This workflow follows the HTTP Request → Informationextractor 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 →
{
"id": "UuuCIDvTNnloIlvq",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "Automate Etsy Data Mining with Bright Data Scrape & Google Gemini",
"tags": [
{
"id": "Kujft2FOjmOVQAmJ",
"name": "Engineering",
"createdAt": "2025-04-09T01:31:00.558Z",
"updatedAt": "2025-04-09T01:31:00.558Z"
},
{
"id": "ddPkw7Hg5dZhQu2w",
"name": "AI",
"createdAt": "2025-04-13T05:38:08.053Z",
"updatedAt": "2025-04-13T05:38:08.053Z"
}
],
"nodes": [
{
"id": "f369feaf-4782-4411-9d08-fe91b9ffd97e",
"name": "When clicking \u2018Test workflow\u2019",
"type": "n8n-nodes-base.manualTrigger",
"position": [
200,
-555
],
"parameters": {},
"typeVersion": 1
},
{
"id": "231bae3c-c27e-49fc-b878-2d5cc1e14c5a",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
200,
-1020
],
"parameters": {
"width": 400,
"height": 300,
"content": "## Note\n\nDeals with the Esty web scraping by utilizing the Bright Data Web Unlocker Product.\n\nThe Information Extraction node being used to demonstrate the usage of the N8N AI capabilities.\n\n**Please make sure to set the Indeed search query and update the Webhook Notification URL**"
},
"typeVersion": 1
},
{
"id": "f568de40-b389-41f9-afe9-5e09a291c367",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
640,
-1020
],
"parameters": {
"width": 480,
"height": 300,
"content": "## LLM Usages\n\nGoogle Gemini Flash Exp model is being used.\n\nBasic LLM Chain Data Extractor."
},
"typeVersion": 1
},
{
"id": "4f1db865-a0cb-4978-9c7d-fde448bd978a",
"name": "Set Esty Search Query",
"type": "n8n-nodes-base.set",
"position": [
420,
-555
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "3aedba66-f447-4d7a-93c0-8158c5e795f9",
"name": "url",
"type": "string",
"value": "https://www.etsy.com/search?q=wall+art+for+mum&order=date_desc&page=1&ref=pagination"
},
{
"id": "4e7ee31d-da89-422f-8079-2ff2d357a0ba",
"name": "zone",
"type": "string",
"value": "web_unlocker1"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "4cb51368-bb69-4d99-a0b6-e8e8013f1dfd",
"name": "Perform Esty Web Request",
"type": "n8n-nodes-base.httpRequest",
"position": [
640,
-680
],
"parameters": {
"url": "https://api.brightdata.com/request",
"method": "POST",
"options": {},
"sendBody": true,
"sendHeaders": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "zone",
"value": "={{ $json.zone }}"
},
{
"name": "url",
"value": "={{ $json.url }}?product=unlocker&method=api"
},
{
"name": "format",
"value": "raw"
},
{
"name": "data_format",
"value": "markdown"
}
]
},
"genericAuthType": "httpHeaderAuth",
"headerParameters": {
"parameters": [
{}
]
}
},
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "9fb7bdc5-ba64-4df4-89b4-a3207e7f6d0e",
"name": "Google Gemini Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
948,
-460
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "1f95576d-e243-481d-9d5f-308764d8ea4b",
"name": "Loop Over Items",
"type": "n8n-nodes-base.splitInBatches",
"position": [
1460,
-680
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "47f23aa1-63ee-49e3-a465-283c7ab71b76",
"name": "Perform Esty web request over the loop",
"type": "n8n-nodes-base.httpRequest",
"position": [
1680,
-560
],
"parameters": {
"url": "https://api.brightdata.com/request",
"method": "POST",
"options": {},
"sendBody": true,
"sendHeaders": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "zone",
"value": "=web_unlocker1"
},
{
"name": "url",
"value": "={{ $json.url }}&product=unlocker"
},
{
"name": "format",
"value": "raw"
},
{
"name": "data_format",
"value": "markdown"
}
]
},
"genericAuthType": "httpHeaderAuth",
"headerParameters": {
"parameters": [
{}
]
}
},
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "0b5ea206-a5a0-49b5-8f53-10b4dec5806c",
"name": "Initiate a Webhook Notification for the extracted data",
"type": "n8n-nodes-base.httpRequest",
"position": [
2320,
-560
],
"parameters": {
