# Google Local API | Local Pack & Business Search SERPs (`johnvc/google-local-api`) Actor Search Google Local results - the local pack inside Google Search SERPs. Extract businesses with rating, reviews, phone, hours, place\_id, GPS coordinates. Country, language, and device targeting. Pay per page. MCP-ready for AI agents. - **URL**: https://apify.com/johnvc/google-local-api.md - **Developed by:** [John](https://apify.com/johnvc) (community) - **Categories:** Lead generation, SEO tools, Automation - **Stats:** 4 total users, 3 monthly users, 100.0% runs succeeded, 3 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $0.01 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Google Local API | Local Pack & Business Search SERPs (MCP-ready) > **Search Google Local results - the local pack inside Google Search SERPs - and get clean JSON back. Local businesses with rating, reviews, phone, hours, place_id, GPS coordinates, ads, and related place suggestions. Pay per page. MCP-ready for Claude, ChatGPT, Cursor, and other AI agents.** Pass a search query (and optionally a city) and the Actor returns the same structured data Google shows in the local pack on its Search results page: titles, ratings, review counts, addresses, phone numbers, opening hours, business categories, price tiers, place IDs, GPS coordinates, action links (directions, website, order, phone, reservations), and the related-place suggestions Google surfaces under the main results. Country, language, Google domain, and device controls are all exposed. This is the only Apify Actor focused on the **Google Local Search SERP** (the local pack inside a normal Google Search), as opposed to scraping Google Maps directly. The result is 100% reliability (no browsers, no captchas), the exact data layout Google ships to users on the web, and per-page pricing that is predictable regardless of how many businesses appear. --- ### Use with Claude, ChatGPT, Cursor & other AI agents (MCP) This Actor is a first-class tool on the [Apify MCP Server](https://docs.apify.com/platform/integrations/mcp). Any MCP-compatible AI agent - Claude (Desktop, Web, Code), ChatGPT (via custom GPT or MCP bridge), Cursor, VS Code, Cline, Windsurf, Kilo Code, Opencode, Glama - can discover and call this Actor in natural language. **What an AI agent does with this:** > User: *"Find me the highest-rated dentists in Brooklyn that take walk-ins."* > > Agent calls `search-actors("google local")` on the Apify MCP server, picks this Actor, calls it with `{"q": "dentists walk-ins", "location": "Brooklyn, New York, United States", "max_pages": 2}`, gets the local pack businesses back, ranks them by rating and review count, and returns a short list to the user with phone numbers. #### Quick setup - Claude Desktop Add this to `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) or `%APPDATA%\Claude\claude_desktop_config.json` (Windows): ```json { "mcpServers": { "apify": { "command": "npx", "args": ["-y", "@apify/actors-mcp-server"], "env": { "APIFY_TOKEN": "YOUR_APIFY_API_TOKEN" } } } } ```` Restart Claude Desktop. Then ask Claude something like *"Find vegan restaurants in Austin with at least 4.5 stars and 200+ reviews."* Claude will discover this Actor, ask permission to call it, and return structured results. #### Quick setup - Cursor / VS Code / Cline / Windsurf These editors support **dynamic tool discovery**, so after the first call this Actor is registered as a named tool for the rest of the session, and subsequent prompts skip the discovery step entirely. Point your MCP client at: ``` https://mcp.apify.com ``` …with header `Authorization: Bearer YOUR_APIFY_API_TOKEN`. Full setup: [Apify MCP integration docs](https://docs.apify.com/platform/integrations/mcp). #### Quick setup - ChatGPT (and other static MCP clients) ChatGPT, Gemini CLI, and Amazon Q connect through the same `https://mcp.apify.com` endpoint and call this Actor via the generic `call-actor` tool. Same result, just no session-level tool registration. #### Use cases for AI agents - **Local lead-gen agents** - "Pull every plumber in {city} with under 50 reviews so I can pitch SEO services." - **Local SEO