# ClinicalTrials.gov Studies Scraper (`chrisp1211/clinicaltrials-scraper-max`) Actor Scrape clinical trials from ClinicalTrials.gov by condition, intervention or sponsor. Returns NCT ID, title, status, phase, sponsor, enrollment and locations. No API key. Pay per study; empty or failed runs cost nothing. - **URL**: https://apify.com/chrisp1211/clinicaltrials-scraper-max.md - **Developed by:** [Christian Pichichero](https://apify.com/chrisp1211) (community) - **Categories:** Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $1.00 / 1,000 records 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/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 **ClinicalTrials.gov Studies Scraper** — a fast, reliable clinicaltrials scraper that needs **no API key**. You pay only for the results you get: failed or empty runs are always free. This clinicaltrials scraper runs on the [Apify platform](https://apify.com), so you can call it from the API, run it on a schedule, or export results to JSON, CSV, Excel, or Google Sheets. ### What this scraper does - Extracts structured **clinicaltrials** data with no browser or API key required - Returns clean JSON, one record per result — ready for sheets, databases, or apps - Pay-per-result pricing: you are never charged for a run that returns nothing - Runs on demand or on a schedule, and integrates with 5,000+ apps via the Apify API and webhooks ### What data you get Each result record includes fields such as: - **Nct Id** (`nctId`) — e.g. `"NCT07104383"` - **Title** (`title`) — e.g. `"VK2735 for Weight Management Type 2 Diabetes Phase 3 (VA...` - **Official Title** (`officialTitle`) — e.g. `"A Phase 3 Randomized, Double-Blind, Placebo-Controlled, ...` - **Overall Status** (`overallStatus`) — e.g. `"ACTIVE_NOT_RECRUITING"` - **Study Type** (`studyType`) — e.g. `"INTERVENTIONAL"` - **Phase** (`phase`) — e.g. `["Phase 3"]` - **Conditions** (`conditions`) — e.g. `["Weight Loss"]` - **Interventions** (`interventions`) — e.g. `["VK2735"]` - **Lead Sponsor** (`leadSponsor`) — e.g. `"Viking Therapeutics, Inc."` - **Lead Sponsor Class** (`leadSponsorClass`) — e.g. `"INDUSTRY"` - **Organization** (`organization`) — e.g. `"Viking Therapeutics, Inc."` - **Enrollment** (`enrollment`) — e.g. `1100` - **Start Date** (`startDate`) — e.g. `"2025-06-23"` - **Primary Completion Date** (`primaryCompletionDate`) — e.g. `"2027-07-01"` ### Input | Field | Type | Description | |---|---|---| | `searchTerms` | array | Free-text queries sent to the ClinicalTrials.gov v2 API as query.term (searches title, conditions, interven... | | `condition` | string | Restrict results to a specific disease/condition via query.cond (e.g. "breast cancer"). Applied to every se... | | `status` | array | Only return studies with these overall recruitment statuses (maps to filter.overallStatus). Leave empty for... | | `maxResults` | integer | Maximum number of studies to return per search term (or per condition-only search). The scraper pages throu... | ### Example output ```json { "type": "study", "scrapedAt": "2026-07-10T00:00:00Z", "nctId": "NCT07104383", "title": "VK2735 for Weight Management Type 2 Diabetes Phase 3 (VANQUISH 2)", "officialTitle": "A Phase 3 Randomized, Double-Blind, Placebo-Controlled, 78-Week Efficacy and Safety Study of VK2735", "overallStatus": "ACTIVE_NOT_RECRUITING", "studyType": "INTERVENTIONAL", "phase": [ "Phase 3" ], "conditions": [ "Weight Loss" ], "interventions": [ "VK2735" ], "leadSponsor": "Viking Therapeutics, Inc.", "leadSponsorClass": "INDUSTRY", "organization": "Viking Therapeutics, Inc.", "enrollment": 1100, "startDate": "2025-06-23", "primaryCompletionDate": "2027-07-01", "completionDate": "2027-08-01", "firstPostDate": "2025-08-05", "lastUpdateDate": "2026-04-07", "locations": [ { "facility": "Viking Clinical Site #2037", "city": "Birmingham", "state": "Alabama", "country": "United States" }, { "facility": "Viking Clinical Site #2064", "city": "Birmingham", "state": "Alabama", "country": "United States" } ], "briefSummary": "This is a phase 3, multicenter, 78-week randomized study of VK2735 in adults with Type 2 Diabetes.", "url": "https://clinicaltrials.gov/study/NCT07104383", "query": "diabetes" } ```` ### Use cases - Automate research and data collection - Feed dashboards, sheets, and databases - Enrich records in your CRM or app - Monitor changes on a schedule ### Run it as a monitor (alerts on new clinicaltrials) Schedule this clinicaltrials scraper to run automatically — hourly, daily, or on any cron schedule — with the built-in [Apify Scheduler](https://docs.apify.com/platform/schedules), and have results pushed to you by **webhook, email, Slack, or your own app** the moment they're ready. It's the easiest way to **monitor clinicaltrials for changes over time** and get alerted the instant something new appears — no manual runs. Because pricing is per result, a scheduled monitor only ever charges you for the data each run actually returns. ### Pricing This actor uses **pay-per-result** pricing at **$0.0006 per record**. There is no monthly fee and no start fee — and **empty or failed runs cost $0**, so you only ever pay for data you actually receive. ### Frequently asked questions **Do I need an API key or account for the source?** No. This clinicaltrials scraper works out of the box with no API key required. **What happens if a run returns no results?