# Clinical Trials Scraper (`seemuapps/clinicaltrials-scraper`) Actor Search and extract clinical trials by condition, drug, sponsor, or location, status, phase, eligibility, enrollment, and sites from ClinicalTrials.gov. - **URL**: https://apify.com/seemuapps/clinicaltrials-scraper.md - **Developed by:** [Andrew](https://apify.com/seemuapps) (community) - **Categories:** Automation, Developer tools, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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 ## Clinical Trials Scraper Search and extract clinical trials by condition, drug, sponsor, or location — directly from ClinicalTrials.gov, no login required. ### What you get One row per trial, with: - **Identity**: NCT ID, brief title, official title, acronym, sponsoring organization, and a direct study URL - **Status & design**: recruitment status, study type, phases, and enrollment count - **Summary**: brief summary, conditions, and keywords - **Interventions**: every intervention with its type (drug, device, behavioral, etc.) and name - **Sponsorship**: lead sponsor, sponsor class, and collaborators - **Eligibility**: sex, minimum age, maximum age, healthy-volunteer flag, and standard age groups - **Locations**: site facilities (with city, state, country) and the list of countries involved - **Dates**: start, primary completion, completion, first-posted, and last-updated dates Export everything to JSON, CSV, Excel, or Google Sheets straight from the Apify console. ### Use cases - **Pharma & biotech competitive intelligence** — track who is running trials for a drug, condition, or mechanism - **Patient recruitment** — find recruiting trials by condition and location - **Investor & business due diligence** — map a company's clinical pipeline by phase and status - **Systematic reviews & research** — build structured datasets of trials matching precise criteria - **Market landscaping** — quantify trial activity across conditions, sponsors, and geographies ### How to use 1. Enter any combination of **Search term**, **Condition**, **Intervention**, **Sponsor**, and **Location country** 2. Optionally narrow by **Recruitment status** and **Trial phase** 3. Set **Max items** (default 500; set `0` for unlimited) 4. Run the actor — results appear in the **Dataset** tab, one trial per row At least one search input is required. ### Fetching more across runs The actor auto-paginates within a single run up to your **Max items**. To pull a very large result set across runs (or to resume after a timeout): > After the run finishes, open the **Key-value store** tab → copy the `NEXT_PAGE_ID` value → paste it into **Page ID** on your next run. If `NEXT_PAGE_ID` is `null`, you've fetched every matching trial. ### Output format A trial row (abridged): ```json { "nctId": "NCT05643521", "title": "The Acute Effects of Carbohydrate Restriction on Liver Fat", "status": "RECRUITING", "studyType": "INTERVENTIONAL", "phases": ["PHASE3"], "conditions": ["NAFLD", "Overweight and Obesity", "Diabetes"], "interventions": [{ "type": "DRUG", "name": "Semaglutide" }], "leadSponsor": "Hvidovre University Hospital", "collaborators": ["University of Copenhagen"], "enrollmentCount": 14, "sex": "ALL", "minimumAge": "30 Years", "healthyVolunteers": false, "countries": ["Denmark"], "startDate": "2022-12-01", "studyUrl": "https://clinicaltrials.gov/study/NCT05643521" } ```` ### Input options | Field | Type | Description | |-------|------|-------------| | Search term | string | Free-text across the whole record | | Condition / disease | string | Filter by condition | | Intervention / drug | string | Filter by intervention or drug | | Sponsor / organization | string | Filter by lead sponsor | | Location country | string | Filter to trials with a site in this country | | Recruitment status | array | One or more statuses | | Trial phase | array | One or more phases | | Max items | integer | Cap on trials returned; `0` = unlimited — default 500 | | Page ID | string | `NEXT_PAGE_ID` from a previous run to resume | ### Notes - Data comes from the official ClinicalTrials.gov public API — global coverage of registered trials. - Up to 50 trial sites are listed per row; the full count is always in `locationCount`. # Actor input Schema ## `queryTerm` (type: `string`): Free-text search across the whole trial record (e.g. 'GLP-1 obesity'). Combined with the more specific filters below. Leave empty to rely on the filters alone. ## `condition` (type: `string`): Filter by condition or disease (e.g. 'breast cancer', 'type 2 diabetes'). ## `intervention` (type: `string`): Filter by intervention, drug, or treatment name (e.g. 'semaglutide', 'immunotherapy'). ## `sponsor` (type: `string`): Filter by lead sponsor or organization name (e.g. 'Pfizer', 'Mayo Clinic'). ## `locationCountry` (type: `string`): Filter to trials with a site in this country (e.g. 