Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
中文简介正在准备中。当前显示原文说明。
iterationlayer/skills42026年6月9日 更新
免费在 GitHub 公开
extract-rent-roll-data
Extract property, unit, tenant, lease dates, rents, deposits, and occupancy fields from rent rolls.
中文简介正在准备中。当前显示原文说明。
集成工具n8n
查看安装方法包含的文件（1）
- SKILL.md18.8 KB
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
Extract Rent Roll Data
Real estate teams use this recipe to extract rent roll fields into structured portfolio data for underwriting, asset management, and lender reporting.
APIs Used
Document Extraction (1 credit per page)
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/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
Response
{
"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"
]
}
}
}
Links
评价
还没有评价。欢迎分享你的使用感受。
评论
无需登录即可发表。欢迎分享使用感受、提问，或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
同一仓库的技能
Compress an image to fit within a specific file size in bytes using quality-first compression.
中文简介正在准备中。当前显示原文说明。
iterationlayer/skills42026年6月9日 更新
Convert a contract PDF to clean markdown for clause extraction or LLM analysis.
中文简介正在准备中。当前显示原文说明。
iterationlayer/skills42026年6月9日 更新
Convert external documents — specs, contracts, reports — to markdown for knowledge base ingestion.
中文简介正在准备中。当前显示原文说明。
iterationlayer/skills42026年6月9日 更新
Convert a document to clean markdown suitable for chunking and embedding in a RAG pipeline.
中文简介正在准备中。当前显示原文说明。
iterationlayer/skills42026年6月9日 更新
Convert an image between PNG, JPEG, and WebP formats with quality control for web optimization.
中文简介正在准备中。当前显示原文说明。
iterationlayer/skills42026年6月9日 更新