# FDA Recalls Scraper — Drug, Device & Food (`ponderable_hydrometer/fda-recalls-scraper`) Actor Track FDA drug, device and food recalls via the official openFDA API. Filter by date, class or firm. Structured data: firm, reason, class, status. Free, no key. - **URL**: https://apify.com/ponderable\_hydrometer/fda-recalls-scraper.md - **Developed by:** [Ponderable Hydrometer](https://apify.com/ponderable_hydrometer) (community) - **Categories:** Automation, Developer tools, Lead generation - **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 ## FDA Recalls Scraper — Drug, Device & Food Track **FDA recalls and enforcement actions** across drugs, medical devices and food — via the official **openFDA** API. Filter by date, recall class or keyword and get clean, structured recall data: recalling firm, reason, classification, product, status and more. Official free API — no key, no proxies, no anti-bot. ### Who it's for - **Compliance & regulatory teams** — monitor recalls affecting your products or suppliers. - **Healthcare, pharma & food companies** — competitive and supply-chain risk monitoring. - **Journalists & researchers** — track recall trends and serious (Class I) events. - **Alerting / monitoring products** — feed a recall-watch service. ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `categories` | array | all | Any of `drug`, `device`, `food` | | `dateFrom` / `dateTo` | string | — | Recall report-date range (`YYYY-MM-DD`) | | `classification` | string | — | `Class I` (most serious), `Class II`, or `Class III` | | `search` | string | — | Advanced: raw openFDA query (overrides filters) | | `maxResultsPerCategory` | integer | `500` | Cap per category | ### Output One row per recall: ```json { "category": "drug", "recallNumber": "D-1234-2026", "status": "Ongoing", "classification": "Class I", "recallingFirm": "Haleon US Holdings LLC", "productType": "Drugs", "productDescription": "…", "reasonForRecall": "Chemical Contamination: …", "recallInitiationDate": "2026-06-01", "reportDate": "2026-06-17", "terminationDate": null, "city": "…", "state": "NJ", "country": "United States" } ```` ### Notes & limits - Official openFDA enforcement API — free, public, no key or anti-bot; paginated automatically. - Drug, device and food share one schema, so results are directly comparable across categories. - For field-level queries use `search` (openFDA syntax), e.g. `recalling_firm:"Pfizer"+AND+classification:"Class+I"`. - Public data; you are responsible for compliant use of the output. # Actor input Schema ## `categories` (type: `array`): Which recall categories to fetch: drug, device, food. Empty = all three. ## `dateFrom` (type: `string`): Optional earliest recall report date. ## `dateTo` (type: `string`): Optional latest recall report date. ## `classification` (type: `string`): Optional recall class filter: "Class I" (most serious), "Class II", or "Class III". ## `search` (type: `string`): Raw openFDA query (overrides the filters above). Example: recalling\_firm:"Pfizer"+AND+classification:"Class+I" ## `maxResultsPerCategory` (type: `integer`): Cap on recalls returned per category. ## Actor input object example ```json { "categories": [ "drug", "food" ], "dateFrom": "2026-01-01", "maxResultsPerCategory": 500 } ``` # 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 = { "categories": [ "drug", "food" ], "dateFrom": "2026-01-01" }; // Run the Actor and wait for it to finish const run = await client.actor("ponderable_hydrometer/fda-recalls-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 = { "categories": [ "drug", "food", ], "dateFrom": "2026-01-01", } # Run the Actor and wait for it to finish run = client.actor("ponderable_hydrometer/fda-recalls-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 '{ "categories": [ "drug", "food" ], "dateFrom": "2026-01-01" }' | apify call ponderable_hydrometer/fda-recalls-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ponderable_hydrometer/fda-recalls-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "FDA Recalls Scraper — Drug, Device & Food", "description": "Track FDA drug, device and food recalls via the official openFDA API. Filter by date, class or firm. Structured data: firm, reason, class, status. Free, no key.", "version": "0.1", "x-build-id": "RbcvhEHUBIhKIhTz8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ponderable_hydrometer~fda-recalls-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ponderable_hydrometer-fda-recalls-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ponderable_hydrometer~fda-recalls-scraper/runs": { "post": { "operationId": "runs-sync-ponderable_hydrometer-fda-recalls-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ponderable_hydrometer~fda-recalls-scraper/run-sync": { "post": { "operationId": "run-sync-ponderable_hydrometer-fda-recalls-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "categories": { "title": "Categories", "type": "array", "description": "Which recall categories to fetch: drug, device, food. Empty = all three.", "items": { "type": "string" } }, "dateFrom": { "title": "Report date from (YYYY-MM-DD)", "type": "string", "description": "Optional earliest recall report date." }, "dateTo": { "title": "Report date to (YYYY-MM-DD)", "type": "string", "description": "Optional latest recall report date." }, "classification": { "title": "Classification", "type": "string", "description": "Optional recall class filter: \"Class I\" (most serious), \"Class II\", or \"Class III\"." }, "search": { "title": "Advanced search (optional)", "type": "string", "description": "Raw openFDA query (overrides the filters above). Example: recalling_firm:\"Pfizer\"+AND+classification:\"Class+I\"" }, "maxResultsPerCategory": { "title": "Max results per category", "minimum": 1, "type": "integer", "description": "Cap on recalls returned per category.", "default": 500 } } }, "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 } } } } } } } } } } ```