iterationlayer Extract Listing Data and Generate a Brochure
Real estate agencies use this pipeline to turn raw listing PDFs into polished marketing materials — a branded brochure PDF for print and a social media image for Instagram or Facebook — without manual design work.
APIs Used
Document Extraction (1 credit per page), Document Generation (1 credits/request), Image Generation (1 credits/request)
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
# Step 1: Extract listing data
EXTRACTION=$(curl -s -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": "listing-42-oakwood.pdf",
"url": "https://example.com/listings/42-oakwood-drive.pdf"
}
],
"schema": {
"fields": [
{
"name": "property_address",
"type": "TEXT",
"description": "Full street address of the property"
},
{
"name": "city",
"type": "TEXT",
"description": "City or town"
},
{
"name": "listing_price",
"type": "CURRENCY_AMOUNT",
"description": "Asking price"
},
{
"name": "bedrooms",
"type": "INTEGER",
"description": "Number of bedrooms"
},
{
"name": "bathrooms",
"type": "DECIMAL",
"description": "Number of bathrooms"
},
{
"name": "square_footage",
"type": "INTEGER",
"description": "Living area in square feet"
},
{
"name": "year_built",
"type": "INTEGER",
"description": "Year the property was built"
},
{
"name": "description",
"type": "TEXTAREA",
"description": "Marketing description of the property"
},
{
"name": "agent_name",
"type": "TEXT",
"description": "Listing agent name"
},
{
"name": "agent_phone",
"type": "TEXT",
"description": "Listing agent phone number"
}
]
}
}')
# Step 2: Generate a branded PDF brochure
curl -X POST https://api.iterationlayer.com/document-generation/v1/generate \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"format": "pdf",
"document": {
"metadata": {
"title": "42 Oakwood Drive — Property Brochure",
"author": "Crestview Realty Group"
},
"page": {
"size": {
"preset": "A4"
},
"margins": {
"top_in_pt": 48,
"right_in_pt": 48,
"bottom_in_pt": 48,
"left_in_pt": 48
}
},
"content": [
{
"type": "headline",
"level": "h1",
"text": "42 Oakwood Drive"
},
{
"type": "headline",
"level": "h2",
"text": "Westfield, NJ — $875,000"
},
{
"type": "separator"
},
{
"type": "table",
"header": {
"cells": [
{
"text": "Bedrooms"
},
{
"text": "Bathrooms"
},
{
"text": "Sq Ft"
},
{
"text": "Year Built"
}
]
},
"rows": [
{
"cells": [
{
"text": "4"
},
{
"text": "2.5"
},
{
"text": "2,850"
},
{
"text": "2003"
}
]
}
]
},
{
"type": "separator"
},
{
"type": "paragraph",
"runs": [
{
"text": "Nestled on a quiet tree-lined street, this impeccably maintained colonial features an open-concept living area, gourmet kitchen with granite countertops, and a sun-drenched family room opening to a landscaped backyard. The primary suite includes a walk-in closet and spa-inspired bath. Minutes from top-rated schools and downtown shops."
}
]
},
{
"type": "separator"
},
{
"type": "paragraph",
"runs": [
{
"text": "Listed by: ",
"font_weight": "bold"
},
{
"text": "Sarah Mitchell — Crestview Realty Group\n"
},
{
"text": "Phone: ",
"font_weight": "bold"
},
{
"text": "(908) 555-0142"
}
]
}
]
}
}'
# Step 3: Generate a social media image
curl -X POST https://api.iterationlayer.com/image-generation/v1/generate \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"dimensions": {
"width_in_px": 1080,
"height_in_px": 1080
},
"layers": [
{
"type": "solid-color",
"index": 0,
"hex_color": "#1B3A4B"
},
{
"type": "text",
"index": 1,
"text": "JUST LISTED",
"font_name": "Arial",
"font_size_in_px": 32,
"text_color": "#F0C040",
"position": {
"x_in_px": 60,
"y_in_px": 60
},
"dimensions": {
"width_in_px": 960,
"height_in_px": 50
},
"font_weight": "bold"
},
{
"type": "text",
"index": 2,
"text": "42 Oakwood Drive",
"font_name": "Arial",
"font_size_in_px": 56,
"text_color": "#FFFFFF",
"position": {
"x_in_px": 60,
"y_in_px": 140
},
