# Eventbrite Events Intel - Discovery, Organizers, Prices (`seibs.co/eventbrite-events-intel`) Actor Discover and normalize public Eventbrite events by location, category, keyword, and date - the event-discovery layer Eventbrite removed from its API in 2020. Returns name, organizer, venue, date, price tiers, and availability plus organizer rollups. For event marketers, sponsors, and lead-gen. - **URL**: https://apify.com/seibs.co/eventbrite-events-intel.md - **Developed by:** [Seibs.co](https://apify.com/seibs.co) (community) - **Categories:** Business, Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 event records This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Eventbrite Events Intel **Discover and normalize public Eventbrite events by location, category, keyword, and date - the discovery layer Eventbrite removed from its API in 2020.** Eventbrite **shut off its public Event Search API in February 2020**. The official API can only return *your own* organization's events - there is no approval, no tier, no application that re-opens cross-organizer discovery. If you want to find *other people's* events (to market alongside them, sponsor them, prospect their exhibitors, or track competitors), the API simply cannot do it. The data still lives on Eventbrite's public, logged-out web. This actor reconstructs the discovery layer from those public pages and hands it back as one clean, normalized schema - no application required. **The closed API is the moat.** Built for the buyers the API locks out: **event marketers, sponsors, lead-gen teams, and competitive event trackers.** --- ### What you get - **Event discovery** by location, category, keyword, and date - the search the API can't do. - **Normalized event records**: name, organizer, venue + full address & geo, start/end date-time, timezone, category / subcategory / format, tags, online flag, status, image, tickets URL. - **Price & ticket enrichment** (opt-in): price range + tiers, availability / urgency signals ("few tickets left"), organizer, and performers parsed from the event page. - **Organizer rollups**: each organizer's event count, categories, venues, cities, date span, online/free counts, and price range - the competitive-intel layer. - **New-event monitor mode**: schedule the actor and it emits a digest of newly-listed events since the last run (Slack/webhook optional). ### Modes | Mode | What it does | Required input | |---|---|---| | `discover` | Find events by location / category / keyword / date, then roll up by organizer | `location` + (`category` and/or `keyword`) | | `event_detail` | Enrich specific event URLs with price tiers, organizer, performers | `event_urls` | | `organizer_events` | Pull an organizer's public upcoming events | `organizer_urls` | New-event monitoring turns on automatically when the actor runs under an Apify Schedule. ### Example input ```json { "mode": "discover", "location": "ny--new-york", "category": "music", "keyword": "jazz", "date_from": "2026-07-01", "date_to": "2026-07-31", "include_pricing": true, "max_results_per_query": 50 } ```` `location` is the Eventbrite **location slug** - the part after `/d/` in any Eventbrite discovery URL (e.g. `ny--new-york`, `ca--los-angeles`, `tx--austin`, `il--chicago`, or `online`). Pass `locations`, `categories`, and `keywords` arrays to fan out across many in one run. ### Example output (event record) ```json { "record_type": "event", "event_id": "...", "name": "Refuge Thursday w/ Todd Terje (DJ Set)", "url": "https://www.eventbrite.com/e/...", "start_local": "2026-07-10T22:00:00", "timezone": "America/New_York", "category": "Music", "subcategory": "House", "organizer_name": "Refuge.NYC", "venue_name": "Refuge", "venue_address": "...", "city": "Brooklyn", "region": "NY", "country": "US", "price_min": 25.0, "price_max": 65.0, "price_currency": "USD", "price_label": "$25 - $65", "is_free": false, "availability": "InStock", "performers": [{"name": "Todd Terje", "url": "..."