# ClinicalTrials.gov Scraper (`commanding_hotdog/clinical-trials-scraper`) Actor Scrape 400K+ clinical trials from ClinicalTrials.gov. Search by disease, drug, phase, status. 40+ fields per study. Free public API, no key. Healthcare research & pharmaceutical intelligence. - **URL**: https://apify.com/commanding\_hotdog/clinical-trials-scraper.md - **Developed by:** [qingwa](https://apify.com/commanding_hotdog) (community) - **Categories:** Business, Lead generation - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 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. 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 从 ClinicalTrials.gov 提取数据的 Apify Actor。 ### 描述 搜索和提取 ClinicalTrials.gov 上的临床试验数据 ### 功能 - 多种数据提取模式 - 支持分页和批量处理 - 结构化 JSON 输出 ### 输入参数 | 参数 | 类型 | 说明 | |------|------|------| | `mode` | string | 模式: search, study_detail, browse | | `maxResults` | number | 最大结果数 (默认100) | | 其他参数 | - | searchQuery, nctId, condition, status, maxResults | ### 使用示例 ```json { "mode": "search", "searchQuery": "example", "maxResults": 10 } ```` # Actor input Schema ## `condition` (type: `string`): Search by disease or condition name (e.g., diabetes, cancer, alzheimer). ## `queryTerm` (type: `string`): Advanced search expression. Overrides condition field if set. Supports ClinicalTrials.gov search syntax. ## `statuses` (type: `string`): Filter by recruitment status. Options: RECRUITING, NOT\_YET\_RECRUITING, ACTIVE\_NOT\_RECRUITING, COMPLETED, ENROLLING\_BY\_INVITATION, SUSPENDED, TERMINATED, WITHDRAWN, UNKNOWN. Leave empty for all. ## `phases` (type: `string`): Filter by phase. Options: EARLY\_PHASE1, PHASE1, PHASE2, PHASE3, PHASE4, NA. Leave empty for all. ## `studyType` (type: `string`): Filter by study design type. ## `country` (type: `string`): Filter by study location country (e.g., United States, China, Germany). ## `sponsor` (type: `string`): Filter by lead sponsor organization (e.g., Mayo Clinic, Pfizer, NIH). ## `hasResults` (type: `boolean`): Only include studies that have posted results. ## `maxResults` (type: `integer`): Maximum number of studies to extract. ## Actor input object example ```json { "condition": "diabetes", "statuses": "RECRUITING", "hasResults": false, "maxResults": 100 } ``` # 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 = { "condition": "diabetes", "statuses": "RECRUITING" }; // Run the Actor and wait for it to finish const run = await client.actor("commanding_hotdog/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 = { "condition": "diabetes", "statuses": "RECRUITING", } # Run the Actor and wait for it to finish run = client.actor("commanding_hotdog/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 '{ "condition": "diabetes", "statuses": "RECRUITING" }' | apify call commanding_hotdog/clinical-trials-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=commanding_hotdog/clinical-trials-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ClinicalTrials.gov Scraper", "description": "Scrape 400K+ clinical trials from ClinicalTrials.gov. Search by disease, drug, phase, status. 40+ fields per study. Free public API, no key. Healthcare research & pharmaceutical intelligence.", "version": "1.0", "x-build-id": "lGfhZriKfRxHMLVx4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/commanding_hotdog~clinical-trials-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-commanding_hotdog-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/commanding_hotdog~clinical-trials-scraper/runs": { "post": { "operationId": "runs-sync-commanding_hotdog-clinical-trials-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/commanding_hotdog~clinical-trials-scraper/run-sync": { "post": { "operationId": "run-sync-commanding_hotdog-clinical-trials-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "condition": { "title": "Disease / Condition", "type": "string", "description": "Search by disease or condition name (e.g., diabetes, cancer, alzheimer)." }, "queryTerm": { "title": "Advanced Query (optional)", "type": "string", "description": "Advanced search expression. Overrides condition field if set. Supports ClinicalTrials.gov search syntax." }, "statuses": { "title": "Recruitment Status (comma-separated)", "type": "string", "description": "Filter by recruitment status. Options: RECRUITING, NOT_YET_RECRUITING, ACTIVE_NOT_RECRUITING, COMPLETED, ENROLLING_BY_INVITATION, SUSPENDED, TERMINATED, WITHDRAWN, UNKNOWN. Leave empty for all." }, "phases": { "title": "Trial Phase (comma-separated)", "type": "string", "description": "Filter by phase. Options: EARLY_PHASE1, PHASE1, PHASE2, PHASE3, PHASE4, NA. Leave empty for all." }, "studyType": { "title": "Study Type", "enum": [ "", "INTERVENTIONAL", "OBSERVATIONAL", "EXPANDED_ACCESS" ], "type": "string", "description": "Filter by study design type." }, "country": { "title": "Country / Location", "type": "string", "description": "Filter by study location country (e.g., United States, China, Germany)." }, "sponsor": { "title": "Sponsor Name", "type": "string", "description": "Filter by lead sponsor organization (e.g., Mayo Clinic, Pfizer, NIH)." }, "hasResults": { "title": "Results Available Only", "type": "boolean", "description": "Only include studies that have posted results.", "default": false }, "maxResults": { "title": "Maximum Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of studies to extract.", "default": 100 } } }, "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 } } } } } } } } } } ```