# Dice Events (`aitorsm/dice-events`) Actor Collect events from DICE (dice.fm): title, date, lineup, venue, and ticket details. In venue mode each show carries a full venue lead — Instagram, website, email, phone, and capacity. Built for booking, venue lead generation, and live-music market intelligence. - **URL**: https://apify.com/aitorsm/dice-events.md - **Developed by:** [Aitor Sanchez-Mansilla](https://apify.com/aitorsm) (community) - **Categories:** Automation, Lead generation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $20.00 / 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. 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 ## DICE Events Scraper — Promoters, Venues, Lineups, and Pricing for Music + Nightlife Lead Generation [![DICE Events Scraper status](https://apify.com/actor-badge?actor=aitorsm/dice-events)](https://apify.com/aitorsm/dice-events) The **DICE Events Scraper** extracts structured event data from [DICE](https://dice.fm) — the mobile-first ticketing platform for live music, clubs, festivals, comedy, and cultural events across 69+ cities worldwide. Each scraped event returns: - Event name, description, start time, attendance type, sale status, and DICE event URL - **Promoter (organizer) info** — billing promoter ID, name, and slug, plus additional marketeers - **Full venue data** — name, full address, latitude/longitude, city, country - **Lineup** — headliner act + supporting acts - **Ticket pricing** — amount (minor units), currency, formatted display - **Status signals** — `isTicketAvailable`, sold-out flag, waiting-list flag, `isTicketAvailableAtDoor` - **Categorization** — primary tag (Gigs / DJ / Party / Festival / Comedy / Theatre / Film / etc.) plus secondary tag types - Event flyer image URL and DICE social/share links City targeting is URL-based (no geo-IP dependency) — the actor works for any of DICE's 69 catalog cities from any origin. ### Use Cases #### 1. **Music Promoter Lead Generation** DICE is where indie promoters, club nights, and festival operators sell tickets to live audiences. Every event exposes its `billingPromoter` (the org running the show) plus any additional `marketeers` (co-promoters / agencies). Pull a city's active promoter list with run-rate signals in one pass — ideal input for ticketing-platform BD, music-tech vendors, or sponsorship outreach. #### 2. **Venue Lead Generation + Booking Intel** Each event carries the full venue record (name, address, lat/lng). Run the `sweepVenues: true` mode to enumerate every DICE-listed venue in a city, and keep `enrichVenues: true` to turn each venue into a self-contained **lead row** — the venue's website, Instagram, Facebook, TikTok, Twitter/X, phone, email, capacity, and description, attached to every one of that venue's events. Ideal for booking agents identifying which rooms are actively programming, AV / production vendors mapping their addressable market, or anyone selling into venue operators directly. #### 3. **Cross-Platform Organizer Database** Combine DICE output with Eventbrite, Luma, Posh, and Meetup datasets for unified multi-source organizer intelligence. DICE skews music + nightlife; the other platforms cover broader event categories. Together they form a complete picture of who's running paid events in a city. #### 4. **Concert + Festival Market Intelligence** Track which acts are touring, which venues are programming them, and at what price points. The `summaryLineup` (headliner) + `lineupSupports` fields give act-level granularity; `priceAmount` + `priceCurrency` lets you compare ticket-price trends across cities or sub-genres. #### 5. **Talent and Booking Pipeline** For booking agencies, A&R teams, or content platforms: surface emerging acts being booked at indie venues before they show up on the big-room tour cycle. #### 6. **Event Aggregation for Local Apps and Newsletters** Pull a