# FDA Medical Device Recall Scraper API - Enforcement Reports (`pink_comic/fda-device-recall-enforcement`) Actor Search FDA-classified medical-device recall enforcement reports by recall/event ID, firm, product, class, status, geography, dates, and voluntary/mandated status. Source-linked openFDA evidence with explicit outcomes and claim limits; distinct from MAUDE and 510(k). - **URL**: https://apify.com/pink\_comic/fda-device-recall-enforcement.md - **Developed by:** [Ava Torres](https://apify.com/pink_comic) (community) - **Categories:** Automation, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 fda medical device recall enforcement scraper api evidence items 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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 ## FDA Medical Device Recall Enforcement Scraper API Search FDA-classified medical-device recall enforcement reports from the official no-key openFDA `device/enforcement` endpoint. This focused paid actor is distinct from MAUDE adverse-event reports and 510(k) clearance records. ### Fast deterministic default Empty input searches `status:"Ongoing" AND classification:"Class I"`, sorts by newest FDA report date, and returns one item. Maximum default charge: **$0.0021** (`$0.0001` start + `$0.002` per dataset item). ```json {"status":"Ongoing","classification":"Class I","sort":"report_date:desc","maxResults":1} ```` ### Filters Search exact recall number or event ID; recalling firm; product-description keyword; status; Class I/II/III classification; firm state/country; initiation and report date ranges (`YYYYMMDD`); and FDA's voluntary/mandated value. Sort by report or initiation date ascending/descending. `maxResults` is a total cap of 1–1,000 and may be reduced before the source request by the Apify run charge budget. ```json { "firm": "Medtronic", "classification": "Class I", "reportDateFrom": "20250101", "sort": "report_date:desc", "maxResults": 25 } ``` ```json {"recallNumber":"Z-2603-2026","maxResults":1} ``` ### Output and explicit outcomes Each found row includes retrieval time, exact source query/endpoint, FDA recall and event identifiers, classification/status, firm/location, product and code/lot details, distribution, reason, quantity, notification method, voluntary/mandated value, and relevant dates. Runs emit `FOUND`, `NO_MATCH`, `INVALID_INPUT`, `SOURCE_UNAVAILABLE`, or `CHARGE_LIMIT` rather than silently returning an empty dataset. ### Evidence boundaries FDA enforcement reports are administrative recall evidence and openFDA states its results should be treated as unvalidated. Records can lag, change, be incomplete, or describe broad distributions and code ranges. A record does **not** prove current market status, that a particular physical product is affected, defect causation, patient harm, recall completion, safety, or the absence of other recalls. Product-name matches do not establish identity. Review current FDA recall communications, firm notices, and product identifiers before operational or clinical decisions. Source: `https://api.fda.gov/device/enforcement.json` only. No API key is required for this bounded workflow; openFDA access limits and terms apply. # Actor input Schema ## `recallNumber` (type: `string`): Exact FDA recall number, such as Z-2603-2026. ## `eventId` (type: `string`): Exact FDA recall event identifier. ## `firm` (type: `string`): Firm name phrase searched in FDA's recalling\_firm field. ## `productKeyword` (type: `string`): Phrase searched in FDA's product description field. ## `status` (type: `string`): FDA enforcement-report status. The default is Ongoing. ## `classification` (type: `string`): FDA recall classification. The default is Class I. ## `state` (type: `string`): Exact state value reported for the recalling firm, commonly a two-letter US abbreviation. ## `country` (type: `string`): Exact country value reported for the recalling firm. ## `initiationDateFrom` (type: `string`): Inclusive recall-initiation start date in YYYYMMDD form. ## `initiationDateTo` (type: `string`): Inclusive recall-initiation end date in YYYYMMDD form. ## `reportDateFrom` (type: `string`): Inclusive FDA report start date in YYYYMMDD form. ## `reportDateTo` (type: `string`): Inclusive FDA report end date in YYYYMMDD form. ## `voluntaryMandated` (type: `string`): Exact FDA voluntary\_mandated value, for example Voluntary: Firm initiated or FDA Mandated. ## `sort` (type: `string`): Bounded ordering by report or recall-initiation date. ## `maxResults` (type: `integer`): Total paid dataset-item cap. Default one-row run costs at most $0.0021 including the start fee. ## `maxTotalChargeUsd` (type: `number`): Optional buyer cap used to reduce maxResults before requesting FDA data. Zero uses the platform run budget. ## Actor input object example ```json { "status": "Ongoing", "classification": "Class I", "sort": "report_date:desc", "maxResults": 1, "maxTotalChargeUsd": 0 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "status": "Ongoing", "classification": "Class I", "sort": "report_date:desc", "maxResults": 1 }; // Run the Actor and wait for it to finish const run = await client.actor("pink_comic/fda-device-recall-enforcement").