# Federal Register Document Scraper (`scrapers_lat/federal-register-scraper`) Actor
Search and extract documents from the U.S. Federal Register by keyword, document type, agency and publication date. Get title, type, abstract, agencies, docket IDs, RIN, citation, effective and comment dates, PDF and HTML URLs.
- **URL**: https://apify.com/scrapers\_lat/federal-register-scraper.md
- **Developed by:** [Michael Flores](https://apify.com/scrapers_lat) (community)
- **Categories:** News, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $8.00 / 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
## Federal Register Document Scraper
> Extract rules, proposed rules, notices and presidential documents from the U.S. Federal Register, the daily journal of the federal government with over 90 years of public records
30 fields per record
United States coverage
JSON / CSV / Excel output formats
Updated 2026-06-22
### What you get
Each record is one Federal Register document with its identification, agency, publication and comment dates, citation and source URLs. Use it to monitor new federal rulemaking, track agency activity, build regulatory alerts or feed a compliance database.
- **title**: full document title
- **type**: document category (Rule, Proposed Rule, Notice, Presidential Document)
- **documentNumber**: unique Federal Register document number
- **presidentialDocumentType**: subtype for presidential documents (Proclamation, Executive Order, Determination, Memorandum)
- **citation**: Federal Register citation (for example 91 FR 36559)
- **publicationDate**: date the document was published
- **effectiveDate**: date the rule takes effect, when stated
- **commentsCloseOn**: deadline for public comments on proposed rules, when stated
- **abstract**: official summary of the document
- **agencies**: list of issuing federal agencies
- **docketIds**: agency docket identifiers
- **rin**: Regulation Identifier Number, when assigned
- **president**: president associated with the document, when applicable
- **pdfUrl**: link to the official PDF on govinfo.gov
- **htmlUrl**: link to the document page on the Federal Register
- **action\***: short statement of the regulatory action
- **dates\***: free-text dates section with effective and comment deadlines
- **significant\***: whether the document is flagged as significant
- **topics\***: subject index terms
- **cfrReferences\***: Code of Federal Regulations references touched by the document
- **startPage\***: first page in the printed Federal Register
- **endPage\***: last page in the printed Federal Register
- **pageLength\***: number of pages
- **signingDate\***: signing date for presidential documents
- **executiveOrderNumber\***: executive order number, when applicable
- **proclamationNumber\***: proclamation number, when applicable
- **bodyHtmlUrl\***: link to the full document body in HTML
- **rawTextUrl\***: link to the plain text version
- **fullTextXmlUrl\***: link to the full XML version
- **regulationsDotGovUrl\***: link to the comment page on Regulations.gov
- **observedAt**: when this document was last seen by the scraper
*\*These fields only appear when Fetch full document details is set to true.*
### Who is it for
| Use case | Who benefits |
|---|---|
| Track new rules and proposed rules by keyword | Compliance and legal teams |
| Monitor a specific agency's rulemaking | Government affairs and lobbyists |
| Collect comment deadlines for proposed rules | Regulatory affairs professionals |
| Build a searchable archive of presidential documents | Researchers and journalists |
| Feed regulatory data into an internal alerting system | Data and engineering teams |
### Frequently Asked Questions
**What does the Federal Register cover and how far back does it go?**
The Federal Register is the official daily publication of the U.S. federal government and includes final rules, proposed rules, notices and presidential documents from federal agencies. The underlying public data goes back to 1994 in full text and to 1936 in metadata, so you can search both recent and historical documents.
**How many documents can I collect in a single run?**
You can set the Max Items value as high as you need. The scraper paginates through every matching document one hundred at a time, so a broad search across a wide date range can return thousands of records in one run.
**Can I filter by document type, agency and date at the same time?**
Yes. You can combine a search term, one or more document types, one or more agencies and a publication date range. Leaving a filter empty simply removes that restriction, so you can be as broad or as narrow as you want.
**Why are some fields like effective date or proclamation number empty?**
Those fields only exist for certain document types. Effective date and comment deadlines appear on rules and proposed rules, while signing date, proclamation number and executive order number appear on presidential documents. Empty values reflect the source data and are never invented.
**What happens if a document has no details available?**
The scraper always returns the listing level fields for every document. When Fetch full document details is on, it makes one extra request per document to add the body, topics and page range. If a detail request fails, the listing fields are still returned so you never lose a record.