'United States', 'Germany'). ## `status` (type: `array`): Limit to one or more recruitment statuses. Leave empty for all statuses. ## `phase` (type: `array`): Limit to one or more trial phases. Leave empty for all phases. ## `maxItems` (type: `integer`): Maximum number of trials to return. Set 0 for unlimited (paginates until the result set is exhausted or the run nears its timeout). ## `pageId` (type: `string`): Paste the NEXT\_PAGE\_ID value from the previous run's Key-value store to resume fetching results where you left off. ## Actor input object example ```json { "queryTerm": "diabetes", "maxItems": 500 } ``` # Actor output Schema ## `results` (type: `string`): One trial per row. Fields: nctId, title, officialTitle, status, phases, studyType, briefSummary, conditions, interventions, leadSponsor, collaborators, enrollmentCount, start/completion/lastUpdate dates, eligibility (sex, minAge, maxAge, healthyVolunteers), locations, and studyUrl. ## `nextPageId` (type: `string`): NEXT\_PAGE\_ID record in the default key-value store. The pageToken for the next batch of results; null when the result set is exhausted. Paste into Page ID on the next run to resume. # 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 = { "queryTerm": "diabetes" }; // Run the Actor and wait for it to finish const run = await client.actor("seemuapps/clinicaltrials-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 = { "queryTerm": "diabetes" } # Run the Actor and wait for it to finish run = client.actor("seemuapps/clinicaltrials-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 '{ "queryTerm": "diabetes" }' | apify call seemuapps/clinicaltrials-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seemuapps/clinicaltrials-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Clinical Trials Scraper", "description": "Search and extract clinical trials by condition, drug, sponsor, or location, status, phase, eligibility, enrollment, and sites from ClinicalTrials.gov.", "version": "1.0", "x-build-id": "0MZngkA7uzPmKTjvq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seemuapps~clinicaltrials-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seemuapps-clinicaltrials-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seemuapps~clinicaltrials-scraper/runs": { "post": { "operationId": "runs-sync-seemuapps-clinicaltrials-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seemuapps~clinicaltrials-scraper/run-sync": { "post": { "operationId": "run-sync-seemuapps-clinicaltrials-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "queryTerm": { "title": "Search term", "type": "string", "description": "Free-text search across the whole trial record (e.g. 'GLP-1 obesity'). Combined with the more specific filters below. Leave empty to rely on the filters alone." }, "condition": { "title": "Condition / disease", "type": "string", "description": "Filter by condition or disease (e.g. 'breast cancer', 'type 2 diabetes')." }, "intervention": { "title": "Intervention / drug", "type": "string", "description": "Filter by intervention, drug, or treatment name (e.g. 'semaglutide', 'immunotherapy')." }, "sponsor": { "title": "Sponsor / organization", "type": "string", "description": "Filter by lead sponsor or organization name (e.g. 'Pfizer', 'Mayo Clinic')." }, "locationCountry": { "title": "Location country", "type": "string", "description": "Filter to trials with a site in this country (e.g. 'United States', 'Germany')." }, "status": { "title": "Recruitment status", "type": "array", "description": "Limit to one or more recruitment statuses. Leave empty for all statuses.", "items": { "type": "string", "enum": [ "RECRUITING", "NOT_YET_RECRUITING", "ENROLLING_BY_INVITATION", "ACTIVE_NOT_RECRUITING", "COMPLETED", "SUSPENDED", "TERMINATED", "WITHDRAWN", "UNKNOWN" ], "enumTitles": [ "Recruiting", "Not yet recruiting", "Enrolling by invitation", "Active, not recruiting", "Completed", "Suspended", "Terminated", "Withdrawn", "Unknown" ] } }, "phase": { "title": "Trial phase", "type": "array", "description": "Limit to one or more trial phases. Leave empty for all phases.", "items": { "type": "string", "enum": [ "EARLY_PHASE1", "PHASE1", "PHASE2", "PHASE3", "PHASE4", "NA" ], "enumTitles": [ "Early Phase 1", "Phase 1", "Phase 2", "Phase 3", "Phase 4", "Not applicable" ] } }, "maxItems": { "title": "Max items", "minimum": 0, "type": "integer", "description": "Maximum number of trials to return. Set 0 for unlimited (paginates until the result set is exhausted or the run nears its timeout).", "default": 500 }, "pageId": { "title": "Page ID (pagination)", "type": "string", "description": "Paste the NEXT_PAGE_ID value from the previous run's Key-value store to resume fetching results where you left off." } } }, "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 } } } } } } } } } } ```