clean structured feed of upcoming music + nightlife events in a city for use in "what's on tonight" newsletters, tourism sites, hotel concierge apps, or co-working community boards. #### 7. **Ad-Targeting and Audience Research** Use venue addresses + event categories to inform geo-targeted ads (Meta / TikTok) at audiences with confirmed music-event affinity. Multi-platform overlap (DICE event in same building as Posh event) is a strong "active scene" indicator. #### 8. **Competitive Tracking for Ticketing Platforms** If you sell ticketing infrastructure, the list of promoters currently using DICE is your would-be customer list. Run weekly and diff to spot churn or growth. > **On the roadmap**: deeper per-venue event coverage, Apple Music / Spotify track preview links, and full per-event detail enrichment. [Drop me a line](mailto:business@aitorsm.com) if any of these would unblock a use case — it helps me prioritize. ### Cost This Actor uses **pay-per-event** pricing: - **$0.03 per event** - **$0.02 per unique venue enriched** — only charged when `enrichVenues` is on (the default) and only in venue-sweep mode, and only once per venue per run (deduplicated across all of that venue's events). Turn `enrichVenues` off to pay for events alone. Apify's platform costs are included, so the total is predictable. A typical venue sweep that surfaces 60 venues with enrichment on costs roughly the per-event total plus ~$1.20 (venues) for **60 venue lead rows** carrying website, socials, phone, and email. ### Input The actor takes a single city per run, with three escalating sweep modes for coverage depth. - **`city`** — name of any of DICE's 69 supported cities (e.g. `"Los Angeles"`, `"London"`, `"Barcelona"`, `"Berlin"`, `"New York"`, `"Tokyo"`). Matching is fuzzy and case-insensitive. - **`cityPermName`** / **`cityId`** *(advanced)* — DICE's internal identifiers for a city. Pass both together to target a city directly and skip name resolution. Useful if you've already resolved the city. - **`maxItems`** — global cap on events returned (deduped across all sweep paths). Leave at the default `30` for a quick preview, or raise to thousands for a full sweep. - **`sweepFilters`** *(boolean, default `false`)* — when true, the actor covers the city across all primary categories (Gigs / DJ / Party / Comedy / Theatre / Film / Workshop / Talk / Wellbeing / Playback / Artist signing / etc.). Yields **~3-4× more events** than the default view. Best for organizer/promoter discovery. - **`sweepVenues`** *(boolean, default `false`)* — when true, the actor covers **every DICE venue in the city** and returns each venue's full event list. Yields the most exhaustive coverage (~10× the default), scaling with the city's venue count (e.g. 84 for LA, 163 for Barcelona). Best for event-listing use cases or maximum-coverage lead-gen. Composes with `sweepFilters` — all events deduped by ID. - **`enrichVenues`** *(boolean, default `true`)* — when on (in `sweepVenues` mode), each venue contributes its contact + social block — `venueWebsite`, `venueInstagram`, `venueFacebook`, `venueTiktok`, `venueTwitter`, `venuePhone`, `venueEmail` — plus `venueCapacity`, `venueDescription`, and the venue's address. These fields are attached to every one of that venue's events. **Recommended for venue lead-generation** — it's what turns a venue listing into a contactable lead. Billed once per unique venue ($0.02, deduplicated). Has no effect unless `sweepVenues` is also on; turn it off to omit the contact/social fields and pay for events alone. #### Sample inputs **Quick city preview** (~30 events): ```json { "city": "Los Angeles", "maxItems": 30 } ```` **Promoter lead-gen sweep** (~130 events, ~40 promoters): ```json { "city": "Los Angeles", "maxItems": 1000, "sweepFilters": true } ``` **Venue lead-gen sweep** (every LA venue with website + socials + phone + email): ```json { "city": "Los Angeles", "maxItems": 10000, "sweepVenues": true, "enrichVenues": true } ``` **Maximum-coverage sweep** (~420 events, ~55 promoters for LA): ```json { "city": "Los Angeles", "maxItems": 10000, "sweepFilters": true, "sweepVenues": true } ``` ### Output The data is returned in **JSON format**, ideal for direct ingestion into analytics platforms, CRMs, dashboards, or downstream pipelines. #### Example entry Input: `{ "city": "Barcelona", "maxItems": 1 }` ```json { "eventId": "6a06e30b1d609200016c1160", "permName": "mx9oqr-churros-con-chocolate-antichurros-special-pride-night-sbado-18th-jul-sala-apolo-barcelona-tickets", "url": "https://dice.fm/event/6a06e30b1d609200016c1160-mx9oqr-churros-con-chocolate-antichurros-special-pride-night-sbado-18th-jul-sala-apolo-barcelona-tickets", "name": "CHURROS CON CHOCOLATE / ANTICHURROS - Special Pride Night (sábado)", "about": { "description": "¡No te pierdas nuestro especial PRIDE del sábado! En nuestra segunda noche de celebración del Orgullo contaremos con la fórmula CHURROS CON CHOCOLATE + ANTI...", "highlights": [ { "type": "age_restriction", "title": "Para mayores de 18 años (necesario traer DNI)." } ] }, "startUnix": 1784411940, "startIso": "2026-07-18T21:59:00.000Z", "attendanceType": "live_only", "status": "sold-out", "secondaryStatus": "waiting-list", "isTicketAvailable": true, "isTicketAvailableAtDoor": false, "hasMultipleTicketTypes": false, "priceAmount": 2425, "priceCurrency": "EUR", "priceDisplay": null, "billingPromoterId": "4679", "billingPromoterName": "CHURROS CON CHOCOLATE", "billingPromoterPermName": "churros-con-chocolate-7289", "marketeers": [ { "id": 525, "name": "Sala Apolo" }, { "id": 843, "name": "PUMALU2 (CHURROS CON CHOCOLATE)" } ], "summaryLineup": null, "lineupSupports": [], "eventTag": null, "tagsTypes": [ { "name": "party", "value": "music:party", "title": "Party" } ], "venueId": "3008", "venueName": "SALA APOLO", "venueCity": "Barcelona", "venueCityId": "5d8cefe1e3e6e374e99e8cbe", "venueCountry": "Spain", "venueAddress": "Carrer Nou de la Rambla, 113, 08004 Barcelona, Spain", "venueLat": 41.3743117, "venueLon": 2.1695412999999917, "socialLinks": { "event_share": "https://link.dice.fm/Z27cee70269b?dice_id=Z27cee70269b" }, "imageUrl": "https://dice-media.imgix.net/attachments/2026-05-15/dd0b4aa2-2f7f-4ca4-a4c2-523bd8c4e844.jpg?rect=0%2C432%2C2160%2C1296", "scrapedFromCity": "Barcelona, Spain", "scrapedFromCityPermName": "barcelona", "scrapedFromCityId": "5d8cefe1e3e6e374e99e8cbe", "scrapedCityNameFromPage": "Barcelona", "scrapedAt": "2026-05-22T21:48:40.184Z" } ``` #### Fields | Field | Purpose | |---|---| | `eventId`, `permName`, `url` | DICE event identifiers + canonical URL | | `name`, `about` | Event title + full description (with highlights) | | `startUnix`, `startIso` | Event start time (epoch + ISO 8601 UTC) | | `attendanceType`, `status`, `secondaryStatus` | `live_only` / `streaming` / etc.; `live` / `sold-out` / `cancelled`; `waiting-list` etc. | | `isTicketAvailable`, `isTicketAvailableAtDoor`, `hasMultipleTicketTypes` | Availability signals at scrape time | | `priceAmount`, `priceCurrency`, `priceDisplay` | Ticket price (minor units), ISO currency code, formatted display string | | `billingPromoterId`, `billingPromoterName`, `billingPromoterPermName` | The organizer running the event | | `marketeers[]` | Additional co-promoters / agencies | | `summaryLineup`, `lineupSupports[]` | Headliner act + supporting acts | | `eventTag`, `tagsTypes[]` | Primary tag (Gigs/DJ/Party/etc.) + secondary classification | | `venueId`, `venueName`, `venueAddress`, `venueLat`, `venueLon`, `venueCity`, `venueCountry` | Full venue record with geo coordinates | | **`venueLinks`** | Venue's social block `{facebook, instagram, tiktok, twitter, website}` — present when `enrichVenues=true` (venue-sweep