# Italy Judicial Real Estate Auctions (AsteGiudiziarie.it) (`ayrtondavoli97/italy-judicial-real-estate-auctions-astegiudiziarie-it`) Actor Extract structured datasets of Italian real estate judicial auctions from AsteGiudiziarie.it including price, tribunal, location, auction dates and property details.Automatically detect potential investment opportunities. Leave a feedback also when you do free runs, report any bug or issues. - **URL**: https://apify.com/ayrtondavoli97/italy-judicial-real-estate-auctions-astegiudiziarie-it.md - **Developed by:** [Francesco Ayrton Davoli](https://apify.com/ayrtondavoli97) (community) - **Categories:** Automation, Real estate, AI - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## Italy Judicial Real Estate Auctions — AsteGiudiziarie.it The **only Apify actor** dedicated to Italian judicial real estate auctions. Extract, score, and filter **14,000+ active auction listings** from AsteGiudiziarie.it — Italy's largest judicial auction portal — with a single run. --- ### Why judicial auctions? Judicial auctions are court-mandated property sales, often priced **30–60% below market value**. This actor is not a generic real estate scraper — it targets this specific, high-opportunity segment that no other actor on Apify covers. --- ### What you get Each record includes: | Field | Description | |-------|-------------| | `comune` / `provincia` | City and province | | `tribunale` | Court managing the auction | | `prezzo_base` | Starting bid price | | `mq_stimati` | Estimated surface area (sqm) | | `prezzo_mq` | Price per square meter | | `data_udienza` | Auction hearing date | | `days_to_auction` | Days remaining until auction | | `investment_score` | Automatic score 0–100 | | `is_opportunity` | True if score ≥ 70 | | `rank_reason` | Human-readable scoring explanation | | `has_foto` | Photo availability | | `has_planimetrie` | Floorplan availability | | `url` | Direct link to auction listing | --- ### Investment Score Every property is automatically scored **0 to 100** based on: - **Price per sqm** vs Italian market benchmarks - **Absolute price** attractiveness for investor profiles - **Time to auction** — urgency weighting - **Listing quality** — photos and floorplans available ```json { "comune": "Bari", "provincia": "BA", "prezzo_base": 82000, "mq_stimati": 118, "prezzo_mq": 695, "days_to_auction": 18, "investment_score": 91.4, "rank_reason": "prezzo target, €/mq basso, asta imminente", "is_opportunity": true, "url": "https://www.astegiudiziarie.it/..." } ```` *** ### Input filters | Parameter | Description | |-----------|-------------| | `maxItems` | Max records to extract (default 200, max 20,000) | | `priceMin` | Minimum auction price (€) | | `priceMax` | Maximum auction price (€) | | `regione` | Italian region | | `provincia` | Province code (e.g. BA, MI, RM) | | `tribunale` | Specific court name | | `propertyType` | Property category | Leave all blank to extract auctions across all of Italy. *** ### Performance Uses the **internal AsteGiudiziarie.it API** — not HTML scraping. - \~14,900 listings available nationally - Extracts 1,000 records in under 30 seconds - 82%+ success rate - Pay-per-result: $1.00 / 1,000 records *** ### Use cases - **Real estate investors** — find undervalued properties before auction day - **PropTech platforms** — enrich your database with judicial auction data - **Market analysts** — track distressed property supply by region - **Legal professionals** — monitor tribunal auction schedules - **Automation pipelines** — schedule daily runs, export to CSV/JSON/Excel *** ### Data source All data is extracted from publicly available listings on **AsteGiudiziarie.it**, Italy's official judicial auction aggregator. *** *Built and maintained by Francesco Ayrton Davoli.* *Bug reports and feature requests welcome via the Issues tab.* # Actor input Schema ## `maxItems` (type: `integer`): Limit results for testing (e.g. 200). Set 0 for full dataset. ## `priceMin` (type: `integer`): Filter minimum auction price ## `priceMax` (type: `integer`): Filter maximum auction price ## `regione` (type: `string`): Italian region (e.g. Lombardia) ## `provincia` (type: `string`): Province code (e.g. MI) ## `tribunale` (type: `string`): Court name ## `propertyType` (type: `string`): Filter property type ## Actor input object example ```json { "maxItems": 200, "priceMin": 0, "priceMax": 0 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("ayrtondavoli97/italy-judicial-real-estate-auctions-astegiudiziarie-it").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = {} # Run the Actor and wait for it to finish run = client.actor("ayrtondavoli97/italy-judicial-real-estate-auctions-astegiudiziarie-it").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 '{}' | apify call ayrtondavoli97/italy-judicial-real-estate-auctions-astegiudiziarie-it --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ayrtondavoli97/italy-judicial-real-estate-auctions-astegiudiziarie-it", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Italy Judicial Real Estate Auctions (AsteGiudiziarie.it)", "description": "Extract structured datasets of Italian real estate judicial auctions from AsteGiudiziarie.it including price, tribunal, location, auction dates and property details.Automatically detect potential investment opportunities.\nLeave a feedback also when you do free runs, report any bug or issues.", "version": "0.0", "x-build-id": "VTMQJKn0Hy6cayaxy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ayrtondavoli97~italy-judicial-real-estate-auctions-astegiudiziarie-it/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ayrtondavoli97-italy-judicial-real-estate-auctions-astegiudiziarie-it", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ayrtondavoli97~italy-judicial-real-estate-auctions-astegiudiziarie-it/runs": { "post": { "operationId": "runs-sync-ayrtondavoli97-italy-judicial-real-estate-auctions-astegiudiziarie-it", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ayrtondavoli97~italy-judicial-real-estate-auctions-astegiudiziarie-it/run-sync": { "post": { "operationId": "run-sync-ayrtondavoli97-italy-judicial-real-estate-auctions-astegiudiziarie-it", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "maxItems": { "title": "Max results", "type": "integer", "description": "Limit results for testing (e.g. 200). Set 0 for full dataset.", "default": 200 }, "priceMin": { "title": "Minimum price (€)", "type": "integer", "description": "Filter minimum auction price", "default": 0 }, "priceMax": { "title": "Maximum price (€)", "type": "integer", "description": "Filter maximum auction price", "default": 0 }, "regione": { "title": "Region", "type": "string", "description": "Italian region (e.g. Lombardia)" }, "provincia": { "title": "Province", "type": "string", "description": "Province code (e.g. MI)" }, "tribunale": { "title": "Court", "type": "string", "description": "Court name" }, "propertyType": { "title": "Property type", "enum": [ "", "residential", "commercial", "land" ], "type": "string", "description": "Filter property type" } } }, "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 } } } } } } } } } } ```