ClinicalTrials.gov Scraper — Studies, Conditions, Sponsors & Locations

Search and extract clinical trial records from ClinicalTrials.gov as clean, structured JSON, CSV, Excel or XML — trial IDs, titles, status, phases, conditions, interventions, sponsors, enrollment, eligibility, outcomes and study locations. Search by condition, drug, sponsor or free text, filter by recruitment status, and collect thousands of trials per term. No account, no API key — fast and reliable, built for pharma, biotech, CRO and academic teams who need trial data at scale.

What does the ClinicalTrials.gov Scraper do?

The ClinicalTrials.gov Scraper searches the public clinical trials registry and returns a rich, flat record for every matching study. Pass multiple search terms, filter by recruitment status, and optionally attach every study site — then export analysis-ready data for competitive landscaping, patient matching, site selection and market research.

Features

• 🔎 Multi-term search — pass any number of queries (condition, drug/intervention, sponsor or free text); each is run and trials are deduped by nctId.
• 🎯 Status filtering — narrow results with statuses such as RECRUITING, COMPLETED, ACTIVE_NOT_RECRUITING, TERMINATED or NOT_YET_RECRUITING; leave empty for all.
• 📊 Deep trial detail — phases, study type, enrollment count and type, eligibility (sex, age range, healthy volunteers) and primary outcome measures in every record.
• 🏥 Study locations — toggle includeLocations to attach facility, city, state and country for each site (up to 100 per trial), plus a locationCount.
• 🏢 Sponsor intelligence — lead sponsor, sponsor class and full collaborator list for every trial.
• 📈 Scales cleanly — set maxResultsPerQuery up to 10,000, collected reliably across pages.

What you get

Each dataset row is one clinical trial:

{
  "searchTerm": "lung cancer",
  "nctId": "NCT05012345",
  "url": "https://clinicaltrials.gov/study/NCT05012345",
  "briefTitle": "A Study of Drug X in Advanced Non-Small Cell Lung Cancer",
  "officialTitle": "A Phase 2 Randomized Study of Drug X Versus Standard of Care in NSCLC",
  "overallStatus": "RECRUITING",
  "studyType": "INTERVENTIONAL",
  "phases": ["PHASE2"],
  "conditions": ["Non-Small Cell Lung Cancer"],
  "interventions": [{ "type": "DRUG", "name": "Drug X" }],
  "leadSponsor": "Example Oncology Inc.",
  "sponsorClass": "INDUSTRY",
  "collaborators": ["National Cancer Institute"],
  "enrollmentCount": 240,
  "enrollmentType": "ESTIMATED",
  "startDate": "2023-06-01",
  "primaryCompletionDate": "2025-12-01",
  "completionDate": "2026-06-01",
  "lastUpdateDate": "2024-11-15",
  "briefSummary": "This study evaluates the efficacy and safety of Drug X...",
  "sex": "ALL",
  "minimumAge": "18 Years",
  "maximumAge": "N/A",
  "healthyVolunteers": false,
  "primaryOutcomes": ["Overall Survival", "Progression-Free Survival"],
  "locationCount": 42,
  "locations": [
    { "facility": "City Cancer Center", "city": "Boston", "state": "Massachusetts", "country": "United States" }
  ]
}

