# Consumer Product Recall & Safety Intelligence — CPSC (`nexgendata/consumer-product-recall-intelligence`) Actor Track US consumer product recalls from official CPSC data — product, hazard, injuries, manufacturers, and retailers. For retailers/marketplaces (delist recalled items), product-liability attorneys, and compliance teams. - **URL**: https://apify.com/nexgendata/consumer-product-recall-intelligence.md - **Developed by:** [NexGenData](https://apify.com/nexgendata) (community) - **Categories:** Business, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $100.00 / 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 ## Consumer Product Recall & Safety Intelligence — CPSC Track **U.S. consumer product recalls** — products, hazards, manufacturers, and retailers — from the official CPSC (Consumer Product Safety Commission) database. No key, no scraping. ### What you get For each recall: - **Recall number & title**, **recall date** - **Products** recalled and product types - **Hazard** and reported **injuries** - **Manufacturers** and **retailers** involved - Remedy and a link to the official recall notice ### Who uses it - **Retailers & marketplaces** — pull recalled products to delist and stay compliant - **Product-liability & class-action attorneys** — sourcing recall events - **Safety, compliance & QA teams** — monitor recalls in your category - **Insurers & supply-chain risk** — exposure tracking A clean, official alternative to manual recall monitoring. ### Inputs `keyword`, `lookback_days`, `max_results`, `include_raw` ### 📊 Sample Output ![Sample output](https://api.apify.com/v2/key-value-stores/8gLgXMBveEI1tTz1z/records/consumer-product-recall-intelligence-sample) Real recent CPSC recalls — portable vaporizers, a children's doll-stroller set, and pyrotechnics — with product, hazard, and retailers. ### 🔗 Related Actors Part of the NexGenData official-data intelligence suite: - **[Medical Device Intelligence](https://apify.com/nexgendata/medical-device-fda-intelligence)** — FDA device clearances & recalls - **[Federal Litigation Intelligence](https://apify.com/nexgendata/federal-litigation-intelligence)** — product-liability dockets ### Sources & legal Official public data from CPSC SaferProducts.gov. Public recall data only. Not legal advice. # Actor input Schema ## `keyword` (type: `string`): Keep only recalls matching this term (product, brand, retailer, or hazard — e.g. battery, stroller, Amazon). Empty = all. ## `lookback_days` (type: `integer`): How far back to pull recalls (by recall date). ## `max_results` (type: `integer`): Maximum recalls to return. ## `include_raw` (type: `boolean`): Attach the raw CPSC record. ## Actor input object example ```json { "lookback_days": 180, "max_results": 25, "include_raw": false } ```` # 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 = { "lookback_days": 180, "max_results": 25 }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/consumer-product-recall-intelligence").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 = { "lookback_days": 180, "max_results": 25, } # Run the Actor and wait for it to finish run = client.actor("nexgendata/consumer-product-recall-intelligence").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 '{ "lookback_days": 180, "max_results": 25 }' | apify call nexgendata/consumer-product-recall-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/consumer-product-recall-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Consumer Product Recall & Safety Intelligence — CPSC", "description": "Track US consumer product recalls from official CPSC data — product, hazard, injuries, manufacturers, and retailers. For retailers/marketplaces (delist recalled items), product-liability attorneys, and compliance teams.", "version": "0.0", "x-build-id": "l2prbjSm1olqkIPdw" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~consumer-product-recall-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-consumer-product-recall-intelligence", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~consumer-product-recall-intelligence/runs": { "post": { "operationId": "runs-sync-nexgendata-consumer-product-recall-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~consumer-product-recall-intelligence/run-sync": { "post": { "operationId": "run-sync-nexgendata-consumer-product-recall-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 filter", "type": "string", "description": "Keep only recalls matching this term (product, brand, retailer, or hazard — e.g. battery, stroller, Amazon). Empty = all." }, "lookback_days": { "title": "Lookback (days)", "type": "integer", "description": "How far back to pull recalls (by recall date).", "default": 180 }, "max_results": { "title": "Max results", "type": "integer", "description": "Maximum recalls to return.", "default": 100 }, "include_raw": { "title": "Include raw record", "type": "boolean", "description": "Attach the raw CPSC record.", "default": false } } }, "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 } } } } } } } } } } ```