copilots** - "Where does {brand} rank in the local pack for 'best coffee' across these 25 cities?" - **Reservation / booking assistants** - "Find me three Italian places near Union Square with a 4.5+ rating and a phone link." - **Competitor monitoring agents** - "Watch the top-3 local pack results for 'pediatric dentist Brooklyn' weekly." - **Market research agents** - "How many CrossFit gyms are in each of these 100 zips, and what is the median rating?" *** ### What this Actor does A Google Local search wrapper that takes a query and returns the local pack businesses Google would show on the Search results page, plus the local ads and the related-place suggestions Google adds beneath them. Localize by country, language, Google domain, and device. Set `max_pages` to walk through more results. Each page is one billable event. Whether you are powering an AI agent through MCP, building a local-business directory, running local SEO rank tracking, or generating outreach lists, this Actor produces the structured local pack data you need. **SEO benefit**: Local pack data lets agencies and in-house teams measure visibility for geo-targeted keywords, benchmark competitors, and prioritize Google Business Profile optimization. *** ### What data you get | Field | Description | |---|---| | **Business details** | Title, type/category, description, price tier ($, $$, $$$, $$$$) | | **Ratings & reviews** | Average star rating, total review count, raw review text label | | **Contact** | Address, phone number, opening hours, "Open 24 hours" labels | | **Identifiers** | `place_id` (Google CID), `provider_id`, `lsig` signature, place-search URL | | **Geo** | `gps_coordinates` (latitude + longitude) for every listing | | **Action links** | Directions, website, order, schedule, phone (when available) | | **Media** | Thumbnail image, large thumbnail | | **Service options** | Dine-in, takeout, delivery, in-store shopping, curbside pickup, no-contact delivery, etc. | | **Ads** | Paid local placements (Google Local Ads) with the same business fields plus an ad title | | **Related places** | "Discover more places" suggestions Google appends under the main results | | **Pagination** | `pagination.current` (page index). Use the `max_pages` input to fetch more pages. | | **Metadata** | Pages processed, total results estimate, pagination status | *** ### Key features **Comprehensive coverage** - Every public local pack field Google returns: rating, reviews, phone, hours, GPS, place\_id, service options, ad placements, related places. **Country, language, and Google domain controls** - `gl` (200+ country codes), `hl` (200+ languages), `google_domain` (regional google.\* domains). Localize the search exactly the way a real user in that market would see it. **Device emulation** - `device` switches between desktop (about 20 results per page) and mobile (about 10 results per page) layouts. **Smart pagination** - Set `max_pages` to fetch as many pages as you need, or `0` for unlimited (bounded by a 20-page safety cap). The Actor walks pages automatically; you do not need to manage offsets. **Transparent pay-per-page pricing** - $0.02 setup + $0.02 per page. No subscriptions, no result-count surprises, no per-business markup. **Production-grade reliability** - API-backed instead of browser-based, so no captchas, no proxies, no rate-limit gymnastics. Schema-validated output. Structured error records for invalid input. **Pre-flight budget check** - Before any work is done, the Actor compares the projected cost against your remaining spending limit and exits cleanly with an `InsufficientFunds` error record if there is not enough headroom. **MCP-ready** - First-class tool on the [Apify MCP Server](https://docs.apify.com/platform/integrations/mcp) for Claude, ChatGPT, Cursor, and any other MCP-compatible agent. *** ### Usage examples #### Example 1: Basic search ```json { "q": "coffee", "location": "Austin, Texas, United States", "max_pages": 1 } ``` #### Example 2: Local SEO rank tracking ```json { "q": "best pizza", "location": "Brooklyn, New York, United States", "gl": "us", "hl": "en", "max_pages": 3 } ``` #### Example 3: International market ```json { "q": "boulangerie", "location": "Paris, France", "google_domain": "google.fr", "gl": "fr", "hl": "fr", "max_pages": 2 } ``` #### Example 4: Mobile layout ```json { "q": "gym near me", "location": "San Francisco, California, United States", "device": "mobile", "max_pages": 2 } ``` #### Example 5: Specific place by Google CID ```json { "q": "the standard hotel", "ludocid": "14414772292044717666", "max_pages": 1 } ``` *** ### Example output Each dataset item is one page of Google Local results. Excerpt: ```json { "page_number": 1, "search_timestamp": "2026-05-12T10:30:00.123456", "search_parameters": { "q": "coffee", "location": "Austin, Texas, United States", "gl": "us", "hl": "en", "device": "desktop", "max_pages": 1 }, "search_metadata": { "pages_processed": 1, "max_pages_set": 1, "pagination_limit_reached": false, "total_results_estimate": null }, "local_results": [ { "position": 1, "title": "Houndstooth Coffee", "rating": 4.6, "reviews_original": "(1.2K)", "reviews": 1200, "price": "$$", "type": "Coffee shop", "address": "401 Congress Ave Suite 100C, Austin, TX", "hours": "Open until 7 PM", "place_id": "1234567890123456789", "gps_coordinates": {"latitude": 30.2672, "longitude": -97.7431}, "service_options": {"dine_in": true, "takeout": true, "delivery": false}, "links": { "directions": "https://www.google.com/maps/dir/?...", "website": "https://houndstoothcoffee.com", "order": "https://order.example.com/houndstooth" }, "thumbnail": "https://lh3.googleusercontent.com/...", "thumbnail_large": "https://lh3.googleusercontent.com/...", "place_id_search": "https://www.google.com/maps?cid=1234567890123456789" } ], "ads_results": [], "local_map": {"image": "https://..."}, "discover_more_places": [ {"title": "Best coffee", "places": "Mozart's, Cafe Medici, Houndstooth..."} ], "pagination": {"current": 1} } ``` *** ### Input parameters | Parameter | Type | Required | Default | Notes | |---|---|---|---|---| | `q` | string | yes | `coffee` | Search query | | `location` | string | no | `Austin, Texas, United States` | City-level location; cannot combine with `uule` | | `uule` | string | no | - | Google-encoded location for precise targeting | | `google_domain` | string | no | `google.com` | Regional Google domain | | `gl` | string | no | `us` | 2-letter country code | | `hl` | string | no | `en` | 2-letter language code | | `ludocid` | string | no | - | Google CID for a specific place | | `tbs` | string | no | - | Advanced filter string | | `device` | enum | no | `desktop` | `desktop`, `tablet`, or `mobile` | | `max_pages` | integer | no | `1` | 0 = unlimited (safety cap 20) | *** ### Pricing This Actor uses Apify's **pay-per-event** model: | Event | Cost | When charged | |---|---|---| | `setup` | $0.02 | Once per run | | `page_processed` | $0.02 | Per page of results | **Worked example**: a 10-page run costs `$0.02 (setup) + 10 x $0.02 (pages) = $0.22`. A single-page run costs `$0.04`. Failed validation (missing `q`, conflicting `location` + `uule`) writes a structured error record to the dataset and exits **without charging** anything beyond setup. You always know your maximum cost up front: `setup + (max_pages x page_processed)`. *** ### How to get started 1. Click **Try for free** at the top of this Actor's Apify Store page. 2. Set a `q` (search query) and, if you want geo-targeted results, a `location`. 3. Run the Actor. Each page is pushed as its own dataset item; you can export to JSON, CSV, or Excel. 4. (Optional) Wire this Actor into Claude, ChatGPT, or Cursor through the [Apify MCP Server](https://docs.apify.com/platform/integrations/mcp) - see the MCP section above. *** ### FAQ **Q1. Is this a Google Maps scraper?** No. This Actor targets the **Google Local Search SERP** - the local pack inside a normal Google Search results page. The data layout, ranking, and ad behavior differ from Google Maps. Use this when you care about the SERP surface (local SEO rank tracking, snippet-style results, ad presence inside Search) rather than the Maps app. **Q2. How many businesses are returned per page?** Roughly 20 on desktop and 10 on mobile, matching what Google ships. Set `device` and `max_pages` to control. **Q3. Will my cost spike if Google returns more results than I expected?