# $0.65/1K 💚 Immobiliare.it Scraper - Listings & Agencies (`lofomachines/immobiliare-it-scraper`) Actor 🇮🇹 Raccogli annunci immobiliari e agenzie da Immobiliare.it. Incolla qualsiasi URL ed esporta prezzi, superfici, stanze, foto, classe energetica, dati geografici e contatti delle agenzie in JSON, CSV o Excel. 🇬🇧 Scrape Italian real estate listings and agencies. - **URL**: https://apify.com/lofomachines/immobiliare-it-scraper.md - **Developed by:** [Lofomachines](https://apify.com/lofomachines) (community) - **Categories:** Real estate, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.65 / 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. 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 ## Immobiliare.it Scraper 🏠 | Annunci & Agenzie Immobiliari → Dati Strutturati **Estrai annunci immobiliari e agenzie da Immobiliare.it in pochi secondi.** Incolla un URL e ottieni prezzi, metratura, locali, foto, classe energetica, posizione GPS e contatti delle agenzie — pronti da esportare in **JSON, CSV, Excel o HTML**. > 🇮🇹 **Italiano** (sotto) · 🇬🇧 [**English version**](#-immobiliareit-scraper--listings--agencies-data-in-one-click) --- ### 🚀 Cosa fa questo scraper di Immobiliare.it Questo **scraper per Immobiliare.it** è lo strumento più semplice e completo per **estrarre dati immobiliari** dal portale immobiliare numero 1 in Italia. Un solo Actor gestisce **qualsiasi tipo di link**: non devi scegliere strumenti diversi per annunci e agenzie. Incolla uno o più URL di ricerca e l'Actor restituisce dati puliti e strutturati: | Tipo di URL | Esempio | Cosa ottieni | |---|---|---| | 🔎 **Case in vendita** | `immobiliare.it/vendita-case/milano/` | Tutti gli annunci in vendita, con paginazione automatica | | 🏠 **Case in affitto** | `immobiliare.it/affitto-case/roma/` | Tutti gli annunci in affitto | | 🎛️ **Ricerche filtrate** | `…/vendita-case/milano/?prezzoMassimo=300000` | Rispetta i filtri che applichi sul sito | | 🏢 **Agenzie della zona** | `immobiliare.it/agenzie-immobiliari/bologna/` | Le agenzie che operano in quella zona, con i contatti | Puoi anche **mischiare più link nella stessa esecuzione**: lo scraper li gestisce tutti insieme. --- ### ✨ Perché scegliere questo Actor - ✅ **Annunci e agenzie** — estrai gli immobili e i contatti delle agenzie con un unico strumento. - ✅ **Dati ricchi e puliti** — decine di campi normalizzati e pronti all'uso, senza HTML sporco. - ✅ **Velocissimo e conveniente** — ottimizzato per estrarre migliaia di annunci a basso costo. - ✅ **Paginazione automatica** — segue tutte le pagine dei risultati al posto tuo. - ✅ **Zero competenze tecniche** — solo due campi: gli URL e quanti risultati vuoi. - ✅ **Esporta ovunque** — JSON, CSV, Excel, HTML o via **API** e integrazioni (Make, Zapier, n8n, Google Sheets). - ✅ **Coordinate GPS incluse** — perfetto per mappe e analisi geografiche. --- ### 📊 Quali dati estrae #### Annunci immobiliari (case in vendita e in affitto) Prezzo · superficie (m²) · locali · camere da letto · bagni · piano · tipologia (appartamento, trilocale, villa, attico…) · stato/condizione · riscaldamento · ascensore · box/garage · caratteristiche e accessori (balcone, terrazzo, giardino, cantina, piscina…) · descrizione completa · **tutte le foto in alta risoluzione** · indirizzo, zona, macrozona, città, provincia, regione · **latitudine e longitudine** · nome, telefono e profilo dell'agenzia · URL dell'annuncio e data di estrazione. #### Agenzie immobiliari (lead generation) Nome · tipologia · logo · **telefono e telefoni** · URL del profilo dell'agenzia. Vengono raccolte le agenzie che pubblicano annunci nella zona cercata — ideale per costruire liste di contatti. #### Esempio di output (annuncio) ```json { "itemType": "property", "url": "https://www.immobiliare.it/annunci/128386308/", "title": "Trilocale via Gaetano Donizetti 2, Carrozzone, Reggio Emilia", "contract": "sale", "propertyType": "Trilocale", "price": 169000, "priceFormatted": "€ 169.000", "surface": 89, "rooms": 3, "bedrooms": 2, "bathrooms": 1, "floor": "T, 