"url": "https://webhook.site/3c36d7d1-de1b-4171-9fd3-643ea2e4dd76",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "summary",
"value": "={{ $json.output }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "a164b90b-f44c-4862-b010-d515926774c7",
"name": "Extract Item List with the Product Info",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
1920,
-560
],
"parameters": {
"text": "=Extract the product info in JSON\n\n{{ $json.data }}",
"options": {},
"schemaType": "fromJson",
"jsonSchemaExample": "[{\n \"image\": \"https://i.etsystatic.com/34923795/r/il/8f3bba/5855230678/il_fullxfull.5855230678_n9el.jpg\",\n \"name\": \"Custom Coffee Mug with Photo\",\n \"url\": \"https://www.etsy.com/listing/1193808036/custom-coffee-mug-with-photo\",\n \"brand\": {\n \"@type\": \"Brand\",\n \"name\": \"TheGiftBucks\"\n },\n \"offers\": {\n \"@type\": \"Offer\",\n \"price\": \"14.99\",\n \"priceCurrency\": \"USD\"\n }\n}]"
},
"typeVersion": 1
},
{
"id": "c3798c64-ac53-44c8-ba91-8fe33377113d",
"name": "Google Gemini Chat Model for product info",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
2000,
-300
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "11e4ae42-d2e1-4a4b-adcf-382f9e494431",
"name": "Extract Paginated Resultset",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
860,
-680
],
"parameters": {
"text": "=Analyze and Extract the below content. Make sure to produce a unique resultset. Exclude page_numbers which are not numbers.\n\n {{ $json.data }}",
"options": {},
"schemaType": "manual",
"inputSchema": "{\n \"$schema\": \"http://json-schema.org/schema#\",\n \"title\": \"PagedResultSetSchema\",\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"page_number\": {\n \"type\": \"string\",\n \"description\": \"Page number, typically a string (e.g., '1', '2', 'next').\"\n },\n \"url\": {\n \"type\": \"string\",\n \"format\": \"uri\",\n \"description\": \"URL pointing to the page.\"\n }\n },\n \"required\": [\"page_number\", \"url\"],\n \"additionalProperties\": false\n }\n}\n"
},
"typeVersion": 1
},
{
"id": "28c1822b-d51c-4f8e-b98e-2e12324397be",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1400,
-780
],
"parameters": {
"color": 5,
"width": 1340,
"height": 620,
"content": "## Loop and Perform Paginated Esty Data Extraction\n"
},
"typeVersion": 1
},
{
"id": "d4f18f2b-9825-4320-addb-c02bfdc4da97",
"name": "Write the scraped content to disk",
"type": "n8n-nodes-base.readWriteFile",
"position": [
2560,
-760
],
"parameters": {
"options": {},
"fileName": "=d:\\Esty-Scraped-Content-{{ $('Loop Over Items').item.json.page_number }}.json",
"operation": "write"
},
"typeVersion": 1
},
{
"id": "5555407d-c7dd-4e5c-83ab-ef6ba9c46da3",
"name": "Create a binary data",
"type": "n8n-nodes-base.function",
"position": [
2360,
-760
],
"parameters": {
"functionCode": "items[0].binary = {\n data: {\n data: new Buffer(JSON.stringify(items[0].json, null, 2)).toString('base64')\n }\n};\nreturn items;"
},
"typeVersion": 1
},
{
"id": "2f7a5fab-a2f4-422e-8f83-ce50fbe2a738",
"name": "Split Out",
"type": "n8n-nodes-base.splitOut",
"position": [
1240,
-680
],
"parameters": {
"options": {},
"fieldToSplitOut": "output"
},
"typeVersion": 1
},
{
"id": "3d7a8992-b8d4-4a86-b60b-a92a7d63e31b",
"name": "Extract Paginated Resultset With OpenAI",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
880,
-120
],
"parameters": {
"text": "=Analyze and Extract the below content. Make sure to produce a unique resultset. Exclude page_numbers which are not numbers.\n\n {{ $json.data }}",
"options": {},
"schemaType": "manual",
"inputSchema": "{\n \"$schema\": \"http://json-schema.org/schema#\",\n \"title\": \"PagedResultSetSchema\",\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"page_number\": {\n \"type\": \"string\",\n \"description\": \"Page number, typically a string (e.g., '1', '2', 'next').\"\n },\n \"url\": {\n \"type\": \"string\",\n \"format\": \"uri\",\n \"description\": \"URL pointing to the page.\"\n }\n },\n \"required\": [\"page_number\", \"url\"],\n \"additionalProperties\": false\n }\n}\n"
