Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
日本語の概要は準備中です。原文の説明を表示しています。
Extract organization name, registration number, status, registration date, and officers from a public registry page.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Compliance teams use this recipe to convert public registry pages into structured facts for onboarding and audit workflows. Extract company identity, registration status, dates, and officers.
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/registry/acme-ltd"
},
"schema": {
"fields": [
{
"name": "organization_name",
"type": "TEXT",
"description": "Registered organization name"
},
{
"name": "registration_number",
"type": "TEXT",
"description": "Registry identifier"
},
{
"name": "status",
"type": "TEXT",
"description": "Current registry status"
},
{
"name": "registration_date",
"type": "DATE",
"description": "Registration date"
},
{
"name": "officers",
"type": "ARRAY",
"description": "Listed officers or directors",
"fields": [
{
"name": "officer",
"type": "TEXT",
"description": "Officer name and role"
}
]
}
]
}
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
const result = await client.extractWebsite({
file: {
type: "url",
url: "https://example.com/registry/acme-ltd",
},
schema: {
"fields": [
{
"name": "organization_name",
"type": "TEXT",
"description": "Registered organization name"
},
{
"name": "registration_number",
"type": "TEXT",
"description": "Registry identifier"
},
{
"name": "status",
"type": "TEXT",
"description": "Current registry status"
},
{
"name": "registration_date",
"type": "DATE",
"description": "Registration date"
},
{
"name": "officers",
"type": "ARRAY",
"description": "Listed officers or directors",
"fields": [
{
"name": "officer",
"type": "TEXT",
"description": "Officer name and role"
}
]
}
]
},
});
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
result = client.extract_website(
file={
"type": "url",
"url": "https://example.com/registry/acme-ltd",
},
schema={
"fields": [
{
"name": "organization_name",
"type": "TEXT",
"description": "Registered organization name"
},
{
"name": "registration_number",
"type": "TEXT",
"description": "Registry identifier"
},
{
"name": "status",
"type": "TEXT",
"description": "Current registry status"
},
{
"name": "registration_date",
"type": "DATE",
"description": "Registration date"
},
{
"name": "officers",
"type": "ARRAY",
"description": "Listed officers or directors",
"fields": [
{
"name": "officer",
"type": "TEXT",
"description": "Officer name and role"
}
]
}
]
},
)
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/registry/acme-ltd",
},
Schema: il.ExtractionSchema{
Fields: []any{
il.TextFieldConfig{
Name: "organization_name",
Type: "TEXT",
Description: "Registered organization name",
},
il.TextFieldConfig{
Name: "registration_number",
Type: "TEXT",
Description: "Registry identifier",
},
il.TextFieldConfig{
Name: "status",
Type: "TEXT",
Description: "Current registry status",
},
il.DateFieldConfig{
Name: "registration_date",
Type: "DATE",
Description: "Registration date",
},
il.ArrayFieldConfig{
Name: "officers",
Type: "ARRAY",
Description: "Listed officers or directors",
Fields: []any{
il.TextFieldConfig{
Name: "officer",
Type: "TEXT",
Description: "Officer name and role",
},
},
},
},
},
})
if err != nil {
panic(err)
}
_ = result
}
{
"name": "Extract Public Registry Page",
"nodes": [
{
"parameters": {
"content": "## Extract Public Registry Page\n\nCompliance teams use this recipe to convert public registry pages into structured facts for onboarding and audit workflows. Extract company identity, registration status, dates, and officers.\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": "576db1cb-e2f7-59c7-bc9a-9f50532b2446",
"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": "5fb7f61e-ded3-59b1-9c95-85ad62f64ace",
"name": "Step 1 Note"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "f8f3490f-0e62-5ff9-9ec2-dcc14c4d0494",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "websiteExtraction",
"fileUrl": "https://example.com/registry/acme-ltd",
"schemaInputMode": "rawJson",
"schemaJson": "{\"fields\":[{\"name\":\"organization_name\",\"type\":\"TEXT\",\"description\":\"Registered organization name\"},{\"name\":\"registration_number\",\"type\":\"TEXT\",\"description\":\"Registry identifier\"},{\"name\":\"status\",\"type\":\"TEXT\",\"description\":\"Current registry status\"},{\"name\":\"registration_date\",\"type\":\"DATE\",\"description\":\"Registration date\"},{\"name\":\"officers\",\"type\":\"ARRAY\",\"description\":\"Listed officers or directors\",\"fields\":[{\"name\":\"officer\",\"type\":\"TEXT\",\"description\":\"Officer name and role\"}]}]}"
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
520,
300
],
"id": "b0373126-cd56-57b6-a0a5-5e745be85bba",
"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:
- organization_name (TEXT): Registered organization name
- registration_number (TEXT): Registry identifier
- status (TEXT): Current registry status
- registration_date (DATE): Registration date
- officers (ARRAY): Listed officers or directors. Each item has officer (TEXT)
{
"success": true,
"data": {
"organization_name": {
"type": "TEXT",
"value": "Acme Ltd",
"confidence": 0.97,
"citations": [
"Acme Ltd"
],
"source": "website.html"
},
"registration_number": {
"type": "TEXT",
"value": "HRB 123456",
"confidence": 0.95,
"citations": [
"Registration number HRB 123456"
],
"source": "website.html"
},
"status": {
"type": "TEXT",
"value": "Active",
"confidence": 0.93,
"citations": [
"Status: Active"
],
"source": "website.html"
}
}
}
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
日本語の概要は準備中です。原文の説明を表示しています。
Compress an image to fit within a specific file size in bytes using quality-first compression.
日本語の概要は準備中です。原文の説明を表示しています。
Convert a contract PDF to clean markdown for clause extraction or LLM analysis.
日本語の概要は準備中です。原文の説明を表示しています。
Convert external documents — specs, contracts, reports — to markdown for knowledge base ingestion.
日本語の概要は準備中です。原文の説明を表示しています。
Convert a document to clean markdown suitable for chunking and embedding in a RAG pipeline.
日本語の概要は準備中です。原文の説明を表示しています。
Convert an image between PNG, JPEG, and WebP formats with quality control for web optimization.
日本語の概要は準備中です。原文の説明を表示しています。