# ClinicalTrials.gov Studies Extractor (`xtracto/clinicaltrials-studies`) Actor Extract clinical-trial records from ClinicalTrials.gov — one study per row. 588k+ studies, filter by condition, term, or status. Public data, no login. - **URL**: https://apify.com/xtracto/clinicaltrials-studies.md - **Developed by:** [xtractoo](https://apify.com/xtracto) (community) - **Categories:** Other, Lead generation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## ClinicalTrials.gov Studies Extractor Extract clinical-trial records from **ClinicalTrials.gov (API v2)** — one **study per row** — filtered by condition, intervention/term, or trial status. Ideal for pipeline tracking, catalyst calendars, and competitive intelligence. Built for biotech/pharma investors and analysts, CROs, and life-science researchers. --- ### Why use this actor - **Whole corpus or a slice** — 588k+ studies; pull everything via cursor pagination, or filter to your therapeutic area. - **One study per row**, with a flat header (`nct_id`, `brief_title`, `overall_status`, `phase`, `lead_sponsor`, `start_date`) plus the **full raw study object** (protocol, derived, results) preserved. - **No login, no key.** Clean JSON API. ### Input | Field | Type | Description | | --- | --- | --- | | `conditionQuery` | text | Disease/condition, e.g. `breast cancer`. | | `termQuery` | text | Other terms (drug, sponsor, keyword). | | `status` | **multi-select** | Filter by overall status (Recruiting, Completed, Terminated, …). | | `pageSize` | int | 1–1000 (default 1000). | | `maxItems` | int | 0 = all matching. | `status` is a **dropdown of the valid ClinicalTrials statuses** — no need to know the API enum strings. ### Output — `CLINICAL_TRIAL` Envelope (`_input`, `_source`, `_scrapedAt`) + `recordType: "CLINICAL_TRIAL"` + flat header fields, then the raw study object verbatim: ```json { "_input": "cond=breast cancer; status=RECRUITING", "_source": "S1-ctgov-v2", "_scrapedAt": "2026-06-03T10:00:00Z", "recordType": "CLINICAL_TRIAL", "nct_id": "NCT01234567", "brief_title": "...", "overall_status": "RECRUITING", "phase": "PHASE2", "lead_sponsor": "...", "start_date": "2026-01-01", "protocolSection": { "...": "..." }, "derivedSection": { "...": "..." }, "hasResults": false } ```` ### How it works 1. Your filters become v2 query params (`query.cond`, `query.term`, `filter.overallStatus`). 2. The actor pages through results with the `nextPageToken` cursor (pageSize up to 1000). 3. Each study streams into the dataset. ### Known limits - Public API, no WAF; datacenter IP is fine. Backs off on HTTP 429. - **Verified live 2026-06-03:** totalCount 588,273; cursor pagination via `nextPageToken` confirmed. # Actor input Schema ## `conditionQuery` (type: `string`): Optional. e.g. 'breast cancer', 'type 2 diabetes'. Leave blank for all conditions. ## `termQuery` (type: `string`): Optional free-text, e.g. a drug name or sponsor. ## `status` (type: `array`): Optional. Filter by one or more overall statuses. Leave empty for any status. ## `pageSize` (type: `integer`): How many records to fetch per request. ## `maxItems` (type: `integer`): Maximum records to return (0 = all matching). ## `proxyConfiguration` (type: `object`): Not required (public API). ## Actor input object example ```json { "conditionQuery": "", "termQuery": "", "status": [], "pageSize": 1000, "maxItems": 0, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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("xtracto/clinicaltrials-studies").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("xtracto/clinicaltrials-studies").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 xtracto/clinicaltrials-studies --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=xtracto/clinicaltrials-studies", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ClinicalTrials.gov Studies Extractor", "description": "Extract clinical-trial records from ClinicalTrials.gov — one study per row. 588k+ studies, filter by condition, term, or status. Public data, no login.", "version": "0.1", "x-build-id": "nnzrlKDaSfusJPsiw" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/xtracto~clinicaltrials-studies/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-xtracto-clinicaltrials-studies", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/xtracto~clinicaltrials-studies/runs": { "post": { "operationId": "runs-sync-xtracto-clinicaltrials-studies", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/xtracto~clinicaltrials-studies/run-sync": { "post": { "operationId": "run-sync-xtracto-clinicaltrials-studies", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "conditionQuery": { "title": "Condition / disease", "type": "string", "description": "Optional. e.g. 'breast cancer', 'type 2 diabetes'. Leave blank for all conditions.", "default": "" }, "termQuery": { "title": "Other terms (intervention, sponsor, keyword)", "type": "string", "description": "Optional free-text, e.g. a drug name or sponsor.", "default": "" }, "status": { "title": "Trial status", "type": "array", "description": "Optional. Filter by one or more overall statuses. Leave empty for any status.", "items": { "type": "string", "enum": [ "RECRUITING", "NOT_YET_RECRUITING", "ACTIVE_NOT_RECRUITING", "ENROLLING_BY_INVITATION", "COMPLETED", "SUSPENDED", "TERMINATED", "WITHDRAWN", "AVAILABLE", "NO_LONGER_AVAILABLE", "TEMPORARILY_NOT_AVAILABLE", "APPROVED_FOR_MARKETING", "WITHHELD", "UNKNOWN" ], "enumTitles": [ "Recruiting", "Not yet recruiting", "Active, not recruiting", "Enrolling by invitation", "Completed", "Suspended", "Terminated", "Withdrawn", "Available", "No longer available", "Temporarily not available", "Approved for marketing", "Withheld", "Unknown" ] }, "default": [] }, "pageSize": { "title": "Page size", "minimum": 1, "maximum": 1000, "type": "integer", "description": "How many records to fetch per request.", "default": 1000 }, "maxItems": { "title": "Max studies (0 = all matching)", "minimum": 0, "type": "integer", "description": "Maximum records to return (0 = all matching).", "default": 0 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Not required (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 } } } } } } } } } } ```