# ClinicalTrials.gov Scraper - Clinical Studies (`lulzasaur/clinicaltrials-scraper`) Actor Search and extract clinical trial data from ClinicalTrials.gov. Get study details, status, sponsors, conditions, interventions, eligibility, locations, and enrollment info. - **URL**: https://apify.com/lulzasaur/clinicaltrials-scraper.md - **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## ClinicalTrials.gov Scraper - Clinical Studies Data Search and extract clinical trial data from [ClinicalTrials.gov](https://clinicaltrials.gov), the world's largest registry of clinical studies with 500,000+ trials from 200+ countries. ### Features - **500,000+ studies**: Access the full ClinicalTrials.gov database - **Rich search**: Filter by condition, intervention, sponsor, location, status, phase, and study type - **Comprehensive data**: 30+ fields per study including eligibility, outcomes, locations, and sponsors - **Fast & reliable**: Uses the official ClinicalTrials.gov v2 API — no scraping needed - **Paginated**: Handles large result sets automatically with cursor-based pagination ### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `condition` | string | (empty) | Condition or disease (e.g., 'diabetes', 'breast cancer') | | `intervention` | string | (empty) | Intervention or treatment (e.g., 'aspirin', 'immunotherapy') | | `sponsor` | string | (empty) | Sponsor name (e.g., 'Pfizer', 'NIH') | | `location` | string | (empty) | Location (e.g., 'New York', 'United States') | | `status` | string | (empty) | Study status: RECRUITING, COMPLETED, etc. | | `studyType` | string | (empty) | Study type: INTERVENTIONAL, OBSERVATIONAL | | `phase` | string | (empty) | Study phase: PHASE1, PHASE2, PHASE3, PHASE4 | | `maxResults` | integer | 100 | Max results to return (0 = all) | ### Output Example ```json { "nctId": "NCT05123456", "briefTitle": "A Study of Drug X in Patients With Type 2 Diabetes", "overallStatus": "RECRUITING", "phases": "PHASE3", "studyType": "INTERVENTIONAL", "conditions": "Type 2 Diabetes Mellitus", "interventions": "Drug X, Placebo", "sponsor": "Pharma Corp", "enrollment": 500, "startDate": "2024-01-15", "completionDate": "2026-06-30", "location": "Boston, Massachusetts, United States", "locationCount": 42, "url": "https://clinicaltrials.gov/study/NCT05123456" } ```` ### Use Cases - **Pharma researchers**: Track competing clinical trials and pipeline drugs - **Healthcare providers**: Find recruiting trials for patients - **Investors**: Monitor pharmaceutical clinical trial progress and outcomes - **Academic researchers**: Analyze clinical trial trends, success rates, and study designs - **Patient advocacy groups**: Identify available trials for specific conditions - **Regulatory professionals**: Track clinical development across therapeutic areas # Actor input Schema ## `condition` (type: `string`): Search by condition or disease (e.g., 'diabetes', 'breast cancer', 'Alzheimer'). Leave empty for all. ## `intervention` (type: `string`): Search by intervention or treatment (e.g., 'aspirin', 'immunotherapy'). Leave empty for all. ## `sponsor` (type: `string`): Search by sponsor name (e.g., 'Pfizer', 'NIH'). Leave empty for all. ## `location` (type: `string`): Search by location (e.g., 'New York', 'United States'). Leave empty for all. ## `status` (type: `string`): Filter by overall study status ## `studyType` (type: `string`): Filter by study type ## `phase` (type: `string`): Filter by study phase ## `maxResults` (type: `integer`): Maximum number of studies to return. Set 0 for all results (can be 100K+ for broad queries). ## `proxyConfiguration` (type: `object`): Proxy settings (usually not needed — ClinicalTrials.gov is a free public API) ## Actor input object example ```json { "condition": "", "intervention": "", "sponsor": "", "location": "", "status": "", "studyType": "", "phase": "", "maxResults": 100, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/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 = {} # Run the Actor and wait for it to finish run = client.actor("lulzasaur/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 '{}' | apify call lulzasaur/clinicaltrials-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/clinicaltrials-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ClinicalTrials.gov Scraper - Clinical Studies", "description": "Search and extract clinical trial data from ClinicalTrials.gov. Get study details, status, sponsors, conditions, interventions, eligibility, locations, and enrollment info.", "version": "1.0", "x-build-id": "Ks36yaYh5M1aShDgd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~clinicaltrials-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-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/lulzasaur~clinicaltrials-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-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/lulzasaur~clinicaltrials-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-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": { "condition": { "title": "Condition / Disease", "type": "string", "description": "Search by condition or disease (e.g., 'diabetes', 'breast cancer', 'Alzheimer'). Leave empty for all.", "default": "" }, "intervention": { "title": "Intervention / Treatment", "type": "string", "description": "Search by intervention or treatment (e.g., 'aspirin', 'immunotherapy'). Leave empty for all.", "default": "" }, "sponsor": { "title": "Sponsor", "type": "string", "description": "Search by sponsor name (e.g., 'Pfizer', 'NIH'). Leave empty for all.", "default": "" }, "location": { "title": "Location", "type": "string", "description": "Search by location (e.g., 'New York', 'United States'). Leave empty for all.", "default": "" }, "status": { "title": "Study Status", "enum": [ "", "RECRUITING", "NOT_YET_RECRUITING", "ACTIVE_NOT_RECRUITING", "COMPLETED", "TERMINATED", "WITHDRAWN", "SUSPENDED" ], "type": "string", "description": "Filter by overall study status", "default": "" }, "studyType": { "title": "Study Type", "enum": [ "", "INTERVENTIONAL", "OBSERVATIONAL", "EXPANDED_ACCESS" ], "type": "string", "description": "Filter by study type", "default": "" }, "phase": { "title": "Phase", "enum": [ "", "EARLY_PHASE1", "PHASE1", "PHASE2", "PHASE3", "PHASE4", "NA" ], "type": "string", "description": "Filter by study phase", "default": "" }, "maxResults": { "title": "Max Results", "minimum": 0, "type": "integer", "description": "Maximum number of studies to return. Set 0 for all results (can be 100K+ for broad queries).", "default": 100 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings (usually not needed — ClinicalTrials.gov is a free public API)", "default": { "useApifyProxy": 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 } } } } } } } } } } ```