# Airbnb Scraper — Listings Search & Detail (`nomad-agent/airbnb-scraper`) Actor Scrape Airbnb listings into clean structured JSON. Search any location with dates, guests, price and room-type filters — automatic price-range splitting gets past Airbnb's ~270-result cap. Or pass listing URLs for full detail: price, rating, coordinates, host, amenities count, description. - **URL**: https://apify.com/nomad-agent/airbnb-scraper.md - **Developed by:** [Nomad.Dev](https://apify.com/nomad-agent) (community) - **Categories:** Travel - **Stats:** 2 total users, 1 monthly users, 85.7% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.40 / 1,000 listing 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 ## Airbnb Scraper — Listings Search & Detail Scrape Airbnb listings into clean, structured JSON — search any location with dates, guests, price, room-type and bedroom/bed filters, or resolve listing URLs to full detail records (optionally including an availability calendar). Built for reliability: automatic price-range splitting gets past Airbnb's ~270-result cap, blocks are classified and logged (never crash a run), and every record comes back in one flat, predictable shape. ### What Airbnb data does this scraper extract? One flat JSON record per listing: | Field | Meaning | |---|---| | `id` | Airbnb listing id | | `url` | Direct `airbnb.com/rooms/...` link | | `title` | Listing name | | `propertyType` | e.g. "Entire rental unit", "Apartment in Lisbon" | | `price` / `currency` / `pricePer` | Numeric price, ISO currency, qualifier (`total` / `night`) | | `rating` / `reviewsCount` | Guest rating and review count | | `roomType` | Entire home/apt, Private room, Shared room, Hotel room | | `beds` / `bedrooms` / `baths` | Where Airbnb exposes them | | `lat` / `lng` | Listing coordinates | | `hostName` | Host first name (detail mode) | | `imagesCount` | Number of photos | | `amenitiesCount` | Number of amenities (detail mode) | | `personCapacity` / `isSuperhost` / `description` | Detail mode extras | | `calendar` | `[{month, year, availableDays}, ...]` — only populated when `calendarMonths` > 0 (detail mode); otherwise `null` | | `mode` | `search` or `detail` | ### Input | Name | Type | Default | Description | |---|---|---|---| | `mode` | string (`search` \| `detail`) | `"search"` | Search a location, or resolve specific listing URLs/ids to full detail records. | | `location` | string | — | Where to search, as typed on airbnb.com (e.g. `"Lisbon, Portugal"`). Required in search mode. | | `listingUrls` | array of strings | — | Listing URLs or bare numeric ids. Required in detail mode. | | `checkIn` / `checkOut` | string (`YYYY-MM-DD`) | — | Optional dates. With both set, prices become stay totals. | | `priceMin` / `priceMax` | integer | `0` | Nightly price filter bounds. `0` = no bound. | | `adults` / `children` | integer | `0` | Guest counts. | | `roomType` | string (enum) | `"any"` | `any`, `entire_home`, `private_room`, `shared_room`, `hotel_room`. | | `minBedrooms` | integer | `0` | Only listings with at least this many bedrooms. `0` = no filter. | | `minBeds` | integer | `0` | Only listings with at least this many beds. `0` = no filter. | | `minBathrooms` | integer | `0` | Only listings with at least this many bathrooms. `0` = no filter. | | `calendarMonths` | integer | `0` | Detail mode only. Fetch this many months (0–6) of availability into the `calendar` output field. `0` = skip. Best-effort (see Known limitations). | | `maxItems` | integer | `100` | Hard cap on listings returned. | | `currency` | string | `"USD"` | ISO currency code for returned prices. | | `concurrency` *(Advanced)* | integer | `2` | Parallel listing fetches in detail mode (max `4`). Keep low — Airbnb rate-limits aggressively. | | `maxPriceSplits` *(Advanced)* | integer | `8` | How many times a search may auto-split its price range past the ~270-result cap. Lower it to cap cost on dense markets. | | `proxyConfiguration` | object | Apify Residential | Proxy group. Residential is strongly recommended — see Pricing below for its separate billing. | ### How to scrape Airbnb listings with this Actor **Search mode** — set `location` (e.g. `"Lisbon, Portugal"`), optionally `checkIn`/`checkOut`, `priceMin`/`priceMax` (per night), `adults`, `roomType`, `minBedrooms`/`minBeds`/`minBathrooms` and `maxItems`. With dates set, prices are stay totals for those dates. When a query hits Airbnb's ~270-result ceiling, the Actor automatically splits the price range into sub-ranges (up to `maxPriceSplits` times) and searches each — so large markets still come back complete up to your `maxItems`. **Detail mode** — set `mode` to `detail` and pass `listingUrls` (full URLs or bare numeric ids). Each listing resolves to a full record including coordinates, per-category ratings source, host, photo and amenity counts, a plain-text description, and — if you set `calendarMonths` — a month-by-month availability summary. ```python from apify_client import ApifyClient client = ApifyClient("") run = client.actor("nomad-agent/airbnb-scraper").call(run_input={ "mode": "search", "location": "Lisbon, Portugal", "checkIn": "2026-09-23", "checkOut": "2026-09-28", "priceMax": 150, "maxItems": 200, "proxyConfiguration": {"useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"]}, }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item["price"], item["currency"], "|", item["title"], item["url"]) ```` ```bash curl -X POST \ "https://api.apify.com/v2/acts/nomad-agent~airbnb-scraper/run-sync-get-dataset-items?token=" \ -H "Content-Type: application/json" \ -d '{"mode": "detail", "listingUrls": ["https://www.airbnb.com/rooms/796929"]}' ``` ### Output example Real `push_data` shape (detail mode, live-fetched 2026-07 — `description` truncated for brevity): ```json { "id": "796929", "url": "https://www.airbnb.com/rooms/796929", "title": "Rental unit in Lisbon", "propertyType": "Entire rental unit", "price": 465.0, "currency": "EUR", "pricePer": "total", "rating": 4.92, "reviewsCount": 463, "roomType": "Entire home/apt", "beds": 2.0, "bedrooms": 1.0, "baths": 1.0, "lat": 38.71991, "lng": -9.13289, "hostName": "Bruno", "imagesCount": 44, "amenitiesCount": 63, "personCapacity": 4, "isSuperhost": true, "description": "A very cool flat in a great location! ...", "calendar": null, "mode": "detail" } ``` With `calendarMonths` set (e.g. `2`), `calendar` is populated instead of `null`: ```json "calendar": [ {"month": 7, "year": 2026, "availableDays": 2}, {"month": 8, "year": 2026, "availableDays": 8} ] ``` ### Pricing Pay per event: **$0.05 per Actor start** and **$0.004 per listing returned**. 100 listings ≈ $0.45. No subscription — pay only for what you fetch. **Residential proxy is billed separately.** The default `proxyConfiguration` prefill (`{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}`) turns Apify's Residential Proxy **on by default**, and that traffic is billed separately from the actor's own pay-per-event pricing above — per GB, on top of your Apify plan. As of 2026, Apify lists Residential Proxy at roughly **$7–8/GB depending on plan tier** (Free/Starter ≈ $8/GB, Scale ≈ $7.5/GB, Business ≈ $7/GB) — **check [Apify's current proxy pricing](https://apify.com/pricing) for the up-to-date rate**, since this changes independently of this Actor. If cost-sensitive, you can switch `proxyConfiguration` to a datacenter group or disable it, at the risk of more frequent blocks (see Anti-blocking notes). ### Integrations Dataset results export straight to JSON, CSV, Excel/XLSX, or a plain HTML table from the Apify Console. Pull them into Make, Zapier or n8n via Apify's native integrations, call `run-sync-get-dataset-items` from any HTTP client (see the `curl` example above), or use the [Apify MCP server](https://apify.com/apify/actors-mcp-server) to let an LLM agent drive this Actor and read results directly. ### Why this Actor? Airbnb scrapers are notorious for flaky runs and messy nested output. This one is built around three choices: (1) it reads the same structured payloads Airbnb's own site renders from, not brittle HTML selectors; (2) every record is one flat object with stable field names — no digging through `sections[12].section.cardData`; (3) blocks and rate limits are detected and reported with the partial results you already paid for, instead of a crashed run. ### Anti-blocking notes Airbnb aggressively blocks datacenter and shared IPs. **Residential proxies are strongly recommended** — set `proxyConfiguration` to Apify residential (the default prefill). The Actor uses a fixed browser User-Agent, randomized 1–2.5 s delays between requests, and low concurrency (default 2, max 4). A 403/429/challenge response stops the run gracefully and keeps everything collected so far. ### Use cases - Market and pricing research for short-term rentals (STR analytics) - Competitive sets for property managers and revenue managers - Feeding availability/pricing data into investment models - Monitoring specific listings (price, rating, review count over time) ### FAQ **Is it legal to scrape Airbnb?** The Actor only reads publicly visible listing data — the same data any logged-out visitor sees. Review Airbnb's terms and your local regulations for your use case; you are responsible for how you use the data. **Why do I get fewer results than Airbnb claims exist?** Airbnb itself only serves ~15 pages (~270 listings) per query. The Actor splits price ranges to go past that; extremely dense markets may still need narrower filters (dates, room type). **Why are prices totals, not per night?** With `checkIn`/`checkOut` set (or when Airbnb picks default dates), listing cards show stay totals — `pricePer` tells you which one you got. Divide by nights for a nightly rate. **The run says "blocked" — what now?** Switch to residential proxies, lower concurrency to 1, and retry. Partial results are kept. **Can I filter by property type (house, apartment, guesthouse, ...) instead of room type?