"dimensions": {
"width_in_px": 960,
"height_in_px": 80
},
"font_weight": "bold"
},
{
"type": "text",
"index": 3,
"text": "Westfield, NJ",
"font_name": "Arial",
"font_size_in_px": 28,
"text_color": "#B0C4DE",
"position": {
"x_in_px": 60,
"y_in_px": 240
},
"dimensions": {
"width_in_px": 960,
"height_in_px": 40
}
},
{
"type": "text",
"index": 4,
"text": "$875,000",
"font_name": "Arial",
"font_size_in_px": 64,
"text_color": "#FFFFFF",
"position": {
"x_in_px": 60,
"y_in_px": 400
},
"dimensions": {
"width_in_px": 960,
"height_in_px": 90
},
"font_weight": "bold"
},
{
"type": "text",
"index": 5,
"text": "4 BD | 2.5 BA | 2,850 SQ FT",
"font_name": "Arial",
"font_size_in_px": 28,
"text_color": "#FFFFFF",
"position": {
"x_in_px": 60,
"y_in_px": 520
},
"dimensions": {
"width_in_px": 960,
"height_in_px": 40
}
},
{
"type": "text",
"index": 6,
"text": "Sarah Mitchell — Crestview Realty Group\n(908) 555-0142",
"font_name": "Arial",
"font_size_in_px": 22,
"text_color": "#B0C4DE",
"position": {
"x_in_px": 60,
"y_in_px": 920
},
"dimensions": {
"width_in_px": 960,
"height_in_px": 100
}
}
]
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
// Step 1: Extract listing data
const extraction = await client.extractDocument({
files: [
{
type: "url",
name: "listing-42-oakwood.pdf",
url: "https://example.com/listings/42-oakwood-drive.pdf",
},
],
schema: {
fields: [
{ name: "property_address", type: "TEXT", description: "Full street address of the property" },
{ name: "city", type: "TEXT", description: "City or town" },
{ name: "listing_price", type: "CURRENCY_AMOUNT", description: "Asking price" },
{ name: "bedrooms", type: "INTEGER", description: "Number of bedrooms" },
{ name: "bathrooms", type: "DECIMAL", description: "Number of bathrooms" },
{ name: "square_footage", type: "INTEGER", description: "Living area in square feet" },
{ name: "year_built", type: "INTEGER", description: "Year the property was built" },
{ name: "description", type: "TEXTAREA", description: "Marketing description of the property" },
{ name: "agent_name", type: "TEXT", description: "Listing agent name" },
{ name: "agent_phone", type: "TEXT", description: "Listing agent phone number" },
],
},
});
const propertyAddress = String(extraction["property_address"].value);
const city = String(extraction["city"].value);
const listingPrice = String(extraction["listing_price"].value);
const bedrooms = String(extraction["bedrooms"].value);
const bathrooms = String(extraction["bathrooms"].value);
const squareFootage = String(extraction["square_footage"].value);
const yearBuilt = String(extraction["year_built"].value);
const propertyDescription = String(extraction["description"].value);
const agentName = String(extraction["agent_name"].value);
const agentPhone = String(extraction["agent_phone"].value);
// Step 2: Generate a branded PDF brochure
const brochure = await client.generateDocument({
format: "pdf",
document: {
metadata: {
title: `${propertyAddress} — Property Brochure`,
author: "Crestview Realty Group",
},
page: {
size: { preset: "A4" },
margins: { top_in_pt: 48, right_in_pt: 48, bottom_in_pt: 48, left_in_pt: 48 },
},
content: [
{ type: "headline", level: "h1", text: propertyAddress },
{ type: "headline", level: "h2", text: `${city} — ${listingPrice}` },
{ type: "separator" },
{
type: "table",
header: {
cells: [
{ text: "Bedrooms" },
{ text: "Bathrooms" },
{ text: "Sq Ft" },
{ text: "Year Built" },
],
},
rows: [
{
cells: [
{ text: bedrooms },
{ text: bathrooms },
{ text: squareFootage },
{ text: yearBuilt },
],
},
],
},
{ type: "separator" },
{ type: "paragraph", runs: [{ text: propertyDescription }] },
{ type: "separator" },
{
type: "paragraph",
runs: [
{ text: "Listed by: ", font_weight: "bold" },
{ text: `${agentName} — Crestview Realty Group\n` },
{ text: "Phone: ", font_weight: "bold" },
{ text: agentPhone },