** You are not charged. Billing is per result, so empty or failed runs are free. **Can I run the clinicaltrials scraper on a schedule?** Yes. Use the Apify Scheduler to run it hourly, daily, or on any cron schedule, and get results by webhook or API. **What export formats are supported?** Results can be exported as JSON, CSV, Excel, HTML, or pushed to Google Sheets, a database, or your own app via the Apify API. **Is the data structured?** Yes. Every clinicaltrials result is a clean, flat JSON record you can use immediately. # Actor input Schema ## `searchTerms` (type: `array`): Free-text queries sent to the ClinicalTrials.gov v2 API as query.term (searches title, conditions, interventions, sponsor, etc.). One task runs per term. Example: \["diabetes", "GLP-1"]. ## `condition` (type: `string`): Restrict results to a specific disease/condition via query.cond (e.g. "breast cancer"). Applied to every search term. If left blank, no condition filter is used. If you set this but leave Search terms empty, a condition-only search runs. ## `status` (type: `array`): Only return studies with these overall recruitment statuses (maps to filter.overallStatus). Leave empty for all statuses. ## `maxResults` (type: `integer`): Maximum number of studies to return per search term (or per condition-only search). The scraper pages through the API (100 per page) until this cap is reached or results run out. ## `maxCostUsd` (type: `integer`): HARD budget cap. The run stops cleanly before exceeding this. ## `proxyConfiguration` (type: `object`): This is an open API; no proxy needed. Default is fine. ## Actor input object example ```json { "searchTerms": [ "diabetes" ], "maxResults": 50, "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 = { "searchTerms": [ "diabetes" ], "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("chrisp1211/clinicaltrials-scraper-max").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 = { "searchTerms": ["diabetes"], "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("chrisp1211/clinicaltrials-scraper-max").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 '{ "searchTerms": [ "diabetes" ], "proxyConfiguration": { "useApifyProxy": false } }' | apify call chrisp1211/clinicaltrials-scraper-max --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=chrisp1211/clinicaltrials-scraper-max", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ClinicalTrials.gov Studies Scraper", "description": "Scrape clinical trials from ClinicalTrials.gov by condition, intervention or sponsor. Returns NCT ID, title, status, phase, sponsor, enrollment and locations. No API key. Pay per study; empty or failed runs cost nothing.", "version": "0.1", "x-build-id": "LTbDxsr0UIC0aTaTT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/chrisp1211~clinicaltrials-scraper-max/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-chrisp1211-clinicaltrials-scraper-max", "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/chrisp1211~clinicaltrials-scraper-max/runs": { "post": { "operationId": "runs-sync-chrisp1211-clinicaltrials-scraper-max", "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/chrisp1211~clinicaltrials-scraper-max/run-sync": { "post": { "operationId": "run-sync-chrisp1211-clinicaltrials-scraper-max", "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": { "searchTerms": { "title": "Search terms", "type": "array", "description": "Free-text queries sent to the ClinicalTrials.gov v2 API as query.term (searches title, conditions, interventions, sponsor, etc.). One task runs per term. Example: [\"diabetes\", \"GLP-1\"].", "items": { "type": "string" } }, "condition": { "title": "Condition (optional)", "type": "string", "description": "Restrict results to a specific disease/condition via query.cond (e.g. \"breast cancer\"). Applied to every search term. If left blank, no condition filter is used. If you set this but leave Search terms empty, a condition-only search runs." }, "status": { "title": "Recruitment status (optional)", "type": "array", "description": "Only return studies with these overall recruitment statuses (maps to filter.overallStatus). Leave empty for all statuses.", "items": { "type": "string", "enum": [ "RECRUITING", "NOT_YET_RECRUITING", "ENROLLING_BY_INVITATION", "ACTIVE_NOT_RECRUITING", "COMPLETED", "SUSPENDED", "TERMINATED", "WITHDRAWN", "AVAILABLE", "NO_LONGER_AVAILABLE", "APPROVED_FOR_MARKETING", "WITHHELD", "UNKNOWN" ], "enumTitles": [ "Recruiting", "Not yet recruiting", "Enrolling by invitation", "Active, not recruiting", "Completed", "Suspended", "Terminated", "Withdrawn", "Available", "No longer available", "Approved for marketing", "Withheld", "Unknown status" ] } }, "maxResults": { "title": "Max results per search term", "minimum": 1, "type": "integer", "description": "Maximum number of studies to return per search term (or per condition-only search). The scraper pages through the API (100 per page) until this cap is reached or results run out.", "default": 50 }, "maxCostUsd": { "title": "Max cost per run (USD)", "minimum": 1, "type": "integer", "description": "HARD budget cap. The run stops cleanly before exceeding this." }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "This is an open API; no proxy needed. Default is fine.", "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 } } } } } } } } } } ```