# eCFR Scraper — US Code of Federal Regulations (`ponderable_hydrometer/ecfr-scraper`) Actor Scrape the US Code of Federal Regulations (eCFR) — full regulatory text structured by section with citations and hierarchy. Any title, part, point-in-time date. Free, no key. - **URL**: https://apify.com/ponderable\_hydrometer/ecfr-scraper.md - **Developed by:** [Ponderable Hydrometer](https://apify.com/ponderable_hydrometer) (community) - **Categories:** Developer tools, Automation, SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 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. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## eCFR Scraper — US Code of Federal Regulations **Turn the eCFR's official but awkward XML into clean, section-level JSON** — one row per CFR section with heading, citation, full text and full hierarchy (chapter / part / subpart). Filter by part, chapter or subpart; snapshot any version date. Free keyless official API. For legal/compliance datasets, regulatory monitoring, and RAG pipelines over federal regulations. ### What you get Per section: - **Location** — `title`, `titleName`, `date`, `chapter`, `part`, `subpart`, `sectionNumber` - **Heading & citation** — `heading`, `citation` (e.g. `14 CFR 1.1`) - **Text** — `text` (clean, paragraphs joined) and `paragraphs[]` (each paragraph separately) - **Hierarchy** — `ancestry[]` (the chapter→part→subpart→section path) ### Output sample ```json { "title": 14, "titleName": "Aeronautics and Space", "date": "2026-01-01", "chapter": "I", "part": "1", "subpart": null, "sectionNumber": "1.1", "heading": "General definitions.", "citation": "14 CFR 1.1", "text": "As used in Subchapters A through K of this chapter, unless the context requires otherwise:\n\nAdministrator means the Federal Aviation Administrator...", "paragraphs": [ "As used in Subchapters A through K of this chapter, unless the context requires otherwise:", "Administrator means the Federal Aviation Administrator..." ], "ancestry": ["TITLE 14", "CHAPTER I", "PART 1", "SECTION 1.1"] } ```` ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `title` | integer | `14` | CFR title number (1–50). **Required.** | | `date` | string | — | Snapshot date (`YYYY-MM-DD`); empty = title's latest version | | `part` | string | `1` | Limit to a single part; empty scrapes all parts (larger) | | `chapter` | string | — | Only include parts under this chapter, e.g. `I` | | `subpart` | string | — | Only include sections under this subpart, e.g. `A` | | `maxResults` | integer | `5000` | Cap on sections returned | ### Example input ```json { "title": 14, "part": "1" } ``` Whole chapter: `{"title":17,"chapter":"II","maxResults":2000}`. Dated snapshot: `{"title":40,"date":"2026-01-01","chapter":"I","maxResults":3000}`. ### Why this actor - **Section-level structure** — one clean record per section with heading, citation and full text, not a wall of XML. - **Full hierarchy + filters** — chapter/part/subpart context on every row, with chapter and subpart filters and deep whole-title scraping. - **Version-dated** — reproduce the CFR exactly as it stood on any date. ### Pricing Pay per result — **$4 per 1,000 results** (one result = one CFR section). No subscription; you pay only for what you get. ### Notes & limits - Source is the official eCFR versioner API — free, keyless. Scraping a whole title with no `part` filter is large and slower. - Public data; you are responsible for compliant use. Not affiliated with the US Government Publishing Office. ### Related actors - **Congress.gov Scraper** — US bills, laws and members. - **CourtListener Scraper** — US case law and court opinions. - **Australia Legislation Scraper** — Australian federal Acts and instruments. # Actor input Schema ## `title` (type: `integer`): CFR title to scrape (1–50), e.g. 14 for Aeronautics and Space. ## `date` (type: `string`): Snapshot date (YYYY-MM-DD). Leave empty to use the title's latest available version. ## `part` (type: `string`): Limit to a single part, e.g. "1". Leave empty to scrape all parts of the title (larger). ## `chapter` (type: `string`): Only include parts under this chapter identifier, e.g. "I". ## `subpart` (type: `string`): Only include sections under this subpart identifier, e.g. "A". ## `maxResults` (type: `integer`): Cap on number of sections returned. ## Actor input object example ```json { "title": 14, "part": "1", "maxResults": 5000 } ``` # 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 = { "title": 14, "part": "1" }; // Run the Actor and wait for it to finish const run = await client.actor("ponderable_hydrometer/ecfr-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 = { "title": 14, "part": "1", } # Run the Actor and wait for it to finish run = client.actor("ponderable_hydrometer/ecfr-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 '{ "title": 14, "part": "1" }' | apify call ponderable_hydrometer/ecfr-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ponderable_hydrometer/ecfr-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "eCFR Scraper — US Code of Federal Regulations", "description": "Scrape the US Code of Federal Regulations (eCFR) — full regulatory text structured by section with citations and hierarchy. Any title, part, point-in-time date. Free, no key.", "version": "0.1", "x-build-id": "H9HpbZAckeeU0cGTV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ponderable_hydrometer~ecfr-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ponderable_hydrometer-ecfr-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ponderable_hydrometer~ecfr-scraper/runs": { "post": { "operationId": "runs-sync-ponderable_hydrometer-ecfr-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ponderable_hydrometer~ecfr-scraper/run-sync": { "post": { "operationId": "run-sync-ponderable_hydrometer-ecfr-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "title" ], "properties": { "title": { "title": "CFR Title number", "minimum": 1, "maximum": 50, "type": "integer", "description": "CFR title to scrape (1–50), e.g. 14 for Aeronautics and Space." }, "date": { "title": "Version date", "type": "string", "description": "Snapshot date (YYYY-MM-DD). Leave empty to use the title's latest available version." }, "part": { "title": "Part (optional)", "type": "string", "description": "Limit to a single part, e.g. \"1\". Leave empty to scrape all parts of the title (larger)." }, "chapter": { "title": "Chapter filter (optional)", "type": "string", "description": "Only include parts under this chapter identifier, e.g. \"I\"." }, "subpart": { "title": "Subpart filter (optional)", "type": "string", "description": "Only include sections under this subpart identifier, e.g. \"A\"." }, "maxResults": { "title": "Max results", "minimum": 1, "type": "integer", "description": "Cap on number of sections returned.", "default": 5000 } } }, "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 } } } } } } } } } } ```