# ClinicalTrials.gov Studies Scraper (`neuton/clinicaltrials-gov-studies-scraper`) Actor Search ClinicalTrials.gov studies with the official v2 API. Extract trial status, conditions, interventions, sponsors, phases, locations, and dates. - **URL**: https://apify.com/neuton/clinicaltrials-gov-studies-scraper.md - **Developed by:** [Ashwin Prasad](https://apify.com/neuton) (community) - **Categories:** Education - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Scraper Pull structured trial records from ClinicalTrials.gov for biotech scouting, indication research, sponsor monitoring, clinical pipeline analysis, pharma market maps, and healthcare AI datasets. ### Why use this Actor - Uses the official ClinicalTrials.gov v2 API for low cost and high reliability. - Outputs normalized study rows that are easy to send to datasets, spreadsheets, warehouses, BI dashboards, and AI agents. - Runs without a browser or residential proxy, keeping execution fast and predictable. - Useful for recurring monitoring of sponsors, conditions, interventions, recruiting status, trial locations, and study phase. ### Common use cases - Track active and recruiting trials by condition, sponsor, drug, device, country, or phase. - Build a biotech or pharma competitive-intelligence dataset. - Monitor clinical pipeline changes for investors, analysts, CROs, and business-development teams. - Create AI/RAG datasets from public trial records. - Export trial rows for dashboards, spreadsheets, lead lists, or market research. ### Input Search by condition, sponsor, intervention, location, status, phase, or NCT ID. Keep the first test small, then increase limits once the output shape matches your workflow. ```json { "query": "cancer immunotherapy", "statuses": ["RECRUITING", "ACTIVE_NOT_RECRUITING"], "phase": "PHASE2", "maxResults": 50 } ```` ### Output The Actor stores every result in the default Apify dataset. Rows include NCT ID, title, status, phases, conditions, interventions, sponsors, start/completion dates, locations, enrollment, links, and source URLs when available so downstream jobs can deduplicate and refresh records. ### SEO keywords ClinicalTrials.gov scraper, clinical trials API, clinical trial data scraper, pharma pipeline scraper, biotech clinical trials dataset, NCT ID scraper, clinical research data export, trial sponsor monitoring. ### Pricing recommendation Suggested store setup: pay per event with the default dataset-item event as the primary event. Launch around $0.003 per study row, then adjust after real usage and margin data. ### Notes This Actor only accesses publicly available data from the source API. Source availability, rate limits, and upstream schema changes can affect individual runs. ### Responsible use ClinicalTrials.gov data is public research registry data, not medical advice. Validate important trial details against the official study page before making investment, clinical, regulatory, or patient-facing decisions. Do not combine outputs with personal health information unless you have the right legal and security controls. ### Automation ideas Schedule recurring monitors for sponsors, conditions, interventions, countries, and recruiting statuses. AI agents can summarize pipeline movement, detect newly recruiting studies, flag trial-status changes, enrich pharma market maps, and prepare business-development or diligence briefs from official trial records. # Actor input Schema ## `queries` (type: `array`): ClinicalTrials.gov query terms such as cancer immunotherapy, diabetes, or a condition plus sponsor. ## `nctIds` (type: `array`): Optional exact trial IDs, e.g. NCT04280705. ## `maxResults` (type: `integer`): Maximum studies to return for each search query. ## Actor input object example ```json { "queries": [ "cancer immunotherapy" ], "maxResults": 100 } ``` # 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 = { "queries": [ "cancer immunotherapy" ] }; // Run the Actor and wait for it to finish const run = await client.actor("neuton/clinicaltrials-gov-studies-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 = { "queries": ["cancer immunotherapy"] } # Run the Actor and wait for it to finish run = client.actor("neuton/clinicaltrials-gov-studies-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 '{ "queries": [ "cancer immunotherapy" ] }' | apify call neuton/clinicaltrials-gov-studies-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=neuton/clinicaltrials-gov-studies-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ClinicalTrials.gov Studies Scraper", "description": "Search ClinicalTrials.gov studies with the official v2 API. Extract trial status, conditions, interventions, sponsors, phases, locations, and dates.", "version": "1.0", "x-build-id": "J7nc0nI0hIFu166Ha" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/neuton~clinicaltrials-gov-studies-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-neuton-clinicaltrials-gov-studies-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/neuton~clinicaltrials-gov-studies-scraper/runs": { "post": { "operationId": "runs-sync-neuton-clinicaltrials-gov-studies-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/neuton~clinicaltrials-gov-studies-scraper/run-sync": { "post": { "operationId": "run-sync-neuton-clinicaltrials-gov-studies-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "queries": { "title": "Search queries", "type": "array", "description": "ClinicalTrials.gov query terms such as cancer immunotherapy, diabetes, or a condition plus sponsor.", "items": { "type": "string" } }, "nctIds": { "title": "NCT IDs", "type": "array", "description": "Optional exact trial IDs, e.g. NCT04280705.", "items": { "type": "string" } }, "maxResults": { "title": "Max results per query", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum studies to return for each search query.", "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 } } } } } } } } } } ```