# Federal Court Locator Scraper (`parseforge/pacer-court-locator-scraper`) Actor Pull every US federal court (district, bankruptcy, appellate, special) with PACER court ID, FJC ID, RSS feed, court URL, jurisdiction code, citation string, and active status. Filter by jurisdiction, state, or court name. Export to JSON, CSV, or Excel for legal directories and court tracking. - **URL**: https://apify.com/parseforge/pacer-court-locator-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** Other, Business, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $8.25 / 1,000 items 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://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true) ## πŸ›οΈ Federal Court Locator Scraper > πŸš€ **Pull every US federal court with PACER ID, RSS feed, citation, and jurisdiction.** Filter by court type, state, or name. No login, no API key. > πŸ•’ **Last updated:** 2026-05-01 Β· **πŸ“Š 18 fields** per court Β· **πŸ›οΈ 200+ federal courts** Β· **πŸ‡ΊπŸ‡Έ all jurisdictions** Β· **πŸ†“ Court Listener REST API** The **Federal Court Locator Scraper** returns every US federal court (district, bankruptcy, appellate, special) with PACER court ID, FJC court ID, RSS feed status, court URL, jurisdiction code, citation string, parent court, and active flag. Each record also includes capability flags for opinion and oral argument scrapers, which Court Listener tracks per court. The Court Listener REST API is the de-facto canonical machine-readable source for federal court structure, used by Free Law Project, RECAP, and many legal-tech tools. The official PACER court locator is JS-rendered and hard to scrape directly. This Actor reads Court Listener's clean public API and returns federal court metadata as structured records in seconds. | 🎯 Target Audience | πŸ’‘ Primary Use Cases | |---|---| | Legal tech engineers, journalists, docket aggregators, legal researchers | Court directory builds, RSS feed aggregation, jurisdiction lookup, legal mapping | --- ### πŸ“‹ What the Federal Court Locator Scraper does Three filtering workflows in a single run: - πŸ›οΈ **Jurisdiction filter.** All, federal (`F`), federal district (`FD`), federal bankruptcy (`FB`), federal appellate, federal special. - βš™οΈ **Active-only flag.** Filter to courts currently in active use. - πŸ” **Name filter.** Substring match on the full court name. Each row reports the Court Listener slug ID, PACER court ID, FJC court ID, short and full court name, citation string, jurisdiction code, official court website URL, RSS feed availability and entry types, in-use flag, opinion and oral argument scraper capability, position number, start date, end date, parent court, and Court Listener resource URI. > πŸ’‘ **Why it matters:** legal tech tools, docket aggregators, and journalism workflows all need a clean federal court directory. Building one from scratch means crawling JS-rendered PACER pages and hitting captchas. Court Listener publishes the same data as a free REST API, and this Actor turns it into one-click structured rows. --- ### 🎬 Full Demo _🚧 Coming soon: a 3-minute walkthrough showing how to go from sign-up to a downloaded dataset._ --- ### βš™οΈ Input
InputTypeDefaultBehavior
maxItemsinteger10Courts to return. Free plan caps at 10, paid plan at 1,000,000.
jurisdictionstring"FD"all, F, FD, FB, FBP, FS, FSP.
inUseOnlybooleantrueWhen true, only returns courts marked as currently in use.
courtNamestringemptyCase-insensitive substring match on full court name.
