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 property, unit, tenant, lease dates, rents, deposits, and occupancy fields from rent rolls.
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。
Real estate teams use this recipe to extract rent roll fields into structured portfolio data for underwriting, asset management, and lender reporting.
Document Extraction (1 credit per page)
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/document-extraction/v1/extract \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"files": [
{
"type": "url",
"name": "rent-roll.pdf",
"url": "https://example.com/documents/rent-roll-sample.pdf"
}
],
"schema": {
"fields": [
{
"name": "property_name",
"type": "TEXT",
"description": "Property name"
},
{
"name": "property_address",
"type": "ADDRESS",
"description": "Property address"
},
{
"name": "as_of_date",
"type": "DATE",
"description": "Rent roll as-of date"
},
{
"name": "units",
"type": "ARRAY",
"description": "Unit-level rent roll rows",
"fields": [
{
"name": "unit_number",
"type": "TEXT",
"description": "Unit number"
},
{
"name": "tenant_name",
"type": "TEXT",
"description": "Tenant name"
},
{
"name": "unit_type",
"type": "TEXT",
"description": "Unit type or floor plan"
},
{
"name": "square_feet",
"type": "DECIMAL",
"description": "Unit square feet"
},
{
"name": "lease_start_date",
"type": "DATE",
"description": "Lease start date"
},
{
"name": "lease_end_date",
"type": "DATE",
"description": "Lease end date"
},
{
"name": "market_rent",
"type": "CURRENCY_AMOUNT",
"description": "Market rent"
},
{
"name": "current_rent",
"type": "CURRENCY_AMOUNT",
"description": "Current contract rent"
},
{
"name": "security_deposit",
"type": "CURRENCY_AMOUNT",
"description": "Security deposit"
},
{
"name": "occupancy_status",
"type": "TEXT",
"description": "Occupied, vacant, notice, or model status"
}
]
},
{
"name": "total_monthly_rent",
"type": "CURRENCY_AMOUNT",
"description": "Total monthly rent"
},
{
"name": "occupancy_rate_percent",
"type": "DECIMAL",
"description": "Occupancy rate percentage"
}
]
}
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
const result = await client.extractDocument({
"files": [
{
"type": "url",
"name": "rent-roll.pdf",
"url": "https://example.com/documents/rent-roll-sample.pdf"
}
],
"schema": {
"fields": [
{
"name": "property_name",
"type": "TEXT",
"description": "Property name"
},
{
"name": "property_address",
"type": "ADDRESS",
"description": "Property address"
},
{
"name": "as_of_date",
"type": "DATE",
"description": "Rent roll as-of date"
},
{
"name": "units",
"type": "ARRAY",
"description": "Unit-level rent roll rows",
"fields": [
{
"name": "unit_number",
"type": "TEXT",
"description": "Unit number"
},
{
"name": "tenant_name",
"type": "TEXT",
"description": "Tenant name"
},
{
"name": "unit_type",
"type": "TEXT",
"description": "Unit type or floor plan"
},
{
"name": "square_feet",
"type": "DECIMAL",
"description": "Unit square feet"
},
{
"name": "lease_start_date",
"type": "DATE",
"description": "Lease start date"
},
{
"name": "lease_end_date",
"type": "DATE",
"description": "Lease end date"
},
{
"name": "market_rent",
"type": "CURRENCY_AMOUNT",
"description": "Market rent"
},
{
"name": "current_rent",
"type": "CURRENCY_AMOUNT",
"description": "Current contract rent"
},
{
"name": "security_deposit",
"type": "CURRENCY_AMOUNT",
"description": "Security deposit"
},
{
"name": "occupancy_status",
"type": "TEXT",
"description": "Occupied, vacant, notice, or model status"
}
]
},
{
"name": "total_monthly_rent",
"type": "CURRENCY_AMOUNT",
"description": "Total monthly rent"
},
{
"name": "occupancy_rate_percent",
"type": "DECIMAL",
"description": "Occupancy rate percentage"
}
]
}
});
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
result = client.extract_document(**{
"files": [
{
"type": "url",
"name": "rent-roll.pdf",
"url": "https://example.com/documents/rent-roll-sample.pdf"
}
],
"schema": {
"fields": [
{
"name": "property_name",
"type": "TEXT",
"description": "Property name"
},
{
"name": "property_address",
"type": "ADDRESS",
"description": "Property address"
},
{
"name": "as_of_date",
"type": "DATE",
"description": "Rent roll as-of date"
},
{
"name": "units",
"type": "ARRAY",
"description": "Unit-level rent roll rows",
"fields": [
{
"name": "unit_number",
"type": "TEXT",