1", "elevator": false, "garage": "1 posto auto", "condition": "Ottimo / Ristrutturato", "heating": "Autonomo", "features": ["fibra ottica", "porta blindata", "balcone", "terrazzo"], "city": "Reggio Emilia", "zone": "Carrozzone", "province": "Reggio Emilia", "region": "Emilia Romagna", "latitude": 44.7038, "longitude": 10.6137, "images": ["https://pwm.im-cdn.it/image/1916737266/l.jpg"], "imagesCount": 19, "agencyName": "AM CONSULTING", "agencyPhone": "02 8126 6874" } ```` #### Esempio di output (agenzia) ```json { "itemType": "agency", "url": "https://www.immobiliare.it/agenzie-immobiliari/420383/", "name": "AM CONSULTING", "type": "agency", "phone": "02 8126 6874", "phones": ["02 8126 6874"], "logoUrl": "https://pic.im-cdn.it/imagenoresize/1828871829.jpg" } ``` *** ### 🎯 Casi d'uso - 📈 **Analisi del mercato immobiliare** — monitora prezzi, prezzo al m² e tendenze per città, zona o tipologia. - 🧲 **Lead generation** — costruisci liste di **agenzie immobiliari** con nome e telefono per il tuo CRM. - 🏘️ **Investitori e agenzie** — individua nuove opportunità, immobili sottoprezzo e aste. - 🤖 **Alimenta AI e modelli** — crea dataset per valutazioni automatiche e portali comparativi. - 🗺️ **Mappe e geomarketing** — usa le coordinate GPS per visualizzazioni territoriali. - 📊 **Report e dashboard** — esporta su Google Sheets, Power BI o Excel e aggiorna i dati automaticamente. *** ### 🛠️ Come si usa (3 passi) 1. **Incolla gli URL di ricerca** di Immobiliare.it che ti interessano (vendita, affitto o agenzie di zona). 2. Imposta il **numero massimo di risultati** (lascialo vuoto per prendere tutto). 3. Premi **Start** ▶️ e scarica i dati in JSON, CSV o Excel. 💡 *Suggerimento:* apri Immobiliare.it, applica i filtri che vuoi (città, prezzo, locali, vendita/affitto…) e copia l'URL della pagina: lo scraper rispetterà esattamente quei filtri. #### Parametri di input | Campo | Descrizione | |---|---| | **URL di Immobiliare.it** (`startUrls`) | Uno o più link da analizzare. Puoi mischiare annunci, ricerche e agenzie. | | **Risultati massimi** (`maxItems`) | Quanti risultati raccogliere in totale. Vuoto = tutti quelli disponibili. | #### Automatizza con la pianificazione Imposta uno **Schedule** su Apify per eseguire lo scraper ogni giorno o ogni settimana e avere sempre dati aggiornati su prezzi e nuovi annunci. *** ### ❓ Domande frequenti (FAQ) **Devo saper programmare?** No. Bastano un URL e un clic. **Posso estrarre sia gli annunci che le agenzie?** Sì. Con un URL di ricerca ottieni gli annunci; con un URL di agenzie di zona ottieni i contatti delle agenzie. **Vengono scaricate tutte le foto?** Sì, le foto degli annunci sono incluse in alta risoluzione. **Posso esportare in Excel o Google Sheets?** Sì: JSON, CSV, Excel, HTML e API. Integrabile con Make, Zapier, n8n e Google Sheets. **In che formato sono i prezzi e le superfici?** Numeri puliti (es. `320000`, `80`), oltre alla versione formattata, così puoi fare subito calcoli e filtri. **Posso pianificare esecuzioni automatiche?** Sì, con lo Scheduler di Apify. *** ## 🇬🇧 Immobiliare.it Scraper 🏠 | Listings & Agencies Data in One Click **Extract real estate listings and agencies from Immobiliare.it in seconds.** Paste a search URL and get prices, surface area, rooms, photos, amenities, GPS coordinates and agency contacts — ready to export to **JSON, CSV, Excel or HTML**. ### 🚀 What this Immobiliare.it scraper does This **Immobiliare.it scraper** is the simplest way to **extract Italian real estate data** from Italy's #1 property portal — listings and the agencies behind them, in one tool. Paste one or more search URLs and the Actor returns clean, structured data: | URL type | Example | What you get | |---|---|---| | 🔎 **Homes for sale** | `immobiliare.it/vendita-case/milano/` | Every listing for sale, with automatic pagination | | 🏠 **Homes for rent** | `immobiliare.it/affitto-case/roma/` | Every listing for rent | | 🎛️ **Filtered searches** | `…/vendita-case/milano/?prezzoMassimo=300000` | Respects the filters you apply on the site | | 🏢 **Agencies in an