Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Extract menu item names, prices, descriptions, and dietary notes from a public restaurant menu page.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Restaurant operators and delivery platforms use this recipe to convert public menu pages into structured menu data. Extract dishes, prices, descriptions, categories, and dietary notes from one page.
Website Extraction (1 credit per website extraction)
You need an Iteration Layer API key. Get one at platform.iterationlayer.com during the 7-day trial.
For full integration guidance (SDKs, auth, MCP, error handling), see the Iteration Layer Integration Guide.
curl -X POST https://api.iterationlayer.com/website-extraction/v1/extract \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"file": {
"type": "url",
"url": "https://example.com/menu"
},
"schema": {
"fields": [
{
"name": "menu_items",
"type": "ARRAY",
"description": "Menu items listed on the page",
"fields": [
{
"name": "item_name",
"type": "TEXT",
"description": "Menu item name"
},
{
"name": "category",
"type": "TEXT",
"description": "Menu category"
},
{
"name": "price",
"type": "CURRENCY_AMOUNT",
"description": "Menu item price"
},
{
"name": "description",
"type": "TEXTAREA",
"description": "Menu item description"
},
{
"name": "dietary_notes",
"type": "TEXT",
"description": "Dietary labels such as vegan or gluten-free"
}
]
}
]
}
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
const result = await client.extractWebsite({
file: {
type: "url",
url: "https://example.com/menu",
},
schema: {
"fields": [
{
"name": "menu_items",
"type": "ARRAY",
"description": "Menu items listed on the page",
"fields": [
{
"name": "item_name",
"type": "TEXT",
"description": "Menu item name"
},
{
"name": "category",
"type": "TEXT",
"description": "Menu category"
},
{
"name": "price",
"type": "CURRENCY_AMOUNT",
"description": "Menu item price"
},
{
"name": "description",
"type": "TEXTAREA",
"description": "Menu item description"
},
{
"name": "dietary_notes",
"type": "TEXT",
"description": "Dietary labels such as vegan or gluten-free"
}
]
}
]
},
});
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
result = client.extract_website(
file={
"type": "url",
"url": "https://example.com/menu",
},
schema={
"fields": [
{
"name": "menu_items",
"type": "ARRAY",
"description": "Menu items listed on the page",
"fields": [
{
"name": "item_name",
"type": "TEXT",
"description": "Menu item name"
},
{
"name": "category",
"type": "TEXT",
"description": "Menu category"
},
{
"name": "price",
"type": "CURRENCY_AMOUNT",
"description": "Menu item price"
},
{
"name": "description",
"type": "TEXTAREA",
"description": "Menu item description"
},
{
"name": "dietary_notes",
"type": "TEXT",
"description": "Dietary labels such as vegan or gluten-free"
}
]
}
]
},
)
package main
import il "github.com/iterationlayer/sdk-go"
func main() {
client := il.NewClient("YOUR_API_KEY")
result, err := client.ExtractWebsite(il.ExtractWebsiteRequest{
File: il.UrlFileInput{
Type: "url",
Url: "https://example.com/menu",
},
Schema: il.ExtractionSchema{
Fields: []any{
il.ArrayFieldConfig{
Name: "menu_items",
Type: "ARRAY",
Description: "Menu items listed on the page",
Fields: []any{
il.TextFieldConfig{
Name: "item_name",
Type: "TEXT",
Description: "Menu item name",
},
il.TextFieldConfig{
Name: "category",
Type: "TEXT",
Description: "Menu category",
},
il.CurrencyAmountFieldConfig{
Name: "price",
Type: "CURRENCY_AMOUNT",
Description: "Menu item price",
},
il.TextareaFieldConfig{
Name: "description",
Type: "TEXTAREA",
Description: "Menu item description",
},
il.TextFieldConfig{
Name: "dietary_notes",
Type: "TEXT",
Description: "Dietary labels such as vegan or gluten-free",
},
},
},
},
},
})
if err != nil {
panic(err)
}
_ = result
}
{
"name": "Extract Restaurant Menu from Website",
"nodes": [
{
"parameters": {
"content": "## Extract Restaurant Menu from Website\n\nRestaurant operators and delivery platforms use this recipe to convert public menu pages into structured menu data. Extract dishes, prices, descriptions, categories, and dietary notes from one page.\n\n**Note:** This workflow uses the Iteration Layer community node (`n8n-nodes-iterationlayer`). Install it via Settings > Community Nodes before importing. Self-hosted n8n only.",
"height": 280,
"width": 500,
"color": 2
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
200,
40
],
"id": "fc2184f4-0e68-5159-9780-77c40c7b98ef",
"name": "Overview"
},
{
"parameters": {
"content": "### Step 1: Extract Website Data\nResource: **Website Extraction**\n\nConfigure the public website URL and schema below, then connect your credentials.",
"height": 160,
"width": 320,
"color": 6
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
475,
100
],
"id": "ee1432e8-a3b8-558f-8fbb-6e780a05ec9d",
"name": "Step 1 Note"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "a52c9351-cb97-5642-9a0e-1bf92f5d4826",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "websiteExtraction",
"fileUrl": "https://example.com/menu",
"schemaInputMode": "rawJson",
"schemaJson": "{\"fields\":[{\"name\":\"menu_items\",\"type\":\"ARRAY\",\"description\":\"Menu items listed on the page\",\"fields\":[{\"name\":\"item_name\",\"type\":\"TEXT\",\"description\":\"Menu item name\"},{\"name\":\"category\",\"type\":\"TEXT\",\"description\":\"Menu category\"},{\"name\":\"price\",\"type\":\"CURRENCY_AMOUNT\",\"description\":\"Menu item price\"},{\"name\":\"description\",\"type\":\"TEXTAREA\",\"description\":\"Menu item description\"},{\"name\":\"dietary_notes\",\"type\":\"TEXT\",\"description\":\"Dietary labels such as vegan or gluten-free\"}]}]}"
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
520,
300
],
"id": "2552c7e6-c739-5ca5-851d-fe90c2c4ac95",
"name": "Extract Website Data",
"credentials": {
"iterationLayerApi": {
"id": "1",
"name": "Iteration Layer API"
}
}
}
],
"connections": {
"Manual Trigger": {
"main": [
[
{
"node": "Extract Website Data",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
}
}
Extract structured data from the public website page at [website URL]. Use the extract_website tool with this schema:
- menu_items (ARRAY): Menu items listed on the page. Each item has item_name (TEXT), category (TEXT), price (CURRENCY_AMOUNT), description (TEXTAREA), dietary_notes (TEXT)
{
"success": true,
"data": {
"menu_items": {
"type": "ARRAY",
"value": [
{
"item_name": "Roasted Vegetable Bowl",
"category": "Mains",
"price": 14.5,
"description": "Seasonal vegetables with lemon tahini",
"dietary_notes": "Vegan"
}
],
"confidence": 0.92,
"citations": [
"Roasted Vegetable Bowl - Vegan - 14.50"
],
"source": "website.html"
}
}
}
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Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Compress an image to fit within a specific file size in bytes using quality-first compression.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert a contract PDF to clean markdown for clause extraction or LLM analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert external documents — specs, contracts, reports — to markdown for knowledge base ingestion.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert a document to clean markdown suitable for chunking and embedding in a RAG pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert an image between PNG, JPEG, and WebP formats with quality control for web optimization.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.