# NOAA Weather Scraper (`parseforge/noaa-weather-scraper`) Actor Scrape weather data from NOAA including active weather alerts by state, 7-day forecasts by coordinates, and weather station locations with elevation and timezone. Covers all US states with severity levels, wind data, and precipitation probability. - **URL**: https://apify.com/parseforge/noaa-weather-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** Developer tools, Automation, Other - **Stats:** 3 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $6.00 / 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 ![ParseForge Banner](https://raw.githubusercontent.com/ParseForge/apify-assets/main/banner.jpg) ## 🌦️ NOAA Weather Scraper > πŸ•’ **Last updated:** 2026-05-05 Whether you're building a weather alert system, planning outdoor events, or researching weather station coverage, this tool makes it easy to collect structured weather data from the National Oceanic and Atmospheric Administration (NOAA) for any location in the United States. > **The NOAA Weather Scraper collects active weather alerts, detailed forecasts, and weather station data across all U.S. states. Get severity levels, temperature forecasts, wind conditions, precipitation probabilities, and station locations.** ### ✨ What Does It Do - 🚨 **Active weather alerts** - collect current weather warnings, watches, and advisories for any U.S. state with severity, urgency, and instructions - 🌑️ **Detailed forecasts** - get multi-day weather forecasts for any location with temperature, wind, and precipitation data - πŸ“‘ **Weather stations** - list all weather observation stations in a state with coordinates, elevation, and zone information - πŸ—ΊοΈ **State-level coverage** - query alerts and stations by U.S. state code (CA, TX, NY, etc.) - πŸ“ **Coordinate-based forecasts** - get precise forecasts for any latitude/longitude in the United States ### πŸ”§ Input - **Mode** - choose what type of weather data to collect (Active Weather Alerts, Weather Forecast, or Weather Stations) - **Max Items** - how many records to collect (free users get 10 items, paid users up to 1,000,000) - **State** - U.S. state code for alerts and stations modes (e.g., TX, CA, NY) - **Latitude** - latitude for forecast mode (e.g., 38.8894) - **Longitude** - longitude for forecast mode (e.g., -77.0352) ```json { "mode": "alerts", "state": "TX", "maxItems": 50 } ```` ### πŸ“Š Output Each record includes data fields specific to the selected mode. Download as JSON, CSV, or Excel. **Weather Alerts:** | Field | Description | |-------|-------------| | πŸ†” id | Unique alert identifier | | πŸ“ areaDesc | Affected geographic area | | 🚨 severity | Severity level (Extreme, Severe, Moderate, Minor) | | ⚑ urgency | Urgency (Immediate, Expected, Future) | | 🎯 certainty | Certainty (Observed, Likely, Possible) | | πŸŒͺ️ event | Type of weather event (Tornado Warning, Flood Watch, etc.) | | πŸ“‹ headline | Alert headline summary | | πŸ“ description | Full alert description | | πŸ“– instruction | Safety instructions | | πŸ• onset | When the event begins | | ⏰ expires | When the alert expires | | πŸ• scrapedAt | Timestamp when the data was collected | ```json { "id": "urn:oid:2.49.0.1.840.0.abc123", "areaDesc": "Harris County; Fort Bend County", "severity": "Severe", "certainty": "Likely", "urgency": "Expected", "event": "Severe Thunderstorm Warning", "headline": "Severe Thunderstorm Warning issued for Harris County", "description": "A severe thunderstorm was located near downtown Houston...", "instruction": "Move to an interior room on the lowest floor...", "onset": "2026-04-09T15:00:00-05:00", "expires": "2026-04-09T18:00:00-05:00", "senderName": "NWS Houston TX", "scrapedAt": "2026-04-09T12:00:00.000Z" } ``` **Weather Forecast:** ```json { "number": 1, "name": "Tonight", "startTime": "2026-04-09T18:00:00-05:00", "endTime": "2026-04-10T06:00:00-05:00", "temperature": 68, "temperatureUnit": "F", "probabilityOfPrecipitation": 20, "windSpeed": "10 mph", "windDirection": "S", "shortForecast": "Partly Cloudy", "detailedForecast": "Partly cloudy, with a low around 68...", "isDaytime": false, "scrapedAt": "2026-04-09T12:00:00.000Z" } ``` ### πŸ’Ž Why Choose the NOAA Weather Scraper? | Feature | Our Tool | Manual Weather Lookup | |---------|----------|----------------------| | Batch collection | βœ… All alerts for a state | ❌ Check one location at a time | | Multiple data types | βœ… Alerts, forecasts, stations | ❌ Navigate each separately | | All U.S. states | βœ… Any state code | ⚠️ Limited search options | | Structured output | βœ… JSON, CSV, Excel | ❌ Web pages only | | Automated scheduling | βœ… Hourly/daily monitoring | ❌ Manual visits | | Station metadata | βœ… Coordinates, elevation, zones | ⚠️ Buried in details | ### πŸ“‹ How to Use 1. **Sign Up** - [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) 2. **Configure** - select the mode (alerts, forecast, or stations) and provide the location 3. **Run It** - click "Start" and get structured weather data in seconds No coding, no setup, no manual browsing required. ### 🎯 Business Use Cases - 🚨 **Emergency management** - monitor severe weather alerts across multiple states for disaster preparedness and response - πŸ—οΈ **Construction companies** - check forecasts before scheduling outdoor work to avoid costly weather delays - πŸš› **Logistics and shipping** - track weather conditions along transportation routes to plan safe deliveries - 🌾 **Agriculture** - monitor weather alerts and forecasts for farming regions to protect crops and schedule operations - πŸ“Š **Insurance companies** - collect historical weather alert data for risk assessment and claims analysis - πŸŽͺ **Event planners** - check detailed forecasts before scheduling outdoor events and festivals ### πŸ”— Integrate NOAA Weather Scraper with any app - [Make](https://docs.apify.com/platform/integrations/make) - Automate weather monitoring workflows - [Zapier](https://docs.apify.com/platform/integrations/zapier) - Get alerts when severe weather is detected - [Slack](https://docs.apify.com/platform/integrations/slack) - Get notified in your team channel - [Google Drive](https://docs.apify.com/platform/integrations/drive) - Export weather data to spreadsheets - [Webhooks](https://docs.apify.com/platform/integrations/webhooks) - Trigger actions when runs complete ### πŸ’‘ Recommended Actors Looking for more data collection tools? Check out these related actors: | Actor | Description | Link | |-------|-------------|------| | FAA Aircraft Registry Scraper | Extract aircraft registration records | [Link](https://apify.com/parseforge/faa-aircraft-registry-scraper) | | GSA eLibrary Scraper | Collect government contract data from GSA | [Link](https://apify.com/parseforge/gsa-elibrary-scraper) | | FINRA BrokerCheck Scraper | Look up broker and advisor registration data | [Link](https://apify.com/parseforge/finra-brokercheck-scraper) | | Greatschools Scraper | Collect school ratings and data | [Link](https://apify.com/parseforge/greatschools-scraper) | | PR Newswire Scraper | Collect press releases and news | [Link](https://apify.com/parseforge/pr-newswire-scraper) | **Pro Tip:** πŸ’‘ Browse our complete collection of [data collection actors](https://apify.com/parseforge) to find the perfect tool for your needs. ### πŸ†˜ Need Help? - Visit the [Apify documentation](https://docs.apify.com) for platform guides - Contact us at [Tally contact form](https://tally.so/r/BzdKgA) ### ⚠️ Disclaimer > This Actor is an independent tool and is not affiliated with, endorsed by, or connected to the National Oceanic and Atmospheric Administration (NOAA), the National Weather Service, or any government agency. It accesses only publicly available data. *** ### ✨ Why choose this Actor | | Capability | |---|---| | 🎯 | **Built for the job.** Scoped specifically to this data source so you skip the parser engineering entirely. | | πŸ”– | **Structured output.** Clean, typed fields ready for analysis, dashboards, or downstream pipelines. | | ⚑ | **Fast.** Optimized request patterns return results in seconds, not minutes. | | πŸ” | **Always fresh.** Every run pulls live data, so the dataset reflects the source as of run time. | | 🌐 | **No infra to manage.** Apify handles proxies, retries, scaling, scheduling, and storage. | | πŸ›‘οΈ | **Reliable.** Battle-tested across many runs and edge cases, with graceful error handling. | | 🚫 | **No code required.** Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK. | > πŸ“Š Production-grade structured data without the engineering overhead of building and maintaining your own scraper. *** ### πŸ“ˆ How it compares to alternatives | Approach | Cost | Coverage | Refresh | Filters | Setup | |---|---|---|---|---|---| | **⭐ NOAA Weather Scraper** *(this Actor)* | $5 free credit, then pay-per-use | Full source coverage | **Live per run** | Source-native filters supported | ⚑ 2 min | | Build your own scraper | Engineering hours | Full once built | Whenever you maintain it | Custom code | 🐒 Days to weeks | | Paid managed APIs | $$$ monthly | Vendor-defined | Live | Vendor-defined | ⏳ Hours | | Third-party data dumps | Varies | Subset, often stale | Periodic | None | πŸ•’ Variable | Pick this Actor when you want broad coverage, server-side filtering, and no pipeline maintenance. *** ### πŸš€ How to use 1. πŸ“ **Sign up.