# DEA Controlled Substance Registrant Actions Crawler (`jungle_synthesizer/dea-arcos-prescriber-crawler`) Actor Crawl DEA administrative actions, registration revocations, suspensions, and controlled-substance applications from the Federal Register API. Extracts DEA registration numbers, action types, registrant names, and states for opioid litigation, pharma sales, and compliance. - **URL**: https://apify.com/jungle\_synthesizer/dea-arcos-prescriber-crawler.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Business, Lead generation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## DEA Controlled Substance Registrant Actions Crawler Extract DEA administrative actions, registration decisions, and controlled-substance applications from the [Federal Register API](https://www.federalregister.gov/developers/documentation/api/v1). Covers 7,000+ DEA publications — revocations, suspensions, show-cause orders, surrenders, and bulk manufacturer/importer applications. Enrichment mode extracts DEA Certificate of Registration numbers, state jurisdiction, and classified action types directly from document body text. ### DEA Registrant Actions Crawler Features - Classify records into `DECISION_AND_ORDER`, `SHOW_CAUSE`, `APPLICATION_MANUFACTURER`, `APPLICATION_IMPORTER`, `APPLICATION_EXPORTER`, `APPLICATION_NTP`, `QUOTA`, `RULE`, `NOTICE` - Classify actions into `REVOCATION`, `SUSPENSION`, `DENIAL`, `SURRENDER`, `GRANT`, `DISMISSAL` - Infer business activity from the title: `PHARMACY`, `PRACTITIONER`, `HOSPITAL`, `MANUFACTURER`, `IMPORTER`, `EXPORTER`, `DISTRIBUTOR`, `NARCOTIC_TREATMENT` - Optional body-text enrichment: regex-extract DEA numbers (`FS1451222` format), state/city of jurisdiction, and confirm action type - Filter by record type (actions, applications, or all), date range, full-text search, or state - Reads the Federal Register v1 JSON API directly — no HTML scraping - No proxy required — Federal Register is a public US government service - Pay-per-event pricing at $0.001 per record ### Who Uses DEA Registrant Action Data and Why? - **Opioid-litigation researchers and plaintiff attorneys** — identify pharmacies, prescribers, and distributors with DEA revocations or show-cause orders to support case discovery and expert witness strategy - **Pharmaceutical sales teams** — flag prescribers and pharmacies whose DEA registrations have been suspended or revoked before targeting them in sales campaigns - **Pharmacy M&A due-diligence firms** — screen acquisition targets against the full history of DEA administrative actions - **Compliance monitoring vendors** — track new show-cause orders and immediate-suspension orders as they publish, classified by action type and jurisdiction - **Policy and academic researchers** — analyze DEA enforcement patterns across states, business activities, and controlled-substance schedules ### How DEA Registrant Actions Crawler Works 1. You choose a mode — `actions` (decisions, orders, suspensions), `applications` (bulk manufacturer / importer / exporter), or `all`. 2. The crawler queries `federalregister.gov/api/v1/documents.json` filtered to the Drug Enforcement Administration (agency slug `drug-enforcement-administration`). 3. For each document, metadata (title, abstract, publication date, citation, action, URLs) is returned immediately. 4. When enrichment is enabled (default), the crawler fetches the document body text and regex-extracts the DEA registration number(s), state jurisdiction, and action type. 5. Records are classified and saved to the dataset with normalized fields. ### Input #### Default: Recent DEA actions with enrichment ```json { "mode": "actions", "enrichFromBody": true, "maxItems": 100 } ```` #### Applications by manufacturer/importer ```json { "mode": "applications", "maxItems": 200, "enrichFromBody": false } ``` #### Opioid-related actions in 2025 ```json { "mode": "actions", "searchTerm": "opioid", "dateFrom": "2025-01-01", "dateTo": "2025-12-31", "maxItems": 500 } ``` #### Florida pharmacies only ```json { "mode": "actions", "states": ["FL"], "enrichFromBody": true, "maxItems": 200 } ``` #### Full DEA corpus (everything) ```json { "mode": "all", "enrichFromBody": false, "maxItems": 0 } ``` #### Input Parameters | Field | Type | Default | Description | |-------|------|---------|-------------| | mode | string | `"actions"` | Record filter — `actions`, `applications`, or `all`. | | searchTerm | string | `""` | Full-text search within DEA documents (combined with the mode filter). | | states | string\[] | `[]` | Filter to these 2-letter state codes. Requires `enrichFromBody` to populate the state field. | | dateFrom | string | `""` | Return documents published on or after this date (YYYY-MM-DD). | | dateTo | string | `""` | Return documents published on or before this date (YYYY-MM-DD). | | enrichFromBody | boolean | `true` | Fetch each document body and regex-extract DEA numbers, city/state, and action type. Adds ~150 ms per record. | | maxItems | integer | `100` | Maximum number of records to return. Set to `0` for all matching records. | | proxyConfiguration | object | `{ useApifyProxy: false }` | Federal Register is a government API and does not require proxies. | ### DEA Registrant Actions Crawler Output Fields #### Example Output (decision with body enrichment) ```json { "document_number": "2026-00629", "title": "Pine Pharmacy; Decision and Order", "record_type": "DECISION_AND_ORDER", "action_type": "REVOCATION", "registrant_name": "Pine Pharmacy", "business_activity": "PHARMACY", "dea_numbers": ["FS1451222"], "state": "FL", "city": "Ocala", "publication_date": "2026-01-15", "effective_on": null, "abstract": null, "action": null, "citation": "91 FR 1818", "agencies": [ "Justice Department (justice-department)", "Drug Enforcement Administration (drug-enforcement-administration)" ], "html_url": "https://www.federalregister.gov/documents/2026/01/15/2026-00629/pine-pharmacy-decision-and-order", "pdf_url": "https://www.govinfo.gov/content/pkg/FR-2026-01-15/pdf/2026-00629.pdf", "raw_text_url": "https://www.federalregister.gov/documents/full_text/text/2026/01/15/2026-00629.txt", "topics": [], "scraped_at": "2026-04-20T14:18:22.417Z" } ``` #### Example Output (manufacturer application, no enrichment) ```json { "document_number": "2026-07562", "title": "Bulk Manufacturer of Controlled Substances Application: Usona Institute, Inc.", "record_type": "APPLICATION_MANUFACTURER", "action_type": "", "registrant_name": "Usona Institute, Inc.", "business_activity": "MANUFACTURER", "dea_numbers": [], "state": "", "city": "", "publication_date": "2026-04-17", "abstract": "Usona Institute, Inc. has applied to be registered as a bulk manufacturer of basic class(es) of controlled substance(s)...", "action": "Notice of application.", "citation": "91 FR 20702", "html_url": "https://www.federalregister.gov/documents/2026/04/17/2026-07562/bulk-manufacturer-of-controlled-substances-application-usona-institute-inc", "pdf_url": "https://www.govinfo.gov/content/pkg/FR-2026-04-17/pdf/2026-07562.pdf" } ``` #### Output Field Reference | Field | Type | Description | |-------|------|-------------| | document\_number | string | Federal Register document number (e.g., `2026-00629`) | | title | string | Document title | | record\_type | string | `DECISION_AND_ORDER`, `SHOW_CAUSE`, `APPLICATION_MANUFACTURER`, `APPLICATION_IMPORTER`, `APPLICATION_EXPORTER`, `APPLICATION_NTP`, `APPLICATION_OTHER`, `QUOTA`, `RULE`, `NOTICE` | | action\_type | string | `REVOCATION`, `SUSPENSION`, `DENIAL`, `SURRENDER`, `GRANT`, `DISMISSAL`, or empty | | registrant\_name | string | Business or practitioner name extracted from the title | | business\_activity | string | `PHARMACY`, `PRACTITIONER`, `HOSPITAL`, `MANUFACTURER`, `IMPORTER`, `EXPORTER`, `DISTRIBUTOR`, `NARCOTIC_TREATMENT`, or `OTHER` | | dea\_numbers | string\[] | DEA Certificate of Registration numbers extracted from the body (2 letters + 7 digits, e.g., `FS1451222`) | | state | string | 2-letter state code of jurisdiction (requires enrichment) | | city | string | City of jurisdiction (requires enrichment) | | publication\_date | string | Federal Register publication date (YYYY-MM-DD) | | effective\_on | string | Effective date of the action where specified | | abstract | string | Document abstract provided by the Federal Register | | action | string | Regulatory action description from the metadata | | citation | string | Federal Register citation (e.g., `91 FR 1818`) | | agencies | string\[] | Publishing agencies — always includes Drug Enforcement Administration | | html\_url | string | Document URL on federalregister.gov | | pdf\_url | string | PDF URL on govinfo.gov | | raw\_text\_url | string | Full body text URL | | topics | string\[] | Federal Register subject matter topics | | scraped\_at | string | ISO timestamp when this record was scraped | ### FAQ **How many DEA records does this cover?** Roughly 7,000 Federal Register documents from the Drug Enforcement Administration going back to 2006. Around 500–700 new documents publish each year. **What does "enrichment" actually do?