** No. You pay per page fetched, not per business. The cost of a single-page run is fixed at `$0.04` regardless of how many local results that page contains. **Q4. Why both `location` and `uule`?** `location` is the easy path (just a city name). `uule` is for advanced users who want sub-city or coordinate-level precision via Google's encoded-location format. They cannot be used together. **Q5. What happens if I supply an invalid input?** The Actor exits with a structured `error` record before doing any billable work. No setup or page charges are applied. **Q6. Does this work with AI agents through MCP?** Yes. See the **Use with Claude, ChatGPT, Cursor & other AI agents (MCP)** section near the top. MCP-compatible clients can discover and call this Actor natively. **Q7. Where do I see results?** In the Apify console under your run's **Dataset** tab. Export as JSON, CSV, or Excel from there. Each dataset item is one page; iterate them to walk all results. *** Whether you are wiring this up as an MCP tool for Claude, ChatGPT, or Cursor - or pulling Google Local data directly through Apify's API - you will have clean, structured local pack results in minutes. Click **Try for free** to run your first search. Last Updated: 2026.05.12 # Actor input Schema ## `q` (type: `string`): The Google Local search query. Examples: 'coffee', 'dentists near me', 'plumbers in Brooklyn', 'best pizza'. Combine with the 'location' field for city-level targeting. Any term valid in Google Local search is accepted. ## `location` (type: `string`): City-level location (e.g., 'Austin, Texas, United States', 'London', 'Brooklyn, New York'). Optional but recommended. Cannot be combined with 'uule'. If both are omitted, results use the API's default origin. ## `uule` (type: `string`): Advanced: Google-encoded location string for precise geographic targeting. Use instead of 'location' for fine-grained control. Cannot be combined with 'location'. ## `google_domain` (type: `string`): Which Google domain to query (e.g., 'google.com', 'google.co.uk', 'google.fr', 'google.de'). Defaults to 'google.com'. Use the regional domain for localized result formatting. ## `gl` (type: `string`): Two-letter country code (ISO 3166-1 alpha-2, e.g., 'us', 'uk', 'fr', 'de', 'jp'). Localizes search results to that country. Defaults to 'us'. ## `hl` (type: `string`): Two-letter language code (ISO 639-1, e.g., 'en', 'es', 'fr', 'de', 'ja'). Sets the language for the interface and result content. Defaults to 'en'. ## `ludocid` (type: `string`): Advanced: Google customer identifier (CID) for a specific place. When provided, narrows results around that single business. ## `tbs` (type: `string`): Advanced: Google search filter string for criteria not exposed elsewhere. See Google's filter documentation for valid syntax. ## `device` (type: `string`): Which device to emulate. Affects results-per-page count (desktop returns about 20 per page, mobile about 10) and result formatting. Defaults to 'desktop'. ## `max_pages` (type: `integer`): Maximum number of result pages to fetch (1-indexed). Set 0 for unlimited, bounded by a safety cap of 20 pages. Default: 1. Each fetched page is billed separately under pay-per-event. ## Actor input object example ```json { "q": "coffee", "location": "Austin, Texas, United States", "google_domain": "google.com", "gl": "us", "hl": "en", "device": "desktop", "max_pages": 1 } ``` # Actor output Schema ## `allResults` (type: `string`): Complete dataset with every page returned by the run. Each item is one page and contains local\_results, ads\_results, local\_map, discover\_more\_places, and search metadata. ## `localResults` (type: `string`): Filtered view focused on the local\_results array - the organic local pack businesses Google returns for the query, with rating, reviews, phone, hours, GPS, and place\_id. # 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 = { "q": "coffee", "location": "Austin, Texas, United States", "google_domain": "google.com", "gl": "us", "hl": "en" }; // Run the Actor and wait for it to finish const run = await client.actor("johnvc/google-local-api").