Snapshot Site This workflow corresponds to n8n.io template #17774 — we link there as the canonical source.
This workflow follows the Google Sheets → 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 →
{
"name": "E-commerce Product Extractor \u2192 Google Sheets",
"nodes": [
{
"id": "sticky-doc",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-880,
-400
],
"parameters": {
"width": 520,
"height": 1020,
"content": "## E-commerce Product Extractor \u2192 Google Sheets\n\n### How it works\n\nThis workflow runs daily and reads a list of e-commerce category page URLs from a Google Sheet. For each URL, it captures the fully-rendered page HTML with Snapshot Site, cleans it, and passes it to an AI Information Extractor that pulls out structured product fields. Extracted products are appended to a results sheet (deduplicated by product URL); comparison failures are logged to an errors sheet instead of stopping the run.\n\n### Setup steps\n\n- Install the `n8n-nodes-snapshot-site` community node (Settings \u2192 Community nodes \u2192 Install \u2192 `n8n-nodes-snapshot-site`) \u2014 verified by n8n.\n- Add a Snapshot Site credential, a Google Sheets credential, and an AI chat model credential (e.g. OpenAI) for the Information Extractor.\n- Create a source sheet with a `url` column (one category page per row) and a results sheet with columns matching the extracted fields (see the workflow README for the full list).\n- Paste this exact header row into row 1 of the **Products** tab (tab-separated, one column per cell): `productName\tbrand\tcategory\tsku\tcurrentPrice\toldPrice\tdiscount\tcurrency\tavailability\trating\treviews\tproductUrl\timageUrl\tshipping\tdescription`\n- Paste this header row into row 1 of the **Extraction Errors** tab: `url\tmessage\toccurredAt`\n- After importing, open the two Google Sheets write nodes (Log Extraction Error, Save Products) and switch Mapping Column Mode from \"Map Each Column Manually\" to \"Map Automatically\" \u2014 it always imports blank regardless of the JSON, but since the sheet headers above already match the incoming field names, this needs no manual typing.\n- Point the two Google Sheets nodes at your spreadsheet and adjust the schedule.\n\n### Customization\n\nAdd more source columns (e.g. a `store` tag), swap the AI model, or point the same Clean HTML \u2192 Extractor pattern at a different page type \u2014 this is the base pattern for every extraction workflow in this collection."
},
"typeVersion": 1
},
{
"id": "sticky-zone-loop",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-360,
-180
],
"parameters": {
"color": 7,
"width": 820,
"height": 380,
"content": "## Read sources and loop\n\nReads every category page URL from the source sheet and processes them one at a time."
},
"typeVersion": 1
},
{
"id": "sticky-zone-capture",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
500,
-220
],
"parameters": {
"color": 7,
"width": 780,
"height": 720,
"content": "## Capture and clean\n\nCaptures the fully-rendered HTML, checks for API errors, and strips scripts/styles before the AI step."
},
"typeVersion": 1
},
{
"id": "sticky-zone-extract",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
1340,
-180
],
"parameters": {
"color": 7,
"width": 780,
"height": 600,
"content": "## Extract and save\n\nExtracts structured product fields with AI, splits the array into individual rows, and appends them to the results sheet."
