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URL: https://apify.com/gocreative.ai/clinicaltrials-investigator-leads

โ‡ฑ Clinicaltrials Investigator Leads ยท Apify


๐Ÿ‘ Clinicaltrials Investigator Leads Scraper avatar

Clinicaltrials Investigator Leads Scraper

Pricing

from $8.00 / 1,000 leads

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Clinicaltrials Investigator Leads Scraper

Find principal investigators running active clinical trials on ClinicalTrials.gov. Filter by disease condition, intervention type, phase, and trial status. Returns investigator name, institution, contact info, trial title, phase, and sponsor โ€” ideal for CTMS vendors, CROs, medical device companies,

Pricing

from $8.00 / 1,000 leads

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๐Ÿ‘ GoCreative AI

GoCreative AI

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1

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5 days ago

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Find principal investigators running active clinical trials on ClinicalTrials.gov. Filter by disease condition, intervention type, phase, and trial status. Returns investigator name, institution, contact info, trial title, phase, and sponsor โ€” ideal for CTMS vendors, CROs, medical device companies,

No API key, no signup, no subscription โ€” pay only for what you scrape. Clean, structured output ready for CSV, JSON, Excel, or direct API export into your own pipeline.

What this scraper does

Find principal investigators running active clinical trials on ClinicalTrials.gov. Filter by disease condition, intervention type, phase, and trial status. Returns investigator name, institution, contact info, trial title, phase, and sponsor โ€” ideal for CTMS vendors, CROs, medical device companies,

Every run pulls fresh data straight from the source and pushes clean, typed records to the dataset โ€” ready for your CRM, spreadsheet, AI agent, or data pipeline.

Use cases

  • B2B lead generation โ€” build targeted prospect lists with verified, structured data
  • Sales prospecting โ€” find companies and contacts that match your ICP
  • Market research & competitive intelligence โ€” track an industry or niche in structured form
  • AI agents & automation โ€” feed agents clean external data without scraping infra
  • Data enrichment โ€” append fresh fields to your existing lists

Input

FieldDescription
conditionFilter trials by disease or condition (e.g. cancer, diabetes, COVID-19). Leave blank for all conditions.
interventionFilter by intervention keyword (e.g. drug, device, behavioral, surgery).
phaseFilter by trial phase. Options: PHASE1, PHASE2, PHASE3, PHASE4. Leave blank for all phases.
statusFilter by overall trial status.
maxResultsMaximum number of unique investigator leads to return.

Output

Every result is a clean structured record. Export the full dataset as CSV, JSON, or Excel from the Apify console, or pull it via the Apify API straight into your own tools.

Why use this actor

  • Scrape clinicaltrials investigator leads โ€” fast, structured, reliable.
  • Clinicaltrials investigator leads data export (csv, json, excel) โ€” fast, structured, reliable.
  • Clinicaltrials investigator leads api alternative โ€” no key required โ€” fast, structured, reliable.
  • Automated clinicaltrials investigator leads monitoring on a schedule โ€” fast, structured, reliable.
  • Structured clinicaltrials investigator leads records for ai agents and pipelines โ€” fast, structured, reliable.

How it works

This actor pulls data directly from the source, structures it into clean rows, and pushes each result to the dataset. It runs on Apify's infrastructure โ€” reliable, schedulable, and pay-per-result so you only pay for data you actually get.

Pricing

Pay-per-result via the Apify Store. No monthly subscription, no minimums โ€” run it once or schedule it daily; you're only charged for the results returned.

FAQ

Do I need an API key or account? No. Just provide your input and run it.

Can I schedule it to run automatically? Yes โ€” use Apify Schedules to run it hourly, daily, or weekly and get fresh data on autopilot.

What formats can I export? CSV, JSON, Excel, or via the Apify API.

Can I integrate it into my own app? Yes โ€” call it via the Apify API and pull results directly into your pipeline.

Is the data accurate and fresh? Data is pulled live from the source on each run, so it reflects what's available at run time.

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