# EU Clinical Trials EMA CTIS Scraper (`parseforge/euctr-ema-trials-scraper`) Actor Query the EMA Clinical Trials Information System by search query, status, and phase. Each trial includes eu\_ct\_number, title, sponsor, condition, phase, status, member states, start date, and end date. Useful for clinical pipeline tracking and regulatory monitoring across European trials. - **URL**: https://apify.com/parseforge/euctr-ema-trials-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** Education, Business, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $7.50 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true) ## ๐Ÿ’Š EU Clinical Trials EMA CTIS Scraper > ๐Ÿš€ **Export EU clinical trials from the EMA CTIS public register in seconds. Trial number, sponsor, condition, phase, status, member states, and dates straight into a structured dataset.** > ๐Ÿ•’ **Last updated:** 2026-06-05 . **๐Ÿ“Š 11 fields** per record . Source euclinicaltrials.eu . Structured tabular output The EU Clinical Trials EMA CTIS Scraper turns the public [euclinicaltrials.eu](https://euclinicaltrials.eu/ctis-public/search) data surface into a clean, structured dataset ready for analytics, BI, and downstream automation. It calls the public endpoints, normalizes the response, and flattens each record into one row. This actor is read-only and uses only publicly available data. No login is required. | ๐ŸŽฏ Target Audience | ๐Ÿ’ก Primary Use Cases | |---|---| | ๐Ÿ“Š Analysts | Build datasets for analytics and reports | | ๐Ÿข Operations teams | Pipe records into BI dashboards | | ๐ŸŽ“ Researchers | Mirror data into local analysis tools | | ๐Ÿค– ML engineers | Generate training sets without writing client code | | ๐Ÿ“ฐ Journalists | Verify facts quickly with structured output | | ๐Ÿ‘ฉโ€๐Ÿ’ป Developers | Skip the boilerplate of building a custom client | ### ๐Ÿ“‹ What the EU Clinical Trials EMA CTIS Scraper does - Calls the public euclinicaltrials.eu endpoints with the filters you supply. - Parses the response and flattens each record into a flat row. - Cleans verbose source keys into stable snake or camelCase names. - Surfaces upstream errors as a single-row error record instead of crashing. - Exports tabular output in every format the Apify dataset supports. > ๐Ÿ’ก **Why it matters:** euclinicaltrials.eu exposes valuable public data, but pulling it into a spreadsheet or warehouse usually means writing client code, managing pagination, and parsing nested responses. This actor wraps all of that. ### ๐ŸŽฌ Full Demo _๐Ÿšง Coming soon._ ### โš™๏ธ Input
FieldTypeRequiredDescription
maxItemsintegerNoFree users 10. Paid users up to 1,000,000. Prefill 10.
querystringNoFree-text search across trial title, sponsor, and condition. Leave empty for all.
statusenumNoFilter by trial status.
phaseenumNoFilter by trial phase.
**Example 1.** ```json { "maxItems": 25, "query": "", "status": "" } ```` **Example 2.** ```json { "maxItems": 100 } ``` > โš ๏ธ **Good to Know.** Free users are auto-limited to 10 records per run. Paid users can pull up to 1,000,000. ### ๐Ÿ“Š Output Each record is a flat object. The error field is always last. | Field | Type | Description | |---|---|---| | ๐Ÿ†” `eu_ct_number` | string | EU clinical trial number assigned by EMA. | | ๐Ÿ“ `title` | string | Trial title. | | ๐Ÿข `sponsor` | string | Primary trial sponsor. | | ๐Ÿฉบ `condition` | string | Medical condition under investigation. | | ๐Ÿงช `phase` | string | Clinical trial phase. | | ๐Ÿ“ `status` | string | Current trial status. | | ๐Ÿ‡ช๐Ÿ‡บ `member_states` | array | EU member states where the trial runs. | | ๐Ÿ“… `start_date` | string | Trial start date. | | ๐Ÿ `end_date` | string | Trial end date. | | ๐Ÿ•’ `scrapedAt` | string | Fetch timestamp. | | โŒ `error` | string | Populated if the request failed. | **Sample record.** ```json { "eu_ct_number": "2023-501234-12-00", "title": "Sample Trial Title", "sponsor": "Sample Sponsor BV", "condition": "Type 2 Diabetes", "phase": "Phase 3", "status": "Ongoing", "member_states": [ "Sample A", "Sample B" ], "start_date": "2024-01-15", "end_date": "2026-12-31", "scrapedAt": "2026-06-05T00:00:00.000Z", "error": null } ``` ### โœจ Why choose this Actor | ๐Ÿ†“ | Free tier ready, with public data only. | | ๐Ÿงน | Clean column names ready for BI. | | ๐Ÿ”ข | Auto casts numeric strings to real numbers. | | ๐Ÿ›Ÿ | Surfaces upstream errors as a clean error record instead of crashing. | | ๐Ÿ”Œ | Filters mirror the public source interface. | | ๐Ÿ’พ | Push to dataset for instant tabular export in every supported format. | ### ๐Ÿ“ˆ How it compares to alternatives | Approach | Setup time | Clean keys | Numeric casting | Error handling | |---|---|---|---|---| | Roll your own client | 30 min + | No | No | No | | Generic web scraper | 1 hr + | Partial | Partial | Partial | | **This Actor** | 5 sec, no install | Yes | Yes | Yes | ### ๐Ÿš€ How to use 1. Click **Try for free**. 2. Pick filters or leave defaults. 3. Click **Start**. Within seconds, your dataset is ready. 4. Download or pipe to your warehouse. ### ๐Ÿ’ผ Business use cases **๐Ÿ“Š Analytics.** Pull a structured snapshot into your warehouse and join it with internal data. **๐Ÿข Operations.** Schedule daily runs and route the dataset into BI dashboards. **๐Ÿ“ฐ Newsroom fact-checking.** Reporters can verify a fact in 30 seconds. **๐Ÿค– ML feature engineering.** Build a clean training set with no client code. ### ๐Ÿ”Œ Automating EU Clinical Trials EMA CTIS Scraper - **Make and Zapier.