**Example: every active federal district court.** ```json { "maxItems": 200, "jurisdiction": "FD", "inUseOnly": true } ```` **Example: every court with "California" in its name.** ```json { "maxItems": 50, "jurisdiction": "all", "courtName": "California" } ``` > ⚠️ **Good to Know:** Court Listener's anonymous quota is 5,000 requests per hour per IP, comfortably above any reasonable scrape volume. The dataset has 3,358 entries total covering federal plus parent buckets, so very wide queries return that full list. *** ### πŸ“Š Output Each court record contains **18 fields**. Download as CSV, Excel, JSON, or XML. #### 🧾 Schema | Field | Type | Example | |---|---|---| | πŸ†” `courtId` | string | `"scotus"` | | πŸ›οΈ `pacerCourtId` | integer | null | `null` | | πŸ—‚οΈ `fjcCourtId` | string | null | `null` | | 🏷️ `shortName` | string | `"Supreme Court"` | | πŸ“› `fullName` | string | `"Supreme Court of the United States"` | | πŸ“š `citationString` | string | `"SCOTUS"` | | βš–οΈ `jurisdiction` | string | `"F"` | | 🌐 `courtUrl` | string | null | `"http://supremecourt.gov/"` | | πŸ“‘ `pacerHasRssFeed` | boolean | null | `null` | | πŸ“° `pacerRssEntryTypes` | string | null | `null` | | βœ… `inUse` | boolean | `true` | | πŸ“‘ `hasOpinionScraper` | boolean | `true` | | 🎀 `hasOralArgumentScraper` | boolean | `true` | | πŸ”’ `position` | number | `1` | | πŸ“… `startDate` | ISO date | `"1789-09-24"` | | πŸ“… `endDate` | ISO date | null | `null` | | 🌳 `parentCourt` | string | null | `null` | | πŸ”— `resourceUri` | string | `"https://www.courtlistener.com/api/rest/v4/courts/scotus/..."` | | πŸ•’ `scrapedAt` | ISO 8601 | `"2026-05-01T02:00:10.503Z"` | #### πŸ“¦ Sample records
πŸ‡ΊπŸ‡Έ Supreme Court of the United States (top of the tree) ```json { "courtId": "scotus", "pacerCourtId": null, "shortName": "Supreme Court", "fullName": "Supreme Court of the United States", "citationString": "SCOTUS", "jurisdiction": "F", "courtUrl": "http://supremecourt.gov/", "inUse": true, "hasOpinionScraper": true, "hasOralArgumentScraper": true, "position": 1, "startDate": "1789-09-24", "endDate": null, "parentCourt": null, "resourceUri": "https://www.courtlistener.com/api/rest/v4/courts/scotus/?format=json", "scrapedAt": "2026-05-01T02:00:10.503Z" } ```
πŸ›οΈ District Court for the District of Columbia with PACER ID ```json { "courtId": "dcd", "pacerCourtId": 45, "fjcCourtId": "90", "shortName": "District of Columbia", "fullName": "District Court, District of Columbia", "citationString": "D.D.C.", "jurisdiction": "FD", "courtUrl": "http://www.dcd.uscourts.gov/", "pacerHasRssFeed": true, "pacerRssEntryTypes": "all", "inUse": true, "hasOpinionScraper": true, "parentCourt": "https://www.courtlistener.com/api/rest/v4/courts/usdistct/?format=json" } ```
πŸ“š Bankruptcy court entry ```json { "courtId": "cacb", "pacerCourtId": 78, "shortName": "C.D. Cal. Bankruptcy", "fullName": "United States Bankruptcy Court, Central District of California", "citationString": "Bankr. C.D. Cal.", "jurisdiction": "FB", "courtUrl": "http://www.cacb.uscourts.gov/", "pacerHasRssFeed": true, "inUse": true } ```
*** ### ✨ Why choose this Actor | | Capability | |---|---| | πŸ†“ | **Free public REST API.** Reads Court Listener's open data layer. | | πŸ›οΈ | **All federal jurisdictions.** District, bankruptcy, appellate, special, plus SCOTUS. | | πŸ†” | **PACER + FJC IDs.** Cross-reference with PACER docket tooling. | | πŸ“‘ | **RSS feed flags.** Tells you which courts publish a docket RSS. | | πŸ” | **Name filter.** Substring search on full court name. | | πŸš€ | **Sub-15-second runs.** Typical 100-court pulls finish in 9 to 15 seconds. | | πŸ”— | **Stable resource URIs.** Each record carries a Court Listener resource URI for follow-up calls. | > πŸ“Š In a single 14-second run the Actor returned 100 federal courts including SCOTUS, district, bankruptcy, and appellate. *** ### πŸ“ˆ How it compares to alternatives | Approach | Cost | Coverage | Refresh | Filters | Setup | |---|---|---|---|---|---| | Manual PACER locator scrape | Free | JS-rendered, blocked | Live | None | Engineer hours + browser | | Paid legal-data subscriptions | $$$ subscription | Full | Daily | Built-in | Account setup | | Self-curated CSV | Free | Stale | Manual refresh | None | Spreadsheet maintenance | | **⭐ Federal Court Locator Scraper** *(this Actor)* | Pay-per-event | Every federal court | Live | Jurisdiction, name, in-use | None | Same court directory Court Listener publishes openly, exposed as one-click structured rows. *** ### πŸš€ How to use 1. πŸ†“ **Create a free Apify account.