# Airbnb Occupancy, ADR & Market Report 📈: AirDNA Alternative (`tagadanar/airbnb-str-yield`) Actor

Turn any Airbnb search into occupancy, ADR, RevPAR and revenue yield data, with comp-set percentile ranks and a market-wide report. Pay per pull from $0.004/listing, no subscription.

- **URL**: https://apify.com/tagadanar/airbnb-str-yield.md
- **Developed by:** [tagada](https://apify.com/tagadanar) (community)
- **Categories:** Real estate, Travel, Open source
- **Stats:** 3 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.00 / 1,000 listing analyzeds

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 Occupancy & Revenue Calculator 📈: STR Yield Data (AirDNA Alternative)

**Turn any Airbnb search area into short-term-rental yield data.** Paste a search URL, and this actor reads every listing in the area, pulls each one's **public availability calendar**, and computes **occupancy %, ADR (average daily rate), RevPAR, projected annual revenue and a seasonality curve** per listing, along with a **comp-set percentile rank**, *plus* an aggregate **market report** (median and quartile ADR, occupancy and RevPAR). It's the kind of AirDNA-style market intelligence that STR investors pay $20 to $300 a month for, except here it's **priced per pull, from $0.004/listing**.

Built for **STR / LMNP investors, revenue managers, hosts benchmarking their pricing, and AI agents** (REST API + MCP).

> **Why this instead of a raw Airbnb scraper?** A list of listings tells you what's *advertised*. Investors need what it *earns*: how often it's booked, at what nightly rate, how that ranks against the comp set, and how it swings by season. This actor does that transformation, and it's the **only** Airbnb actor that pairs per-listing yield with a quartile market report **and** states its occupancy method honestly.

### 💸 vs. the SaaS tools

| | Airbnb STR Yield (this actor) | AirDNA | Mashvisor | PriceLabs |
|---|---|---|---|---|
| Price | **$0.004 / listing · $0.49 / market report** | $20 to $300 / mo / market | $18 to $75 / mo | ~$20 / listing / mo |
| Billing | **Pay per pull** | Monthly seat | Monthly | Monthly |
| Raw data (CSV/JSON/API) | ✅ you own it | ✗ | limited | ✗ |

An investor screening **20 markets** pays ~**$10 once** here versus **$400+/month** of AirDNA seats, and still walks away with the raw data.

### What you get

- ✅ **Per-listing yield**: occupancy %, ADR, RevPAR and projected annual revenue, broken out over 30 / 60 / 90-day windows and capped at the host's **open booking horizon** (see method below).
- ✅ Each listing also carries a **comp-set percentile rank**, so "this unit's RevPAR is in the 78th percentile of its market" isn't just a number, it's a decision.
- ✅ A **market report** rolls it all up into one aggregate row per search: median and quartile ADR, occupancy and RevPAR across every analyzed listing, plus guest-favorite and private-host share.
- ✅ Occupancy is reported honestly, as a booked-night estimate *and* an upper bound, with a `confidence` flag and a disclosed `method`. Nobody else on the shelf tells you this.
- ✅ A **seasonality curve** shows month-by-month occupancy across the host's open window.
- ✅ You also get rich listing data: nightly rate, rating & reviews, property type, host type (particulier vs pro), coordinates, guest-favorite/superhost badges and photos.
- ✅ **Monitor mode** with Slack alerts lets you schedule daily runs that track *new* STR supply, and you're charged for new listings only.
- ✅ No API key, no login. Run on Apify with the Residential proxy.

### The 5-minute market study

1. On **airbnb.fr** (or .com), search your area (city / neighborhood) and copy the results-page URL.
2. Paste it into `searchUrls`, leave **`fetchCalendar`** and **`marketReport`** on.
3. Run. Every listing comes back with its yield + percentile rank, plus a market-report row of the medians.

Want a live feed of new supply? Turn on **`monitorMode`**, add a **Slack webhook**, and schedule it daily.

### Use cases

- For **STR / LMNP investment**, use it to underwrite a purchase: what do comparable flats in this street or arrondissement actually earn (ADR × occupancy = RevPAR), and where does a given unit rank? It also helps benchmark net yield after the *loi Le Meur* friction.
- For **revenue management**, check where your listing's ADR/occupancy sit versus the market quartiles, then adjust pricing by season.
- For **market research**, track ADR/occupancy/supply trends per market over time with scheduled runs.
- **AI agents** can query it through MCP, for instance asking for the *"median RevPAR for 2-bed apartments around Lyon Part-Dieu, and the 10 highest-yield listings."*

### Input

```json
{
    "searchUrls": ["https://www.airbnb.fr/s/Paris--11e-arrondissement/homes"],
    "fetchCalendar": true,
    "calendarMonths": 12,
    "marketReport": true,
    "onlyPrivateHost": false,
    "minReviews": 3,
    "monitorMode": false,
    "maxListings": 300
}
````

You can pass several search URLs (e.g. different neighborhoods). Each is a normal Airbnb results-page URL.

