# Italy AsteAnnunci Judicial Auctions Scraper (`signalflow/italy-asteannunci`) Actor Scrape asteannunci.it โ€” Italian property auctions (aste giudiziarie): prezzo base, offerta minima, court, sale date, address, surface and PDF documents, plus next-round price projections (asta deserta) and estimated additional costs. Filter by region, type and price. Export to JSON/CSV/Excel. - **URL**: https://apify.com/signalflow/italy-asteannunci.md - **Developed by:** [SignalFlow](https://apify.com/signalflow) (community) - **Categories:** Real estate, MCP servers - **Stats:** 1 total users, 1 monthly users, 94.4% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 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 ## ๐Ÿ‡ฎ๐Ÿ‡น Italy AsteAnnunci Judicial Auctions Scraper Extract structured data for **Italian judicial real-estate auctions** from [AsteAnnunci.it](https://www.asteannunci.it) โ€” the country's largest aggregator of court-ordered property sales. Get base prices, minimum bids, court details, sale dates, addresses, surface areas and **smart investment calculations** โ€” ready for CRM import, spreadsheet analysis, mapping or automated alerting. --- ### ๐ŸŽฏ Why use this Scraper? The AsteAnnunci portal lists thousands of auctions, but there's no built-in export. Digging through pages one-by-one is slow and error-prone. This Actor solves that by: * **Bulk extraction** of every auction in a region โ€” or the whole country. * **Clean, structured output** (JSON / Excel / CSV) instead of manual copy-paste. * **Smart, Italy-specific fields** โ€” the projected next-round base price and minimum bid if the auction goes deserted (โˆ’25% per Art. 571 c.p.c.), plus an estimate of the *spese accessorie* (~15%) the buyer pays on top of the bid. * **Every listing shown** โ€” unscheduled auctions (no base price yet) appear with `N/A` for the price rather than being hidden, so nothing is missed. * **๐Ÿ’Ž Premium perizia extraction (optional)** โ€” enable `extract_from_perizia` to read the appraisal PDF and recover the **appraised market value** for those unpriced listings โ€” turning empty rows into priced, actionable data. *(Note: works only on text-based perizia PDFs; scanned/image-only PDFs cannot be read and are charged nothing.)* * **GPS coordinates on every record**, so you can map properties or calculate distances. * **Court and procedure data** (tribunale, RGE number, sale type) for legal due-diligence. --- ### ๐Ÿข Use Cases * **Real-estate investment:** build watch-lists of undervalued properties by region and price bracket. * **Legal services:** track auctions by court, procedure number or custodian for client advisory. * **Market research:** analyse auction volume, price trends and surface-area metrics across Italy. * **Data enrichment:** append auction data and coordinates to an existing property database. --- ### ๐Ÿ“ฆ Output Data Each result is a structured record with the following fields: `id_inserzione`, `tipo`, `prezzo_base`, `prezzo_base_fmt`, `valore_perizia`, `valore_perizia_fmt`, `offerta_minima`, `offerta_minima_fmt`, `rilancio_minimo`, `rilancio_minimo_fmt`, `tribunale`, `numero_procedura`, `data_vendita`, `tipo_vendita`, `indirizzo`, `comune`, `provincia`, `categoria`, `superficie_mq`, `descrizione`, `custode`, `detail_url`, `pdf_url`, `photos`, `lat`, `lng`, `google_maps_url`, `status`, `proiezione_prossimo_prezzo_base`, `proiezione_prossima_offerta_minima`, `stima_spese_accessorie`, `price_per_mq`. #### Example output > โ„น๏ธ The values below are **illustrative samples**, not a real auction. ```json { "id_inserzione": "1234567", "tipo": "Appartamento", "prezzo_base": 88000.0, "prezzo_base_fmt": "โ‚ฌ 88.000,00", "offerta_minima": 66000.0, "offerta_minima_fmt": "โ‚ฌ 66.000,00", "rilancio_minimo": 1000.0, "rilancio_minimo_fmt": "โ‚ฌ 1.000,00", "tribunale": "Milano", "numero_procedura": "302/2024", "data_vendita": "09/06/2026 - 14:30", "tipo_vendita": "Senza Incanto", "indirizzo": "Via Roma 1", "comune": "Milano", "provincia": "Milano", "categoria": "residenziale", "superficie_mq": 75.0, "descrizione": "Appartamento al primo piano composto da due vani...", "custode": "Mario Rossi", "detail_url": "https://www.asteannunci.it/aste/1234567/1001/appartamento-milano", "pdf_url": "N/A", "photos": [], "lat": "45.4642", "lng": "9.1900", "google_maps_url": "https://www.google.com/maps/search/?api=1&query=Via+Roma+1%2C+Milano%2C+Milano", "status": "active", "proiezione_prossimo_prezzo_base": "โ‚ฌ 