iterationlayer Extract Rental Application
Property managers and landlords use this recipe to digitize a tenant application. Upload a rental application PDF and receive structured JSON with applicant info, employment history, and references — ready for your tenant screening workflow.
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": "rental-application.pdf",
"url": "https://example.com/applications/rental-application.pdf"
}
],
"schema": {
"fields": [
{
"name": "applicant_name",
"type": "TEXT",
"description": "Full name of the applicant"
},
{
"name": "current_address",
"type": "ADDRESS",
"description": "Applicant current address"
},
{
"name": "employer",
"type": "TEXT",
"description": "Current employer name"
},
{
"name": "monthly_income",
"type": "CURRENCY_AMOUNT",
"description": "Gross monthly income"
},
{
"name": "move_in_date",
"type": "DATE",
"description": "Requested move-in date"
},
{
"name": "previous_landlord",
"type": "TEXT",
"description": "Previous landlord name and contact"
}
]
}
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
const result = await client.extractDocument({
files: [
{
type: "url",
name: "rental-application.pdf",
url: "https://example.com/applications/rental-application.pdf",
},
],
schema: {
fields: [
{
name: "applicant_name",
type: "TEXT",
description: "Full name of the applicant",
},
{
name: "current_address",
type: "ADDRESS",
description: "Applicant current address",
},
{
name: "employer",
type: "TEXT",
description: "Current employer name",
},
{
name: "monthly_income",
type: "CURRENCY_AMOUNT",
description: "Gross monthly income",
},
{
name: "move_in_date",
type: "DATE",
description: "Requested move-in date",
},
{
name: "previous_landlord",
type: "TEXT",
description: "Previous landlord name and contact",
},
],
},
});
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
result = client.extract_document(
files=[
{
"type": "url",
"name": "rental-application.pdf",
"url": "https://example.com/applications/rental-application.pdf",
}
],
schema={
"fields": [
{
"name": "applicant_name",
"type": "TEXT",
"description": "Full name of the applicant",
},
{
"name": "current_address",
"type": "ADDRESS",
"description": "Applicant current address",
},
{
"name": "employer",
"type": "TEXT",
"description": "Current employer name",
},
{
"name": "monthly_income",
"type": "CURRENCY_AMOUNT",
"description": "Gross monthly income",
},
{
"name": "move_in_date",
"type": "DATE",
"description": "Requested move-in date",
},
{
"name": "previous_landlord",
"type": "TEXT",
"description": "Previous landlord name and contact",
},
]
},
)
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: "rental-application.pdf",
Url: "https://example.com/applications/rental-application.pdf",
},
},
Schema: il.ExtractionSchema{
Fields: []any{
il.TextFieldConfig{
Name: "applicant_name",
Type: "TEXT",
Description: "Full name of the applicant",
},
il.AddressFieldConfig{
Name: "current_address",
Type: "ADDRESS",
Description: "Applicant current address",
},
il.TextFieldConfig{
Name: "employer",
Type: "TEXT",
Description: "Current employer name",
},
il.CurrencyAmountFieldConfig{
Name: "monthly_income",
Type: "CURRENCY_AMOUNT",
Description: "Gross monthly income",
},
il.DateFieldConfig{
Name: "move_in_date",
Type: "DATE",
Description: "Requested move-in date",
},
il.TextFieldConfig{
Name: "previous_landlord",
Type: "TEXT",
Description: "Previous landlord name and contact",
},
},
},
})
if err != nil {
panic(err)
}
_ = result
}
{
"name": "Extract Rental Application",
"nodes": [
{
"parameters": {
"content": "## Extract Rental Application\n\nProperty managers and landlords use this recipe to digitize a tenant application. Upload a rental application PDF and receive structured JSON with applicant info, employment history, and references \u2014 ready for your tenant screening workflow.\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": "cbaaf4a9-f942-493c-a2f9-2a9242af4b68",
"name": "Overview"
},
{
"parameters": {
"content": "### Step 1: Extract Data\nResource: **Document Extraction**\n\nConfigure the Document Extraction parameters below, then connect your credentials.",
"height": 160,
"width": 300,
"color": 6
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
475,
100
],
"id": "f8da1feb-bd3c-4cbe-8148-38d28174831e",
"name": "Step 1 Note"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "e3f4a5b6-c7d8-9012-efab-123456789efa",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "documentExtraction",
"schemaInputMode": "rawJson",
"schemaJson": "{\"fields\":[{\"name\":\"applicant_name\",\"type\":\"TEXT\",\"description\":\"Full name of the applicant\"},{\"name\":\"current_address\",\"type\":\"ADDRESS\",\"description\":\"Applicant current address\"},{\"name\":\"employer\",\"type\":\"TEXT\",\"description\":\"Current employer name\"},{\"name\":\"monthly_income\",\"type\":\"CURRENCY_AMOUNT\",\"description\":\"Gross monthly income\"},{\"name\":\"move_in_date\",\"type\":\"DATE\",\"description\":\"Requested move-in date\"},{\"name\":\"previous_landlord\",\"type\":\"TEXT\",\"description\":\"Previous landlord name and contact\"}]}",
"files": {
"fileValues": [
{
"fileInputMode": "url",
"fileName": "rental-application.pdf",
"fileUrl": "https://example.com/applications/rental-application.pdf"
}
]
}
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
500,
300
],
"id": "f4a5b6c7-d8e9-0123-fabc-234567890fab",
"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 rental application data from the file at [file URL]. Use the extract_document tool with these fields:
- applicant_name (TEXT): Full name of the applicant
- current_address (ADDRESS): Applicant current address
- employer (TEXT): Current employer name
- monthly_income (CURRENCY_AMOUNT): Gross monthly income
- move_in_date (DATE): Requested move-in date
- previous_landlord (TEXT): Previous landlord name and contact
Response
{
"success": true,
"data": {
"applicant_name": {
"value": "David Kim",
"confidence": 0.99,
"citations": ["Applicant: David Kim"]
},
"current_address": {
"value": {
"street": "742 Evergreen Terrace",
"city": "Portland",
"region": "OR",
"postal_code": "97201",
"country": "US"
},
"confidence": 0.95,
"citations": ["742 Evergreen Terrace, Portland, OR 97201"]
},
"employer": {
"value": "Cascade Health Systems",
"confidence": 0.97,
"citations": ["Employer: Cascade Health Systems"]
},
"monthly_income": {
"value": {
"amount": "6,200.00",
"currency": "USD"
},
"confidence": 0.96,
"citations": ["Gross Monthly Income: $6,200"]
},
"move_in_date": {
"value": "2026-05-01",
"confidence": 0.98,
"citations": ["Desired Move-In: May 1, 2026"]
},
"previous_landlord": {
"value": "Janet Morales, (503) 555-0147",
"confidence": 0.94,
"citations": ["Previous Landlord: Janet Morales (503) 555-0147"]
}
}
}