}], "source": "event_page" } ``` Organizer rollups (`record_type: organizer_rollup`) carry `event_count`, `categories`, `venues`, `first_event_date` / `last_event_date`, `online_event_count`, `free_event_count`, and `price_min` / `price_max`. ### Output views `overview` (default, token-efficient for AI agents), `events` (every field), `organizers` (rollups), plus CSV and an MCP-compatible JSON slice. There is also a companion **MCP server** (`mcp-eventbrite-events-intel`) that exposes these as AI-agent tools with x402 / Skyfire agentic-payment support. ### Pricing (pay-per-event) | Event | Price | What it is | |---|---|---| | `event_record` | **$0.005** | One normalized public event | | `price_ticket_enrichment` | **$0.010** | Price range / tiers, availability, organizer, performers from the event page | | `organizer_rollup` | **$0.015** | One organizer's aggregate event profile | | `scheduled_delta_run` | **$0.030** | One scheduled new-event monitor delta | A run that returns nothing costs nothing. ### How it works (anti-bot) Eventbrite fronts its pages with an edge WAF that fingerprints the caller's TLS and can 403 a plain datacenter request. The actor uses a **three-tier escalation ladder** and fails soft if every tier is blocked: 1. **httpx** over the DATACENTER proxy - cheapest, first. 2. **curl\_cffi** with real Chrome TLS impersonation over the RESIDENTIAL proxy - defeats JA3/TLS-fingerprint WAFs. 3. **Playwright** (patchright stealth) headful Chromium over the RESIDENTIAL proxy - for a true JS/Cloudflare interstitial (optional; set `browser_cdp_url` / `BROWSER_CDP_URL` for a warm anti-detect browser). Discovery also uses Eventbrite's logged-out internal destination-search endpoint (seeding the `csrftoken` cookie from the homepage) to page through full result sets and apply keyword + date filters - the same data the removed Search API once returned. ### Responsible use & legal posture - **Logged-out, public pages only.** No login, no accounts, no user cookies, no paywalled data. - **PII minimized.** We keep public event / organizer / venue facts only - never attendee, buyer, or private contact data. - **Polite rate limits** and automatic fail-soft when blocked. - This is public-event-listing data; verify any single record before acting on it, and respect Eventbrite's terms and applicable law in your jurisdiction. # Actor input Schema ## `mode` (type: `string`): discover = find events by location/category/keyword/date and roll them up by organizer (the core wedge). event\_detail = enrich specific event URLs with price tiers, availability, organizer, and performers. organizer\_events = pull an organizer's public upcoming events. New-event monitoring is automatic when the actor runs under an Apify Schedule. ## `location` (type: `string`): Eventbrite location slug, e.g. 'ny--new-york', 'ca--los-angeles', 'tx--austin', 'il--chicago', or 'online'. The slug is the part after /d/ in an Eventbrite discovery URL. Used in discover mode. ## `locations` (type: `array`): Query several location slugs in one run, e.g. \['ny--new-york', 'ca--san-francisco', 'online']. Overrides 'location' when set. Hard cap of 20. ## `category` (type: `string`): Eventbrite category slug or id: music, business, food-and-drink, community, arts, film-and-media, sports-fitness, health, science-and-tech, travel-outdoor, charity-and-causes, spirituality, family-education, holiday, government, fashion, home-and-lifestyle, auto-boat-and-air, hobbies, school-activities, other. Used in discover mode (with or without a keyword). ## `categories` (type: `array`): Several category slugs in one run, e.g. \['music', 'business']. Combines with each keyword. Hard cap of 25. ## `keyword` (type: `string`): Free-text search within the location, e.g. 