mode) | | **`venueWebsite`, `venueInstagram`, `venueFacebook`, `venueTiktok`, `venueTwitter`** | Flat per-platform venue links — present when `enrichVenues=true` | | **`venuePhone`, `venueEmail`** | Venue contact details — present when `enrichVenues=true`. The direct-contact lead payload | | **`venueCapacity`, `venueDescription`, `venueProfileAddress`** | Venue capacity, description, and profile address — present when `enrichVenues=true` | | `socialLinks` | DICE-hosted share + referral links | | `imageUrl` | Event flyer (landscape preferred, square / portrait fallback) | | `scrapedFromCity`, `scrapedFromCityPermName`, `scrapedFromCityId`, `scrapedCityNameFromPage`, `scrapedAt` | Audit metadata for the scrape itself (input city display, slug, id; city confirmed by the response; timestamp) | #### Simplified Overview A simplified view of this data is shown directly in the **Apify console**, where you can see a table of key event details: event name, flyer, start date, venue, city, promoter, ticket price, and availability. ```json { "name": "CHURROS CON CHOCOLATE / ANTICHURROS - Special Pride Night", "imageUrl": "https://dice-media.imgix.net/attachments/.../flyer.jpg", "startIso": "2026-07-18T21:59:00.000Z", "venueName": "SALA APOLO", "venueCity": "Barcelona", "billingPromoterName": "CHURROS CON CHOCOLATE", "priceDisplay": "24,25 €", "isTicketAvailable": true, "url": "https://dice.fm/event/..." } ``` *** ### How to Use 1. **Pick a city** — type any of DICE's 69 supported city names (e.g. `"Los Angeles"`, `"Berlin"`, `"Tokyo"`). 2. **Choose your sweep mode**: - Default → quick preview (~30 events) - `sweepFilters: true` → broad category sweep (~130 events) - `sweepFilters + sweepVenues` → maximum coverage (~400+ events) 3. **Set `maxItems`** to cap the total budget. 4. **Run the Actor** — check the Overview tab to see events as they arrive. 5. **Export the dataset** — JSON, CSV, Excel, or HTML. Drop into your CRM, spreadsheet, dashboard, or downstream enrichment pipeline. *** Start scraping DICE events today by running this Actor on Apify. ### Contact - **Email**: — for custom features, advanced filtering, tailored data products, or anything off-spec. - **Apify Discord**: find me as `aitor.sm`. If this actor has been useful to you, please consider adding it to your bookmarks 📑 on Apify. # Actor input Schema ## `city` (type: `string`): City to scrape (e.g. "Los Angeles", "London", "Barcelona"). Resolved to DICE's internal city id via the public cities API. ## `cityPermName` (type: `string`): DICE city permanent slug (e.g. "LosAngeles", "london"). Required when also passing `cityId`. Overrides `city`. ## `cityId` (type: `string`): DICE city ObjectId hex (24 chars). Required when also passing `cityPermName`. ## `maxItems` (type: `integer`): Maximum number of events to return. Without sweepFilters, DICE returns up to ~30 events per city. With sweepFilters=true, up to ~400 per city. ## `sweepFilters` (type: `boolean`): If true, the actor enqueues a separate browse pass per primary filter (Gigs/DJ/Party/Sport/Comedy/Theatre/Workshop/Art/Social/Film/Talk/Wellbeing/Playback/Artist signing). Yields ~3-4x more events per city than the default 30, at the cost of ~10 extra requests. Best for organizer/promoter discovery. ## `sweepVenues` (type: `boolean`): If true, enumerates every venue in the city via DICE's public venues API and scrapes each venue's full event list. Yields the most exhaustive coverage (~3x more events than filter sweep) but adds 1 request per venue (e.g. 84 for LA). Best for event-listing use cases. Composes with sweepFilters — all events deduped by ID. ## `enrichVenues` (type: `boolean`): If true, each venue visited in sweepVenues mode is enriched with its contact + social details (website, Instagram, Facebook, TikTok, Twitter/X, phone, email) plus capacity, description, and address. Billed once per unique venue ($0.02). Recommended for venue lead-generation. Has no effect unless sweepVenues is also on. ## Actor input object example ```json { "city": "Los Angeles", "maxItems": 30, "sweepFilters": false, "sweepVenues": false, "enrichVenues": true } ``` # Actor output Schema ## `overview` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "city": "Los Angeles", "maxItems": 30 }; // Run the Actor and wait for it to finish const run = await client.actor("aitorsm/dice-events").