# EU CTIS Clinical Trials Scraper — European Drug Trial Registry (`compute-edge/eu-ctis-clinical-trials-scraper`) Actor Extract authorised clinical trials from the EU Clinical Trials Information System (CTIS). Filter by condition and keyword. Get sponsor, phase, therapeutic area, product, enrollment, and endpoints as JSON or CSV. - **URL**: https://apify.com/compute-edge/eu-ctis-clinical-trials-scraper.md - **Developed by:** [Compute Edge](https://apify.com/compute-edge) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results 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 ## EU CTIS Clinical Trials Scraper — European Drug Trial Registry API Extract **authorised clinical trials** from the **EU Clinical Trials Information System (CTIS)** — the single official registry of clinical trials run under the EU Clinical Trials Regulation (536/2014) across all EU and EEA member states. CTIS replaced the legacy EudraCT register and is the authoritative, legally-mandated source of European drug-trial transparency data. This Actor turns the CTIS public portal into clean, structured **JSON, CSV, or Excel** you can drop straight into a competitive-intelligence pipeline, a pharma BD tracker, or a RAG knowledge base. ### What you get Every record is a clinical trial with the fields pharma, biotech, and CRO teams actually care about: | Field | Description | |-------|-------------| | `ctNumber` | Official CTIS trial number (e.g. `2025-523726-40-00`) | | `title` | Full scientific trial title | | `shortTitle` | Sponsor protocol code / short title | | `conditions` | Medical condition(s) under study | | `sponsor` | Trial sponsor (company or institution) | | `sponsorType` | Pharmaceutical company, hospital, academic, etc. | | `trialPhase` | Phase I / II / III / IV classification | | `product` | Investigational medicinal product(s) | | `therapeuticAreas` | MeSH-style therapeutic area classification | | `trialCountries` | Member states running the trial | | `ageGroup`, `gender` | Eligibility population | | `totalNumberEnrolled` | Planned subject enrollment | | `primaryEndPoint`, `endPoint` | Primary and full endpoint definitions | | `decisionDate` | Authorisation decision date | | `ctStatusCode` | CTIS lifecycle status code | ### Why this matters A single competitor pipeline signal — a rival starting a Phase III in your indication — is worth far more than the pennies this Actor costs. Use it to: - **Track competitor pipelines** by sponsor, product, or therapeutic area - **Source investigators and sites** for trial recruitment - **Monitor an indication** (e.g. every new multiple sclerosis trial) as it is authorised - **Feed BD/CI dashboards** and LLM research agents with fresh, structured trial data ### How to scrape EU CTIS clinical trials 1. Click **Try for free**. 2. Leave the input empty to pull the most recently authorised trials, or set a filter: - **Keyword** — free-text across title, sponsor, product, and condition (e.g. `cancer immunotherapy`). - **Medical Condition** — precise disease filter (e.g. `diabetes`, `breast cancer`). - **Max Results** — cap the run, or set `0` for everything that matches. 3. Click **Start** and download results as JSON, CSV, or Excel when the run finishes. #### Example input ```json { "medicalCondition": "breast cancer", "maxResults": 500 } ```` #### Example output ```json { "ctNumber": "2025-523726-40-00", "title": "A PHASE III STUDY EVALUATING SUBCUTANEOUS HOME ADMINISTRATION OF OCRELIZUMAB", "conditions": "Multiple Sclerosis", "sponsor": "F. Hoffmann-La Roche AG", "sponsorType": "Pharmaceutical company", "trialPhase": "Therapeutic confirmatory (Phase III)", "product": "Ocrevus, Ocrelizumab", "therapeuticAreas": "Immune System Diseases; Nervous System Diseases", "trialCountries": "Italy:2", "totalNumberEnrolled": "15", "decisionDate": "24/06/2026" } ``` ### Pricing This Actor uses **pay-per-result** pricing. You pay a small amount per trial record returned, plus standard Apify platform compute. A typical filtered run of a few hundred trials costs only a few cents — far cheaper than a CTIS analyst license or manual portal exports. ### FAQ **Where does the data come from?** The official CTIS public API at `euclinicaltrials.eu`. Only publicly published, transparency-disclosed trial data is returned. **How fresh is the data?** Live — every run queries CTIS directly, so newly authorised trials appear as soon as the EMA publishes them. **Can I get all trials?** Yes — set `maxResults` to `0` to paginate through every matching trial. **Does it need an API key or login?** No. The Actor uses the public CTIS endpoint; no credentials required. ### Other Actors If you work with regulatory and biomedical data, check out our other scrapers for FDA, drug, and research registries on the Apify Store. ### Legal This Actor collects only **publicly available** clinical trial transparency data published by the EMA under the EU Clinical Trials Regulation. It does not access personal data or bypass authentication. You are responsible for using the output in compliance with applicable laws and the CTIS terms of use. # Actor input Schema ## `keyword` (type: `string`): Free-text search across trial title, sponsor, product, and condition (matches all words). Examples: 'cancer immunotherapy', 'mRNA vaccine', 'Pfizer'. ## `medicalCondition` (type: `string`): Filter by the medical condition / disease under study (more precise than keyword). Examples: 'diabetes', 'multiple sclerosis', 'breast cancer'. ## `maxResults` (type: `integer`): Maximum number of clinical trial records to return. Set to 0 for unlimited (all matching trials). ## Actor input object example ```json { "keyword": "", "medicalCondition": "", "maxResults": 1000 } ``` # Actor output Schema ## `dataset` (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 = { "keyword": "", "medicalCondition": "", "maxResults": 1000 }; // Run the Actor and wait for it to finish const run = await client.actor("compute-edge/eu-ctis-clinical-trials-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 = { "keyword": "", "medicalCondition": "", "maxResults": 1000, } # Run the Actor and wait for it to finish run = client.actor("compute-edge/eu-ctis-clinical-trials-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 '{ "keyword": "", "medicalCondition": "", "maxResults": 1000 }' | apify call compute-edge/eu-ctis-clinical-trials-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=compute-edge/eu-ctis-clinical-trials-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "EU CTIS Clinical Trials Scraper — European Drug Trial Registry", "description": "Extract authorised clinical trials from the EU Clinical Trials Information System (CTIS). Filter by condition and keyword. Get sponsor, phase, therapeutic area, product, enrollment, and endpoints as JSON or CSV.", "version": "0.1", "x-build-id": "jbpniCwnkJX8za4v1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/compute-edge~eu-ctis-clinical-trials-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-compute-edge-eu-ctis-clinical-trials-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/compute-edge~eu-ctis-clinical-trials-scraper/runs": { "post": { "operationId": "runs-sync-compute-edge-eu-ctis-clinical-trials-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/compute-edge~eu-ctis-clinical-trials-scraper/run-sync": { "post": { "operationId": "run-sync-compute-edge-eu-ctis-clinical-trials-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "keyword": { "title": "Keyword", "type": "string", "description": "Free-text search across trial title, sponsor, product, and condition (matches all words). Examples: 'cancer immunotherapy', 'mRNA vaccine', 'Pfizer'.", "default": "" }, "medicalCondition": { "title": "Medical Condition", "type": "string", "description": "Filter by the medical condition / disease under study (more precise than keyword). Examples: 'diabetes', 'multiple sclerosis', 'breast cancer'.", "default": "" }, "maxResults": { "title": "Max Results", "minimum": 0, "maximum": 100000, "type": "integer", "description": "Maximum number of clinical trial records to return. Set to 0 for unlimited (all matching trials).", "default": 1000 } } }, "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 } } } } } } } } } } ```