** Trigger this actor on a schedule and route results to Airtable, Sheets, or Slack. - **Cron schedule.** Native Apify scheduler. - **Webhooks.** Get a POST to your endpoint the moment a run finishes. - **Pipe to BigQuery, Snowflake, Postgres.** Native Apify integrations. ### ๐ŸŒŸ Beyond business use cases **๐ŸŽ“ Education.** Teach a data class with real, fresh datasets. **๐Ÿงช Personal research.** Track topics you care about over time. **๐Ÿค Non profit and open data.** Build public dashboards. **๐Ÿงฐ Tinkering and prototyping.** Spin up a feed in 5 seconds. ### ๐Ÿค– Ask an AI assistant about this scraper Pop this README into ChatGPT, Claude, or any AI assistant and ask it to map your specific workflow to the actor inputs. The schema, examples, and field list above contain everything an LLM needs to design a working pipeline. ### โ“ Frequently Asked Questions **โ“ Do I need an API key.** No. This actor uses public endpoints only. **โ“ Is there a rate limit.** The upstream source may rate limit aggressive use. The actor surfaces rate limit notes as a clean error record. **โ“ Which filters are supported.** Every filter the public source exposes is in the input schema. **โ“ Are values cast to numbers.** Yes, where the source returns numeric strings. **โ“ How do you handle upstream errors.** We push a single record with the error populated instead of throwing. **โ“ Can I schedule runs.** Yes, native Apify scheduler. **โ“ Is this scraping or API.** Public API where available. **โ“ Will the schema change.** Field names listed in the Output section are stable. **โ“ What format can I download.** Every tabular format the Apify dataset supports. **โ“ Can I filter the output.** Yes, every input field maps to an upstream filter. ### ๐Ÿ”Œ Integrate with any app Apify ships native integrations with Make, Zapier, Slack, Discord, Google Drive, Google Sheets, Gmail, Airbyte, Keboola, Telegram, GitHub, and any REST API or webhook endpoint. Trigger runs from a calendar event, a form submission, a cron job, or pipe results straight into BigQuery, Snowflake, or a Postgres warehouse. ### ๐Ÿ”— Recommended Actors | Actor | What it does | |---|---| | [ParseForge OurAirports Scraper](https://apify.com/parseforge/ourairports-scraper) | Global airport database. | | [ParseForge Alpha Vantage Scraper](https://apify.com/parseforge/alpha-vantage-public-scraper) | Stocks, FX, crypto, and indicators. | | [ParseForge NBA Stats Scraper](https://apify.com/parseforge/nba-stats-scraper) | Player and team stats from NBA.com. | | [ParseForge CurseForge Mods Scraper](https://apify.com/parseforge/curseforge-mods-scraper) | Public mod metadata from CurseForge. | > ๐Ÿ’ก **Pro Tip.** Browse the complete [ParseForge collection](https://apify.com/parseforge) for 900+ production grade scrapers across business intelligence, real estate, e-commerce, sports, finance, and public records. *** **Disclaimer.** This actor scrapes only publicly available data. ParseForge is not affiliated with, endorsed by, or sponsored by any of the third party services referenced. Users are responsible for complying with the target site terms of service and applicable law. [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp). # Actor input Schema ## `maxItems` (type: `integer`): Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000 ## `query` (type: `string`): Free-text search across trial title, sponsor, and condition. Leave empty for all. ## `status` (type: `string`): Filter by trial status. ## `phase` (type: `string`): Filter by trial phase. ## Actor input object example ```json { "maxItems": 10 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/euctr-ema-trials-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "maxItems": 10 } # Run the Actor and wait for it to finish run = client.actor("parseforge/euctr-ema-trials-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "maxItems": 10 }' | apify call parseforge/euctr-ema-trials-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/euctr-ema-trials-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "EU Clinical Trials EMA CTIS Scraper", "description": "Query the EMA Clinical Trials Information System by search query, status, and phase. Each trial includes eu_ct_number, title, sponsor, condition, phase, status, member states, start date, and end date. Useful for clinical pipeline tracking and regulatory monitoring across European trials.", "version": "0.1", "x-build-id": "mDLbjRchaktGaNtVa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~euctr-ema-trials-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-euctr-ema-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~euctr-ema-trials-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-euctr-ema-trials-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~euctr-ema-trials-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-euctr-ema-trials-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000" }, "query": { "title": "Search query", "type": "string", "description": "Free-text search across trial title, sponsor, and condition. Leave empty for all." }, "status": { "title": "Trial status", "enum": [ "", "ongoing", "completed", "authorised", "under-evaluation", "ended" ], "type": "string", "description": "Filter by trial status." }, "phase": { "title": "Phase", "enum": [ "", "phase-1", "phase-2", "phase-3", "phase-4" ], "type": "string", "description": "Filter by trial phase." } } }, "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 } } } } } } } } } } ```