** [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) (takes 2 minutes). 2. 🌐 **Open the Actor.** Go to the NOAA Weather Scraper page on the Apify Store. 3. 🎯 **Set input.** Configure the input fields in the form (or paste a JSON), then set `maxItems`. 4. πŸš€ **Run it.** Click **Start** and let the Actor collect your data. 5. πŸ“₯ **Download.** Grab your results in the **Dataset** tab as CSV, Excel, JSON, or XML. > ⏱️ Total time from signup to downloaded dataset: **3-5 minutes.** No coding required. *** ### πŸ’Ό Business use cases
#### πŸ“Š Data & Analytics - Build trend reports and dashboards from live source data - Feed BI tools, warehouses, and ML pipelines with structured records - Run periodic snapshots to track changes over time - Compare segments, regions, or categories with consistent fields #### 🏒 Operations & Strategy - Monitor competitor moves, pricing, and inventory shifts - Build internal directories and lookup tools backed by current data - Power workflows that depend on fresh source records - Cut manual data-gathering time from hours to minutes
#### 🎯 Marketing & Growth - Identify market opportunities and trending topics - Research target audiences and customer personas at scale - Power lead-generation pipelines with verified records - Track sentiment, reviews, or social signals over time #### πŸ› οΈ Engineering & Product - Prototype features that need real-world data without owning a crawler - Replace fragile in-house scrapers with a managed Actor - Wire datasets into your apps via the Apify API or webhooks - Skip the proxy, retry, and parsing maintenance entirely
*** ### 🌟 Beyond business use cases Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.
#### πŸŽ“ Research and academia - Empirical datasets for papers, thesis work, and coursework - Longitudinal studies tracking changes across snapshots - Reproducible research with cited, versioned data pulls - Classroom exercises on data analysis and ethical scraping #### 🎨 Personal and creative - Side projects, portfolio demos, and indie app launches - Data visualizations, dashboards, and infographics - Content research for bloggers, YouTubers, and podcasters - Hobbyist collections and personal trackers
#### 🀝 Non-profit and civic - Transparency reporting and accountability projects - Advocacy campaigns backed by public-interest data - Community-run databases for local issues - Investigative journalism on public records #### πŸ§ͺ Experimentation - Prototype AI and machine-learning pipelines with real data - Validate product-market hypotheses before engineering spend - Train small domain-specific models on niche corpora - Test dashboard concepts with live input
*** ### πŸ”Œ Integrate with any app NOAA Weather Scraper connects to any cloud service via [Apify integrations](https://apify.com/integrations): - [**Make**](https://docs.apify.com/platform/integrations/make) - Automate multi-step workflows - [**Zapier**](https://docs.apify.com/platform/integrations/zapier) - Connect with 5,000+ apps - [**Slack**](https://docs.apify.com/platform/integrations/slack) - Get run notifications in your channels - [**Airbyte**](https://docs.apify.com/platform/integrations/airbyte) - Pipe results into your warehouse - [**GitHub**](https://docs.apify.com/platform/integrations/github) - Trigger runs from commits and releases - [**Google Drive**](https://docs.apify.com/platform/integrations/drive) - Export datasets straight to Sheets You can also use webhooks to trigger downstream actions when a run finishes. Push fresh data into your product backend, or alert your team in Slack. *** ### πŸ€– Ask an AI assistant about this scraper Open a ready-to-send prompt about this ParseForge actor in the AI of your choice: - πŸ’¬ [**ChatGPT**](https://chat.openai.com/?q=How%20do%20I%20use%20the%20NOAA%20Weather%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - 🧠 [**Claude**](https://claude.ai/new?q=How%20do%20I%20use%20the%20NOAA%20Weather%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - πŸ” [**Perplexity**](https://perplexity.ai/search?q=How%20do%20I%20use%20the%20NOAA%20Weather%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - πŸ…’ [**Copilot**](https://copilot.microsoft.com/?q=How%20do%20I%20use%20the%20NOAA%20Weather%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) *** ### ❓ Frequently Asked Questions #### 🧩 How does it work? Configure your input in the form, click Start, and the Actor collects the requested records and emits a clean structured dataset. No browser automation, no captchas, no setup. #### πŸ“ How accurate is the data? The Actor pulls data live from the source on every run, so the records reflect what the source publishes at run