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "q": "coffee", "location": "Austin, Texas, United States", "google_domain": "google.com", "gl": "us", "hl": "en", } # Run the Actor and wait for it to finish run = client.actor("johnvc/google-local-api").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "q": "coffee", "location": "Austin, Texas, United States", "google_domain": "google.com", "gl": "us", "hl": "en" }' | apify call johnvc/google-local-api --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=johnvc/google-local-api", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Local API | Local Pack & Business Search SERPs", "description": "Search Google Local results - the local pack inside Google Search SERPs. Extract businesses with rating, reviews, phone, hours, place_id, GPS coordinates. Country, language, and device targeting. Pay per page. MCP-ready for AI agents.", "version": "0.1", "x-build-id": "QDerNZ3ZfXtmu9gfk" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/johnvc~google-local-api/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-johnvc-google-local-api", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/johnvc~google-local-api/runs": { "post": { "operationId": "runs-sync-johnvc-google-local-api", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/johnvc~google-local-api/run-sync": { "post": { "operationId": "run-sync-johnvc-google-local-api", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "q" ], "properties": { "q": { "title": "Search Query", "minLength": 1, "type": "string", "description": "The Google Local search query. Examples: 'coffee', 'dentists near me', 'plumbers in Brooklyn', 'best pizza'. Combine with the 'location' field for city-level targeting. Any term valid in Google Local search is accepted." }, "location": { "title": "Location", "type": "string", "description": "City-level location (e.g., 'Austin, Texas, United States', 'London', 'Brooklyn, New York'). Optional but recommended. Cannot be combined with 'uule'. If both are omitted, results use the API's default origin." }, "uule": { "title": "UULE (Encoded Location)", "type": "string", "description": "Advanced: Google-encoded location string for precise geographic targeting. Use instead of 'location' for fine-grained control. Cannot be combined with 'location'." }, "google_domain": { "title": "Google Domain", "type": "string", "description": "Which Google domain to query (e.g., 'google.com', 'google.co.uk', 'google.fr', 'google.de'). Defaults to 'google.com'. Use the regional domain for localized result formatting." }, "gl": { "title": "Country Code", "pattern": "^[a-z]{2}$", "type": "string", "description": "Two-letter country code (ISO 3166-1 alpha-2, e.g., 'us', 'uk', 'fr', 'de', 'jp'). Localizes search results to that country. Defaults to 'us'." }, "hl": { "title": "Language Code", "pattern": "^[a-z]{2}$", "type": "string", "description": "Two-letter language code (ISO 639-1, e.g., 'en', 'es', 'fr', 'de', 'ja'). Sets the language for the interface and result content. Defaults to 'en'." }, "ludocid": { "title": "Place CID", "type": "string", "description": "Advanced: Google customer identifier (CID) for a specific place. When provided, narrows results around that single business." }, "tbs": { "title": "Advanced Filter String", "type": "string", "description": "Advanced: Google search filter string for criteria not exposed elsewhere. See Google's filter documentation for valid syntax." }, "device": { "title": "Device", "enum": [ "desktop", "tablet", "mobile" ], "type": "string", "description": "Which device to emulate. Affects results-per-page count (desktop returns about 20 per page, mobile about 10) and result formatting. Defaults to 'desktop'.", "default": "desktop" }, "max_pages": { "title": "Maximum Pages", "minimum": 0, "maximum": 100, "type": "integer", "description": "Maximum number of result pages to fetch (1-indexed). Set 0 for unlimited, bounded by a safety cap of 20 pages. Default: 1. Each fetched page is billed separately under pay-per-event.", "default": 1 } } }, "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 } } } } } } } } } } ```