# FDA Drug Pipeline Tracker (`intelscrape/fda-drug-pipeline-tracker`) Actor Track real FDA drug approvals, application numbers, sponsors, and approval dates using the free openFDA API � no key required. - **URL**: https://apify.com/intelscrape/fda-drug-pipeline-tracker.md - **Developed by:** [IntelScrape](https://apify.com/intelscrape) (community) - **Categories:** Business, Other - **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 ## FDA Drug Pipeline Tracker — Clinical Trials + Approvals + PDUFA Dates Investment-grade pharmaceutical intelligence. Tracks FDA drug approvals (openFDA), active clinical trials (ClinicalTrials.gov v2 API), and SEC 8-K FDA event filings. Flags **imminent data readouts** (<90 days to primary endpoint). ### Data sources - **ClinicalTrials.gov v2 API** — Phase 2/3, NDA, BLA trial statuses - **openFDA API** — approved drugs with application numbers, routes, substances - **SEC EDGAR** — 8-K filings mentioning PDUFA/FDA events ### What you get - NCT ID, trial title, sponsor, phase, enrollment count - Primary completion date + **days until completion** - **Urgency flag**: 🔥 IMMINENT (<90 days) / ⚡ UPCOMING (<6 months) - Conditions, interventions, primary outcomes - FDA approval date, application number, brand/generic names - SEC 8-K filings announcing FDA milestones ### Use cases - **Biotech investing** — front-run data readouts before FDA decisions - **PDUFA date calendars** — know when binary events are hitting - **Competitive intelligence** — track rival pipelines - **Pharma BD** — licensing opportunity identification - **Clinical research** — find active trials by therapeutic area ### Sample output ```json { "type": "clinical_trial", "nctId": "NCT05123456", "title": "Phase 3 Study of XYZ-001 in Non-Small Cell Lung Cancer", "sponsor": "Pfizer Inc.", "phase": "Phase 3", "overallStatus": "RECRUITING", "primaryCompletionDate": "2026-05-15", "daysToCompletion": 63, "urgency": "🔥 IMMINENT (<90 DAYS)", "investmentNote": "⚠️ PRIMARY ENDPOINT IN 63 DAYS — DATA READOUT IMMINENT" } ```` ### Keywords FDA drug pipeline, clinical trials scraper, PDUFA date tracker, biotech catalyst, Phase 3 trials, drug approval tracker, ClinicalTrials.gov API, openFDA, pharmaceutical intelligence, biotech investment research, NDA BLA tracker, drug readout calendar, FDA approval calendar ### Schedule Run weekly. Trials update constantly — new enrollments, completed trials, FDA decisions happen every week. *** ### ?? More Actors by This Developer | Actor | What it does | |-------|-------------| | **SEC Insider Trading Tracker** | See if biotech insiders are buying or selling around PDUFA dates | | **Patent Expiry Monitor** | Which drugs go off-patent = generic opportunity or loss of exclusivity for originators | | **Gov Contract Scraper** | Track NIH, DOD, BARDA pharma contracts to spot funded companies | | **LinkedIn Lead Scraper** | Find clinical investigators, medical affairs leads, KOLs | > ?? **Power combo**: FDA Tracker (what's coming) ? SEC Insider (who's trading it) ? Patent Monitor (when competition enters). # Actor input Schema ## `trackClinicalTrials` (type: `boolean`): Fetch active Phase 2/3/NDA/BLA trials ## `trackFdaPdufa` (type: `boolean`): Track FDA PDUFA approval dates ## `trackSecFilings` (type: `boolean`): Track SEC 8-K FDA-related filings ## `therapeuticAreas` (type: `array`): e.g. \["oncology", "cardiology", "diabetes"]. Leave empty for all. ## `phases` (type: `array`): Trial phases to include ## `daysAheadFilter` (type: `integer`): Flag trials completing within this window ## `maxResults` (type: `integer`): Max results ## Actor input object example ```json { "trackClinicalTrials": true, "trackFdaPdufa": true, "trackSecFilings": true, "therapeuticAreas": [], "phases": [ "Phase 3", "Phase 2/3", "NDA", "BLA" ], "daysAheadFilter": 180, "maxResults": 500 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("intelscrape/fda-drug-pipeline-tracker").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("intelscrape/fda-drug-pipeline-tracker").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 intelscrape/fda-drug-pipeline-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=intelscrape/fda-drug-pipeline-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "FDA Drug Pipeline Tracker", "description": "Track real FDA drug approvals, application numbers, sponsors, and approval dates using the free openFDA API � no key required.", "version": "2.1", "x-build-id": "9aKtF1MxAjx9sbmbJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/intelscrape~fda-drug-pipeline-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-intelscrape-fda-drug-pipeline-tracker", "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/intelscrape~fda-drug-pipeline-tracker/runs": { "post": { "operationId": "runs-sync-intelscrape-fda-drug-pipeline-tracker", "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/intelscrape~fda-drug-pipeline-tracker/run-sync": { "post": { "operationId": "run-sync-intelscrape-fda-drug-pipeline-tracker", "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": { "trackClinicalTrials": { "title": "Track ClinicalTrials.gov", "type": "boolean", "description": "Fetch active Phase 2/3/NDA/BLA trials", "default": true }, "trackFdaPdufa": { "title": "Track FDA PDUFA approval dates", "type": "boolean", "description": "Track FDA PDUFA approval dates", "default": true }, "trackSecFilings": { "title": "Track SEC 8-K FDA-related filings", "type": "boolean", "description": "Track SEC 8-K FDA-related filings", "default": true }, "therapeuticAreas": { "title": "Therapeutic areas (optional filter)", "type": "array", "description": "e.g. [\"oncology\", \"cardiology\", \"diabetes\"]. Leave empty for all.", "items": { "type": "string" }, "default": [] }, "phases": { "title": "Trial phases to include", "type": "array", "description": "Trial phases to include", "items": { "type": "string" }, "default": [ "Phase 3", "Phase 2/3", "NDA", "BLA" ] }, "daysAheadFilter": { "title": "Days ahead to monitor", "minimum": 30, "maximum": 730, "type": "integer", "description": "Flag trials completing within this window", "default": 180 }, "maxResults": { "title": "Max results", "type": "integer", "description": "Max results", "default": 500 } } }, "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 } } } } } } } } } } ```