],
},
],
},
});
// Step 3: Generate a social media image
const socialImage = await client.generateImage({
dimensions: { width_in_px: 1080, height_in_px: 1080 },
layers: [
{ type: "solid-color", index: 0, hex_color: "#1B3A4B" },
{
type: "text",
index: 1,
text: "JUST LISTED",
font_name: "Arial",
font_size_in_px: 32,
text_color: "#F0C040",
position: { x_in_px: 60, y_in_px: 60 },
dimensions: { width_in_px: 960, height_in_px: 50 },
font_weight: "bold",
},
{
type: "text",
index: 2,
text: propertyAddress,
font_name: "Arial",
font_size_in_px: 56,
text_color: "#FFFFFF",
position: { x_in_px: 60, y_in_px: 140 },
dimensions: { width_in_px: 960, height_in_px: 80 },
font_weight: "bold",
},
{
type: "text",
index: 3,
text: city,
font_name: "Arial",
font_size_in_px: 28,
text_color: "#B0C4DE",
position: { x_in_px: 60, y_in_px: 240 },
dimensions: { width_in_px: 960, height_in_px: 40 },
},
{
type: "text",
index: 4,
text: listingPrice,
font_name: "Arial",
font_size_in_px: 64,
text_color: "#FFFFFF",
position: { x_in_px: 60, y_in_px: 400 },
dimensions: { width_in_px: 960, height_in_px: 90 },
font_weight: "bold",
},
{
type: "text",
index: 5,
text: `${bedrooms} BD | ${bathrooms} BA | ${squareFootage} SQ FT`,
font_name: "Arial",
font_size_in_px: 28,
text_color: "#FFFFFF",
position: { x_in_px: 60, y_in_px: 520 },
dimensions: { width_in_px: 960, height_in_px: 40 },
},
{
type: "text",
index: 6,
text: `${agentName} — Crestview Realty Group\n${agentPhone}`,
font_name: "Arial",
font_size_in_px: 22,
text_color: "#B0C4DE",
position: { x_in_px: 60, y_in_px: 920 },
dimensions: { width_in_px: 960, height_in_px: 100 },
},
],
});
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
# Step 1: Extract listing data
extraction = client.extract_document(
files=[
{
"type": "url",
"name": "listing-42-oakwood.pdf",
"url": "https://example.com/listings/42-oakwood-drive.pdf",
}
],
schema={
"fields": [
{"name": "property_address", "type": "TEXT", "description": "Full street address of the property"},
{"name": "city", "type": "TEXT", "description": "City or town"},
{"name": "listing_price", "type": "CURRENCY_AMOUNT", "description": "Asking price"},
{"name": "bedrooms", "type": "INTEGER", "description": "Number of bedrooms"},
{"name": "bathrooms", "type": "DECIMAL", "description": "Number of bathrooms"},
{"name": "square_footage", "type": "INTEGER", "description": "Living area in square feet"},
{"name": "year_built", "type": "INTEGER", "description": "Year the property was built"},
{"name": "description", "type": "TEXTAREA", "description": "Marketing description of the property"},
{"name": "agent_name", "type": "TEXT", "description": "Listing agent name"},
{"name": "agent_phone", "type": "TEXT", "description": "Listing agent phone number"},
]
},
)
property_address = extraction["property_address"]["value"]
city = extraction["city"]["value"]
listing_price = extraction["listing_price"]["value"]
bedrooms = extraction["bedrooms"]["value"]
bathrooms = extraction["bathrooms"]["value"]
square_footage = extraction["square_footage"]["value"]
year_built = extraction["year_built"]["value"]
property_description = extraction["description"]["value"]
agent_name = extraction["agent_name"]["value"]
agent_phone = extraction["agent_phone"]["value"]
# Step 2: Generate a branded PDF brochure
brochure = client.generate_document(
format="pdf",
document={
"metadata": {
"title": f"{property_address} — Property Brochure",
"author": "Crestview Realty Group",
},
"page": {
"size": {"preset": "A4"},
"margins": {"top_in_pt": 48, "right_in_pt": 48, "bottom_in_pt": 48, "left_in_pt": 48},
},
"content": [
{"type": "headline", "level": "h1", "text": property_address},
{"type": "headline", "level": "h2", "text": f"{city} — {listing_price}"},
{"type": "separator"},
{
"type": "table",
"header": {
"cells": [
{"text": "Bedrooms"},