},
"typeVersion": 1
},
{
"id": "aa42d335-67bc-4dc5-a68a-4ce93e05464a",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
880,
80
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "82df0ccc-3065-4bb5-a48e-90e4dbf2162f",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
640,
-260
],
"parameters": {
"color": 6,
"width": 660,
"height": 460,
"content": "## Open AI Extraction (Optional)\nNote - Replace the above workflow with the Open AI Chat Model if needed\nPlease make sure to set the OpenAI Chat Model -> Credential to connect with **OpenAi Account**"
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "40a1bbd5-05b2-41c2-8b3c-72e3f16fd13a",
"connections": {
"Split Out": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Items": {
"main": [
[],
[
{
"node": "Perform Esty web request over the loop",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Extract Paginated Resultset With OpenAI",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Create a binary data": {
"main": [
[
{
"node": "Write the scraped content to disk",
"type": "main",
"index": 0
}
]
]
},
"Set Esty Search Query": {
"main": [
[
{
"node": "Perform Esty Web Request",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "Extract Paginated Resultset",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Perform Esty Web Request": {
"main": [
[
{
"node": "Extract Paginated Resultset",
"type": "main",
"index": 0
}
]
]
},
"Extract Paginated Resultset": {
"main": [
[
{
"node": "Split Out",
"type": "main",
"index": 0
}
]
]
},
"When clicking \u2018Test workflow\u2019": {
"main": [
[
{
"node": "Set Esty Search Query",
"type": "main",
"index": 0
}
]
]
},
"Perform Esty web request over the loop": {
"main": [
[
{
"node": "Extract Item List with the Product Info",
"type": "main",
"index": 0
}
]
]
},
"Extract Item List with the Product Info": {
"main": [
[
{
"node": "Initiate a Webhook Notification for the extracted data",
"type": "main",
"index": 0
},
{
"node": "Create a binary data",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model for product info": {
"ai_languageModel": [
[
{
"node": "Extract Item List with the Product Info",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Initiate a Webhook Notification for the extracted data": {
"main": [
[
{
"node": "Loop Over Items",
"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.
googlePalmApihttpHeaderAuthopenAiApi
Pro
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How this works
Efficiently extract and analyse Etsy product data to uncover trends, competitors, or sourcing opportunities without manual browsing, saving hours of repetitive work for e-commerce entrepreneurs and market researchers. This workflow leverages Bright Data's scraping capabilities to pull real-time listings based on your search query, then employs Google Gemini to intelligently summarise and categorise the results into actionable insights. The key step involves looping through paginated Etsy search results, ensuring comprehensive data collection before AI-driven processing delivers tailored reports.
Use this when you need automated, on-demand intelligence for Etsy market analysis, such as monitoring niche trends or pricing strategies, particularly if you're scaling an online store. Avoid it for one-off queries better handled by manual searches, or when dealing with high-volume data requiring advanced compliance checks to respect Etsy's terms. Common variations include swapping Google Gemini for OpenAI integration to refine outputs with custom prompts, or adding file exports for ongoing data logging.
About this workflow
Automate Etsy Data Mining with Bright Data Scrape & Google Gemini. Uses manualTrigger, stickyNote, httpRequest, lmChatGoogleGemini. Event-driven trigger; 19 nodes.
Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →
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