# FAA Airworthiness Directive (AD) Scraper (`scrapewizard/faa-ad-scraper`) Actor Track FAA Airworthiness Directives in structured JSON/CSV using Federal Register data. Filter by AD number, aircraft make/model, text query, and effective date range. Includes docket IDs, status, action text, references, and source/PDF links. - **URL**: https://apify.com/scrapewizard/faa-ad-scraper.md - **Developed by:** [ScrapeWizard](https://apify.com/scrapewizard) (community) - **Categories:** Developer tools, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.20 / 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 ## FAA Airworthiness Directive (AD) Scraper Scrape FAA Airworthiness Directive publications with structured output for compliance monitoring, fleet risk workflows, and aerospace analytics. This actor uses the Federal Register public API (FAA agency documents) and enriches each result with per-document detail when enabled. ### What it does - Searches FAA AD publications - Supports filters for: - free-text query - AD number - aircraft make/model - effective date range - Paginates until `maxResults` - Optionally fetches detail records for richer metadata - Outputs normalized records with links and timestamps ### Input example ```json { "query": "airbus helicopters", "aircraftMake": "Airbus", "aircraftModel": "SA330J", "adNumber": "", "effectiveDateFrom": "2026-01-01", "effectiveDateTo": "2026-12-31", "maxResults": 100, "fetchDetail": true, "includeSuperseded": true } ```` ### Output fields - `adNumber` - `title` - `status` - `publishedDate` - `effectiveDate` - `docketNumber` - `rgl` - `aircraftMake` - `aircraftModel` - `engineOrComponent` - `subject` - `summary` - `complianceRequired` - `actionText` - `references` - `documentUrl` - `sourceUrl` - `lastSeenAt` ### Revenue packaging notes - Primary PPE event should be `result-scraped` - Base run fee can be charged with `apify-actor-start` - Higher-value users benefit from detail mode (`fetchDetail=true`) and stable IDs/timestamps for recurring monitoring ### Known limitations - FAA DRS is not currently exposed as a stable public API; this actor uses Federal Register FAA AD publications as the structured source. - Aircraft make/model values are derived from title patterns and optional user filters. - `engineOrComponent` may be blank when not explicitly published in structured detail. ### Local run ```bash python3.11 -m venv .venv source .venv/bin/activate pip install -r requirements.txt PATH="$(pwd)/.venv/bin:$PATH" npx apify-cli run --input '{"query":"boeing","maxResults":20,"fetchDetail":true}' ``` # Actor input Schema ## `query` (type: `string`): General free-text filter for FAA AD records (e.g., Airbus helicopters). ## `aircraftMake` (type: `string`): Optional make filter (e.g., Boeing, Airbus, Lycoming). ## `aircraftModel` (type: `string`): Optional model filter, matched against title/model text. ## `adNumber` (type: `string`): Specific AD identifier (e.g., 2026-08-01). ## `effectiveDateFrom` (type: `string`): Lower bound for effective date in YYYY-MM-DD format. ## `effectiveDateTo` (type: `string`): Upper bound for effective date in YYYY-MM-DD format. ## `maxResults` (type: `integer`): Maximum number of records to return (1-2000). ## `fetchDetail` (type: `boolean`): When true, fetches per-document API detail for richer fields. ## `includeSuperseded` (type: `boolean`): When false, excludes records that supersede prior ADs. ## Actor input object example ```json { "maxResults": 100, "fetchDetail": true, "includeSuperseded": true } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("scrapewizard/faa-ad-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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("scrapewizard/faa-ad-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 scrapewizard/faa-ad-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapewizard/faa-ad-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "FAA Airworthiness Directive (AD) Scraper", "description": "Track FAA Airworthiness Directives in structured JSON/CSV using Federal Register data. Filter by AD number, aircraft make/model, text query, and effective date range. Includes docket IDs, status, action text, references, and source/PDF links.", "version": "0.0", "x-build-id": "rSgdkwMYWJawBAnXb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapewizard~faa-ad-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapewizard-faa-ad-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapewizard~faa-ad-scraper/runs": { "post": { "operationId": "runs-sync-scrapewizard-faa-ad-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapewizard~faa-ad-scraper/run-sync": { "post": { "operationId": "run-sync-scrapewizard-faa-ad-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "query": { "title": "Query", "type": "string", "description": "General free-text filter for FAA AD records (e.g., Airbus helicopters)." }, "aircraftMake": { "title": "Aircraft make", "type": "string", "description": "Optional make filter (e.g., Boeing, Airbus, Lycoming)." }, "aircraftModel": { "title": "Aircraft model", "type": "string", "description": "Optional model filter, matched against title/model text." }, "adNumber": { "title": "AD number", "type": "string", "description": "Specific AD identifier (e.g., 2026-08-01)." }, "effectiveDateFrom": { "title": "Effective date from", "type": "string", "description": "Lower bound for effective date in YYYY-MM-DD format." }, "effectiveDateTo": { "title": "Effective date to", "type": "string", "description": "Upper bound for effective date in YYYY-MM-DD format." }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Maximum number of records to return (1-2000).", "default": 100 }, "fetchDetail": { "title": "Fetch detail records", "type": "boolean", "description": "When true, fetches per-document API detail for richer fields.", "default": true }, "includeSuperseded": { "title": "Include superseding records", "type": "boolean", "description": "When false, excludes records that supersede prior ADs.", "default": true } } }, "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 } } } } } } } } } } ```