# Product Recall Finder: Unsafe Food, Drugs, Toys & More (`scrapemint/product-recall-finder`) Actor Find products pulled from shelves for safety problems: consumer products, food, drugs and medical devices in one place. Search by keyword and date, get the problem, risk, fix, company, units and where sold. Official US government data (CPSC and FDA). No API key needed. - **URL**: https://apify.com/scrapemint/product-recall-finder.md - **Developed by:** [Ken M](https://apify.com/scrapemint) (community) - **Categories:** Business, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Product Recall Finder: Unsafe Food, Drugs, Toys & More Find products pulled from shelves for safety problems, all in one place: consumer products, food, drugs and medical devices. Search by keyword and date, get one clean row per recall with the problem, the risk level, the fix, the company, how many units, and where it was sold. Built for **online sellers, retailers, compliance teams, insurers and journalists**. Selling a recalled product can mean fines and lawsuits. Checking four government databases by hand takes hours; this does it in one run. ### What you get for each recall - **What the product is** and its maker or importer. - **What the problem is** (the hazard or reason) and, for FDA recalls, a plain risk level: serious, moderate or low. - **What to do about it** (the fix: refund, repair, replacement). - **How big it is**: units affected and reported injuries. - **Where it was sold** and, for FDA recalls, how widely it was distributed. - **Product codes (UPCs)** where available, recall number, date and official link. ### Sources | Source | Covers | | --- | --- | | CPSC (SaferProducts) | Toys, electronics, appliances, furniture, tools, sports gear and other consumer products | | FDA food enforcement | Food and drinks | | FDA drug enforcement | Medicines | | FDA device enforcement | Medical devices | All official US government data, fetched live on every run. ### Example output ```json { "source": "CPSC consumer products", "recallDate": "2026-07-09", "title": "Flaunt Recalls MagSafe Battery Chargers Due to Fire Hazard", "products": ["Flaunt MagSafe Battery Chargers"], "company": "Flaunt", "problem": "The lithium-ion battery can overheat and ignite, posing a risk of serious injury or death from fire", "fix": "Refund", "unitsAffected": "About 1,400", "soldAt": "Flaunt.com", "upcs": [], "recallNumber": "26610", "url": "https://www.cpsc.gov/Recalls/2026/..." } ```` ### Pricing **$0.005 per recall found.** The **first 2 rows of every run are free**. A typical "everything from the last 90 days" run returns a few hundred recalls for a dollar or two; a keyword watch run ("battery", "stroller", "peanut") usually costs cents. ### How to run it via API ```bash curl -X POST "https://api.apify.com/v2/acts/scrapemint~product-recall-finder/run-sync-get-dataset-items?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{"keyword": "battery", "dateFrom": "2026-01-01"}' ``` Run it on a schedule with a keyword to get an ongoing safety watch for your product category. ### Frequently asked questions **Does it cover meat and poultry?** No. Those recalls (USDA FSIS) are not included; the other four databases are. **How fresh is the data?** It is fetched live from the government APIs on every run, so you see what they publish, usually same day. **Can I watch just my niche?** Yes, set a keyword and pick sources, then schedule the run daily or weekly. ### More tools from Scrapemint - [Car Info & Safety Check](https://apify.com/scrapemint/car-safety-check): car details and safety problems from the car ID number (VIN). - [Sanctions & Watchlist Screening](https://apify.com/scrapemint/sanctions-watchlist-scraper): screen names against OFAC and UK sanctions lists. - [Website Change Monitor](https://apify.com/scrapemint/website-change-monitor): alerts when any web page changes. # Actor input Schema ## `keyword` (type: `string`): Filter recalls by a word in the product name or description, e.g. battery, stroller, peanut, insulin. Leave empty for all recalls in the date range. ## `sources` (type: `array`): Which recall databases to search. Empty = all four. ## `dateFrom` (type: `string`): Earliest recall date, YYYY-MM-DD. Empty = last 90 days. ## `dateTo` (type: `string`): Latest recall date, YYYY-MM-DD. Empty = today. ## `maxRows` (type: `integer`): Cap on recalls returned, newest first. Controls total cost. First 2 rows per run are free. ## Actor input object example ```json { "sources": [ "consumer_products", "food", "drugs", "medical_devices" ], "maxRows": 200 } ``` # 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 = { "keyword": "", "sources": [ "consumer_products", "food", "drugs", "medical_devices" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapemint/product-recall-finder").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 = { "keyword": "", "sources": [ "consumer_products", "food", "drugs", "medical_devices", ], } # Run the Actor and wait for it to finish run = client.actor("scrapemint/product-recall-finder").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 '{ "keyword": "", "sources": [ "consumer_products", "food", "drugs", "medical_devices" ] }' | apify call scrapemint/product-recall-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapemint/product-recall-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Product Recall Finder: Unsafe Food, Drugs, Toys & More", "description": "Find products pulled from shelves for safety problems: consumer products, food, drugs and medical devices in one place. Search by keyword and date, get the problem, risk, fix, company, units and where sold. Official US government data (CPSC and FDA). No API key needed.", "version": "0.1", "x-build-id": "A515n1PgJnZvGnlKs" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapemint~product-recall-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapemint-product-recall-finder", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapemint~product-recall-finder/runs": { "post": { "operationId": "runs-sync-scrapemint-product-recall-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapemint~product-recall-finder/run-sync": { "post": { "operationId": "run-sync-scrapemint-product-recall-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keyword": { "title": "Keyword", "type": "string", "description": "Filter recalls by a word in the product name or description, e.g. battery, stroller, peanut, insulin. Leave empty for all recalls in the date range." }, "sources": { "title": "What to search", "type": "array", "description": "Which recall databases to search. Empty = all four.", "items": { "type": "string", "enum": [ "consumer_products", "food", "drugs", "medical_devices" ], "enumTitles": [ "Consumer products (CPSC)", "Food (FDA)", "Drugs (FDA)", "Medical devices (FDA)" ] }, "default": [ "consumer_products", "food", "drugs", "medical_devices" ] }, "dateFrom": { "title": "From date", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "type": "string", "description": "Earliest recall date, YYYY-MM-DD. Empty = last 90 days." }, "dateTo": { "title": "To date", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "type": "string", "description": "Latest recall date, YYYY-MM-DD. Empty = today." }, "maxRows": { "title": "Max rows per run", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Cap on recalls returned, newest first. Controls total cost. First 2 rows per run are free.", "default": 200 } } }, "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 } } } } } } } } } } ```