** Not currently. `roomType` (entire home / private room / shared room / hotel room) is a confirmed, documented-by-reverse-engineering raw filter on Airbnb's search page. A separate "property type" facet (house vs. apartment vs. guesthouse) does not have a similarly discoverable raw query param on the public search page — Airbnb only exposes that facet through its interactive UI, not a stable URL param we could verify. `propertyType` is still returned per-listing in the output (e.g. `"Entire rental unit"`) — it just isn't a request-side filter. **How reliable is `calendarMonths`?** It replays an internal, unauthenticated Airbnb GraphQL persisted query (`PdpAvailabilityCalendar`) using a known-good operation hash — live-verified working as of 2026-07. Unlike the amenities count (whose operation hash is rediscovered from a JS bundle on every run), this hash is not currently re-discoverable at runtime from any bundle we could find referenced by the listing page, so it's a static snapshot. If Airbnb ever rotates it, calendar fetches fail closed (best-effort — the rest of the record is unaffected) and `calendar` comes back `null` for that run until the Actor is updated. **Something broken or missing?** Open an issue on the Actor's **Issues** tab — it is monitored and fixes ship fast. ### Related Actors - [Greenhouse Jobs Scraper — Company Job Boards](https://apify.com/nomad-agent/greenhouse-jobs-scraper) - [Lever Jobs Scraper — Company Job Postings API](https://apify.com/nomad-agent/lever-jobs-scraper) - [LinkedIn Jobs Scraper — No Login, No Cookies](https://apify.com/nomad-agent/linkedin-scraper) ### Attribution See `NOTICE`. Price-range-splitting pagination strategy inspired by [digital-engineering/airbnb-scraper](https://github.com/digital-engineering/airbnb-scraper) (GPL-3.0) — **algorithm inspiration only, no code copied, translated or derived**. All code in this Actor was written from scratch against Airbnb's current site (2026) and is MIT-licensed. # Actor input Schema ## `mode` (type: `string`): search = scrape listings for a location; detail = resolve listing URLs/ids to full records. ## `location` (type: `string`): Where to search, as you would type it on airbnb.com (e.g. Lisbon, Portugal, Brooklyn, NY). Required in search mode. ## `listingUrls` (type: `array`): Listings to fetch in detail mode — full https://www.airbnb.com/rooms/... URLs or bare numeric ids. ## `checkIn` (type: `string`): Optional check-in date (YYYY-MM-DD). With checkOut set, prices become stay totals for those dates. ## `checkOut` (type: `string`): Optional check-out date (YYYY-MM-DD). ## `priceMin` (type: `integer`): Lower bound for the nightly price filter. 0 = no bound. ## `priceMax` (type: `integer`): Upper bound for the nightly price filter. 0 = no bound. ## `adults` (type: `integer`): Number of adult guests. 0 = Airbnb default. ## `children` (type: `integer`): Number of child guests. ## `roomType` (type: `string`): Filter by room type. ## `minBedrooms` (type: `integer`): Only show listings with at least this many bedrooms. 0 = no filter. ## `minBeds` (type: `integer`): Only show listings with at least this many beds. 0 = no filter. ## `minBathrooms` (type: `integer`): Only show listings with at least this many bathrooms. 0 = no filter. ## `calendarMonths` (type: `integer`): Detail mode only. Fetch this many months of day-level availability per listing (starting from checkIn's month, or the current month) and summarize it into the calendar output field. 0 = skip (default). Best-effort against an internal, unauthenticated Airbnb endpoint — may silently return nothing if Airbnb changes it. ## `maxItems` (type: `integer`): Hard cap on listings returned. Search mode auto-splits price ranges to reach it past Airbnb's ~270-result cap. ## `currency` (type: `string`): ISO currency code for returned prices (USD, EUR, GBP, ...). ## `concurrency` (type: `integer`): Parallel listing fetches in detail mode. Keep low — Airbnb rate-limits aggressively. ## `maxPriceSplits` (type: `integer`): How many times a search is allowed to auto-split its price range to get past Airbnb's ~270-result cap (search mode). Higher = more complete results for huge markets, at the cost of more requests. Lower it to cap cost for dense locations. ## `proxyConfiguration` (type: `object`): Airbnb frequently blocks datacenter IPs — residential proxies are strongly recommended. ## Actor input object example ```json { "mode": "search", "location": "Lisbon, Portugal", "priceMin": 0, "priceMax": 0, "adults": 0, "children": 0, "roomType": "any", "minBedrooms": 0, "minBeds": 0, "minBathrooms": 0, "calendarMonths": 0, "maxItems": 20, "currency": "USD", "concurrency": 1, "maxPriceSplits": 2, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `dataset` (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 = { "location": "Lisbon, Portugal", "maxItems": 20, "concurrency": 1, "maxPriceSplits": 2, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("nomad-agent/airbnb-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 = { "location": "Lisbon, Portugal", "maxItems": 20, "concurrency": 1, "maxPriceSplits": 2, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("nomad-agent/airbnb-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 '{ "location": "Lisbon, Portugal", "maxItems": 20, "concurrency": 1, "maxPriceSplits": 2, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call nomad-agent/airbnb-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nomad-agent/airbnb-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Airbnb Scraper — Listings Search & Detail", "description": "Scrape Airbnb listings into clean structured JSON. Search any location with dates, guests, price and room-type filters — automatic price-range splitting gets past Airbnb's ~270-result cap. Or pass listing URLs for full detail: price, rating, coordinates, host, amenities count, description.", "version": "0.2", "x-build-id": "Gz4EjawI2DG8gcsFE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nomad-agent~airbnb-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nomad-agent-airbnb-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nomad-agent~airbnb-scraper/runs": { "post": { "operationId": "runs-sync-nomad-agent-airbnb-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nomad-agent~airbnb-scraper/run-sync": { "post": { "operationId": "run-sync-nomad-agent-airbnb-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "mode": { "title": "Mode", "enum": [ "search", "detail" ], "type": "string", "description": "search = scrape listings for a location; detail = resolve listing URLs/ids to full records.", "default": "search" }, "location": { "title": "Location", "type": "string", "description": "Where to search, as you would type it on airbnb.com (e.g. Lisbon, Portugal, Brooklyn, NY). Required in search mode." }, "listingUrls": { "title": "Listing URLs or ids", "type": "array", "description": "Listings to fetch in detail mode — full https://www.airbnb.com/rooms/... URLs or bare numeric ids.", "items": { "type": "string" } }, "checkIn": { "title": "Check-in date", "type": "string", "description": "Optional check-in date (YYYY-MM-DD). With checkOut set, prices become stay totals for those dates." }, "checkOut": { "title": "Check-out date", "type": "string", "description": "Optional check-out date (YYYY-MM-DD)." }, "priceMin": { "title": "Min price per night", "minimum": 0, "type": "integer", "description": "Lower bound for the nightly price filter. 0 = no bound.", "default": 0 }, "priceMax": { "title": "Max price per night", "minimum": 0, "type": "integer", "description": "Upper bound for the nightly price filter. 0 = no bound.", "default": 0 }, "adults": { "title": "Adults", "minimum": 0, "type": "integer", "description": "Number of adult guests. 0 = Airbnb default.", "default": 0 }, "children": { "title": "Children", "minimum": 0, "type": "integer", "description": "Number of child guests.", "default": 0 }, "roomType": { "title": "Room type", "enum": [ "any", "entire_home", "private_room", "shared_room", "hotel_room" ], "type": "string", "description": "Filter by room type.", "default": "any" }, "minBedrooms": { "title": "Min bedrooms", "minimum": 0, "type": "integer", "description": "Only show listings with at least this many bedrooms. 0 = no filter.", "default": 0 }, "minBeds": { "title": "Min beds", "minimum": 0, "type": "integer", "description": "Only show listings with at least this many beds. 0 = no filter.", "default": 0 }, "minBathrooms": { "title": "Min bathrooms", "minimum": 0, "type": "integer", "description": "Only show listings with at least this many bathrooms. 0 = no filter.", "default": 0 }, "calendarMonths": { "title": "Availability calendar (months)", "minimum": 0, "maximum": 6, "type": "integer", "description": "Detail mode only. Fetch this many months of day-level availability per listing (starting from checkIn's month, or the current month) and summarize it into the calendar output field. 0 = skip (default). Best-effort against an internal, unauthenticated Airbnb endpoint — may silently return nothing if Airbnb changes it.", "default": 0 }, "maxItems": { "title": "Max items", "minimum": 1, "type": "integer", "description": "Hard cap on listings returned. Search mode auto-splits price ranges to reach it past Airbnb's ~270-result cap.", "default": 100 }, "currency": { "title": "Currency", "type": "string", "description": "ISO currency code for returned prices (USD, EUR, GBP, ...).", "default": "USD" }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 4, "type": "integer", "description": "Parallel listing fetches in detail mode. Keep low — Airbnb rate-limits aggressively.", "default": 2 }, "maxPriceSplits": { "title": "Max price-range splits", "minimum": 0, "maximum": 10, "type": "integer", "description": "How many times a search is allowed to auto-split its price range to get past Airbnb's ~270-result cap (search mode). Higher = more complete results for huge markets, at the cost of more requests. Lower it to cap cost for dense locations.", "default": 8 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Airbnb frequently blocks datacenter IPs — residential proxies are strongly recommended." } } }, "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 } } } } } } } } } } ```