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "status": "Ongoing", "classification": "Class I", "sort": "report_date:desc", "maxResults": 1, } # Run the Actor and wait for it to finish run = client.actor("pink_comic/fda-device-recall-enforcement").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 '{ "status": "Ongoing", "classification": "Class I", "sort": "report_date:desc", "maxResults": 1 }' | apify call pink_comic/fda-device-recall-enforcement --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=pink_comic/fda-device-recall-enforcement", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "FDA Medical Device Recall Scraper API - Enforcement Reports", "description": "Search FDA-classified medical-device recall enforcement reports by recall/event ID, firm, product, class, status, geography, dates, and voluntary/mandated status. Source-linked openFDA evidence with explicit outcomes and claim limits; distinct from MAUDE and 510(k).", "version": "0.1", "x-build-id": "qvz2YVHeJoaRYPeqJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/pink_comic~fda-device-recall-enforcement/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-pink_comic-fda-device-recall-enforcement", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/pink_comic~fda-device-recall-enforcement/runs": { "post": { "operationId": "runs-sync-pink_comic-fda-device-recall-enforcement", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/pink_comic~fda-device-recall-enforcement/run-sync": { "post": { "operationId": "run-sync-pink_comic-fda-device-recall-enforcement", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "recallNumber": { "title": "Recall number", "type": "string", "description": "Exact FDA recall number, such as Z-2603-2026." }, "eventId": { "title": "Event ID", "type": "string", "description": "Exact FDA recall event identifier." }, "firm": { "title": "Recalling firm", "type": "string", "description": "Firm name phrase searched in FDA's recalling_firm field." }, "productKeyword": { "title": "Product keyword", "type": "string", "description": "Phrase searched in FDA's product description field." }, "status": { "title": "Recall status", "enum": [ "", "Ongoing", "Completed", "Terminated", "Pending" ], "type": "string", "description": "FDA enforcement-report status. The default is Ongoing.", "default": "Ongoing" }, "classification": { "title": "FDA classification", "enum": [ "", "Class I", "Class II", "Class III" ], "type": "string", "description": "FDA recall classification. The default is Class I.", "default": "Class I" }, "state": { "title": "Firm state", "type": "string", "description": "Exact state value reported for the recalling firm, commonly a two-letter US abbreviation." }, "country": { "title": "Firm country", "type": "string", "description": "Exact country value reported for the recalling firm." }, "initiationDateFrom": { "title": "Initiation date from", "type": "string", "description": "Inclusive recall-initiation start date in YYYYMMDD form." }, "initiationDateTo": { "title": "Initiation date to", "type": "string", "description": "Inclusive recall-initiation end date in YYYYMMDD form." }, "reportDateFrom": { "title": "Report date from", "type": "string", "description": "Inclusive FDA report start date in YYYYMMDD form." }, "reportDateTo": { "title": "Report date to", "type": "string", "description": "Inclusive FDA report end date in YYYYMMDD form." }, "voluntaryMandated": { "title": "Voluntary or mandated", "type": "string", "description": "Exact FDA voluntary_mandated value, for example Voluntary: Firm initiated or FDA Mandated." }, "sort": { "title": "Sort order", "enum": [ "report_date:desc", "report_date:asc", "recall_initiation_date:desc", "recall_initiation_date:asc" ], "type": "string", "description": "Bounded ordering by report or recall-initiation date.", "default": "report_date:desc" }, "maxResults": { "title": "Maximum results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Total paid dataset-item cap. Default one-row run costs at most $0.0021 including the start fee.", "default": 1 }, "maxTotalChargeUsd": { "title": "Optional charge cap (USD)", "minimum": 0, "type": "number", "description": "Optional buyer cap used to reduce maxResults before requesting FDA data. Zero uses the platform run budget.", "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 } } } } } } } } } } ```