'jazz', 'startup pitch', 'wine tasting'. Combine with a category to narrow further. Used in discover mode. ## `keywords` (type: `array`): Several keyword queries in one run, e.g. \['jazz', 'hip hop']. Each is crossed with each location (and category). Hard cap of 25. ## `date_from` (type: `string`): Only events starting on/after this date, e.g. '2026-07-01'. Leave blank for current + future events. ## `date_to` (type: `string`): Only events starting on/before this date, e.g. '2026-07-31'. ## `dates_token` (type: `string`): Instead of explicit dates, use a relative window. Ignored when date\_from/date\_to are set. ## `event_urls` (type: `array`): Eventbrite event page URLs to enrich, e.g. \['https://www.eventbrite.com/e/-tickets-']. Required for event\_detail mode. Hard cap of 200. ## `organizer_urls` (type: `array`): Eventbrite organizer page URLs, e.g. \['https://www.eventbrite.com/o/-']. Required for organizer\_events mode. Hard cap of 25. ## `include_pricing` (type: `boolean`): In discover mode, fetch each event's detail page to add price range, ticket availability, organizer name, and performers. Charges price\_ticket\_enrichment per event that yields a price/performer layer. Off by default for a fast, cheap discovery pass. ## `emit_organizer_rollups` (type: `boolean`): Aggregate the event set by organizer: event count, categories, venues, date span, and price range - the competitive-intel layer. Charges organizer\_rollup per organizer emitted. ## `max_results_per_query` (type: `integer`): Cap on events returned per (location x category x keyword) query in discover mode. Default 50. ## `max_organizer_events` (type: `integer`): Cap on events pulled per organizer in organizer\_events mode. Default 25. ## `monitor_webhook_url` (type: `string`): When this actor runs under an Apify Schedule (monitor mode), post the new-events digest to this Slack-compatible webhook URL. ## `use_apify_proxy` (type: `boolean`): Route requests through Apify Proxy. The DATACENTER tier handles the first (httpx) pass; a RESIDENTIAL tier is provisioned for anti-bot escalation. ## `use_browser_fallback` (type: `boolean`): When Eventbrite serves a 403/Cloudflare challenge from a datacenter IP, automatically escalate: switch to the RESIDENTIAL proxy and retry with curl\_cffi Chrome TLS impersonation, then (if available) a headless browser. Turn off to use plain httpx only. ## `browser_cdp_url` (type: `string`): Optional CDP/WebSocket endpoint of an already-running, anti-detect (UC-mode / real Chrome) browser. When set, the browser tier connects to it (inheriting its session + fingerprint) to pass a managed Cloudflare challenge. Can also be set as the BROWSER\_CDP\_URL env var. ## `apify_proxy_groups` (type: `array`): Override the auto-selected proxy group. Leave empty to let the actor pick DATACENTER (httpx) + RESIDENTIAL (escalation). ## `concurrency` (type: `integer`): Parallel fetches. Eventbrite is rate-sensitive; default 4. ## Actor input object example ```json { "mode": "discover", "location": "ny--new-york", "locations": [], "category": "music", "categories": [], "keyword": "", "keywords": [], "date_from": "", "date_to": "", "dates_token": "", "event_urls": [], "organizer_urls": [], "include_pricing": false, "emit_organizer_rollups": true, "max_results_per_query": 50, "max_organizer_events": 25, "monitor_webhook_url": "", "use_apify_proxy": true, "use_browser_fallback": true, "browser_cdp_url": "", "apify_proxy_groups": [], "concurrency": 4 } ``` # Actor output Schema ## `datasetItems` (type: `string`): Narrow, token-efficient slice of every record. Consumer: LLM agents (Claude, GPT, LangChain tools), MCP hosts, event dashboards. ## `datasetItemsEvents` (type: `string`): Full normalized events with venue, date/time, price tiers, organizer, and performers. Consumer: lead-gen, sponsorship prospecting, CRM enrichment, RAG ingest. ## `datasetItemsOrganizers` (type: `string`): One row per organizer: event count, categories, venues, date span, price range. Consumer: competitive event tracking, sponsor prospecting. ## `datasetItemsMcp` (type: `string`): First 50 overview records as a clean JSON array. Wrap on the agent side in an MCP tool-call envelope. Consumer: MCP servers, Claude Desktop, Cursor, OpenAI Assistants tool calls. ## `datasetItemsCsv` (type: `string`): Spreadsheet-friendly export of the overview view. Consumer: event marketers, sponsors, Excel / Google Sheets users. # 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 = { "mode": "discover", "location": "ny--new-york", "category": "music", "keyword": "", "max_results_per_query": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("seibs.co/eventbrite-events-intel").