{"text": "Bathrooms"},
{"text": "Sq Ft"},
{"text": "Year Built"},
]
},
"rows": [
{
"cells": [
{"text": str(bedrooms)},
{"text": str(bathrooms)},
{"text": str(square_footage)},
{"text": str(year_built)},
]
}
],
},
{"type": "separator"},
{"type": "paragraph", "runs": [{"text": property_description}]},
{"type": "separator"},
{
"type": "paragraph",
"runs": [
{"text": "Listed by: ", "font_weight": "bold"},
{"text": f"{agent_name} — Crestview Realty Group\n"},
{"text": "Phone: ", "font_weight": "bold"},
{"text": agent_phone},
],
},
],
},
)
# Step 3: Generate a social media image
social_image = client.generate_image(
dimensions={"width_in_px": 1080, "height_in_px": 1080},
layers=[
{"type": "solid-color", "index": 0, "hex_color": "#1B3A4B"},
{
"type": "text",
"index": 1,
"text": "JUST LISTED",
"font_name": "Arial",
"font_size_in_px": 32,
"text_color": "#F0C040",
"position": {"x_in_px": 60, "y_in_px": 60},
"dimensions": {"width_in_px": 960, "height_in_px": 50},
"font_weight": "bold",
},
{
"type": "text",
"index": 2,
"text": property_address,
"font_name": "Arial",
"font_size_in_px": 56,
"text_color": "#FFFFFF",
"position": {"x_in_px": 60, "y_in_px": 140},
"dimensions": {"width_in_px": 960, "height_in_px": 80},
"font_weight": "bold",
},
{
"type": "text",
"index": 3,
"text": city,
"font_name": "Arial",
"font_size_in_px": 28,
"text_color": "#B0C4DE",
"position": {"x_in_px": 60, "y_in_px": 240},
"dimensions": {"width_in_px": 960, "height_in_px": 40},
},
{
"type": "text",
"index": 4,
"text": str(listing_price),
"font_name": "Arial",
"font_size_in_px": 64,
"text_color": "#FFFFFF",
"position": {"x_in_px": 60, "y_in_px": 400},
"dimensions": {"width_in_px": 960, "height_in_px": 90},
"font_weight": "bold",
},
{
"type": "text",
"index": 5,
"text": f"{bedrooms} BD | {bathrooms} BA | {square_footage} SQ FT",
"font_name": "Arial",
"font_size_in_px": 28,
"text_color": "#FFFFFF",
"position": {"x_in_px": 60, "y_in_px": 520},
"dimensions": {"width_in_px": 960, "height_in_px": 40},
},
{
"type": "text",
"index": 6,
"text": f"{agent_name} — Crestview Realty Group\n{agent_phone}",
"font_name": "Arial",
"font_size_in_px": 22,
"text_color": "#B0C4DE",
"position": {"x_in_px": 60, "y_in_px": 920},
"dimensions": {"width_in_px": 960, "height_in_px": 100},
},
],
)
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: "listing-42-oakwood.pdf",
Url: "https://example.com/listings/42-oakwood-drive.pdf",
},
},
Schema: il.ExtractionSchema{
Fields: []any{
il.TextFieldConfig{
Name: "property_address",
Type: "TEXT",
Description: "Full street address of the property",
},
il.TextFieldConfig{
Name: "city",
Type: "TEXT",
Description: "City or town",
},
il.CurrencyAmountFieldConfig{
Name: "listing_price",
Type: "CURRENCY_AMOUNT",
Description: "Asking price",
},
il.IntegerFieldConfig{
Name: "bedrooms",
Type: "INTEGER",
Description: "Number of bedrooms",
},
il.DecimalFieldConfig{
Name: "bathrooms",
Type: "DECIMAL",
Description: "Number of bathrooms",
},
il.IntegerFieldConfig{
Name: "square_footage",
Type: "INTEGER",
Description: "Living area in square feet",
},
il.IntegerFieldConfig{
Name: "year_built",
Type: "INTEGER",
Description: "Year the property was built",
},
il.TextareaFieldConfig{
Name: "description",
Type: "TEXTAREA",
Description: "Marketing description of the property",
},
il.TextFieldConfig{
Name: "agent_name",
Type: "TEXT",
Description: "Listing agent name",
},
il.TextFieldConfig{
Name: "agent_phone",
Type: "TEXT",
Description: "Listing agent phone number",
},
},
},
})
if err != nil {
panic(err)
}
_ = result
}
{
"name": "Extract Listing Data and Generate a Brochure",
"nodes": [
{
"parameters": {
"content": "## Extract Listing Data and Generate a Brochure\n\nReal estate agencies use this pipeline to turn raw listing PDFs into polished marketing materials — a branded brochure PDF for print and a social media image for Instagram or Facebook — without manual design work.\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_in_px": 280,
