# FDA Food Recall & Enforcement Alerts (openFDA) (`thoob/fda-food-recall-feed`) Actor Clean, flat US food-recall and enforcement records from the official openFDA Food Enforcement API, filtered by product, firm, state, classification, and status, with a what-changed-since-last-run mode. Billed only per delivered record. - **URL**: https://apify.com/thoob/fda-food-recall-feed.md - **Developed by:** [Pono Data](https://apify.com/thoob) (community) - **Categories:** News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $2.00 / 1,000 recall records 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 ## FDA Food Recall & Enforcement Alerts (openFDA) Clean, flat US food-recall records from the official openFDA Food Enforcement API, the dataset the FDA publishes for developers. Filter by product, firm, state, classification (Class I/II/III), and status, and run it on a schedule in changes-only mode to get just the new and updated recalls each run. ### Input - **Free-text search**, **Recalling firm**, **State**, **Classifications** (I/II/III), **Status** (Ongoing/Completed/Terminated), **Report date on/after**. - **Mode**: `full` or `changes` (new/updated since this account's last run). - **openFDA API key**: optional, raises the rate limit; not required. - **Max delivered records**, **API page size**. ### Output One row per recall: `recallNumber`, `status`, `classification`, `productDescription`, `reasonForRecall`, `recallingFirm`, `city`, `state`, `country`, `distributionPattern`, `productQuantity`, `voluntaryMandated`, `reportDate`, `recallInitiationDate`, `terminationDate`, `changeType`, plus provenance (`sourceUrl`, `retrievedAt`, `confidence`, `dataSource`). ### How it works openFDA is public domain (CC0), no key required. Every value is copied from the record; dates are reformatted to ISO (digits unchanged) and absent fields are null, never invented. `sourceUrl` is an openFDA query that returns the exact record, so any row is verifiable. A page that fails to fetch is logged to the free `rejected` dataset; a run that matches nothing bills nothing. ### Billing Pay per delivered recall record. Empty result sets and fetch failures cost nothing. ### Sample output A real run of US food-recall records from the official openFDA API: | class | product | recalling firm | state | | --- | --- | --- | --- | | Class II | CytoDetox, Hydrolyzed Clinoptilol… | Pharmatech LLC | FL | | Class II | Koi Palace Mini Moon Cake: Single… | Magic Gourmet Trading… | CA | | Class I | Crema GuateLinda (Guatemalan Styl… | Oasis Brands, Inc | FL | | Class I | Yellow Onion. Product is labeled… | FreshPoint South Flor… | FL | Every row carries a `sourceUrl` to the openFDA record, for example `https://api.fda.gov/food/enforcement.json?search=recall_number:%22F-0276-2017%22`. ### See also More clean, pay-only-for-results data tools from Pono Data: - [Regulatory Change Monitor](https://apify.com/thoob/regulatory-change-monitor) - federal rulemaking from the Federal Register - [Clinical Trials Feed](https://apify.com/thoob/clinical-trials-feed) - studies and sponsors from ClinicalTrials.gov - [FCC Filings & Proceedings Lookup](https://apify.com/thoob/fcc-ecfs-filings) - public FCC filings and proceedings Full catalog: https://apify.com/thoob # Actor input Schema ## `searchTerm` (type: `string`): Optional term matched across product description and reason for recall (for example listeria, undeclared peanut, infant formula). ## `firm` (type: `string`): Optional. Keep only recalls by firms matching this name. ## `state` (type: `string`): Optional two-letter US state of the recalling firm (for example CA, NY, TX). ## `classifications` (type: `array`): Filter to these recall classes: I (most serious), II, or III. Leave empty for all. ## `statuses` (type: `array`): Filter to these statuses: Ongoing, Completed, Terminated. Leave empty for all. ## `sinceDate` (type: `string`): Optional. Keep only recalls with a report_date on or after this date. ## `mode` (type: `string`): full returns every matching recall. changes returns only recalls that are new, changed status, or have a newer report date since this account's last run. ## `apiKey` (type: `string`): Optional. An openFDA api_key raises the rate limit. Not required; the actor runs without one. ## `maxRecords` (type: `integer`): Cap on delivered, billed rows. 0 means no cap. The platform spend cap is honored regardless. ## `pageSize` (type: `integer`): Records per API page (1 to 1000). ## Actor input object example ```json { "classifications": [], "statuses": [], "mode": "full", "maxRecords": 1000, "pageSize": 100 } ```` # Actor output Schema ## `recalls` (type: `string`): One row per matching recall. # 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 = { "classifications": [], "statuses": [] }; // Run the Actor and wait for it to finish const run = await client.actor("thoob/fda-food-recall-feed").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 = { "classifications": [], "statuses": [], } # Run the Actor and wait for it to finish run = client.actor("thoob/fda-food-recall-feed").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 '{ "classifications": [], "statuses": [] }' | apify call thoob/fda-food-recall-feed --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=thoob/fda-food-recall-feed", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "FDA Food Recall & Enforcement Alerts (openFDA)", "description": "Clean, flat US food-recall and enforcement records from the official openFDA Food Enforcement API, filtered by product, firm, state, classification, and status, with a what-changed-since-last-run mode. Billed only per delivered record.", "version": "0.0", "x-build-id": "VQxBhaclB5OlVleAq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/thoob~fda-food-recall-feed/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-thoob-fda-food-recall-feed", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/thoob~fda-food-recall-feed/runs": { "post": { "operationId": "runs-sync-thoob-fda-food-recall-feed", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/thoob~fda-food-recall-feed/run-sync": { "post": { "operationId": "run-sync-thoob-fda-food-recall-feed", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchTerm": { "title": "Free-text search", "type": "string", "description": "Optional term matched across product description and reason for recall (for example listeria, undeclared peanut, infant formula)." }, "firm": { "title": "Recalling firm", "type": "string", "description": "Optional. Keep only recalls by firms matching this name." }, "state": { "title": "State", "type": "string", "description": "Optional two-letter US state of the recalling firm (for example CA, NY, TX)." }, "classifications": { "title": "Classifications", "type": "array", "description": "Filter to these recall classes: I (most serious), II, or III. Leave empty for all.", "items": { "type": "string" } }, "statuses": { "title": "Status", "type": "array", "description": "Filter to these statuses: Ongoing, Completed, Terminated. Leave empty for all.", "items": { "type": "string" } }, "sinceDate": { "title": "Report date on/after (YYYY-MM-DD)", "type": "string", "description": "Optional. Keep only recalls with a report_date on or after this date." }, "mode": { "title": "Mode", "enum": [ "full", "changes" ], "type": "string", "description": "full returns every matching recall. changes returns only recalls that are new, changed status, or have a newer report date since this account's last run.", "default": "full" }, "apiKey": { "title": "openFDA API key (optional)", "type": "string", "description": "Optional. An openFDA api_key raises the rate limit. Not required; the actor runs without one." }, "maxRecords": { "title": "Max delivered records", "minimum": 0, "maximum": 100000, "type": "integer", "description": "Cap on delivered, billed rows. 0 means no cap. The platform spend cap is honored regardless.", "default": 1000 }, "pageSize": { "title": "API page size", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Records per API page (1 to 1000).", "default": 100 } } }, "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 } } } } } } } } } } ```