** [Sign up here](https://console.apify.com/sign-up?fpr=vmoqkp) and get $5 in free credit. 2. πŸ” **Open the Actor.** Search for "Federal Court Locator" in the Apify Store. 3. βš™οΈ **Pick filters.** Jurisdiction, in-use flag, optional name filter. 4. ▢️ **Click Start.** A 100-court run typically completes in 10 to 20 seconds. 5. πŸ“₯ **Download.** Export as CSV, Excel, JSON, or XML. > ⏱️ Total time from sign-up to first dataset: under five minutes. *** ### πŸ’Ό Business use cases
#### πŸ’Ό Legal tech - Build a federal court picker for case-management apps - Power court-aware document templates - Drive jurisdiction-routing logic in legal workflows - Pre-populate filing systems with court metadata #### πŸ“‘ Docket aggregation - Identify which courts publish RSS feeds - Build dashboards of new filings across districts - Map RSS entry types per court - Track new courts coming online
#### πŸ“° Journalism - Map cases by jurisdiction for series reporting - Reference courts with citation strings - Verify a court's existence before citing - Build interactive court maps #### πŸ“š Research - Dataset for empirical legal studies - Longitudinal study of court activations - Historical mapping using start and end dates - Cross-reference with FJC research data
*** ### 🌟 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 Automating Federal Court Locator Scraper Run this Actor on a schedule, from your codebase, or inside another tool: - **Node.js** SDK: see [Apify JavaScript client](https://docs.apify.com/api/client/js/) for programmatic runs. - **Python** SDK: see [Apify Python client](https://docs.apify.com/api/client/python/) for the same flow in Python. - **HTTP API**: see [Apify API docs](https://docs.apify.com/api/v2) for raw REST integration. Schedule monthly refresh runs from the Apify Console to pick up new courts. Pipe results into Google Sheets, S3, BigQuery, or your own webhook with the built-in [integrations](https://docs.apify.com/platform/integrations). *** ### ❓ Frequently Asked Questions
πŸ›οΈ What jurisdictions are included? `F` (federal Supreme Court), `FD` (federal district), `FB` (federal bankruptcy), `FBP` (federal bankruptcy panel), `FS` (federal special), `FSP` (federal special panel). Pass `all` to get them all.
πŸ”’ What is the difference between courtId and pacerCourtId? `courtId` is Court Listener's slug like `dcd`. `pacerCourtId` is the integer ID PACER itself uses, e.g. `45` for D.D.C. The Actor returns both so you can cross-reference.
πŸ“‘ Why is pacerHasRssFeed important? Courts that publish RSS feeds let you watch new filings in real time. The Actor surfaces that flag and the entry types each feed exposes.
πŸ“… What are startDate and endDate? The dates the court entered or left service. Most active courts have a startDate but no endDate. Historical or merged courts may have both.
πŸ“‘ What does hasOpinionScraper mean? Court Listener flags whether they have an opinion scraper for that court. It's a useful proxy for "is full-text opinion data available."
🌳 What is the parentCourt field? For specialized courts, Court Listener nests them under a parent court. District courts have parent `usdistct`, bankruptcy courts have parent `usbankruptcyct`, and so on.
πŸ“¦ How many courts can I pull? Free plan caps at 10. Paid plans up to 1,000,000. The dataset itself has 3,358 entries total.
πŸ›‘οΈ Are there state courts too? Court Listener also tracks state courts. This Actor is scoped to federal jurisdictions; state-court coverage is a future enhancement.
πŸ’Ό Can I use this for commercial work? Yes. Court Listener data is published by Free Law Project under terms allowing commercial use with attribution.
πŸ’³ Do I need a paid Apify plan? The free plan returns up to 10 records per run. Paid plans return up to 1,000,000.
πŸ” How fresh is the data? Live. Each run hits Court Listener at run time. Court Listener refreshes its court directory continuously based on FJC plus manual curation.
