Skip to content
cccskills
FreePublished on GitHub

extract-listing-and-generate-brochure

Extract property listing details from a real estate document, then generate a branded PDF brochure and a social media image for the listing.

The English summary is being prepared. Showing the original description.

See how to install

Files included (1)

  • SKILL.md30.8 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

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"
  }
}

Links

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.

The English summary is being prepared. Showing the original description.

iterationlayer/skills4Updated Jun 9, 2026

Compress an image to fit within a specific file size in bytes using quality-first compression.

The English summary is being prepared. Showing the original description.

iterationlayer/skills4Updated Jun 9, 2026

Convert a contract PDF to clean markdown for clause extraction or LLM analysis.

The English summary is being prepared. Showing the original description.

iterationlayer/skills4Updated Jun 9, 2026

Convert external documents — specs, contracts, reports — to markdown for knowledge base ingestion.

The English summary is being prepared. Showing the original description.

iterationlayer/skills4Updated Jun 9, 2026

Convert a document to clean markdown suitable for chunking and embedding in a RAG pipeline.

The English summary is being prepared. Showing the original description.

iterationlayer/skills4Updated Jun 9, 2026

Convert an image between PNG, JPEG, and WebP formats with quality control for web optimization.

The English summary is being prepared. Showing the original description.

iterationlayer/skills4Updated Jun 9, 2026

See all skills by iterationlayer

Report a problem with this skill