### Related scrapers
Need data from the same space? Here are other scrapers we build and maintain:
- [SEC EDGAR Company Filings Scraper](https://apify.com/scrapers_lat/sec-edgar-filings-scraper): Scrape SEC EDGAR company filings by ticker or CIK. Get form type, filing date, accession number...
- [USAspending Federal Award Scraper](https://apify.com/scrapers_lat/usaspending-awards-scraper): Scrape US federal prime awards from USAspending.gov. Get recipient, UEI, award amount, awarding...
- [openFDA Drug Events & Recalls Scraper](https://apify.com/scrapers_lat/openfda-drug-events-scraper): Scrape FDA drug adverse event reports (FAERS) and drug recall and enforcement actions from the...
- [OFAC Sanctions List Scraper](https://apify.com/scrapers_lat/ofac-sanctions-scraper): Download and parse the US Treasury OFAC SDN and Consolidated sanctions lists. Get each sanctioned...
- [Grants.gov Opportunity Scraper](https://apify.com/scrapers_lat/grants-gov-scraper): Extract U.S. federal grant opportunities from the official Grants.gov API. Scrape title, agency...
- [NPPES NPI Provider Scraper](https://apify.com/scrapers_lat/nppes-npi-scraper): Scrape US healthcare provider records from the official NPPES NPI Registry. Search by name...
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with the Federal Register or the U.S. government. It only accesses data that is publicly available through the official Federal Register API. Use it in accordance with the Federal Register's terms of service.
# Actor input Schema
## `maxItems` (type: `integer`):
Maximum number of documents to collect. Optional.
## `withDetails` (type: `boolean`):
When enabled, the scraper fetches each document detail endpoint to add the action, dates, topics, CFR references, page range, full-text URLs and presidential document fields. This makes one extra request per document.
## `term` (type: `string`):
Keyword or phrase to search for across document titles and full text. Leave empty to browse all documents matching the other filters.
## `documentTypes` (type: `array`):
Restrict results to these document categories. Leave empty for all types.
## `agencies` (type: `array`):
Restrict results to documents from these federal agencies. Leave empty for all agencies.
## `dateFrom` (type: `string`):
Only include documents published on or after this date. Format: YYYY-MM-DD.
## `dateTo` (type: `string`):
Only include documents published on or before this date. Format: YYYY-MM-DD.
## Actor input object example
```json
{
"maxItems": 10,
"withDetails": true,
"term": "artificial intelligence",
"documentTypes": [
"RULE",
"PRORULE"
]
}
````
# 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 = {
"maxItems": 10,
"term": "artificial intelligence"
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/federal-register-scraper").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 = {
"maxItems": 10,
"term": "artificial intelligence",
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/federal-register-scraper").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 '{
"maxItems": 10,
"term": "artificial intelligence"
}' |
apify call scrapers_lat/federal-register-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/federal-register-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Federal Register Document Scraper",
"description": "Search and extract documents from the U.S. Federal Register by keyword, document type, agency and publication date. Get title, type, abstract, agencies, docket IDs, RIN, citation, effective and comment dates, PDF and HTML URLs.",
"version": "0.1",
"x-build-id": "cczr5mBtaPmxTAunH"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~federal-register-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-federal-register-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~federal-register-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-federal-register-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~federal-register-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-federal-register-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": "Maximum number of documents to collect. Optional."
},
"withDetails": {
"title": "Fetch full document details",
"type": "boolean",
"description": "When enabled, the scraper fetches each document detail endpoint to add the action, dates, topics, CFR references, page range, full-text URLs and presidential document fields. This makes one extra request per document.",
"default": true
},
"term": {
"title": "Search term",
"type": "string",
"description": "Keyword or phrase to search for across document titles and full text. Leave empty to browse all documents matching the other filters."