### Output

**Per listing:**

```json
{
    "source": "Airbnb",
    "id": "51692151",
    "url": "https://www.airbnb.fr/rooms/51692151",
    "name": "Charmant 2 pièces ⸱ Entre Buttes-Chaumont et canal",
    "propertyType": "Appartement",
    "city": "Paris",
    "latitude": 48.884, "longitude": 2.37458,
    "hostType": "Particulier", "isPrivateHost": true,
    "rating": 5.0, "reviewCount": 36, "isGuestFavorite": true,
    "adr": 96.98, "currency": "EUR",
    "yield": {
        "openHorizonDays": 168,
        "occupancyPct": 75.6,
        "occupancyUpperPct": 79.1,
        "revPar": 73.32,
        "projectedAnnualRevenue": 26760,
        "revParPercentile": 67,
        "occupancyPercentile": 67,
        "adrPercentile": 40,
        "windows": {
            "30": { "occupancyPct": 63.3, "revPar": 61.4, "booked": 19, "available": 11 },
            "90": { "occupancyPct": 75.6, "revPar": 73.32 }
        },
        "seasonality": [
            { "month": "2026-08", "occupancyPct": 74.2 },
            { "month": "2026-09", "occupancyPct": 58.1 }
        ],
        "confidence": "high",
        "method": "Occupancy inferred from the public calendar and capped at the host's open booking horizon…"
    }
}
```

**Market report (one row per search):**

```json
{
    "recordType": "market-report",
    "market": "Paris 11e arrondissement",
    "listingsAnalyzed": 280,
    "adr":          { "median": 132, "p25": 95, "p75": 189 },
    "occupancyPct": { "median": 61, "p25": 44, "p75": 78 },
    "revPar":       { "median": 80.5, "p25": 46.2, "p75": 131.4 },
    "guestFavoriteShare": 0.34,
    "privateHostShare": 0.71
}
```

### How occupancy is calculated (the honest part nobody else states)

Airbnb publishes **availability**, not bookings, so occupancy is **inferred**, transparently:

1. **Only the open booking window counts.** Far-future months are usually *closed* (the host hasn't opened them), not booked. Counting them as booked is how naive scrapers massively overstate occupancy. We cap every calculation at the host's **open horizon** (the last date that still has an available night) and exclude everything beyond it. `openHorizonDays` tells you how far that reaches.
2. **Booked vs blocked.** Inside the open window, a blocked run of **≥ 2 nights** is counted as a booking; an **isolated** single blocked night is treated as an owner block and excluded from the denominator.
3. **A band, not false precision.** `occupancyPct` is the booked-night estimate; `occupancyUpperPct` is the ceiling (every unavailable night treated as booked). Truth sits between, and the gap narrows as a listing's calendar matures.
4. **Confidence.** `confidence` reflects how much calendar the host has opened and how many reviews (booking history) the listing has.

This is a strong **directional index**, and a comparable one across a market, though not a substitute for a host's real booking log. No public tool has Airbnb's booking data; everyone infers it. We just tell you exactly how.

### Companion actors: the French property suite

Pair market-side Airbnb yield with buy-side French real-estate data:

- [**Real Estate Deal Score**](https://apify.com/tagadanar/french-real-estate-deal-score): asking price vs DVF sold prices (find the underpriced flat, then check its STR yield here).
- [**DVF: Official Sold Prices**](https://apify.com/tagadanar/french-real-estate-dvf) · [**PAP**](https://apify.com/tagadanar/french-real-estate-pap) · [**SeLoger**](https://apify.com/tagadanar/french-real-estate-seloger) · [**Logic-Immo**](https://apify.com/tagadanar/french-real-estate-logicimmo) · [**Pige Immobilière**](https://apify.com/tagadanar/french-real-estate-pige)

### Pricing

Pay per event, no subscription:

| Event | Price | When |
|---|---|---|
| Listing analyzed | **$0.004** ($4 / 1,000) | Per listing returned with its data & yield (in monitor mode: **new listings only**) |
| Market report | **$0.49** | Per aggregate market-report row |
| Actor start | $0.00005 (≈ zero) | Once per run |

Apify platform usage (compute + Residential proxy) is billed separately at platform rates, as with any browser-based actor.

You control spend with a per-run charge cap; you're never surprised by a bill.

### FAQ

**Do I need an Airbnb account or API key?** No. The actor reads Airbnb's public search pages and public availability calendars.