66.000,00", "proiezione_prossima_offerta_minima": "โ‚ฌ 49.500,00", "stima_spese_accessorie": "โ‚ฌ 9.900,00", "price_per_mq": 1173.33 } ```` > **About the calculated fields (Italian auction law, Art. 571 c.p.c.):** the *offerta minima* is > already the legal floor โ€” a bidder may offer up to **25% below** the *prezzo base*. The smart fields > help you decide whether to bid now or wait for the next round: > > - **`proiezione_prossimo_prezzo_base`** โ€” if the auction goes deserted (*asta deserta*), the judge > relists at a base price ~**25% lower**. This is that projected next base price. > - **`proiezione_prossima_offerta_minima`** โ€” the minimum bid for that next round (a further โˆ’25%). > - **`stima_spese_accessorie`** โ€” estimated *spese accessorie* (transfer tax, notary and delegate fees) > the buyer pays **on top** of the bid, ~15% of the *offerta minima*. *** ### โš™๏ธ Input | Field | Type | Default | Description | |---|---|---|---| | `regione` | `string` | `"lombardia"` | Italian region slug (e.g. `lombardia`, `lazio`, `toscana`). | | `provincia` | `string` | `""` | Optional province filter (e.g. `Milano`, `Brescia`). | | `categoria` | `string` | `""` | Optional category: `residenziale`, `commerciale`, `terreni`, `box/garage`. | | `min_prezzo` | `integer` | `0` | Minimum base price in โ‚ฌ. `0` = no filter. | | `max_prezzo` | `integer` | `0` | Maximum base price in โ‚ฌ. `0` = no filter. | | `max_items` | `integer` | `100` | Maximum auctions to scrape. `0` = unlimited. | | `download_pdf` | `boolean` | `true` | Save perizia/ordinanza PDFs to permanent storage. Set `false` to keep only source links. | | `include_unpriced` | `boolean` | `true` | Include unscheduled listings (price shown as `N/A`). Set `false` to keep only priced auctions. | | `extract_from_perizia` | `boolean` | `false` | **Premium:** for unpriced listings, read the perizia PDF and extract the appraised market value into `valore_perizia`. Adds a premium charge per value successfully extracted. Works only on text-based PDFs (not scanned/image-only). | | `concurrency` | `integer` | `6` | How many auction pages to fetch in parallel. | *** ### ๐Ÿ’ก Tips - **Target a region** with the `regione` filter for a focused, fast export (e.g. all Lombardia auctions). - **Combine filters:** use `provincia` + `categoria` to narrow down to apartments in Milan. - **Price scouting:** set `min_prezzo` and `max_prezzo` to find auctions in your investment bracket. - **PDF documents are saved by default** to permanent storage, so the perizia/ordinanza is never lost if the source link expires. Set `download_pdf: false` to keep only the source links for slightly faster runs. - **Full region export:** set `max_items: 0` and run it on the Apify scheduler to keep the dataset fresh. *** ### ๐Ÿ’Ž Premium: appraised value from the perizia Many Italian auctions are listed before a sale date and price are set โ€” these show `N/A` for the base price. Enable **`extract_from_perizia`** and the Actor opens the official *perizia* (court appraisal) PDF for each such listing and extracts the **appraised market value** into `valore_perizia`, turning an empty row into a priced, actionable one. - **Charged only on success** โ€” you pay the premium per value actually extracted; failures cost nothing. - **โš ๏ธ Text-based PDFs only.** Some perizie are **scanned images** (no text layer); these cannot be read and return `N/A` (and are not charged). Typically a majority of perizie are text-based and work. - Slower than a standard run, since it downloads and parses a PDF per unpriced listing. *** ### ๐Ÿค– Use it as an AI Tool (MCP) This Actor is **Model Context Protocol (MCP) compatible**, so AI assistants like Claude can call it directly through the [Apify MCP Server](https://mcp.apify.com/). The input is described so an assistant can fill it in from a natural-language request, for example: > *"Find 20 active judicial auctions in Lombardia under โ‚ฌ150,000 and return their addresses, sale dates and minimum bids."