"width_in_px": 500,
"color": 2
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
200,
40
],
"id": "a1b2c3d4-e5f6-7890-abcd-ef0123456701",
"name": "Overview"
},
{
"parameters": {
"content": "### Step 1: Extract Listing Data\nResource: **Document Extraction**\n\nConfigure the Document Extraction parameters below, then connect your credentials.",
"height_in_px": 160,
"width_in_px": 300,
"color": 6
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
475,
100
],
"id": "a1b2c3d4-e5f6-7890-abcd-ef0123456702",
"name": "Step 1 Note"
},
{
"parameters": {
"content": "### Step 2: Generate Brochure PDF\nResource: **Document Generation**\n\nConfigure the Document Generation parameters below, then connect your credentials.",
"height_in_px": 160,
"width_in_px": 300,
"color": 6
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
725,
100
],
"id": "a1b2c3d4-e5f6-7890-abcd-ef0123456703",
"name": "Step 2 Note"
},
{
"parameters": {
"content": "### Step 3: Generate Social Image\nResource: **Image Generation**\n\nConfigure the Image Generation parameters below, then connect your credentials.",
"height_in_px": 160,
"width_in_px": 300,
"color": 6
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
975,
100
],
"id": "a1b2c3d4-e5f6-7890-abcd-ef0123456704",
"name": "Step 3 Note"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "a1b2c3d4-e5f6-7890-abcd-ef0123456705",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "documentExtraction",
"schemaInputMode": "rawJson",
"schemaJson": "{\"fields\":[{\"name\":\"property_address\",\"type\":\"TEXT\",\"description\":\"Full street address of the property\"},{\"name\":\"city\",\"type\":\"TEXT\",\"description\":\"City or town\"},{\"name\":\"listing_price\",\"type\":\"CURRENCY_AMOUNT\",\"description\":\"Asking price\"},{\"name\":\"bedrooms\",\"type\":\"INTEGER\",\"description\":\"Number of bedrooms\"},{\"name\":\"bathrooms\",\"type\":\"DECIMAL\",\"description\":\"Number of bathrooms\"},{\"name\":\"square_footage\",\"type\":\"INTEGER\",\"description\":\"Living area in square feet\"},{\"name\":\"year_built\",\"type\":\"INTEGER\",\"description\":\"Year the property was built\"},{\"name\":\"description\",\"type\":\"TEXTAREA\",\"description\":\"Marketing description of the property\"},{\"name\":\"agent_name\",\"type\":\"TEXT\",\"description\":\"Listing agent name\"},{\"name\":\"agent_phone\",\"type\":\"TEXT\",\"description\":\"Listing agent phone number\"}]}",
"files": {
"fileValues": [
{
"fileInputMode": "url",
"fileName": "listing-42-oakwood.pdf",
"fileUrl": "https://example.com/listings/42-oakwood-drive.pdf"
}
]
}
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
500,
300
],
"id": "a1b2c3d4-e5f6-7890-abcd-ef0123456706",
"name": "Extract Listing Data",
"credentials": {
"iterationLayerApi": {
"id": "1",
"name": "Iteration Layer API"
}
}
},
{
"parameters": {
"resource": "documentGeneration",
"format": "pdf",
"documentJson": "{\n \"metadata\": {\n \"title\": \"{{ $json.property_address }} — Property Brochure\",\n \"author\": \"Crestview Realty Group\"\n },\n \"page\": {\n \"size\": { \"preset\": \"A4\" },\n \"margins\": { \"top_in_pt\": 48, \"right_in_pt\": 48, \"bottom_in_pt\": 48, \"left_in_pt\": 48 }\n },\n \"content\": [\n { \"type\": \"headline\", \"level\": \"h1\", \"text\": \"{{ $json.property_address }}\" },\n { \"type\": \"headline\", \"level\": \"h2\", \"text\": \"{{ $json.city }} — {{ $json.listing_price }}\" },\n { \"type\": \"separator\" },\n { \"type\": \"paragraph\", \"runs\": [{ \"text\": \"{{ $json.description }}\" }] },\n { \"type\": \"separator\" },\n { \"type\": \"paragraph\", \"runs\": [{ \"text\": \"Listed by: \", \"font_weight\": \"bold\" }, { \"text\": \"{{ $json.agent_name }} — Crestview Realty Group\\n\" }, { \"text\": \"Phone: \", \"font_weight\": \"bold\" }, { \"text\": \"{{ $json.agent_phone }}\" }] }\n ]\n}"
