \"{{ $json['Amazon Product URL'] }}\"\n }\n]",
"sendBody": true,
"sendQuery": true,
"sendHeaders": true,
"specifyBody": "json",
"queryParameters": {
"parameters": [
{
"name": "dataset_id",
"value": "gd_le8e811kzy4ggddlq"
},
{
"name": "include_errors",
"value": "true"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Bearer <YOUR_BRIGHT_DATA_API_KEY>"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "50a6c73a-dd82-40af-ad5a-88ef4fd5fc7c",
"name": "Wait - Polling Bright Data",
"type": "n8n-nodes-base.wait",
"position": [
7300,
760
],
"parameters": {
"unit": "minutes",
"amount": 1
},
"executeOnce": false,
"typeVersion": 1.1
},
{
"id": "8af8f713-6d5d-4113-ad5e-86b29fc8f441",
"name": "If - Checking status of Snapshot - if data is ready or not",
"type": "n8n-nodes-base.if",
"position": [
7740,
760
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "7932282b-71bb-4bbb-ab73-4978e554de7e",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "running"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "98166378-3766-4c69-b891-48891a18e175",
"name": "HTTP Request - Getting data from Bright Data",
"type": "n8n-nodes-base.httpRequest",
"position": [
8020,
780
],
"parameters": {
"url": "=https://api.brightdata.com/datasets/v3/snapshot/{{ $('HTTP Request- Post API call to Bright Data').item.json.snapshot_id }}",
"options": {},
"sendQuery": true,
"sendHeaders": true,
"queryParameters": {
"parameters": [
{
"name": "format",
"value": "json"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Bearer <YOUR_BRIGHT_DATA_API_KEY>"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "217cc982-0550-4e27-afd5-12b46eafcd04",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
7240,
620
],
"parameters": {
"color": 4,
"width": 940,
"height": 400,
"content": "\ube0c\ub77c\uc774\ud2b8 \ub370\uc774\ud130 \ub9ac\ubdf0 \uc5bb\uae30"
},
"typeVersion": 1
},
{
"id": "5fd57531-25f4-4b10-9d95-bbeda1b336cf",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
9620,
1060
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "d79c7504-0ccc-4491-bf7a-3697b31fa71a",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
9480,
600
],
"parameters": {
"width": 360,
"height": 820,
"content": "\uc774 \ud504\ub86c\ud504\ud2b8\ub97c \ub2e4\uc74c\uacfc \uac19\uc774 \uc870\uc815\ud558\uc138\uc694:\n1. \uadc0\ud558\uc758 \ud68c\uc0ac\uc640 \uc81c\uc548\uc5d0 \ub300\ud55c \uc815\ubcf4\ub97c \ucd94\uac00\ud558\uc138\uc694.\n\n2. \ud15c\ud50c\ub9bf\uc740 LLM\uc774 \ucd5c\uadfc \ub9ac\ubdf0\uc758 \uc694\uc57d\uc744 \uc0dd\uc131\ud558\ub3c4\ub85d \uc694\uad6c\ud558\uc9c0\ub9cc, \uc870\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4."