* The assistant maps that to `regione: "lombardia"`, `max_prezzo: 150000`, `max_items: 20` and reads the structured results โ€” no manual configuration needed. *** ### ๐Ÿ‡ฎ๐Ÿ‡น Per investitori e professionisti italiani Questo Actor estrae le **aste giudiziarie immobiliari** pubblicate su [AsteAnnunci.it](https://www.asteannunci.it). Ideale per investitori immobiliari, agenzie, avvocati e "astisti" che cercano immobili sotto il valore di mercato. #### ๐Ÿš€ Perchรฉ usarlo? - **Estrazione massiva** di tutte le aste di una regione โ€” o di tutta Italia. - **Dati strutturati** (JSON / Excel / CSV) invece di sfogliare gli annunci uno per uno. - **Documenti ufficiali**: download di perizia, ordinanza e avviso (PDF) salvati in modo permanente. #### ๐Ÿ’ฐ Campi intelligenti (conformi all'art. 571 c.p.c.) Il *prezzo base* รจ fissato dal giudice; l'*offerta minima* รจ giร  il minimo legale (fino al โˆ’25%). Per aiutarti a decidere se rilanciare ora o aspettare il prossimo turno forniamo: - **`proiezione_prossimo_prezzo_base`** โ€” prezzo base del prossimo turno in caso di asta deserta (โˆ’25%). - **`proiezione_prossima_offerta_minima`** โ€” offerta minima del prossimo turno (ulteriore โˆ’25%). - **`stima_spese_accessorie`** โ€” stima delle spese accessorie (imposte, notaio, delegato), ~15% in piรน. #### ๐ŸŽฏ Casi d'uso - **Investitori** โ€” individuare immobili sotto il valore di mercato prima dell'asta. - **Ricerca di mercato** โ€” analizzare prezzi base, superfici e prezzo al mยฒ per regione. - **Lead generation** โ€” costruire liste di aste per servizi immobiliari. I dati possono essere esportati in JSON, CSV, Excel o XML. *** ### ๐Ÿ“œ Disclaimer This Actor extracts **publicly available judicial auction data** from AsteAnnunci.it. You are responsible for using the data in compliance with applicable laws. Do not use the data for unsolicited marketing. Auction details change frequently โ€” always verify critical information (dates, prices, terms) directly on the source page before making decisions. # Actor input Schema ## `regione` (type: `string`): Italian region slug, e.g. 'lombardia', 'lazio', 'toscana'. Use the URL-friendly form (lowercase, hyphens for spaces). ## `provincia` (type: `string`): Filter by province name, e.g. 'Milano', 'Brescia'. Leave empty to scrape all provinces in the region. ## `categoria` (type: `string`): Property category filter. ## `min_prezzo` (type: `integer`): Minimum base price filter. 0 = no filter. ## `max_prezzo` (type: `integer`): Maximum base price filter. 0 = no filter. ## `max_items` (type: `integer`): Maximum number of auctions to scrape. 0 = unlimited. ## `download_pdf` (type: `boolean`): Save each perizia/ordinanza PDF to permanent storage and return a stable URL, so the document is never lost even if the source link expires. On by default; turn off to only keep the original source links (slightly faster). ## `proxyConfiguration` (type: `object`): Proxy settings. This Actor automatically uses the Apify RESIDENTIAL proxy for the (small) listing pages โ€” the source throttles datacenter IPs โ€” and the cheaper datacenter proxy for the (large) PDF downloads, to keep runs both fast and low-cost. Residential proxy usage is billed by Apify. ## `include_unpriced` (type: `boolean`): Include unscheduled listings (no base price). On by default โ€” they are shown with a price of 0. Turn off to keep only listings that have a base price. ## `concurrency` (type: `integer`): How many auction pages to fetch in parallel. Lower = gentler on the site (fewer rate-limits); higher = faster. The Actor also paces requests automatically to avoid throttling. ## `extract_from_perizia` (type: `boolean`): PREMIUM: for unscheduled listings with no base price, read the perizia (appraisal) PDF and extract the appraised market value. Adds a per-document premium charge for each value successfully extracted. Slower, but turns empty listings into priced ones. ## Actor input object example ```json { "regione": "lombardia", "provincia": "", "categoria": "", "min_prezzo": 0, "max_prezzo": 0, "max_items": 100, "download_pdf": true, "proxyConfiguration": { "useApifyProxy": true }, "include_unpriced": true, "concurrency": 4, "extract_from_perizia": false } ``` # Actor output Schema ## `dataset` (type: `string`): All scraped items in a table you can view, filter and export (JSON, CSV, Excel, XML). ## `documents` (type: `string`): Auction PDF documents saved to the key-value store (permanent links). # 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 = { "regione": "lombardia" }; // Run the Actor and wait for it to finish const run = await client.actor("signalflow/italy-asteannunci").