βš–οΈ Is this legal? Yes. Court Listener publishes the data as a free public API specifically for programmatic access by legal-tech and research tools.
*** ### πŸ”Œ Integrate with any app - [**Make**](https://apify.com/integrations/make) - drop run results into 1,800+ apps. - [**Zapier**](https://apify.com/integrations/zapier) - trigger automations off completed runs. - [**Slack**](https://apify.com/integrations/slack) - post run summaries to a channel. - [**Google Sheets**](https://apify.com/integrations/google-sheets) - sync each run into a spreadsheet. - [**Webhooks**](https://docs.apify.com/platform/integrations/webhooks) - notify your own services on run finish. - [**Airbyte**](https://apify.com/integrations/airbyte) - load runs into Snowflake, BigQuery, or Postgres. *** ### πŸ”— Recommended Actors - [**βš–οΈ California State Bar Scraper**](https://apify.com/parseforge/california-state-bar-scraper) - look up California attorneys for a federal case. - [**πŸ” Skip Trace People Search**](https://apify.com/parseforge/skip-trace-scraper) - locate parties at past addresses for service. - [**πŸ…±οΈ Bing Search Scraper**](https://apify.com/parseforge/bing-search-scraper) - search the open web for case-related news. - [**πŸ¦† DuckDuckGo Search Scraper**](https://apify.com/parseforge/duckduckgo-search-scraper) - alternative SERP signal alongside court data. - [**πŸ•°οΈ Wayback Machine CDX Scraper**](https://apify.com/parseforge/wayback-cdx-scraper) - audit historical court website versions. > πŸ’‘ **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for more pre-built scrapers and data tools. *** **πŸ†˜ Need Help?** [**Open our contact form**](https://tally.so/r/BzdKgA) and we'll route the question to the right person. *** > PACER, FJC, and Court Listener are property of their respective owners. Court Listener is operated by Free Law Project, a 501(c)(3) non-profit. This Actor is not affiliated with or endorsed by PACER, FJC, or Free Law Project. It uses only the public Court Listener REST API. # Actor input Schema ## `maxItems` (type: `integer`): Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000. ## `jurisdiction` (type: `string`): Filter by court type. F=Federal/SCOTUS, FD=Federal District, FB=Federal Bankruptcy, F=Federal Appellate, FBP=Federal Bankruptcy Panel, FS=Federal Special. ## `inUseOnly` (type: `boolean`): When enabled, only returns courts marked as currently in use. ## `courtName` (type: `string`): Case-insensitive substring match on full court name. ## Actor input object example ```json { "maxItems": 10, "jurisdiction": "FD", "inUseOnly": true } ``` # 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 = { "maxItems": 10, "jurisdiction": "FD" }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/pacer-court-locator-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 = { "maxItems": 10, "jurisdiction": "FD", } # Run the Actor and wait for it to finish run = client.actor("parseforge/pacer-court-locator-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 '{ "maxItems": 10, "jurisdiction": "FD" }' | apify call parseforge/pacer-court-locator-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/pacer-court-locator-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Federal Court Locator Scraper", "description": "Pull every US federal court (district, bankruptcy, appellate, special) with PACER court ID, FJC ID, RSS feed, court URL, jurisdiction code, citation string, and active status. Filter by jurisdiction, state, or court name. Export to JSON, CSV, or Excel for legal directories and court tracking.", "version": "1.0", "x-build-id": "CewMebCcKJa2KwWQw" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~pacer-court-locator-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-pacer-court-locator-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~pacer-court-locator-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-pacer-court-locator-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~pacer-court-locator-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-pacer-court-locator-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "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." }, "jurisdiction": { "title": "Jurisdiction", "enum": [ "all", "F", "FD", "FB", "FBP", "FS", "FSP" ], "type": "string", "description": "Filter by court type. F=Federal/SCOTUS, FD=Federal District, FB=Federal Bankruptcy, F=Federal Appellate, FBP=Federal Bankruptcy Panel, FS=Federal Special.", "default": "all" }, "inUseOnly": { "title": "Active courts only", "type": "boolean", "description": "When enabled, only returns courts marked as currently in use.", "default": true }, "courtName": { "title": "Court name filter (optional)", "type": "string", "description": "Case-insensitive substring match on full court name." } } }, "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 } } } } } } } } } } ```