Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
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iterationlayer/skills42026年6月9日 更新
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extract-restaurant-menu-from-website
Extract menu item names, prices, descriptions, and dietary notes from a public restaurant menu page.
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Extract Restaurant Menu from Website
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.
APIs Used
Website Extraction (1 credit per website extraction)
Prerequisites
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.
Implementation
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)
Response
{
"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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