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Compare ClinicalTrials.gov Scraper Side by Side

Compare ClinicalTrials.gov Scraper Side by Side — a practical guide with a ready-to-run configuration and structured output.

Editorial illustration for more research
Sep 16, 2026 · 2 min read · 428 words
View the Apify scraper →

Need to compare clinicaltrials.gov scraper across targets? 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 Compare side by side works

Put the same fields side by side for every target — the deltas are where decisions happen. 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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