** For each document, the crawler fetches the body text from `raw_text_url` and runs regex extraction. It pulls DEA Certificate of Registration numbers, the registrant's city/state, and — when the metadata didn't classify it — infers the action type (REVOCATION, SUSPENSION, etc.) from phrasing in the body. Enrichment adds ~150 ms per record but is the main value of the crawler. **Can I turn off enrichment?** Yes. Set `enrichFromBody` to `false`. You still get title, record\_type, business\_activity, registrant\_name, action, abstract, and all URLs — just no DEA numbers or extracted state. **Does the state filter work without enrichment?** No. The state is extracted from the document body. If you use `states` without `enrichFromBody`, no records will match. **Do I need a proxy?** No. The Federal Register API is a public US government service with no authentication, no rate limiting, and no anti-bot measures. Proxies are disabled by default. **How fast does it run?** A 100-record run with enrichment completes in ~25 seconds. A full 7,000-record corpus crawl with enrichment takes ~18 minutes. Memory usage is low — 256 MB is the default. **What does it cost?** $0.001 per record. A 100-record run costs $0.20. A full corpus crawl (7,000 records) costs $7.10 including the $0.10 start charge. **Can I schedule this to monitor new DEA actions?** Yes. Set `dateFrom` to the previous run date (e.g., `{ dateFrom: '2026-04-01' }`) and schedule the actor to run daily. New documents will appear within 1–2 business days of publication. **Does this include ARCOS distribution data?** Not in this version. ARCOS quarterly drug distribution reports are published as PDF tables and require a separate extraction pipeline. The data you get here is the DEA's *administrative* side — registration decisions, actions, and applications. **Does it link to NPI numbers?** Not yet. You can combine this actor with the OrbLabs [`nppes-npi-crawler`](https://apify.com/jungle_synthesizer/nppes-npi-crawler) actor to join DEA actions with NPI registry data by practitioner name. ### Need More Features? Need ARCOS distribution data, NPPES cross-linking, or custom classification? [File an issue](https://console.apify.com/actors/issues) or get in touch. ### Why Use This DEA Registrant Actions Crawler? - **Classified output, not raw PDFs** — Every record is tagged with record type, action type, and business activity. No post-processing required. - **Body-text enrichment** — DEA registration numbers, state jurisdiction, and action types pulled from the document body, not just the title and metadata. - **Zero Apify competitors in this niche** — This is the first Apify actor unifying DEA enforcement actions in a structured dataset. - **Priced per record** — $0.001 per record. A targeted 100-record query costs less than a dollar. - **Built on the Federal Register API** — Reads a stable, documented, government-maintained JSON endpoint. No website scrape to break. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `mode` (type: `string`): Filter by DEA record type. 'actions' returns decisions, revocations, suspensions, and show-cause orders. 'applications' returns bulk manufacturer/importer applications. 'all' returns every DEA Federal Register document. ## `searchTerm` (type: `string`): Full-text search within DEA Federal Register documents. E.g., 'pharmacy', 'opioid', 'fentanyl'. Leave empty to return all matching records for the selected mode. ## `states` (type: `array`): Filter records by state jurisdiction (extracted from document body). Multi-select. Leave empty for all states. ## `dateFrom` (type: `string`): Return DEA documents published on or after this date (YYYY-MM-DD). ## `dateTo` (type: `string`): Return DEA documents published on or before this date (YYYY-MM-DD). ## `enrichFromBody` (type: `boolean`): Fetch the full document body text for each record and regex-extract DEA registration numbers, state jurisdictions, and action types. Slower (one extra fetch per record) but dramatically more structured data. ## `maxItems` (type: `integer`): Maximum number of DEA documents to return. ## `proxyConfiguration` (type: `object`): Select proxies. The Federal Register API is a government service and does not require proxies. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "actions", "states": [], "enrichFromBody": true, "maxItems": 100, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `results` (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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "actions", "searchTerm": "", "states": [], "dateFrom": "", "dateTo": "", "enrichFromBody": true, "maxItems": 100, "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/dea-arcos-prescriber-crawler").