},
"typeVersion": 1
},
{
"id": "413669e5-2b75-499d-ba00-766b3cce0d69",
"name": "Google Sheets - Adding All Reviews",
"type": "n8n-nodes-base.googleSheets",
"position": [
8640,
840
],
"parameters": {
"columns": {
"value": {},
"schema": [
{
"id": "url",
"type": "string",
"display": true,
"required": false,
"displayName": "url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "product_name",
"type": "string",
"display": true,
"required": false,
"displayName": "product_name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "product_rating",
"type": "string",
"display": true,
"required": false,
"displayName": "product_rating",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "product_rating_object",
"type": "string",
"display": true,
"required": false,
"displayName": "product_rating_object",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "product_rating_max",
"type": "string",
"display": true,
"required": false,
"displayName": "product_rating_max",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "rating",
"type": "string",
"display": true,
"required": false,
"displayName": "rating",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "author_name",
"type": "string",
"display": true,
"required": false,
"displayName": "author_name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "asin",
"type": "string",
"display": true,
"required": false,
"displayName": "asin",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "product_rating_count",
"type": "string",
"display": true,
"required": false,
"displayName": "product_rating_count",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "review_header",
"type": "string",
"display": true,
"required": false,
"displayName": "review_header",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "review_id",
"type": "string",
"display": true,
"required": false,
"displayName": "review_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "review_text",
"type": "string",
"display": true,
"required": false,
"displayName": "review_text",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "author_id",
"type": "string",
"display": true,
"required": false,
"displayName": "author_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "author_link",
"type": "string",
"display": true,
"required": false,
"displayName": "author_link",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "badge",
"type": "string",
"display": true,
"required": false,
"displayName": "badge",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "brand",
"type": "string",
"display": true,
"required": false,
"displayName": "brand",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "review_posted_date",
"type": "string",
"display": true,
"required": false,
"displayName": "review_posted_date",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "review_country",
"type": "string",
"display": true,
"required": false,
"displayName": "review_country",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "review_images",
"type": "string",
"display": true,
"required": false,
"displayName": "review_images",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "helpful_count",
"type": "string",
"display": true,
"required": false,
"displayName": "helpful_count",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "is_amazon_vine",
"type": "string",
"display": true,
"required": false,
"displayName": "is_amazon_vine",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "is_verified",
"type": "string",
"display": true,
"required": false,
"displayName": "is_verified",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "variant_asin",
"type": "string",
"display": true,
"required": false,
"displayName": "variant_asin",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "variant_name",
"type": "string",
"display": true,
"required": false,
"displayName": "variant_name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "videos",
"type": "string",
"display": true,
"required": false,
"displayName": "videos",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "timestamp",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "timestamp",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "input",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "input",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "autoMapInputData",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1IR-yMQwEFTjbTCSPvVlQ54zQsnG0IRauTjPGoBWmR8U/edit#gid=0",
"cachedResultName": "input"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1IR-yMQwEFTjbTCSPvVlQ54zQsnG0IRauTjPGoBWmR8U",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1IR-yMQwEFTjbTCSPvVlQ54zQsnG0IRauTjPGoBWmR8U/edit?usp=drivesdk",
"cachedResultName": "NoFluff-N8N-Sheet-Template- AMAZON Reviews Scraping WIth Bright Data"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 4.3,
"alwaysOutputData": true
},
{
"id": "e1d58479-4008-4801-8523-fa2304ea9ef0",
"name": "On form submission - Amazon Reviews",
"type": "n8n-nodes-base.formTrigger",
"position": [
6620,
980
],
"parameters": {
"options": {},
"formTitle": "Please Paste The URL of the Amazon Product",
"formFields": {
"values": [
{
"fieldLabel": "Amazon Product URL",
"placeholder": "https://www.amazon.com/Quencher-Cupholder-Compatible-Insulated-Stainless/dp/B0DCDQ1RFV",
"requiredField": true
}
]
}
},
"typeVersion": 2.2
},