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
750,
300
],
"id": "a1b2c3d4-e5f6-7890-abcd-ef0123456707",
"name": "Generate Brochure PDF",
"credentials": {
"iterationLayerApi": {
"id": "1",
"name": "Iteration Layer API"
}
}
},
{
"parameters": {
"resource": "imageGeneration",
"width_in_px": 1080,
"height_in_px": 1080,
"layersJson": "[\n { \"type\": \"solid-color\", \"index\": 0, \"hex_color\": \"#1B3A4B\" },\n { \"type\": \"text\", \"index\": 1, \"text\": \"JUST LISTED\", \"font_name\": \"Arial\", \"font_size_in_px\": 32, \"text_color\": \"#F0C040\", \"position\": { \"x\": 60, \"y\": 60 }, \"dimensions\": { \"width\": 960, \"height\": 50 }, \"font_weight\": \"bold\" },\n { \"type\": \"text\", \"index\": 2, \"text\": \"{{ $json.property_address }}\", \"font_name\": \"Arial\", \"font_size_in_px\": 56, \"text_color\": \"#FFFFFF\", \"position\": { \"x\": 60, \"y\": 140 }, \"dimensions\": { \"width\": 960, \"height\": 80 }, \"font_weight\": \"bold\" },\n { \"type\": \"text\", \"index\": 3, \"text\": \"{{ $json.city }}\", \"font_name\": \"Arial\", \"font_size_in_px\": 28, \"text_color\": \"#B0C4DE\", \"position\": { \"x\": 60, \"y\": 240 }, \"dimensions\": { \"width\": 960, \"height\": 40 } },\n { \"type\": \"text\", \"index\": 4, \"text\": \"{{ $json.listing_price }}\", \"font_name\": \"Arial\", \"font_size_in_px\": 64, \"text_color\": \"#FFFFFF\", \"position\": { \"x\": 60, \"y\": 400 }, \"dimensions\": { \"width\": 960, \"height\": 90 }, \"font_weight\": \"bold\" },\n { \"type\": \"text\", \"index\": 5, \"text\": \"{{ $json.bedrooms }} BD | {{ $json.bathrooms }} BA | {{ $json.square_footage }} SQ FT\", \"font_name\": \"Arial\", \"font_size_in_px\": 28, \"text_color\": \"#FFFFFF\", \"position\": { \"x\": 60, \"y\": 520 }, \"dimensions\": { \"width\": 960, \"height\": 40 } },\n { \"type\": \"text\", \"index\": 6, \"text\": \"{{ $json.agent_name }} — Crestview Realty Group\\n{{ $json.agent_phone }}\", \"font_name\": \"Arial\", \"font_size_in_px\": 22, \"text_color\": \"#B0C4DE\", \"position\": { \"x\": 60, \"y\": 920 }, \"dimensions\": { \"width\": 960, \"height\": 100 } }\n]"
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
1000,
300
],
"id": "a1b2c3d4-e5f6-7890-abcd-ef0123456708",
"name": "Generate Social Image",
"credentials": {
"iterationLayerApi": {
"id": "1",
"name": "Iteration Layer API"
}
}
}
],
"connections": {
"Manual Trigger": {
"main": [
[
{
"node": "Extract Listing Data",
"type": "main",
"index": 0
}
]
]
},
"Extract Listing Data": {
"main": [
[
{
"node": "Generate Brochure PDF",
"type": "main",
"index": 0
}
]
]
},
"Generate Brochure PDF": {
"main": [
[
{
"node": "Generate Social Image",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
}
}
Extract real estate listing data from the file at [file URL], then generate a brochure and social media image. Use the extract_document tool with these fields:
- property_address (TEXT): Full street address of the property
- city (TEXT): City or town
- listing_price (CURRENCY_AMOUNT): Asking price
- bedrooms (INTEGER): Number of bedrooms
- bathrooms (DECIMAL): Number of bathrooms
- square_footage (INTEGER): Living area in square feet
- year_built (INTEGER): Year the property was built
- description (TEXTAREA): Marketing description of the property
- agent_name (TEXT): Listing agent name
- agent_phone (TEXT): Listing agent phone number
Then use the generate_document tool to create a branded A4 PDF brochure with the extracted property details, and the generate_image tool to create a 1080x1080 social media card with property highlights and agent contact info.
Response
{
"success": true,
"data": {
"buffer": "JVBERi0xLjQ...",
"mime_type": "application/pdf"
}
}