time. For high-stakes decisions, cross-check against the source directly. #### πŸ” How often is the dataset refreshed? Every run fetches live data at the moment of execution. There is no cache or delay: the records you get reflect what the source returned at that moment. #### ⏰ Can I schedule regular runs? Yes. Use Apify Schedules to run this Actor on any cron interval (hourly, daily, weekly) and keep a downstream database in sync. #### βš–οΈ Is this data legal to use? The Actor only collects publicly available information. Review the downstream terms of your specific use case for compliance with local laws and the source's terms of service. #### πŸ’Ό Can I use this data commercially? Yes, with appropriate attribution where required. You are responsible for complying with applicable licensing terms and any downstream regulatory requirements in your own product. #### πŸ’³ Do I need a paid Apify plan to use this Actor? No. The free Apify plan is enough for testing and small runs (10 records per run). A paid plan lifts the limit and gives you access to scheduling, higher concurrency, and larger datasets. #### πŸ” What happens if a run fails or gets interrupted? Apify automatically retries transient errors. If a run still fails, you can inspect the log in the Runs tab, fix the input, and re-run. Partial datasets from failed runs are preserved so you never lose progress. #### πŸ“€ How do I export the data? Open the Dataset tab after the run completes and download in CSV, Excel, JSON, or XML format. You can also stream the data to your own systems via the Apify API or pre-built integrations. #### 🚨 Will my run be charged if it returns no results? Failed runs are not charged. If the source site changes, proxies get rate-limited, or a specific input matches nothing, re-run the Actor or open our [contact form](https://tally.so/r/BzdKgA) and we will investigate. #### πŸ†˜ What if I need help? Our support team is here to help. Contact us through the Apify platform or use the Tally contact form linked below. # Actor input Schema ## `mode` (type: `string`): Select the type of weather data to scrape ## `maxItems` (type: `integer`): Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000 ## `state` (type: `string`): US state code for alerts and stations modes (e.g., TX, CA, NY) ## `latitude` (type: `number`): Latitude for forecast mode (e.g., 38.8894) ## `longitude` (type: `number`): Longitude for forecast mode (e.g., -77.0352) ## Actor input object example ```json { "mode": "alerts", "maxItems": 10, "state": "CA" } ``` # Actor output Schema ## `overview` (type: `string`): Overview # 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": "alerts", "maxItems": 10, "state": "CA" }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/noaa-weather-scraper").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 = { "mode": "alerts", "maxItems": 10, "state": "CA", } # Run the Actor and wait for it to finish run = client.actor("parseforge/noaa-weather-scraper").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 '{ "mode": "alerts", "maxItems": 10, "state": "CA" }' | apify call parseforge/noaa-weather-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/noaa-weather-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NOAA Weather Scraper", "description": "Scrape weather data from NOAA including active weather alerts by state, 7-day forecasts by coordinates, and weather station locations with elevation and timezone. Covers all US states with severity levels, wind data, and precipitation probability.", "version": "0.0", "x-build-id": "Jbh9SbRF7pe5Q7j6G" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~noaa-weather-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-noaa-weather-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~noaa-weather-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-noaa-weather-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~noaa-weather-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-noaa-weather-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "alerts", "forecast", "stations", "observations" ], "type": "string", "description": "Select the type of weather data to scrape" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000" }, "state": { "title": "State", "type": "string", "description": "US state code for alerts and stations modes (e.g., TX, CA, NY)" }, "latitude": { "title": "Latitude", "type": "number", "description": "Latitude for forecast mode (e.g., 38.8894)" }, "longitude": { "title": "Longitude", "type": "number", "description": "Longitude for forecast mode (e.g., -77.0352)" } } }, "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 } } } } } } } } } } ```