{
"id": "2d79e9d2-a867-447e-91f9-b90c2e56427a",
"name": "Aggregating all reviews",
"type": "n8n-nodes-base.aggregate",
"position": [
9140,
840
],
"parameters": {
"options": {},
"fieldsToAggregate": {
"fieldToAggregate": [
{
"renameField": true,
"outputFieldName": "Aggregated_reviews",
"fieldToAggregate": "review_text"
}
]
}
},
"typeVersion": 1
},
{
"id": "937ef1c4-32b3-4966-abb4-f4ae09aa12a7",
"name": "Basic LLM Chain - Summary of Recent reviews",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
9520,
840
],
"parameters": {
"text": "=Read the following reviews, these are reviews of our competitors:\n{{ $json.Aggregated_reviews }}\n\n---\nAfter reading them, summarize their weakest points.\nDon't mention the competitor name.\n\n",
"promptType": "define"
},
"typeVersion": 1.6
},
{
"id": "2ccf1e0f-a738-44ee-bd8f-65a02a92ca91",
"name": "OpenAI- Generating image",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
10160,
840
],
"parameters": {
"prompt": "={\n \"ad_dimensions\": {\n \"width\": 1080,\n \"height\": 1080\n },\n \"target_audience\": \"B2C customer\",\n \"pain_points_source\": \"choose one pain point based on this {{ $json.text }}\",\n \"ad_requirements\": {\n \"image_style\": \"weird-and-fun\",\n \"weird_objects\": [\n \"Fruit with Faces\",\n \"Realistic People\"\n ],\n \"focus\": \"address the biggest pain point of competitors\",\n \"avoid_naming_competitors\": true,\n \"headline\": {\n \"position\": \"No\",\n \"text_only\": \"No\",\n \"other_text\": \"No\"\n },\n \"background\": [\n \"bold red\",\n \"black\"\n ]\n }\n}",
"options": {},
"resource": "image"
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.8
},
{
"id": "ebb11f25-66f5-495e-a7bc-4212c6db10d5",
"name": "Gmail - Sending creative to Media Buyers",
"type": "n8n-nodes-base.gmail",
"position": [
10580,
840
],
"parameters": {
"sendTo": "yaron.been@gmail.com",
"message": "=Hey, \n\nWe have analyzed our competitors recent reviews.\nAnalysis data:\n{{ $today }}\n\nHere's a summary:\n{{ $('Basic LLM Chain - Summary of Recent reviews').item.json.text }}\n\nPlease see attached an AI generated 1080x1080 image which you can use in Meta ads.\n\n",
"options": {
"attachmentsUi": {
"attachmentsBinary": [
{}
]
}
},
"subject": "=Static Creatives Based on Our competitor {{ $now }}",
"emailType": "text"
},
"credentials": {
"gmailOAuth2": {
"name": "<your credential>"
}
},
"typeVersion": 2.1
}
],
"connections": {
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Basic LLM Chain - Summary of Recent reviews",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Snapshot Progress": {
"main": [
[
{
"node": "If - Checking status of Snapshot - if data is ready or not",
"type": "main",
"index": 0
}
]
]
},
"Aggregating all reviews": {
"main": [
[
{
"node": "Basic LLM Chain - Summary of Recent reviews",
"type": "main",
"index": 0
}
]
]
},
"OpenAI- Generating image": {
"main": [
[
{
"node": "Gmail - Sending creative to Media Buyers",
"type": "main",
"index": 0
}
]
]
},
"Wait - Polling Bright Data": {
"main": [
[
{
"node": "Snapshot Progress",
"type": "main",
"index": 0
}
]
]
},
"Google Sheets - Adding All Reviews": {
"main": [
[
{
"node": "Aggregating all reviews",
"type": "main",
"index": 0
}
]
]
},
"On form submission - Amazon Reviews": {
"main": [
[
{
"node": "HTTP Request- Post API call to Bright Data",
"type": "main",
"index": 0
}
]
]
},
"HTTP Request- Post API call to Bright Data": {
"main": [
[
{
"node": "Wait - Polling Bright Data",
"type": "main",
"index": 0
}
]
]
},
"Basic LLM Chain - Summary of Recent reviews": {
"main": [
[
{
"node": "OpenAI- Generating image",
"type": "main",
"index": 0
}
]
]
},
"HTTP Request - Getting data from Bright Data": {
"main": [
[
{
"node": "Google Sheets - Adding All Reviews",
"type": "main",
"index": 0
}
]
]
},
"If - Checking status of Snapshot - if data is ready or not": {
"main": [
[
{
"node": "Wait - Polling Bright Data",
"type": "main",
"index": 0
}
],
[
{
"node": "HTTP Request - Getting data from Bright Data",
"type": "main",
"index": 0
}
]
]
}
}
}
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.
gmailOAuth2googleSheetsOAuth2ApiopenAiApi
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
3624. Uses httpRequest, lmChatOpenAi, googleSheets, formTrigger. Event-driven trigger; 17 nodes.
Source: https://github.com/n8nKOR/n8n-shared-workflow/blob/62a671327e906c22a40d290b339ff6d2373f8d75/workflows/n8nworkflows/ai/3624.json — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
Template Nodes Example. Uses CUSTOM, formTrigger, executeWorkflowTrigger, chatTrigger. Event-driven trigger; 70 nodes.
The workflow runs every hour with a randomized delay of 5–20 minutes to help distribute load. It records the exact date and time a lead is emailed so you can track outreach. Follow-ups are automatical
This workflow is perfect for graphic designers, creative agencies, marketing teams, or freelancers who regularly use AI-generated images in their projects. It's specifically beneficial for teams that
n8n Graphic Design Team. Uses googleSheets, googleDrive, httpRequest, outputParserStructured. Event-driven trigger; 37 nodes.
This n8n workflow automates turning short user ideas into production-ready real-estate marketing assets (photorealistic images and optional 360° videos). A form submission seeds a prompt board → an LL