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 = { "mode": "discover", "location": "ny--new-york", "category": "music", "keyword": "", "max_results_per_query": 50, } # Run the Actor and wait for it to finish run = client.actor("seibs.co/eventbrite-events-intel").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 '{ "mode": "discover", "location": "ny--new-york", "category": "music", "keyword": "", "max_results_per_query": 50 }' | apify call seibs.co/eventbrite-events-intel --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seibs.co/eventbrite-events-intel", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Eventbrite Events Intel - Discovery, Organizers, Prices", "description": "Discover and normalize public Eventbrite events by location, category, keyword, and date - the event-discovery layer Eventbrite removed from its API in 2020. Returns name, organizer, venue, date, price tiers, and availability plus organizer rollups. For event marketers, sponsors, and lead-gen.", "version": "0.1", "x-build-id": "5Jk3bmkpx7B3P0XeQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seibs.co~eventbrite-events-intel/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seibs.co-eventbrite-events-intel", "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/seibs.co~eventbrite-events-intel/runs": { "post": { "operationId": "runs-sync-seibs.co-eventbrite-events-intel", "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/seibs.co~eventbrite-events-intel/run-sync": { "post": { "operationId": "run-sync-seibs.co-eventbrite-events-intel", "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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "discover", "event_detail", "organizer_events" ], "type": "string", "description": "discover = find events by location/category/keyword/date and roll them up by organizer (the core wedge). event_detail = enrich specific event URLs with price tiers, availability, organizer, and performers. organizer_events = pull an organizer's public upcoming events. New-event monitoring is automatic when the actor runs under an Apify Schedule.", "default": "discover" }, "location": { "title": "Location (Eventbrite location slug)", "type": "string", "description": "Eventbrite location slug, e.g. 'ny--new-york', 'ca--los-angeles', 'tx--austin', 'il--chicago', or 'online'. The slug is the part after /d/ in an Eventbrite discovery URL. Used in discover mode.", "default": "ny--new-york" }, "locations": { "title": "Locations (multiple, optional)", "maxItems": 20, "type": "array", "description": "Query several location slugs in one run, e.g. ['ny--new-york', 'ca--san-francisco', 'online']. Overrides 'location' when set. Hard cap of 20.", "default": [], "items": { "type": "string" } }, "category": { "title": "Category", "type": "string", "description": "Eventbrite category slug or id: music, business, food-and-drink, community, arts, film-and-media, sports-fitness, health, science-and-tech, travel-outdoor, charity-and-causes, spirituality, family-education, holiday, government, fashion, home-and-lifestyle, auto-boat-and-air, hobbies, school-activities, other. Used in discover mode (with or without a keyword).", "default": "" }, "categories": { "title": "Categories (multiple, optional)", "maxItems": 25, "type": "array", "description": "Several category slugs in one run, e.g. ['music', 'business']. Combines with each keyword. Hard cap of 25.", "default": [], "items": { "type": "string" } }, "keyword": { "title": "Keyword", "type": "string", "description": "Free-text search within the location, e.g. 