"description": "Unit number"
},
{
"name": "tenant_name",
"type": "TEXT",
"description": "Tenant name"
},
{
"name": "unit_type",
"type": "TEXT",
"description": "Unit type or floor plan"
},
{
"name": "square_feet",
"type": "DECIMAL",
"description": "Unit square feet"
},
{
"name": "lease_start_date",
"type": "DATE",
"description": "Lease start date"
},
{
"name": "lease_end_date",
"type": "DATE",
"description": "Lease end date"
},
{
"name": "market_rent",
"type": "CURRENCY_AMOUNT",
"description": "Market rent"
},
{
"name": "current_rent",
"type": "CURRENCY_AMOUNT",
"description": "Current contract rent"
},
{
"name": "security_deposit",
"type": "CURRENCY_AMOUNT",
"description": "Security deposit"
},
{
"name": "occupancy_status",
"type": "TEXT",
"description": "Occupied, vacant, notice, or model status"
}
]
},
{
"name": "total_monthly_rent",
"type": "CURRENCY_AMOUNT",
"description": "Total monthly rent"
},
{
"name": "occupancy_rate_percent",
"type": "DECIMAL",
"description": "Occupancy rate percentage"
}
]
}
})
package main
import il "github.com/iterationlayer/sdk-go"
func main() {
client := il.NewClient("YOUR_API_KEY")
result, err := client.ExtractDocument(il.ExtractDocumentRequest{
Files: []il.FileInput{
il.FileInput{
Type: "url",
Name: "rent-roll.pdf",
Url: "https://example.com/documents/rent-roll-sample.pdf",
},
},
Schema: il.ExtractionSchema{
Fields: []any{
il.TextFieldConfig{
Name: "property_name",
Type: "TEXT",
Description: "Property name",
},
il.AddressFieldConfig{
Name: "property_address",
Type: "ADDRESS",
Description: "Property address",
},
il.DateFieldConfig{
Name: "as_of_date",
Type: "DATE",
Description: "Rent roll as-of date",
},
il.ArrayFieldConfig{
Name: "units",
Type: "ARRAY",
Description: "Unit-level rent roll rows",
Fields: []any{
il.TextFieldConfig{
Name: "unit_number",
Type: "TEXT",
Description: "Unit number",
},
il.TextFieldConfig{
Name: "tenant_name",
Type: "TEXT",
Description: "Tenant name",
},
il.TextFieldConfig{
Name: "unit_type",
Type: "TEXT",
Description: "Unit type or floor plan",
},
il.DecimalFieldConfig{
Name: "square_feet",
Type: "DECIMAL",
Description: "Unit square feet",
},
il.DateFieldConfig{
Name: "lease_start_date",
Type: "DATE",
Description: "Lease start date",
},
il.DateFieldConfig{
Name: "lease_end_date",
Type: "DATE",
Description: "Lease end date",
},
il.CurrencyAmountFieldConfig{
Name: "market_rent",
Type: "CURRENCY_AMOUNT",
Description: "Market rent",
},
il.CurrencyAmountFieldConfig{
Name: "current_rent",
Type: "CURRENCY_AMOUNT",
Description: "Current contract rent",
},
il.CurrencyAmountFieldConfig{
Name: "security_deposit",
Type: "CURRENCY_AMOUNT",
Description: "Security deposit",
},
il.TextFieldConfig{
Name: "occupancy_status",
Type: "TEXT",
Description: "Occupied, vacant, notice, or model status",
},
},
},
il.CurrencyAmountFieldConfig{
Name: "total_monthly_rent",
Type: "CURRENCY_AMOUNT",
Description: "Total monthly rent",
},
il.DecimalFieldConfig{
Name: "occupancy_rate_percent",
Type: "DECIMAL",
Description: "Occupancy rate percentage",
},
},
},
})
if err != nil {
panic(err)
}
_ = result
}
{
"name": "Extract Rent Roll Data",
"nodes": [
{
"parameters": {
"content": "## Extract Rent Roll Data\n\nReal estate teams use this recipe to extract rent roll fields into structured portfolio data for underwriting, asset management, and lender reporting.\n\n**Note:** This workflow uses the Iteration Layer community node (`n8n-nodes-iterationlayer`). Install it via Settings > Community Nodes on self-hosted n8n, or add it directly on n8n Cloud with Verified Community Nodes enabled.",
"height": 280,
"width": 500,
"color": 2
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
200,
40
],
"id": "extract-rent-roll-data-overview",
"name": "Overview"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "extract-rent-roll-data-trigger",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "documentExtraction",
"schemaInputMode": "rawJson",
