FDA MAUDE Adverse Event Reports Scraper
Pricing
Pay per event
FDA MAUDE Adverse Event Reports Scraper
Extract FDA MAUDE medical device adverse event reports by date, manufacturer, device, product code, event type, or MDR identifiers.
FDA MAUDE Adverse Event Reports Scraper
Pricing
Pay per event
Extract FDA MAUDE medical device adverse event reports by date, manufacturer, device, product code, event type, or MDR identifiers.
You can access the FDA MAUDE Adverse Event Reports Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youโll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.1", "x-build-id": "MD6vwAs6U2XHO4QLN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automation-lab~fda-maude-adverse-event-reports-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automation-lab-fda-maude-adverse-event-reports-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/automation-lab~fda-maude-adverse-event-reports-scraper/runs": { "post": { "operationId": "runs-sync-automation-lab-fda-maude-adverse-event-reports-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/automation-lab~fda-maude-adverse-event-reports-scraper/run-sync": { "post": { "operationId": "run-sync-automation-lab-fda-maude-adverse-event-reports-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "startDate", "endDate", "maxItems" ], "properties": { "startDate": { "title": "Start date", "type": "string", "description": "Earliest FDA date_received to include. Use YYYY-MM-DD.", "default": "2024-01-01" }, "endDate": { "title": "End date", "type": "string", "description": "Latest FDA date_received to include. Use YYYY-MM-DD.", "default": "2024-01-31" }, "maxItems": { "title": "Maximum reports", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum MAUDE adverse event reports to save to the dataset.", "default": 20 }, "manufacturerName": { "title": "Manufacturer name", "type": "string", "description": "Exact manufacturer_name phrase to match, for example Medtronic, Olympus, or Abbott." }, "brandName": { "title": "Brand/device brand name", "type": "string", "description": "Exact device.brand_name phrase, such as EVIS EXERA or HEARTMATE." }, "deviceName": { "title": "openFDA device name", "type": "string", "description": "Exact device.openfda.device_name phrase, such as Colonoscope And Accessories." }, "productCode": { "title": "FDA product code", "type": "string", "description": "Device report product code, for example FDF." }, "eventType": { "title": "Event type", "enum": [ "Death", "Injury", "Malfunction", "Other" ], "type": "string", "description": "MAUDE event type filter." }, "reportNumber": { "title": "Report number", "type": "string", "description": "Exact report_number to retrieve a specific MDR report." }, "mdrReportKey": { "title": "MDR report key", "type": "string", "description": "Exact mdr_report_key to retrieve a known MAUDE record." }, "sortBy": { "title": "Sort order", "enum": [ "date_received_desc", "date_received_asc" ], "type": "string", "description": "Sort by FDA date_received. Leave unset for openFDA default relevance/order.", "default": "date_received_desc" }, "pageSize": { "title": "API page size", "minimum": 1, "maximum": 100, "type": "integer", "description": "openFDA page size per request. The API supports up to 100 records per page.", "default": 100 }, "includeRaw": { "title": "Include raw openFDA JSON", "type": "boolean", "description": "Attach the full source record to each dataset item for audits and litigation research. Increases dataset size.", "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 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for FDA MAUDE Adverse Event Reports Scraper from the options below:
If youโd like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: