# EMA Medicines Scraper - European Drug Authorisation Register (`jungle_synthesizer/ema-medicines-authorisation-scraper`) Actor Extract EU drug authorisation data from the European Medicines Agency (EMA) register. Human and veterinary medicines: active substance, ATC code, MAH, authorisation status, orphan/biosimilar/generic flags, and product URLs. Filter by category, status, therapeutic area, or ATC code. - **URL**: https://apify.com/jungle\_synthesizer/ema-medicines-authorisation-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Business, Other, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## EMA Medicines Scraper — European Drug Authorisation Register Extract the complete European Medicines Agency (EMA) centralised medicines authorisation register. Covers all human and veterinary medicines that have received, or applied for, a centralised EU marketing authorisation. **Data source:** EMA nightly XLSX bulk export at `ema.europa.eu`. Updated every night by the EMA. --- ### What data does it extract? Each record corresponds to one medicine and includes: | Field | Description | |-------|-------------| | `medicine_name` | Brand name | | `category` | Human or Veterinary | | `ema_product_number` | EMA product number (e.g. EMEA/H/C/004781) | | `authorisation_status` | Authorised, Withdrawn, Refused, or Suspended | | `inn` | International Non-proprietary Name / common name | | `active_substance` | Active substance(s) | | `therapeutic_area` | Therapeutic area (MeSH terms) | | `atc_code` | ATC code (human) or ATCvet code (veterinary) | | `pharmacotherapeutic_group` | Pharmacotherapeutic group | | `marketing_authorisation_holder` | MAH company name | | `first_authorised_date` | First EU marketing authorisation date (DD/MM/YYYY) | | `orphan_designation` | Orphan medicine designation flag | | `biosimilar` | Biosimilar flag | | `generic_or_hybrid` | Generic or hybrid application flag | | `conditional_marketing_authorisation` | Conditional approval flag | | `additional_monitoring` | Additional monitoring (black triangle) flag | | `accelerated_assessment` | Accelerated assessment flag | | `exceptional_circumstances` | Exceptional circumstances flag | | `product_url` | EMA product page URL | --- ### Input options | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `medicineCategory` | String | `human` | Filter: `human`, `veterinary`, or leave blank for all | | `authorisationStatus` | String | `Authorised` | Filter: `Authorised`, `Withdrawn`, `Refused`, `Suspended`, or blank for all | | `therapeuticArea` | String | *(blank)* | Filter by therapeutic area substring, case-insensitive (e.g. `Diabetes`) | | `atcCode` | String | *(blank)* | Filter by ATC code prefix (e.g. `L01` for antineoplastics) | | `authorisationDateFrom` | String | *(blank)* | Include only medicines authorised on or after this date (`YYYY-MM-DD` or `DD/MM/YYYY`) | | `authorisationDateTo` | String | *(blank)* | Include only medicines authorised on or before this date (`YYYY-MM-DD` or `DD/MM/YYYY`) | | `maxItems` | Integer | `15` | Maximum number of records to return (0 = all) | --- ### How it works The actor downloads EMA's nightly XLSX bulk export (approximately 885 KB, ~2,700 records) using a single HTTP request. No browser automation, no pagination, no proxy required. The XLSX is parsed in-memory using Node.js built-in modules, then filtered and saved to the Apify dataset. **Performance:** Typically completes in under 10 seconds. **Memory:** 256 MB is sufficient. The actor is configured for 512 MB to be safe. --- ### Example run Input: ```json { "medicineCategory": "human", "authorisationStatus": "Authorised", "atcCode": "L01", "maxItems": 5 } ```` Sample output record: ```json { "medicine_name": "Keytruda", "category": "Human", "ema_product_number": "EMEA/H/C/003820", "authorisation_status": "Authorised", "inn": "pembrolizumab", "active_substance": "pembrolizumab", "therapeutic_area": "Melanoma; Carcinoma, Non-Small-Cell Lung; ...", "atc_code": "L01FF02", "pharmacotherapeutic_group": "Antineoplastic agents, monoclonal antibodies", "marketing_authorisation_holder": "Merck Sharp & Dohme B.V.", "first_authorised_date": "17/07/2015", "orphan_designation": false, "biosimilar": false, "generic_or_hybrid": false, "conditional_marketing_authorisation": false, "additional_monitoring": true, "accelerated_assessment": false, "exceptional_circumstances": false, "product_url": "https://www.ema.europa.eu/en/medicines/human/EPAR/keytruda" } ``` *** ### Use cases - **Pharma intelligence:** Monitor which medicines have EU authorisation and track MAH portfolios - **Biotech business development:** Identify orphan, biosimilar, or conditionally approved medicines - **Regulatory consulting:** Track EU status of medicines by active substance or therapeutic area - **Academic research:** Build datasets of authorised medicines by ATC code or indication - **Generics manufacturers:** Identify authorised generic/hybrid medicines *** ### Notes - Data is updated nightly by the EMA. Each actor run downloads the latest version. - The dataset covers approximately 2,700 medicines in the centralised authorisation procedure. Nationally authorised medicines are not included. - Withdrawn medicines remain in the dataset with status `Withdrawn`. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `medicineCategory` (type: `string`): Filter to human or veterinary medicines. Leave blank for all. ## `authorisationStatus` (type: `string`): Filter by authorisation status. Leave blank for all. ## `therapeuticArea` (type: `string`): Filter by therapeutic area substring (e.g. 'Diabetes', 'Oncology'). Case-insensitive. Leave blank for all. ## `atcCode` (type: `string`): Filter by ATC code prefix (e.g. 'L01' for antineoplastics). Leave blank for all. ## `authorisationDateFrom` (type: `string`): Include only medicines authorised on or after this date (YYYY-MM-DD or DD/MM/YYYY). ## `authorisationDateTo` (type: `string`): Include only medicines authorised on or before this date (YYYY-MM-DD or DD/MM/YYYY). ## `maxItems` (type: `integer`): Maximum number of medicines to return. 0 = unlimited. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "medicineCategory": "human", "authorisationStatus": "Authorised", "maxItems": 15 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "medicineCategory": "human", "authorisationStatus": "Authorised", "therapeuticArea": "", "atcCode": "", "authorisationDateFrom": "", "authorisationDateTo": "", "maxItems": 15 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/ema-medicines-authorisation-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "medicineCategory": "human", "authorisationStatus": "Authorised", "therapeuticArea": "", "atcCode": "", "authorisationDateFrom": "", "authorisationDateTo": "", "maxItems": 15, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/ema-medicines-authorisation-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "medicineCategory": "human", "authorisationStatus": "Authorised", "therapeuticArea": "", "atcCode": "", "authorisationDateFrom": "", "authorisationDateTo": "", "maxItems": 15 }' | apify call jungle_synthesizer/ema-medicines-authorisation-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/ema-medicines-authorisation-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "EMA Medicines Scraper - European Drug Authorisation Register", "description": "Extract EU drug authorisation data from the European Medicines Agency (EMA) register. Human and veterinary medicines: active substance, ATC code, MAH, authorisation status, orphan/biosimilar/generic flags, and product URLs. Filter by category, status, therapeutic area, or ATC code.", "version": "0.1", "x-build-id": "GUUlcSq2FWdivD98t" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~ema-medicines-authorisation-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-ema-medicines-authorisation-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/jungle_synthesizer~ema-medicines-authorisation-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-ema-medicines-authorisation-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/jungle_synthesizer~ema-medicines-authorisation-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-ema-medicines-authorisation-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": [ "sp_intended_usage", "sp_improvement_suggestions" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "medicineCategory": { "title": "Category", "enum": [ "", "human", "veterinary" ], "type": "string", "description": "Filter to human or veterinary medicines. Leave blank for all." }, "authorisationStatus": { "title": "Authorisation Status", "enum": [ "", "Authorised", "Withdrawn", "Refused", "Suspended" ], "type": "string", "description": "Filter by authorisation status. Leave blank for all." }, "therapeuticArea": { "title": "Therapeutic Area", "type": "string", "description": "Filter by therapeutic area substring (e.g. 'Diabetes', 'Oncology'). Case-insensitive. Leave blank for all." }, "atcCode": { "title": "ATC Code Prefix", "type": "string", "description": "Filter by ATC code prefix (e.g. 'L01' for antineoplastics). Leave blank for all." }, "authorisationDateFrom": { "title": "First Authorisation Date From", "type": "string", "description": "Include only medicines authorised on or after this date (YYYY-MM-DD or DD/MM/YYYY)." }, "authorisationDateTo": { "title": "First Authorisation Date To", "type": "string", "description": "Include only medicines authorised on or before this date (YYYY-MM-DD or DD/MM/YYYY)." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of medicines to return. 0 = unlimited.", "default": 15 } } }, "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 } } } } } } } } } } ```