**Is the occupancy accurate?** It's an inferred, disclosed, comp-comparable index (see method above), excellent for ranking listings and markets and for trend tracking, though not a substitute for a host's real booking log. We're the only actor on the shelf that publishes its method and a confidence flag.

**Which countries?** Optimized for **euro-denominated markets** (`airbnb.fr` and any €-priced search), since that's where ADR parsing is fully supported today. Other domains (`airbnb.com`, `airbnb.co.uk`, …) return full listing + occupancy data, but non-€ nightly rates may come back as `adr: null` (RevPAR then unavailable). Multi-currency ADR is on the roadmap.

**How does monitor mode work?** It remembers listings already reported (per `monitorName`) and returns only new ones on the next scheduled run, so you're never charged twice for the same listing.

**Is it reliable?** Airbnb is read through a real browser with a Residential proxy; blocked requests retry with a fresh session. The availability endpoint is refreshed automatically each run.

**Does it work with AI agents?** Yes, via REST API and **MCP**, callable from Claude, Cursor & co.

***

*Keywords: airbnb scraper, airbnb occupancy rate, airbnb revenue calculator, ADR, RevPAR, STR analytics, short-term rental data, airbnb market research, AirDNA alternative, Mashvisor alternative, LMNP, rendement locatif, airbnb availability calendar, vacation rental yield, revenue management, seasonality, market report, proptech, MCP.*

# Actor input Schema

## `searchUrls` (type: `array`):

Paste one or more Airbnb search-results URLs — build the search on <b>airbnb.fr</b> (or .com) for your area/filters and copy the page URL, e.g. <code>https://www.airbnb.fr/s/Paris/homes</code>. The actor reads every listing in the area and computes occupancy, ADR and RevPAR from each one's public availability calendar.

## `fetchCalendar` (type: `boolean`):

Fetch each listing's public availability calendar and compute occupancy / RevPAR / seasonality. Turn off for a fast listings-only scrape (ADR + ratings, no yield).

## `calendarMonths` (type: `integer`):

How many months of forward availability to read per listing (drives the annual occupancy & seasonality curve).

## `marketReport` (type: `boolean`):

Also output one aggregate row per market: median/quartile ADR, occupancy and RevPAR across all analyzed listings — the AirDNA-style market snapshot.

## `onlyPrivateHost` (type: `boolean`):

Keep only listings hosted by a private individual (particulier), dropping professional property managers.

## `minAdr` (type: `integer`):

Keep only listings with an advertised nightly rate at or above this.

## `maxAdr` (type: `integer`):

Keep only listings with an advertised nightly rate at or below this.

## `minRating` (type: `integer`):

Keep only listings with at least this average rating (whole number, out of 5).

## `minReviews` (type: `integer`):

Keep only listings with at least this many reviews (a proxy for booking history / maturity).

## `propertyTypes` (type: `array`):

Keep only listings whose type contains one of these words (e.g. <code>Appartement</code>, <code>Maison</code>, <code>Studio</code>). Empty = all.

## `monitorMode` (type: `boolean`):

Remember what previous runs reported (per <code>monitorName</code>) and return only <b>new</b> listings. Schedule daily for a live feed of fresh STR supply — you're charged for new listings only.

## `monitorName` (type: `string`):

Name for this watch's memory of already-seen listings. Use a distinct name per saved search (e.g. <code>paris-11e</code>).

## `webhookUrl` (type: `string`):

Optional. A Slack incoming-webhook URL (or any endpoint) that receives a digest of the new listings — pairs with monitor mode + a daily schedule.

## `maxListings` (type: `integer`):

Stop after analyzing this many unique listings across all search URLs.

## Actor input object example

```json
{
  "searchUrls": [
    "https://www.airbnb.fr/s/Paris/homes"
  ],
  "fetchCalendar": true,
  "calendarMonths": 6,
  "marketReport": true,
  "onlyPrivateHost": false,
  "propertyTypes": [],
  "monitorMode": false,
  "monitorName": "default",
  "maxListings": 24
}
```

# Actor output Schema

## `listings` (type: `string`):

Per-listing records (occupancy, ADR, RevPAR, seasonality) plus a market-report row, in the default dataset.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchUrls": [
        "https://www.airbnb.fr/s/Paris/homes"
    ],
    "calendarMonths": 6,
    "maxListings": 24
};

// Run the Actor and wait for it to finish
const run = await client.actor("tagadanar/airbnb-str-yield").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "searchUrls": ["https://www.airbnb.fr/s/Paris/homes"],
    "calendarMonths": 6,
    "maxListings": 24,
}