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "city": "Los Angeles", "maxItems": 30, } # Run the Actor and wait for it to finish run = client.actor("aitorsm/dice-events").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 '{ "city": "Los Angeles", "maxItems": 30 }' | apify call aitorsm/dice-events --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=aitorsm/dice-events", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Dice Events", "description": "Collect events from DICE (dice.fm): title, date, lineup, venue, and ticket details. In venue mode each show carries a full venue lead — Instagram, website, email, phone, and capacity. Built for booking, venue lead generation, and live-music market intelligence.", "version": "0.1", "x-build-id": "tezbDY3MQ1XiJtNae" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/aitorsm~dice-events/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-aitorsm-dice-events", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/aitorsm~dice-events/runs": { "post": { "operationId": "runs-sync-aitorsm-dice-events", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/aitorsm~dice-events/run-sync": { "post": { "operationId": "run-sync-aitorsm-dice-events", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "city": { "title": "City", "type": "string", "description": "City to scrape (e.g. \"Los Angeles\", \"London\", \"Barcelona\"). Resolved to DICE's internal city id via the public cities API." }, "cityPermName": { "title": "City perm_name (advanced)", "type": "string", "description": "DICE city permanent slug (e.g. \"LosAngeles\", \"london\"). Required when also passing `cityId`. Overrides `city`." }, "cityId": { "title": "City ID (advanced)", "type": "string", "description": "DICE city ObjectId hex (24 chars). Required when also passing `cityPermName`." }, "maxItems": { "title": "Max events", "minimum": 0, "type": "integer", "description": "Maximum number of events to return. Without sweepFilters, DICE returns up to ~30 events per city. With sweepFilters=true, up to ~400 per city.", "default": 30 }, "sweepFilters": { "title": "Sweep all primary filters", "type": "boolean", "description": "If true, the actor enqueues a separate browse pass per primary filter (Gigs/DJ/Party/Sport/Comedy/Theatre/Workshop/Art/Social/Film/Talk/Wellbeing/Playback/Artist signing). Yields ~3-4x more events per city than the default 30, at the cost of ~10 extra requests. Best for organizer/promoter discovery.", "default": false }, "sweepVenues": { "title": "Sweep all venues in the city (deep mode)", "type": "boolean", "description": "If true, enumerates every venue in the city via DICE's public venues API and scrapes each venue's full event list. Yields the most exhaustive coverage (~3x more events than filter sweep) but adds 1 request per venue (e.g. 84 for LA). Best for event-listing use cases. Composes with sweepFilters — all events deduped by ID.", "default": false }, "enrichVenues": { "title": "Enrich venues (billed per venue)", "type": "boolean", "description": "If true, each venue visited in sweepVenues mode is enriched with its contact + social details (website, Instagram, Facebook, TikTok, Twitter/X, phone, email) plus capacity, description, and address. Billed once per unique venue ($0.02). Recommended for venue lead-generation. Has no effect unless sweepVenues is also on.", "default": true } } }, "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 } } } } } } } } } } ```