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "regione": "lombardia" } # Run the Actor and wait for it to finish run = client.actor("signalflow/italy-asteannunci").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "regione": "lombardia" }' | apify call signalflow/italy-asteannunci --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=signalflow/italy-asteannunci", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Italy AsteAnnunci Judicial Auctions Scraper", "description": "Scrape asteannunci.it โ€” Italian property auctions (aste giudiziarie): prezzo base, offerta minima, court, sale date, address, surface and PDF documents, plus next-round price projections (asta deserta) and estimated additional costs. Filter by region, type and price. Export to JSON/CSV/Excel.", "version": "0.1", "x-build-id": "HqPUfiRYkPce9SDoO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/signalflow~italy-asteannunci/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-signalflow-italy-asteannunci", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/signalflow~italy-asteannunci/runs": { "post": { "operationId": "runs-sync-signalflow-italy-asteannunci", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/signalflow~italy-asteannunci/run-sync": { "post": { "operationId": "run-sync-signalflow-italy-asteannunci", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "regione" ], "properties": { "regione": { "title": "Regione", "enum": [ "abruzzo", "basilicata", "calabria", "campania", "emilia-romagna", "estero", "friuli-venezia-giulia", "lazio", "liguria", "lombardia", "marche", "molise", "piemonte", "puglia", "sardegna", "sicilia", "toscana", "trentino-alto-adige", "umbria", "valle-d-aosta", "veneto" ], "type": "string", "description": "Italian region slug, e.g. 'lombardia', 'lazio', 'toscana'. Use the URL-friendly form (lowercase, hyphens for spaces).", "default": "lombardia" }, "provincia": { "title": "Provincia (optional)", "type": "string", "description": "Filter by province name, e.g. 'Milano', 'Brescia'. Leave empty to scrape all provinces in the region.", "default": "" }, "categoria": { "title": "Categoria (optional)", "enum": [ "", "residenziale", "commerciale", "terreni", "box/garage" ], "type": "string", "description": "Property category filter.", "default": "" }, "min_prezzo": { "title": "Prezzo minimo (โ‚ฌ)", "minimum": 0, "type": "integer", "description": "Minimum base price filter. 0 = no filter.", "default": 0 }, "max_prezzo": { "title": "Prezzo massimo (โ‚ฌ)", "minimum": 0, "type": "integer", "description": "Maximum base price filter. 0 = no filter.", "default": 0 }, "max_items": { "title": "Max items", "minimum": 0, "type": "integer", "description": "Maximum number of auctions to scrape. 0 = unlimited.", "default": 100 }, "download_pdf": { "title": "Scarica PDF", "type": "boolean", "description": "Save each perizia/ordinanza PDF to permanent storage and return a stable URL, so the document is never lost even if the source link expires. On by default; turn off to only keep the original source links (slightly faster).", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. This Actor automatically uses the Apify RESIDENTIAL proxy for the (small) listing pages โ€” the source throttles datacenter IPs โ€” and the cheaper datacenter proxy for the (large) PDF downloads, to keep runs both fast and low-cost. Residential proxy usage is billed by Apify.", "default": { "useApifyProxy": true } }, "include_unpriced": { "title": "Include unscheduled auctions", "type": "boolean", "description": "Include unscheduled listings (no base price). On by default โ€” they are shown with a price of 0. Turn off to keep only listings that have a base price.", "default": true }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 15, "type": "integer", "description": "How many auction pages to fetch in parallel. Lower = gentler on the site (fewer rate-limits); higher = faster. The Actor also paces requests automatically to avoid throttling.", "default": 4 }, "extract_from_perizia": { "title": "Extract price from perizia PDF (premium)", "type": "boolean", "description": "PREMIUM: for unscheduled listings with no base price, read the perizia (appraisal) PDF and extract the appraised market value. Adds a per-document premium charge for each value successfully extracted. Slower, but turns empty listings into priced ones.", "default": false } } }, "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 } } } } } } } } } } ```