# Run the Actor and wait for it to finish
run = client.actor("tagadanar/airbnb-str-yield").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 '{
  "searchUrls": [
    "https://www.airbnb.fr/s/Paris/homes"
  ],
  "calendarMonths": 6,
  "maxListings": 24
}' |
apify call tagadanar/airbnb-str-yield --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=tagadanar/airbnb-str-yield",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Airbnb Occupancy, ADR & Market Report 📈: AirDNA Alternative",
        "description": "Turn any Airbnb search into occupancy, ADR, RevPAR and revenue yield data, with comp-set percentile ranks and a market-wide report. Pay per pull from $0.004/listing, no subscription.",
        "version": "0.1",
        "x-build-id": "gLGQpeVmo1hn2dmnc"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/tagadanar~airbnb-str-yield/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-tagadanar-airbnb-str-yield",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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/tagadanar~airbnb-str-yield/runs": {
            "post": {
                "operationId": "runs-sync-tagadanar-airbnb-str-yield",
                "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/tagadanar~airbnb-str-yield/run-sync": {
            "post": {
                "operationId": "run-sync-tagadanar-airbnb-str-yield",
                "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": [
                    "searchUrls"
                ],
                "properties": {
                    "searchUrls": {
                        "title": "Airbnb search URLs",
                        "type": "array",
                        "description": "Paste one or more Airbnb search-results URLs — build the search on <b>airbnb.fr</b> (or .com) for your area/filters and copy the page URL, e.g. <code>https://www.airbnb.fr/s/Paris/homes</code>. The actor reads every listing in the area and computes occupancy, ADR and RevPAR from each one's public availability calendar.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "fetchCalendar": {
                        "title": "Compute yield (fetch availability calendars)",
                        "type": "boolean",
                        "description": "Fetch each listing's public availability calendar and compute occupancy / RevPAR / seasonality. Turn off for a fast listings-only scrape (ADR + ratings, no yield).",
                        "default": true
                    },
                    "calendarMonths": {
                        "title": "Calendar months ahead",
                        "minimum": 1,
                        "maximum": 12,
                        "type": "integer",
                        "description": "How many months of forward availability to read per listing (drives the annual occupancy & seasonality curve).",
                        "default": 12
                    },
                    "marketReport": {
                        "title": "Add a market-level yield report",
                        "type": "boolean",
                        "description": "Also output one aggregate row per market: median/quartile ADR, occupancy and RevPAR across all analyzed listings — the AirDNA-style market snapshot.",
                        "default": true
                    },
                    "onlyPrivateHost": {
                        "title": "Owner-hosted only (particuliers)",
                        "type": "boolean",
                        "description": "Keep only listings hosted by a private individual (particulier), dropping professional property managers.",
                        "default": false
                    },
                    "minAdr": {
                        "title": "Minimum nightly rate (€)",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Keep only listings with an advertised nightly rate at or above this."
                    },
                    "maxAdr": {
                        "title": "Maximum nightly rate (€)",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Keep only listings with an advertised nightly rate at or below this."
                    },
                    "minRating": {
                        "title": "Minimum rating",
                        "minimum": 0,
                        "maximum": 5,
                        "type": "integer",
                        "description": "Keep only listings with at least this average rating (whole number, out of 5)."
                    },
                    "minReviews": {
                        "title": "Minimum reviews",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Keep only listings with at least this many reviews (a proxy for booking history / maturity)."
                    },
                    "propertyTypes": {
                        "title": "Property types",
                        "type": "array",
                        "description": "Keep only listings whose type contains one of these words (e.g. <code>Appartement</code>, <code>Maison</code>, <code>Studio</code>). Empty = all.",
                        "default": [],
                        "items": {
                            "type": "string"
                        }
                    },
                    "monitorMode": {
                        "title": "Monitor mode (new listings only)",
                        "type": "boolean",
                        "description": "Remember what previous runs reported (per <code>monitorName</code>) and return only <b>new</b> listings. Schedule daily for a live feed of fresh STR supply — you're charged for new listings only.",
                        "default": false
                    },
                    "monitorName": {
                        "title": "Monitor name",
                        "type": "string",
                        "description": "Name for this watch's memory of already-seen listings. Use a distinct name per saved search (e.g. <code>paris-11e</code>).",
                        "default": "default"
                    },
                    "webhookUrl": {
                        "title": "Slack / webhook URL",
                        "type": "string",
                        "description": "Optional. A Slack incoming-webhook URL (or any endpoint) that receives a digest of the new listings — pairs with monitor mode + a daily schedule."
                    },
                    "maxListings": {
                        "title": "Max listings to analyze",
                        "minimum": 1,
                        "maximum": 5000,
                        "type": "integer",
                        "description": "Stop after analyzing this many unique listings across all search URLs.",
                        "default": 300
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```