"schemaJson": "{\n \"fields\": [\n {\n \"name\": \"property_name\",\n \"type\": \"TEXT\",\n \"description\": \"Property name\"\n },\n {\n \"name\": \"property_address\",\n \"type\": \"ADDRESS\",\n \"description\": \"Property address\"\n },\n {\n \"name\": \"as_of_date\",\n \"type\": \"DATE\",\n \"description\": \"Rent roll as-of date\"\n },\n {\n \"name\": \"units\",\n \"type\": \"ARRAY\",\n \"description\": \"Unit-level rent roll rows\",\n \"fields\": [\n {\n \"name\": \"unit_number\",\n \"type\": \"TEXT\",\n \"description\": \"Unit number\"\n },\n {\n \"name\": \"tenant_name\",\n \"type\": \"TEXT\",\n \"description\": \"Tenant name\"\n },\n {\n \"name\": \"unit_type\",\n \"type\": \"TEXT\",\n \"description\": \"Unit type or floor plan\"\n },\n {\n \"name\": \"square_feet\",\n \"type\": \"DECIMAL\",\n \"description\": \"Unit square feet\"\n },\n {\n \"name\": \"lease_start_date\",\n \"type\": \"DATE\",\n \"description\": \"Lease start date\"\n },\n {\n \"name\": \"lease_end_date\",\n \"type\": \"DATE\",\n \"description\": \"Lease end date\"\n },\n {\n \"name\": \"market_rent\",\n \"type\": \"CURRENCY_AMOUNT\",\n \"description\": \"Market rent\"\n },\n {\n \"name\": \"current_rent\",\n \"type\": \"CURRENCY_AMOUNT\",\n \"description\": \"Current contract rent\"\n },\n {\n \"name\": \"security_deposit\",\n \"type\": \"CURRENCY_AMOUNT\",\n \"description\": \"Security deposit\"\n },\n {\n \"name\": \"occupancy_status\",\n \"type\": \"TEXT\",\n \"description\": \"Occupied, vacant, notice, or model status\"\n }\n ]\n },\n {\n \"name\": \"total_monthly_rent\",\n \"type\": \"CURRENCY_AMOUNT\",\n \"description\": \"Total monthly rent\"\n },\n {\n \"name\": \"occupancy_rate_percent\",\n \"type\": \"DECIMAL\",\n \"description\": \"Occupancy rate percentage\"\n }\n ]\n}",
"files": {
"fileValues": [
{
"fileInputMode": "url",
"fileName": "rent-roll.pdf",
"fileUrl": "https://example.com/documents/rent-roll-sample.pdf"
}
]
}
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
500,
300
],
"id": "extract-rent-roll-data-extract",
"name": "Extract Data",
"credentials": {
"iterationLayerApi": {
"id": "1",
"name": "Iteration Layer API"
}
}
}
],
"connections": {
"Manual Trigger": {
"main": [
[
{
"node": "Extract Data",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
}
}
Extract rent roll data from the file at [file URL]. Use the extract_document tool with these fields:
- property_name (TEXT): Property name
- property_address (ADDRESS): Property address
- as_of_date (DATE): Rent roll as-of date
- units (ARRAY): Each with unit_number (TEXT), tenant_name (TEXT), unit_type (TEXT), square_feet (DECIMAL), lease_start_date (DATE), lease_end_date (DATE), market_rent (CURRENCY_AMOUNT), current_rent (CURRENCY_AMOUNT), security_deposit (CURRENCY_AMOUNT), occupancy_status (TEXT)
- total_monthly_rent (CURRENCY_AMOUNT): Total monthly rent
- occupancy_rate_percent (DECIMAL): Occupancy rate percentage
{
"success": true,
"data": {
"property_name": {
"value": "Property Name",
"confidence": 0.97,
"citations": [
"PROPERTY NAME"
]
},
"property_address": {
"value": {
"street": "100 Market Street",
"city": "Berlin",
"postal_code": "10115",
"country": "DE"
},
"confidence": 0.97,
"citations": [
"PROPERTY ADDRESS"
]
},
"as_of_date": {
"value": "2026-04-15",
"confidence": 0.97,
"citations": [
"15 Apr 2026"
]
},
"units": {
"value": [
{
"unit_number": {
"value": "Unit Number",
"confidence": 0.96,
"citations": [
"UNIT NUMBER"
]
},
"tenant_name": {
"value": "Tenant Name",
"confidence": 0.96,
"citations": [
"TENANT NAME"
]
},
"unit_type": {
"value": "Unit Type",
"confidence": 0.96,
"citations": [
"UNIT TYPE"
]
},
"square_feet": {
"value": 12.5,
"confidence": 0.96,
"citations": [
"SQUARE FEET"
]
},
"lease_start_date": {
"value": "2026-04-15",
"confidence": 0.96,
"citations": [
"15 Apr 2026"
]
},
"lease_end_date": {
"value": "2026-04-15",
"confidence": 0.96,
"citations": [
"15 Apr 2026"
]
},
"market_rent": {
"value": {
"amount": "1234.56",
"currency": "EUR"
},
"confidence": 0.96,
"citations": [
"1,234.56"
]
},
"current_rent": {
"value": {
"amount": "1234.56",
"currency": "EUR"
},
"confidence": 0.96,
"citations": [
"1,234.56"
]
},
"security_deposit": {
"value": {
"amount": "1234.56",
"currency": "EUR"
},
"confidence": 0.96,
"citations": [
"1,234.56"
]
},
"occupancy_status": {
"value": "Occupancy Status",
"confidence": 0.96,
"citations": [
"OCCUPANCY STATUS"
]
}
}
],
"confidence": 0.97,
"citations": [
"UNITS"
]
},
"total_monthly_rent": {
"value": {
"amount": "1234.56",
"currency": "EUR"
},
"confidence": 0.97,
"citations": [
"1,234.56"
]
},
"occupancy_rate_percent": {
"value": 12.5,
"confidence": 0.97,
"citations": [
"OCCUPANCY RATE PERCENT"
]
}
}
}
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。