},
"documentTypes": {
"title": "Document types",
"type": "array",
"description": "Restrict results to these document categories. Leave empty for all types.",
"items": {
"type": "string",
"enum": [
"RULE",
"PRORULE",
"NOTICE",
"PRESDOCU"
],
"enumTitles": [
"Final Rules",
"Proposed Rules",
"Notices",
"Presidential Documents"
]
},
"default": [
"RULE",
"PRORULE"
]
},
"agencies": {
"title": "Agencies",
"type": "array",
"description": "Restrict results to documents from these federal agencies. Leave empty for all agencies.",
"items": {
"type": "string",
"enum": [
"action",
"administration-office-executive-office-of-the-president",
"administrative-conference-of-the-united-states",
"administrative-office-of-united-states-courts",
"advisory-council-on-historic-preservation",
"advocacy-and-outreach-office",
"agency-for-healthcare-research-and-quality",
"agency-for-international-development",
"agency-for-toxic-substances-and-disease-registry",
"aging-administration",
"agricultural-marketing-service",
"agricultural-research-service",
"agriculture-department",
"air-force-department",
"air-quality-national-commission",
"air-transportation-stabilization-board",
"alaska-power-administration",
"alcohol-and-tobacco-tax-and-trade-bureau",
"alcohol-tobacco-firearms-and-explosives-bureau",
"american-battle-monuments-commission",
"amtrak-reform-council",
"animal-and-plant-health-inspection-service",
"antitrust-division",
"antitrust-modernization-commission",
"appalachian-regional-commission",
"appalachian-states-low-level-radioactive-waste-commission",
"appraisal-subcommittee-of-the-federal-financial-institutions-examination-council",
"architect-of-the-capitol",
"architectural-and-transportation-barriers-compliance-board",
"arctic-research-commission",
"armed-forces-retirement-home",
"arms-control-and-disarmament-agency",
"army-department",
"assassination-records-review-board",
"barry-m-goldwater-scholarship-and-excellence-in-education-foundation",
"benefits-review-board",
"bipartisan-commission-on-entitlement-and-tax-reform",
"board-of-directors-of-the-hope-for-homeowners-program",
"bonneville-power-administration",
"broadcasting-board-of-governors",
"bureau-of-the-fiscal-service",
"census-bureau",
"census-monitoring-board",
"centers-for-disease-control-and-prevention",
"centers-for-medicare-medicaid-services",
"central-intelligence-agency",
"chemical-safety-and-hazard-investigation-board",
"child-support-enforcement-office",
"children-and-families-administration",
"christopher-columbus-quincentenary-jubilee-commission",
"civil-rights-cold-case-records-review-board",
"civil-rights-commission",
"coast-guard",
"commerce-department",
"commercial-space-transportation-office",
"commission-of-fine-arts",
"commission-on-immigration-reform",
"commission-on-protecting-and-reducing-government-secrecy",
"commission-on-review-of-overseas-military-facility-structure-of-the-united-states",
"commission-on-structural-alternatives-for-the-federal-courts-of-appeals",
"commission-on-the-advancement-of-federal-law-enforcement",
"commission-on-the-bicentennial-of-the-united-states-constitution",
"commission-on-the-future-of-the-united-states-aerospace-industry",
"commission-on-the-social-security-notch-issue",
"committee-for-purchase-from-people-who-are-blind-or-severely-disabled",
"committee-for-the-implementation-of-textile-agreements",
"commodity-credit-corporation",
"commodity-futures-trading-commission",
"community-development-financial-institutions-fund",
"community-living-administration",
"competitiveness-policy-council",
"comptroller-of-the-currency",
"congressional-budget-office",
"consumer-financial-protection-bureau",
"consumer-product-safety-commission",
"cooperative-state-research-education-and-extension-service",
"coordinating-council-on-juvenile-justice-and-delinquency-prevention",
"copyright-office-library-of-congress",
"copyright-royalty-board",
"copyright-royalty-judges",
"corporation-for-national-and-community-service",
"council-of-the-inspectors-general-on-integrity-and-efficiency",
"council-on-environmental-quality",
"counsel-to-the-president",
"court-services-and-offender-supervision-agency-for-the-district-of-columbia",
"crime-and-security-in-u-s-seaports-interagency-commission",
"customs-service",
"defense-acquisition-regulations-system",
"defense-base-closure-and-realignment-commission",
"defense-contract-audit-agency",
"defense-criminal-investigative-service",
"defense-department",
"defense-information-systems-agency",
"defense-intelligence-agency",
"defense-investigative-service",
"defense-logistics-agency",
"defense-mapping-agency",
"defense-nuclear-facilities-safety-board",
"defense-special-weapons-agency",
"delaware-river-basin-commission",
"delta-regional-authority",
"denali-commission",
"disability-employment-policy-office",