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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "actions", "searchTerm": "", "states": [], "dateFrom": "", "dateTo": "", "enrichFromBody": True, "maxItems": 100, "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/dea-arcos-prescriber-crawler").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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "actions", "searchTerm": "", "states": [], "dateFrom": "", "dateTo": "", "enrichFromBody": true, "maxItems": 100, "proxyConfiguration": { "useApifyProxy": false } }' | apify call jungle_synthesizer/dea-arcos-prescriber-crawler --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/dea-arcos-prescriber-crawler", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "DEA Controlled Substance Registrant Actions Crawler", "description": "Crawl DEA administrative actions, registration revocations, suspensions, and controlled-substance applications from the Federal Register API. Extracts DEA registration numbers, action types, registrant names, and states for opioid litigation, pharma sales, and compliance.", "version": "1.0", "x-build-id": "fkkfdpElLRrB0QXRK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~dea-arcos-prescriber-crawler/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-dea-arcos-prescriber-crawler", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~dea-arcos-prescriber-crawler/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-dea-arcos-prescriber-crawler", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~dea-arcos-prescriber-crawler/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-dea-arcos-prescriber-crawler", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "sp_intended_usage", "sp_improvement_suggestions" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "mode": { "title": "Record Type", "enum": [ "actions", "applications", "all" ], "type": "string", "description": "Filter by DEA record type. 'actions' returns decisions, revocations, suspensions, and show-cause orders. 'applications' returns bulk manufacturer/importer applications. 'all' returns every DEA Federal Register document." }, "searchTerm": { "title": "Search Term", "type": "string", "description": "Full-text search within DEA Federal Register documents. E.g., 'pharmacy', 'opioid', 'fentanyl'. Leave empty to return all matching records for the selected mode." }, "states": { "title": "State Filter", "type": "array", "description": "Filter records by state jurisdiction (extracted from document body). Multi-select. Leave empty for all states.", "items": { "type": "string", "enum": [ "AL", "AK", "AZ", "AR", "CA", "CO", "CT", "DE", "DC", "FL", "GA", "HI", "ID", "IL", "IN", "IA", "KS", "KY", "LA", "ME", "MD", "MA", "MI", "MN", "MS", "MO", "MT", "NE", "NV", "NH", "NJ", "NM", "NY", "NC", "ND", "OH", "OK", "OR", "PA", "PR", "RI", "SC", "SD", "TN", "TX", "UT", "VT", "VA", "WA", "WV", "WI", "WY" ], "enumTitles": [ "Alabama", "Alaska", "Arizona", "Arkansas", "California", "Colorado", "Connecticut", "Delaware", "District of Columbia", "Florida", "Georgia", "Hawaii", "Idaho", "Illinois", "Indiana", "Iowa", "Kansas", "Kentucky", "Louisiana", "Maine", "Maryland", "Massachusetts", "Michigan", "Minnesota", "Mississippi", "Missouri", "Montana", "Nebraska", "Nevada", "New Hampshire", "New Jersey", "New Mexico", "New York", "North Carolina", "North Dakota", "Ohio", "Oklahoma", "Oregon", "Pennsylvania", "Puerto Rico", "Rhode Island", "South Carolina", "South Dakota", "Tennessee", "Texas", "Utah", "Vermont", "Virginia", "Washington", "West Virginia", "Wisconsin", "Wyoming" ] } }, "dateFrom": { "title": "Published After", "type": "string", "description": "Return DEA documents published on or after this date (YYYY-MM-DD)." }, "dateTo": { "title": "Published Before", "type": "string", "description": "Return DEA documents published on or before this date (YYYY-MM-DD)." }, "enrichFromBody": { "title": "Enrich From Document Body", "type": "boolean", "description": "Fetch the full document body text for each record and regex-extract DEA registration numbers, state jurisdictions, and action types. Slower (one extra fetch per record) but dramatically more structured data." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of DEA documents to return.", "default": 100 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Select proxies. The Federal Register API is a government service and does not require proxies." } } }, "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 } } } } } } } } } } ```