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 WORKFLOW ASSISTANCE\n=======================================\nFor any questions or support, please contact:\n Yaron@nofluff.online\n\nExplore more tips and tutorials here:\n - YouTube: https://www.youtube.com/@YaronBeen/videos\n - LinkedIn: https://www.linkedin.com/in/yaronbeen/\n=======================================\nBright Data Docs: https://docs.brightdata.com/introduction\n"
},
"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": "In this workflow, I use Google Sheets to store the results. \n\nYou can use my template to get started faster:\n\n1. [Click on this link to get the template](https://docs.google.com/spreadsheets/d/1IR-yMQwEFTjbTCSPvVlQ54zQsnG0IRauTjPGoBWmR8U/edit?usp=sharing)\n2. Make a copy of the Sheets\n3. Add the URL to this node \n\n\n"
},
"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": "Add your competitors Amazon link here.\n"
},
"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": "Bright Data Getting Reviews\n"
},
"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": "Adjust This Prompt with:\n1. Add info about your company and offer.\n\n2. The template requires the LLM to generate a summary of recent reviews but you can adjust it\n\n\n"
},
"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
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
How this works
This workflow automates the process of capturing and retrieving web data snapshots via Bright Data's API, ensuring you get fresh insights without manual intervention. It's ideal for marketers, researchers, or analysts who need reliable, scheduled web scraping to inform decisions, such as monitoring competitor prices or tracking social media trends. The key step involves polling the API after initiating a snapshot request, waiting until the data is ready before fetching and processing it into Google Sheets for easy analysis, with optional AI summarisation using OpenAI to highlight key findings.
Use this workflow when you require periodic, event-driven data collection from dynamic websites where immediate results aren't feasible, like daily competitor analysis. Avoid it for real-time needs or simple static page grabs, as the polling mechanism adds unnecessary delay; opt for direct HTTP requests instead. Common variations include swapping Bright Data for another scraping service or chaining outputs to email notifications rather than Sheets.
About this workflow
Wait Http. Uses stickyNote, httpRequest, lmChatOpenAi, googleSheets. Event-driven trigger; 17 nodes.
Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →
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