"drug-enforcement-administration",
"economic-analysis-bureau",
"economic-analysis-staff",
"economic-development-administration",
"economic-research-service",
"economics-and-statistics-administration",
"education-department",
"election-assistance-commission",
"electronic-commerce-advisory-commission",
"emergency-oil-and-gas-guaranteed-loan-board",
"emergency-steel-guarantee-loan-board",
"employee-benefits-security-administration",
"employees-compensation-appeals-board",
"employment-and-training-administration",
"employment-standards-administration",
"energy-and-environmental-policy-office",
"energy-department",
"energy-efficiency-and-renewable-energy-office",
"energy-information-administration",
"energy-policy-and-new-uses-office",
"energy-research-office",
"engineers-corps",
"engraving-and-printing-bureau",
"environment-office-energy-department",
"environmental-protection-agency",
"equal-employment-opportunity-commission",
"executive-council-on-integrity-and-efficiency",
"executive-office-for-immigration-review",
"executive-office-of-the-president",
"export-administration-bureau",
"export-import-bank",
"family-assistance-office",
"farm-credit-administration",
"farm-credit-system-insurance-corporation",
"farm-production-and-conservation-business-center",
"farm-service-agency",
"federal-accounting-standards-advisory-board",
"federal-acquisition-regulation-system",
"federal-aviation-administration",
"federal-bureau-of-investigation",
"federal-communications-commission",
"federal-contract-compliance-programs-office",
"federal-council-on-the-arts-and-the-humanities",
"federal-crop-insurance-corporation",
"federal-deposit-insurance-corporation",
"federal-election-commission",
"federal-emergency-management-agency",
"federal-energy-regulatory-commission",
"federal-financial-institutions-examination-council",
"federal-highway-administration",
"federal-housing-enterprise-oversight-office",
"federal-housing-finance-agency",
"federal-housing-finance-board",
"federal-labor-relations-authority",
"federal-law-enforcement-training-center",
"federal-maritime-commission",
"federal-mediation-and-conciliation-service",
"federal-mine-safety-and-health-review-commission",
"federal-motor-carrier-safety-administration",
"federal-pay-advisory-committee",
"federal-permitting-improvement-steering-council",
"federal-prison-industries",
"federal-procurement-policy-office",
"federal-railroad-administration",
"federal-register-office",
"federal-register-administrative-committee",
"federal-reserve-system",
"federal-retirement-thrift-investment-board",
"federal-service-impasses-panel",
"federal-trade-commission",
"federal-transit-administration",
"financial-crimes-enforcement-network",
"financial-crisis-inquiry-commission",
"financial-research-office",
"financial-stability-oversight-council",
"first-responder-network-authority",
"fiscal-service",
"fish-and-wildlife-service",
"food-and-consumer-service",
"food-and-drug-administration",
"food-and-nutrition-administration",
"food-and-nutrition-service",
"food-safety-and-inspection-service",
"foreign-agricultural-service",
"foreign-assets-control-office",
"foreign-claims-settlement-commission",
"foreign-service-grievance-board",
"foreign-service-impasse-disputes-panel",
"foreign-service-labor-relations-board",
"foreign-trade-zones-board",
"forest-service",
"general-services-administration",
"geographic-names-board",
"geological-survey",
"government-accountability-office",
"government-ethics-office",
"government-national-mortgage-association",
"government-publishing-office",
"grain-inspection-packers-and-stockyards-administration",
"great-lakes-st-lawrence-seaway-development-corporation",
"gulf-coast-ecosystem-restoration-council",
"harry-s-truman-scholarship-foundation",
"health-and-human-services-department",
"health-care-finance-administration",
"health-resources-and-services-administration",
"hearings-and-appeals-office-energy-department",
"hearings-and-appeals-office-interior-department",
"homeland-security-department",
"housing-and-urban-development-department",
"immigration-and-naturalization-service",
"indian-affairs-bureau",
"indian-arts-and-crafts-board",
"indian-health-service",
"indian-trust-transition-office",
"industry-and-security-bureau",
"information-security-oversight-office",
"inspector-general-office-agriculture-department",
"inspector-general-office-health-and-human-services-department",
"inspector-general-office-treasury-department",
"institute-of-american-indian-and-alaska-native-culture-and-arts-development",
"institute-of-museum-and-library-services",
"intellectual-property-enforcement-coordinator-office",
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]
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},
"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
}
}
}
}
}
}
}
}
}
}
```