},
"typeVersion": 1
},
{
"id": "schedule-trigger",
"name": "When Every Day at 11AM",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-280,
60
],
"parameters": {
"rule": {
"interval": [
{
"field": "days",
"daysInterval": 1,
"triggerAtHour": 11
}
]
}
},
"typeVersion": 1.2
},
{
"id": "read-store-sources",
"name": "Read Store Sources",
"type": "n8n-nodes-base.googleSheets",
"position": [
0,
60
],
"parameters": {
"resource": "sheet",
"operation": "read",
"sheetName": {
"__rl": true,
"mode": "name",
"value": "Store Sources"
},
"documentId": {
"__rl": true,
"mode": "url",
"value": "https://docs.google.com/spreadsheets/d/PLACEHOLDER/edit"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 4.5
},
{
"id": "loop-over-sources",
"name": "Loop Over Store Sources",
"type": "n8n-nodes-base.splitInBatches",
"position": [
280,
60
],
"parameters": {
"options": {},
"batchSize": 1
},
"typeVersion": 3
},
{
"id": "all-sources-processed",
"name": "All Sources Processed",
"type": "n8n-nodes-base.noOp",
"position": [
560,
-100
],
"parameters": {},
"typeVersion": 1
},
{
"id": "get-page-html",
"name": "Get Page HTML",
"type": "n8n-nodes-snapshot-site.snapshotSite",
"onError": "continueErrorOutput",
"maxTries": 3,
"position": [
560,
140
],
"parameters": {
"url": "={{ $json.url }}",
"operation": "screenshot",
"additionalFields": {
"delay": 5,
"format": "html",
"fullSize": true
}
},
"credentials": {
"snapshotSiteApi": {
"name": "<your credential>"
}
},
"retryOnFail": true,
"typeVersion": 1,
"waitBetweenTries": 5000
},
{
"id": "if-api-error",
"name": "Check for API Error",
"type": "n8n-nodes-base.if",
"position": [
840,
140
],
"parameters": {
"conditions": {
"boolean": [
{
"value1": "={{ $json.error === true }}",
"value2": true
}
]
}
},
"typeVersion": 1
},
{
"id": "build-error-record",
"name": "Build Error Record",
"type": "n8n-nodes-base.set",
"position": [
840,
340
],
"parameters": {
"assignments": {
"assignments": [
{
"name": "url",
"type": "string",
"value": "={{ $('Loop Over Store Sources').item.json.url }}"
},
{
"name": "message",
"type": "string",
"value": "={{ $json.error?.message || $json.message }}"
},
{
"name": "occurredAt",
"type": "string",
"value": "={{ $now.toISO() }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "log-extraction-error",
"name": "Log Extraction Error",
"type": "n8n-nodes-base.googleSheets",
"position": [
1120,
340
],
"parameters": {
"columns": {
"value": {},
"schema": [],
"mappingMode": "autoMapInputData",
"matchingColumns": []
},
"resource": "sheet",
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "name",
"value": "Extraction Errors"
},
"documentId": {
"__rl": true,
"mode": "url",
"value": "https://docs.google.com/spreadsheets/d/PLACEHOLDER/edit"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 4.5
},
{
"id": "clean-html",
"name": "Clean HTML",
"type": "n8n-nodes-base.code",
"position": [
1120,
60
],
"parameters": {
"jsCode": "const MAX_CHARS = 100000;\nconst raw = $input.item.json.html || '';\nlet cleaned = raw\n .replace(/<script[\\s\\S]*?<\\/script>/gi, '')\n .replace(/<style[\\s\\S]*?<\\/style>/gi, '')\n .replace(/<svg[\\s\\S]*?<\\/svg>/gi, '')\n .replace(/<!--[\\s\\S]*?-->/g, '')\n .replace(/\\s+/g, ' ')\n .trim();\nif (cleaned.length > MAX_CHARS) {\n cleaned = cleaned.slice(0, MAX_CHARS);\n}\nreturn [{ json: { url: $input.item.json.url, cleanedHtml: cleaned } }];"
},
"typeVersion": 2
},
{
"id": "extract-product-fields",
"name": "Extract Product Fields",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
1400,
60
],
"parameters": {
"text": "={{ $json.cleanedHtml }}",
"schemaType": "manual",
"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"products\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"productName\": { \"type\": \"string\" },\n \"brand\": { \"type\": \"string\" },\n \"category\": { \"type\": \"string\" },\n \"sku\": { \"type\": \"string\" },\n \"currentPrice\": { \"type\": \"string\" },\n \"oldPrice\": { \"type\": \"string\" },\n \"discount\": { \"type\": \"string\" },\n \"currency\": { \"type\": \"string\" },\n \"availability\": { \"type\": \"string\" },\n \"rating\": { \"type\": \"string\" },\n \"reviews\": { \"type\": \"string\" },\n \"productUrl\": { \"type\": \"string\" },\n \"imageUrl\": { \"type\": \"string\" },\n \"shipping\": { \"type\": \"string\" },\n \"description\": { \"type\": \"string\" }\n }\n }\n }\n }\n}"