area** | `immobiliare.it/agenzie-immobiliari/bologna/` | The agencies advertising in that area, with contacts | You can even **mix several links in the same run** — the scraper handles them all at once. ### ✨ Why choose this Actor - ✅ **Listings and agencies** — extract properties and agency contacts with one tool. - ✅ **Rich, clean data** — dozens of normalized, ready-to-use fields, no messy HTML. - ✅ **Fast & cost-efficient** — built to extract thousands of listings at low cost. - ✅ **Automatic pagination** — follows every result page for you. - ✅ **No technical skills required** — just two fields: the URLs and how many results. - ✅ **Export anywhere** — JSON, CSV, Excel, HTML or via **API** and integrations (Make, Zapier, n8n, Google Sheets). - ✅ **GPS coordinates included** — perfect for maps and geographic analysis. ### 📊 Data you can extract #### Property listings (homes for sale & for rent) Price · surface (m²) · rooms · bedrooms · bathrooms · floor · property type (apartment, villa, penthouse…) · condition · heating · elevator · garage · features & amenities (balcony, terrace, garden, cellar, pool…) · full description · **all high-resolution photos** · address, zone, macrozone, city, province, region · **latitude & longitude** · agency name, phone and profile · listing URL and scrape timestamp. #### Real estate agencies (lead generation) Name · type · logo · **phone and phones** · agency profile URL. The agencies advertising in the searched area are collected — ideal for building contact lists. ### 🎯 Use cases - 📈 **Real estate market analysis** — track prices, €/m² and trends by city, zone or property type. - 🧲 **Lead generation** — build lists of **real estate agencies** with name and phone for your CRM. - 🏘️ **Investors & agencies** — spot new opportunities, underpriced properties and auctions. - 🤖 **Feed AI & models** — create datasets for automated valuations and comparison portals. - 🗺️ **Maps & geomarketing** — use GPS coordinates for territorial visualizations. - 📊 **Reports & dashboards** — export to Google Sheets, Power BI or Excel and refresh automatically. ### 🛠️ How to use it (3 steps) 1. **Paste the Immobiliare.it search URLs** you care about (sale, rent or agencies in an area). 2. Set the **maximum number of results** (leave empty to take everything). 3. Hit **Start** ▶️ and download your data as JSON, CSV or Excel. 💡 *Tip:* open Immobiliare.it, apply any filters you want (city, price, rooms, sale/rent…) and copy the page URL — the scraper will respect exactly those filters. #### Input parameters | Field | Description | |---|---| | **Immobiliare.it search URLs** (`startUrls`) | One or more search/list URLs to scrape (sale, rent, or agencies in an area). | | **Maximum results** (`maxItems`) | How many results to collect in total. Empty = all available. | #### Automate with scheduling Set up a **Schedule** on Apify to run the scraper daily or weekly and always have fresh data on prices and new listings. ### ❓ FAQ **Do I need to code?** No. Just a URL and a click. **Can I scrape both listings and agencies?** Yes. A search URL returns listings; an agencies-in-an-area URL returns agency contacts. **Are all photos downloaded?** Yes, listing photos are included in high resolution. **Can I export to Excel or Google Sheets?** Yes: JSON, CSV, Excel, HTML and API. Works with Make, Zapier, n8n and Google Sheets. **What format are prices and surfaces in?** Clean numbers (e.g. `320000`, `80`) plus a formatted version, so you can calculate and filter instantly. **Can I schedule automatic runs?