Output schema

Field	Type	Description
searchTerm	string	The query this trial matched (echoed for traceability)
nctId	string	The trial's NCT registry identifier
url	string (URL)	Link to the study page on ClinicalTrials.gov
briefTitle	string	Short public title of the study
officialTitle	string	Full official study title
overallStatus	string	Recruitment status, e.g. RECRUITING, COMPLETED, TERMINATED
studyType	string	Study type, e.g. INTERVENTIONAL, OBSERVATIONAL
phases	array	Trial phase(s), e.g. PHASE1, PHASE2
conditions	array	Conditions or diseases studied
interventions	array	Interventions, each with type and name
leadSponsor	string	Primary sponsor of the trial
sponsorClass	string	Sponsor classification, e.g. INDUSTRY, NIH, OTHER
collaborators	array	Collaborating organizations
enrollmentCount	integer	Number of participants enrolled or targeted
enrollmentType	string	Whether enrollment is ACTUAL or ESTIMATED
startDate	string	Study start date
primaryCompletionDate	string	Primary completion date
completionDate	string	Overall study completion date
lastUpdateDate	string	Date the record was last updated
briefSummary	string	Plain-language summary of the study
sex	string	Eligible sex, e.g. ALL, FEMALE, MALE
minimumAge	string	Minimum eligible age
maximumAge	string	Maximum eligible age
healthyVolunteers	boolean	Whether healthy volunteers are accepted
primaryOutcomes	array	Primary outcome measures
locationCount	integer	Number of study sites
locations	array	Study sites with facility, city, state and country

Input

{
  "queries": ["lung cancer", "semaglutide"],
  "statuses": ["RECRUITING"],
  "maxResultsPerQuery": 100,
  "includeLocations": true
}

Field	Type	Description
queries	array	Search terms — condition, drug/intervention, sponsor or free text. One run per term.
statuses	array	Optional status filter (e.g. RECRUITING, COMPLETED). Empty means all statuses.
maxResultsPerQuery	integer	Maximum trials to collect per search term (1–10,000).
includeLocations	boolean	Include each trial's study sites (facility, city, state, country).

Use cases

• Build a competitive landscape of trials for a drug, target or indication across sponsors and phases.
• Feed recruiting-trial data (with locations) into patient-matching or site-selection workflows.
• Track sponsor and collaborator activity in a therapeutic area over time.
• Assemble structured trial datasets for market research, due diligence or academic meta-analysis.
• Monitor status changes across a portfolio of trials of interest.

How to scrape ClinicalTrials.gov data

1. Add the ClinicalTrials.gov Scraper to your Apify account.
2. Enter one or more queries (condition, drug, sponsor or free text).
3. Optionally set statuses, maxResultsPerQuery and toggle includeLocations.
4. Click Run.
5. Export the dataset as JSON, CSV, Excel or XML, or pull it via the Apify API.

Need more research data?

• PubMed Scraper — biomedical papers, abstracts and MeSH terms.
• arXiv Scraper — preprints with abstracts, authors and PDF links.
• Crossref Scraper — DOIs, citation counts and metadata from 150M+ works.

FAQ

Do I need an API key or login? No. There's no account, login or API key required — just add your queries and run.

How many trials can I scrape per run? Up to 10,000 trials per query via maxResultsPerQuery, and you can pass multiple queries in one run, so a single run can collect many thousands of trials (deduped by nctId).

How does billing work? You pay only per trial you get, so small filtered runs stay cheap. See the Pricing tab for current rates.

What format is the output? Structured JSON — one flat record per trial — exportable as JSON, CSV, Excel or XML. Each record includes NCT ID, titles, status, phases, conditions, interventions, sponsors, enrollment, eligibility, primary outcomes and (optionally) study locations.

Can I filter by recruitment status or include locations? Yes. Use statuses to keep only trials that are RECRUITING, COMPLETED, TERMINATED etc. (leave empty for all), and toggle includeLocations to attach each trial's facility, city, state and country.

Is this only public data? Yes. ClinicalTrials.gov is a public registry and this Actor returns only its openly available records.

Can I connect this to other tools? The ClinicalTrials.gov Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JavaScript/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

Related Actors

• arXiv Scraper
• Crossref Scraper
• OpenLibrary Scraper
• Wikipedia Scraper

Notes

Original clean-room implementation. Returns only public registry data; you are responsible for compliance with ClinicalTrials.gov's terms. Not affiliated with, endorsed by, or sponsored by ClinicalTrials.gov, the U.S. National Library of Medicine or the National Institutes of Health.