},
"typeVersion": 1
},
{
"id": "extraction-model",
"name": "Extraction Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1400,
260
],
"parameters": {
"model": "gpt-4o-mini",
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "split-products",
"name": "Split Products",
"type": "n8n-nodes-base.splitOut",
"position": [
1680,
60
],
"parameters": {
"fieldToSplitOut": "output.products"
},
"typeVersion": 1
},
{
"id": "save-products",
"name": "Save Products",
"type": "n8n-nodes-base.googleSheets",
"position": [
1960,
60
],
"parameters": {
"columns": {
"value": {},
"schema": [],
"mappingMode": "autoMapInputData",
"matchingColumns": [
"productUrl"
]
},
"resource": "sheet",
"operation": "appendOrUpdate",
"sheetName": {
"__rl": true,
"mode": "name",
"value": "Products"
},
"documentId": {
"__rl": true,
"mode": "url",
"value": "https://docs.google.com/spreadsheets/d/PLACEHOLDER/edit"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 4.5
}
],
"active": false,
"settings": {
"timezone": "UTC",
"executionOrder": "v1",
"executionTimeout": 300,
"saveManualExecutions": true
},
"connections": {
"Clean HTML": {
"main": [
[
{
"node": "Extract Product Fields",
"type": "main",
"index": 0
}
]
]
},
"Get Page HTML": {
"main": [
[
{
"node": "Check for API Error",
"type": "main",
"index": 0
}
],
[
{
"node": "Build Error Record",
"type": "main",
"index": 0
}
]
]
},
"Save Products": {
"main": [
[
{
"node": "Loop Over Store Sources",
"type": "main",
"index": 0
}
]
]
},
"Split Products": {
"main": [
[
{
"node": "Save Products",
"type": "main",
"index": 0
}
]
]
},
"Extraction Model": {
"ai_languageModel": [
[
{
"node": "Extract Product Fields",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Build Error Record": {
"main": [
[
{
"node": "Log Extraction Error",
"type": "main",
"index": 0
}
]
]
},
"Read Store Sources": {
"main": [
[
{
"node": "Loop Over Store Sources",
"type": "main",
"index": 0
}
]
]
},
"Check for API Error": {
"main": [
[
{
"node": "Build Error Record",
"type": "main",
"index": 0
}
],
[
{
"node": "Clean HTML",
"type": "main",
"index": 0
}
]
]
},
"Log Extraction Error": {
"main": [
[
{
"node": "Loop Over Store Sources",
"type": "main",
"index": 0
}
]
]
},
"Extract Product Fields": {
"main": [
[
{
"node": "Split Products",
"type": "main",
"index": 0
}
]
]
},
"When Every Day at 11AM": {
"main": [
[
{
"node": "Read Store Sources",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Store Sources": {
"main": [
[
{
"node": "All Sources Processed",
"type": "main",
"index": 0
}
],
[
{
"node": "Get Page HTML",
"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.
googleSheetsOAuth2ApiopenAiApisnapshotSiteApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
This workflow runs daily, reads e-commerce category URLs from Google Sheets, captures fully rendered HTML with Snapshot Site, uses an OpenAI chat model to extract structured product data, and upserts the results back into Google Sheets while logging capture/extraction errors to…
Source: https://n8n.io/workflows/17774/ — 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.
This workflow runs daily, reads real estate listing URLs from Google Sheets, captures rendered HTML with Snapshot Site, extracts structured listing details using OpenAI via n8n’s Information Extractor
Google Sheets, N8N Nodes Snapshot Site, Information Extractor +1
This workflow runs daily, reads business-directory page URLs from Google Sheets, captures fully rendered HTML via Snapshot Site, uses OpenAI (via n8n’s Information Extractor) to extract structured bus
Google Sheets, N8N Nodes Snapshot Site, Information Extractor +1
This workflow runs daily, captures fully rendered careers pages with Snapshot Site, uses an OpenAI chat model to extract structured job-offer fields, and writes the results to Google Sheets while logg
Google Sheets, N8N Nodes Snapshot Site, Information Extractor +1
This workflow runs daily to read event page URLs from Google Sheets, capture fully rendered HTML with Snapshot Site, extract structured event details using OpenAI via n8n’s Information Extractor, and
Google Sheets, N8N Nodes Snapshot Site, Information Extractor +1
Sign up for Decodo — get better pricing here
@Decodo/N8N Nodes Decodo, Information Extractor, OpenAI Chat +4