# Leilão Imóvel Scraper (`jungle_synthesizer/leilaoimovel-scraper`) Actor Scrape auction property listings from leilaoimovel.com.br — Brazil's largest real estate auction portal. Extracts sale price, appraisal value, discount percentage, modality, closing date, bank, property type, address, and more. Filter by state, city, property type, and bank. - **URL**: https://apify.com/jungle\_synthesizer/leilaoimovel-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Real estate, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Leilão Imóvel Scraper Scrape auction property listings from [leilaoimovel.com.br](https://www.leilaoimovel.com.br) — Brazil's largest real estate auction aggregator. The actor crawls listing pages and extracts full detail records including sale price, appraisal value, discount percentage, bank, auctioneer, closing date, payment options, and more. ### What it does - Crawls listing pages at `/encontre-seu-imovel` with optional filters (state, city, bank, property type) - Follows every property link into its detail page - Extracts 24 fields per record, including DataLayer ecommerce event data for price accuracy - Handles pagination automatically up to 2,445+ pages (~15 items/page) ### Input | Field | Type | Description | Default | |-------|------|-------------|---------| | `maxItems` | integer | Maximum number of property listings to scrape | 10 | | `state` | string | Brazilian state code, e.g. `SP`, `RJ`, `MG` | (all) | | `city` | string | City slug, e.g. `sao-paulo` | (all) | | `bank` | string | Bank slug, e.g. `caixa-economica-federal-cef`, `santander` | (all) | | `propertyType` | string | Property type slug, e.g. `residencial`, `comercial` | (all) | ### Output fields Each record in the dataset contains: | Field | Type | Description | |-------|------|-------------| | `property_id` | string | Internal property ID | | `url` | string | Full URL of the property detail page | | `title` | string | Property listing title | | `sale_price` | number | Current sale price in BRL | | `appraisal_value` | number | Appraisal value in BRL | | `discount_pct` | number | Discount % off the appraised value | | `modality` | string | Auction modality (e.g. Leilão SFI Caixa, Venda Direta) | | `bank` | string | Bank / institution selling the property | | `auctioneer` | string | Auctioneer company name | | `closing_date` | string | Auction closing date-time (ISO 8601) | | `property_type` | string | Property type (Casa, Apartamento, Terreno, …) | | `address` | string | Full property address | | `state` | string | Brazilian state code (e.g. RJ, SP) | | `city` | string | City name | | `accepts_financing` | boolean | Whether the property accepts financing | | `accepts_fgts` | boolean | Whether the property accepts FGTS | | `accepts_installment` | boolean | Whether installment payment is accepted | | `origin_code` | string | Bank's internal reference code | | `item_number` | string | Item number within the auction edital | | `edital` | string | Auction notice / edital identifier | | `registration_number` | string | Property registration (matrícula) number | | `comarca` | string | Judicial district | | `description` | string | Full property description | | `image_url` | string | URL of the first property photo | | `scraped_at` | string | ISO 8601 timestamp of when the record was scraped | ### Example output ```json { "property_id": "2345696", "url": "https://www.leilaoimovel.com.br/imovel/pe/petrolina/...", "title": "Casa Caixa em Petrolina / PE", "sale_price": 574220.18, "appraisal_value": 760000.00, "discount_pct": 24.44, "modality": "Leilão SFI Caixa", "bank": "Caixa", "auctioneer": "Leilões Judiciais", "closing_date": "2026-07-15T10:00:00-03:00", "property_type": "Casa", "address": "Rua Exemplo, 123, Bairro Centro, Petrolina/PE", "state": "PE", "city": "Petrolina", "accepts_financing": true, "accepts_fgts": true, "accepts_installment": false, "origin_code": "PE123456", "item_number": "001", "edital": "0001/2026", "registration_number": "12345", "comarca": "Petrolina", "description": "Casa residencial em bom estado...", "image_url": "https://www.leilaoimovel.com.br/...", "scraped_at": "2026-06-06T19:35:00.000Z" } ```` ### Notes - The actor uses Brazilian residential proxy routing to ensure reliable access to leilaoimovel.com.br, which is protected by Cloudflare and blocks datacenter IPs. - Pagination is auto-detected from the listing count shown on the first page. - `state` and `city` filter values should be lowercase codes/slugs as used in the site's URL structure (e.g. `sp` not `São Paulo`). - Scraping all ~37,000+ active listings without filters requires a high `maxItems` value and significant compute time. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `maxItems` (type: `integer`): Maximum number of property listings to scrape. Leave empty to scrape all. ## `state` (type: `string`): Filter by Brazilian state code (e.g. SP, RJ, MG). Leave empty for all states. ## `city` (type: `string`): Filter by city slug (e.g. sao-paulo). Leave empty for all cities. ## `bank` (type: `string`): Filter by bank slug (e.g. caixa-economica-federal-cef, santander). Leave empty for all banks. ## `propertyType` (type: `string`): Filter by property type (e.g. residencial, comercial). Leave empty for all types. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "state": "", "city": "", "bank": "", "propertyType": "" }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/leilaoimovel-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "state": "", "city": "", "bank": "", "propertyType": "", } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/leilaoimovel-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "state": "", "city": "", "bank": "", "propertyType": "" }' | apify call jungle_synthesizer/leilaoimovel-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/leilaoimovel-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Leilão Imóvel Scraper", "description": "Scrape auction property listings from leilaoimovel.com.br — Brazil's largest real estate auction portal. Extracts sale price, appraisal value, discount percentage, modality, closing date, bank, property type, address, and more. Filter by state, city, property type, and bank.\n", "version": "0.1", "x-build-id": "0ZH3QkcA0k6VtGcga" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~leilaoimovel-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-leilaoimovel-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~leilaoimovel-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-leilaoimovel-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~leilaoimovel-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-leilaoimovel-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of property listings to scrape. Leave empty to scrape all." }, "state": { "title": "State Filter", "type": "string", "description": "Filter by Brazilian state code (e.g. SP, RJ, MG). Leave empty for all states." }, "city": { "title": "City Filter", "type": "string", "description": "Filter by city slug (e.g. sao-paulo). Leave empty for all cities." }, "bank": { "title": "Bank Filter", "type": "string", "description": "Filter by bank slug (e.g. caixa-economica-federal-cef, santander). Leave empty for all banks." }, "propertyType": { "title": "Property Type Filter", "type": "string", "description": "Filter by property type (e.g. residencial, comercial). Leave empty for all types." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```