'jazz', 'startup pitch', 'wine tasting'. Combine with a category to narrow further. Used in discover mode.", "default": "" }, "keywords": { "title": "Keywords (multiple, optional)", "maxItems": 25, "type": "array", "description": "Several keyword queries in one run, e.g. ['jazz', 'hip hop']. Each is crossed with each location (and category). Hard cap of 25.", "default": [], "items": { "type": "string" } }, "date_from": { "title": "Start date (YYYY-MM-DD)", "type": "string", "description": "Only events starting on/after this date, e.g. '2026-07-01'. Leave blank for current + future events.", "default": "" }, "date_to": { "title": "End date (YYYY-MM-DD)", "type": "string", "description": "Only events starting on/before this date, e.g. '2026-07-31'.", "default": "" }, "dates_token": { "title": "Relative date window", "enum": [ "", "today", "tomorrow", "this_week", "this_weekend", "next_week", "this_month", "next_month", "current_future" ], "type": "string", "description": "Instead of explicit dates, use a relative window. Ignored when date_from/date_to are set.", "default": "" }, "event_urls": { "title": "Event URLs (event_detail mode)", "maxItems": 200, "type": "array", "description": "Eventbrite event page URLs to enrich, e.g. ['https://www.eventbrite.com/e/-tickets-']. Required for event_detail mode. Hard cap of 200.", "default": [], "items": { "type": "string" } }, "organizer_urls": { "title": "Organizer URLs (organizer_events mode)", "maxItems": 25, "type": "array", "description": "Eventbrite organizer page URLs, e.g. ['https://www.eventbrite.com/o/-']. Required for organizer_events mode. Hard cap of 25.", "default": [], "items": { "type": "string" } }, "include_pricing": { "title": "Enrich discovered events with price / tickets / performers", "type": "boolean", "description": "In discover mode, fetch each event's detail page to add price range, ticket availability, organizer name, and performers. Charges price_ticket_enrichment per event that yields a price/performer layer. Off by default for a fast, cheap discovery pass.", "default": false }, "emit_organizer_rollups": { "title": "Emit per-organizer rollups", "type": "boolean", "description": "Aggregate the event set by organizer: event count, categories, venues, date span, and price range - the competitive-intel layer. Charges organizer_rollup per organizer emitted.", "default": true }, "max_results_per_query": { "title": "Max events per query", "minimum": 1, "maximum": 500, "type": "integer", "description": "Cap on events returned per (location x category x keyword) query in discover mode. Default 50.", "default": 50 }, "max_organizer_events": { "title": "Max events per organizer", "minimum": 1, "maximum": 100, "type": "integer", "description": "Cap on events pulled per organizer in organizer_events mode. Default 25.", "default": 25 }, "monitor_webhook_url": { "title": "Monitor webhook URL (Slack / email, optional)", "type": "string", "description": "When this actor runs under an Apify Schedule (monitor mode), post the new-events digest to this Slack-compatible webhook URL.", "default": "" }, "use_apify_proxy": { "title": "Use Apify Proxy", "type": "boolean", "description": "Route requests through Apify Proxy. The DATACENTER tier handles the first (httpx) pass; a RESIDENTIAL tier is provisioned for anti-bot escalation.", "default": true }, "use_browser_fallback": { "title": "Anti-bot escalation (curl_cffi + browser)", "type": "boolean", "description": "When Eventbrite serves a 403/Cloudflare challenge from a datacenter IP, automatically escalate: switch to the RESIDENTIAL proxy and retry with curl_cffi Chrome TLS impersonation, then (if available) a headless browser. Turn off to use plain httpx only.", "default": true }, "browser_cdp_url": { "title": "Warm browser CDP endpoint (optional)", "type": "string", "description": "Optional CDP/WebSocket endpoint of an already-running, anti-detect (UC-mode / real Chrome) browser. When set, the browser tier connects to it (inheriting its session + fingerprint) to pass a managed Cloudflare challenge. Can also be set as the BROWSER_CDP_URL env var.", "default": "" }, "apify_proxy_groups": { "title": "Proxy groups (optional override)", "type": "array", "description": "Override the auto-selected proxy group. Leave empty to let the actor pick DATACENTER (httpx) + RESIDENTIAL (escalation).", "default": [], "items": { "type": "string" } }, "concurrency": { "title": "Max concurrent requests", "minimum": 1, "maximum": 8, "type": "integer", "description": "Parallel fetches. Eventbrite is rate-sensitive; default 4.", "default": 4 } } }, "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 } } } } } } } } } } ```