** Yes, with the Apify Scheduler. *** ### ⚖️ Legal & responsible use This Actor is designed to collect **publicly available information** for legitimate purposes such as market research, analytics and lead generation. You are responsible for using the extracted data in compliance with Immobiliare.it's terms, applicable laws and data-protection regulations (including GDPR) in your jurisdiction. Do not use personal data for spam or any unlawful activity. ### 💬 Support Found an issue or need an extra field? Open a ticket on the Actor's **Issues** tab — feedback is welcome and helps make the scraper better for everyone. # Actor input Schema ## `startUrls` (type: `array`): Paste one or more Immobiliare.it search/list URLs. You can mix several in the same run: • Homes for sale — e.g. https://www.immobiliare.it/vendita-case/milano/ • Homes for rent — e.g. https://www.immobiliare.it/affitto-case/roma/ • Filtered searches — copy the URL after applying filters (price, rooms, size...) • Agencies in an area — e.g. https://www.immobiliare.it/agenzie-immobiliari/bologna/ (returns the agencies advertising in that area) Tip: open Immobiliare.it, choose your city and filters, then copy the page URL from the address bar and paste it here. ## `maxItems` (type: `integer`): The maximum number of results (properties or agencies) to collect across all your URLs. Lower it to spend less, raise it to collect more. Leave empty to collect everything available. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.immobiliare.it/vendita-case/milano/" } ], "maxItems": 100 } ``` # Actor output Schema ## `results` (type: `string`): All scraped properties and agencies in the default dataset. Export to JSON, CSV, Excel or HTML. # 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 = { "startUrls": [ { "url": "https://www.immobiliare.it/vendita-case/milano/" } ], "maxItems": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("lofomachines/immobiliare-it-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 = { "startUrls": [{ "url": "https://www.immobiliare.it/vendita-case/milano/" }], "maxItems": 100, } # Run the Actor and wait for it to finish run = client.actor("lofomachines/immobiliare-it-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 '{ "startUrls": [ { "url": "https://www.immobiliare.it/vendita-case/milano/" } ], "maxItems": 100 }' | apify call lofomachines/immobiliare-it-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lofomachines/immobiliare-it-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "$0.65/1K 💚 Immobiliare.it Scraper - Listings & Agencies", "description": "🇮🇹 Raccogli annunci immobiliari e agenzie da Immobiliare.it. Incolla qualsiasi URL ed esporta prezzi, superfici, stanze, foto, classe energetica, dati geografici e contatti delle agenzie in JSON, CSV o Excel.\n🇬🇧 Scrape Italian real estate listings and agencies.", "version": "1.0", "x-build-id": "DBzNHeKQZCAcMhxYv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lofomachines~immobiliare-it-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lofomachines-immobiliare-it-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/lofomachines~immobiliare-it-scraper/runs": { "post": { "operationId": "runs-sync-lofomachines-immobiliare-it-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/lofomachines~immobiliare-it-scraper/run-sync": { "post": { "operationId": "run-sync-lofomachines-immobiliare-it-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": [ "startUrls" ], "properties": { "startUrls": { "title": "Immobiliare.it search URLs", "type": "array", "description": "Paste one or more Immobiliare.it search/list URLs. You can mix several in the same run:\n\n• Homes for sale — e.g. https://www.immobiliare.it/vendita-case/milano/\n• Homes for rent — e.g. https://www.immobiliare.it/affitto-case/roma/\n• Filtered searches — copy the URL after applying filters (price, rooms, size...)\n• Agencies in an area — e.g. https://www.immobiliare.it/agenzie-immobiliari/bologna/ (returns the agencies advertising in that area)\n\nTip: open Immobiliare.it, choose your city and filters, then copy the page URL from the address bar and paste it here.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Maximum results", "minimum": 1, "type": "integer", "description": "The maximum number of results (properties or agencies) to collect across all your URLs. Lower it to spend less, raise it to collect more. Leave empty to collect everything available." } } }, "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 } } } } } } } } } } ```