# IETF RFC Editor Index Scraper (`compute-edge/rfc-editor-scraper`) Actor Extract every published IETF RFC with metadata: title, authors, status, stream, obsoletes/updates relationships, DOI, and abstract. ~9,700 RFCs from RFC 1 to today, fully filterable. - **URL**: https://apify.com/compute-edge/rfc-editor-scraper.md - **Developed by:** [Compute Edge](https://apify.com/compute-edge) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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.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 ## IETF RFC Editor Index Scraper Extract structured metadata for **every published IETF Request for Comments (RFC)** — the foundational standards documents of the Internet, from RFC 1 (1969) through today's TLS, HTTP/3, OAuth, and DNS specifications. This Actor parses the official RFC Editor XML index and turns ~9,700 RFCs into clean, filterable JSON. The IETF RFC corpus is the canonical source-of-truth for how the Internet works. Engineers, standards consultants, protocol researchers, compliance auditors, patent prosecutors, and AI agents reasoning about networking all need it as structured data — not a 20MB XML file. This Actor solves that. ### Key Features - **Every RFC** — From RFC 1 to the latest publication, including obsoleted documents - **Status & stream filters** — Filter by Proposed Standard, Internet Standard, Best Current Practice, Informational, Experimental, Historic; or by stream (IETF / IAB / IRTF / Independent / Legacy) - **Year range** — Pull RFCs by publication year window - **Keyword filter** — Substring match across title, keywords, and abstract - **Current-only mode** — Skip RFCs that have been obsoleted by a newer document - **Standards relationships** — Captures `obsoletes`, `obsoleted-by`, `updates`, `updated-by`, and `also-known-as` (BCP/STD/FYI) cross-references - **No authentication** — Public IETF data source ### Output Data Fields | Field | Description | |-------|-------------| | `rfcNumber` | Integer RFC number | | `docId` | Document ID (e.g., RFC9293) | | `title` | RFC title | | `authors` | List of author names | | `month` / `year` | Publication month and year | | `formats` | Available file formats (ASCII, HTML, PDF, XML) | | `pageCount` | Page count | | `currentStatus` | Current status (Proposed Standard, Internet Standard, etc.) | | `publicationStatus` | Original publication status | | `stream` | Publishing stream (IETF, IAB, IRTF, Independent, Legacy) | | `doi` | Digital Object Identifier | | `keywords` | Author-supplied keywords | | `abstract` | Plain-text abstract | | `obsoletes` | Doc-IDs of RFCs this one obsoletes | | `obsoletedBy` | Doc-IDs of RFCs that obsolete this one | | `updates` | Doc-IDs this one updates | | `updatedBy` | Doc-IDs that update this one | | `alsoKnownAs` | BCP / STD / FYI document IDs | | `hasErrata` | Whether errata exist | | `rfcUrl` | Canonical rfc-editor.org URL | ### How to Scrape the RFC Index 1. Open the **RFC Editor Index Scraper** on Apify Store 2. (Optional) Filter by status, stream, year range, or keyword 3. (Optional) Enable "Current RFCs Only" to skip obsoleted documents 4. Click **Start** — every matching RFC is written to the default dataset ### Pricing This Actor uses pay-per-result pricing. A full ~9,700-RFC extract finishes in well under a minute since it parses a single XML file. ### Use Cases - **Standards tracking** — Subscribe to a filter (e.g., new TLS RFCs) for compliance updates - **Patent prior-art search** — Filter by year/keyword to find pre-existing protocol disclosures - **AI protocol assistants** — Build RAG pipelines that answer questions about IETF standards - **Vendor compliance audits** — Confirm products implement current (not obsoleted) RFCs - **Academic / education** — Bulk metadata for citation tooling and curriculum design ### Legal & Disclaimer The IETF RFC series is published by the RFC Editor and is freely available under the [IETF Trust Legal Provisions](https://trustee.ietf.org/license-info/). This Actor reads the public `rfc-index.xml` from rfc-editor.org and parses it locally. No authentication is bypassed. Data is provided "as is" without warranty. # Actor input Schema ## `statusFilter` (type: `string`): Filter by RFC status (e.g., 'PROPOSED STANDARD', 'INTERNET STANDARD', 'INFORMATIONAL', 'EXPERIMENTAL', 'HISTORIC', 'BEST CURRENT PRACTICE'). ## `streamFilter` (type: `string`): Filter by stream (e.g., 'IETF', 'IAB', 'IRTF', 'Independent', 'Legacy'). ## `yearFrom` (type: `string`): Earliest publication year (YYYY). ## `yearTo` (type: `string`): Latest publication year (YYYY). ## `keywordFilter` (type: `string`): Case-insensitive substring matched against title, keywords, and abstract. ## `currentOnly` (type: `boolean`): Skip RFCs that have been obsoleted by a newer RFC. ## `maxResults` (type: `integer`): Maximum records to return (0 = all ~9700 RFCs). ## Actor input object example ```json { "statusFilter": "", "streamFilter": "", "yearFrom": "", "yearTo": "", "keywordFilter": "", "currentOnly": false, "maxResults": 0 } ```` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("compute-edge/rfc-editor-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 = {} # Run the Actor and wait for it to finish run = client.actor("compute-edge/rfc-editor-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 '{}' | apify call compute-edge/rfc-editor-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=compute-edge/rfc-editor-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "IETF RFC Editor Index Scraper", "description": "Extract every published IETF RFC with metadata: title, authors, status, stream, obsoletes/updates relationships, DOI, and abstract. ~9,700 RFCs from RFC 1 to today, fully filterable.", "version": "0.1", "x-build-id": "cMddvh8AYc4LCNxDi" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/compute-edge~rfc-editor-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-compute-edge-rfc-editor-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/compute-edge~rfc-editor-scraper/runs": { "post": { "operationId": "runs-sync-compute-edge-rfc-editor-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/compute-edge~rfc-editor-scraper/run-sync": { "post": { "operationId": "run-sync-compute-edge-rfc-editor-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "statusFilter": { "title": "Status Filter", "type": "string", "description": "Filter by RFC status (e.g., 'PROPOSED STANDARD', 'INTERNET STANDARD', 'INFORMATIONAL', 'EXPERIMENTAL', 'HISTORIC', 'BEST CURRENT PRACTICE').", "default": "" }, "streamFilter": { "title": "Stream Filter", "type": "string", "description": "Filter by stream (e.g., 'IETF', 'IAB', 'IRTF', 'Independent', 'Legacy').", "default": "" }, "yearFrom": { "title": "Year From", "type": "string", "description": "Earliest publication year (YYYY).", "default": "" }, "yearTo": { "title": "Year To", "type": "string", "description": "Latest publication year (YYYY).", "default": "" }, "keywordFilter": { "title": "Keyword Filter", "type": "string", "description": "Case-insensitive substring matched against title, keywords, and abstract.", "default": "" }, "currentOnly": { "title": "Current RFCs Only", "type": "boolean", "description": "Skip RFCs that have been obsoleted by a newer RFC.", "default": false }, "maxResults": { "title": "Max Results", "minimum": 0, "maximum": 20000, "type": "integer", "description": "Maximum records to return (0 = all ~9700 RFCs).", "default": 0 } } }, "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 } } } } } } } } } } ```