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Extract ClinicalTrials.gov Scraper at Scale

Extract ClinicalTrials.gov Scraper at Scale — a practical guide with a ready-to-run configuration and structured output.

Editorial illustration for more research
Sep 16, 2026 · 2 min read · 431 words
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Need to pull clinicaltrials.gov scraper at scale? Thirdwatch's ClinicalTrials.gov Scraper turns it into structured rows — the fields you need, ready to export.

Skip the setup: Run this as a ready-to-go task on Apify — pre-loaded with the configuration from this guide.

Why Extract at scale works

Single runs prove the shape; scale is where the payoff lives. Batch the targets and let pagination do the work. This guide shows the configuration that pulls clinicaltrials.gov scraper data from ClinicalTrials.gov Scraper.

How does this compare to the alternatives?

Manual copy-paste works for a handful of rows; dedicated per-site scrapers on other platforms either gate the same data behind sign-in or charge flat monthly fees regardless of usage.

Why this Actor

  • Purpose-built for ClinicalTrials.gov Scraper — no generic crawling config to tune
  • Pay-per-result pricing — you pay only for rows that come back
  • Structured output ready for JSON/CSV export or API consumption
  • No login, cookies, or API keys needed for the public surfaces it reads

How to do it in 3 steps

Step 1: Configure the input

Set the inputs as shown below — queries takes the targets, and the optional fields bound the run size.

Step 2: Run the Actor

Run it from the console, the API, or the linked saved task. One dataset row is written per record.

Step 3: Use the output

Every row carries the fields shown in the sample — export as JSON, CSV, or feed it straight into your pipeline.

{
  "queries": [
    "diabetes"
  ],
  "searchField": "condition",
  "sort": "@relevance",
  "maxResultsPerQuery": 100
}

Each dataset row looks like:

{
  "nct_id": "NCT00726505",
  "brief_title": "Renal Mechanism of Action/Splay vs. TmG",
  "official_title": "Characterization of the Kinetics of Renal Glucose Reabsorption in Response to Dapagliflozin in Healthy Subjects and in Subjects With Type 2 Diabetes Mellitus",
  "organization_study_id": "MB102-020",
  "overall_status": "TERMINATED",
  "expanded_access": {
    "hasExpandedAccess": false
  },
  "study_type": "INTERVENTIONAL",
  "phases": [
    "PHASE1"
  ],
  "enrollment": 1,
  "enrollment_type": "ACTUAL",
  "conditions": [
    "Diabetes, NOS"
  ],
  "keywords": []
}

What to watch for

Rate the targets reasonably — large batches benefit from modest concurrency. Source sites may throttle heavy bursts; retry once and widen filters if a target surface is thin.

Related use cases

Run the ClinicalTrials.gov Scraper on Apify Store — pay per result, free to try, no credit card to test.

Frequently asked questions

What does ClinicalTrials.gov Scraper return?

One dataset row per result — with the fields shown in the sample output. Export as JSON, CSV, or Excel.

How do I control run size?

`queries` selects the targets and the max/limit fields bound how many rows come back. Start small, then scale.

Can I run this on a schedule?

Yes — save it as a task and attach a schedule in Apify Console for daily/weekly pulls.

Is this data public?

The Actor collects publicly visible data only — the same information a logged-out visitor sees.

What formats can I export?

JSON, CSV, Excel, XML, or direct API access to the dataset — plus webhooks and integrations.

What if a run returns fewer rows than expected?

The source limits some results; retry once, and widen the query or filters if the target surface is genuinely thin.

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