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EU Clinical Trials Register Scraper

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from $19.00 / 1,000 results

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EU Clinical Trials Register Scraper

EU Clinical Trials Register Scraper

Scrapes clinical trial records from the EU Clinical Trials Register by keyword and status. Returns each trial as a flat row with title, sponsor, conditions, and phases.

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from $19.00 / 1,000 results

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ParseForge

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EU Clinical Trials Register Scraper

Scrape clinical trial records from the EU Clinical Trials Register by keyword and status. Each record returns the trial title, sponsor, conditions, phases, and enrollment details. No API key required. Export to CSV, JSON, Excel, or XML.

The EU Clinical Trials Register publishes detailed protocol and results information for interventional clinical trials conducted in the European Union. Manually searching and compiling trial data for systematic reviews or competitive analysis is slow and error-prone. This actor reads the public register directly, filters trials by a free-text keyword and recruitment status, and returns each matching record in one consistent schema.

Who uses itWhat they scrape EU Clinical Trials Register for
Medical writersCompile a bibliography of trials for a systematic review or meta-analysis.
Pharma competitive intelligence analystsTrack competitor trial starts, completions, and enrollment targets in a therapy area.
Clinical operations teamsIdentify active trial sites and recruitment statuses for feasibility assessments.
Patient advocacy groupsBuild a current list of recruiting trials for a specific condition to share with members.

What it does

This Actor collects clinical trial records from the EU Clinical Trials Register by keyword and status, and returns each one as a flat row.

  • ๐Ÿ”Ž Keyword search: Free-text term matched against trial title and medical condition fields.
  • ๐Ÿ“Š Status filter: Limit results to one recruitment status, such as ongoing or ended trials.
  • ๐Ÿ“ฆ Bulk export: Download up to a million trial records as a structured dataset.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with EU Clinical Trials Register data

๐Ÿ“‹ Build a systematic review corpus.

A medical writer enters a condition keyword and the 'ended' status to pull every completed trial for a literature review.

๐Ÿ“ˆ Monitor competitor pipelines.

A pharma analyst runs the actor weekly with a drug class keyword and the 'ongoing' status to track new trial postings.

๐ŸŒ Assess site feasibility.

A clinical operations manager searches for a disease term and filters by 'authorised' to find potential investigator sites.

๐Ÿค Connect patients with trials.

A patient group searches for their condition and the 'ongoing' status to publish a current list of recruiting studies.

Why choose this scraper

What you get
Consistent flat schemaEvery trial record arrives with the same fields, ready for analysis.
No API registrationReads the public web interface so you avoid OAuth and rate-limit headaches.
Status-aware filteringTarget only recruiting, completed, or withdrawn trials with one setting.

How it compares

No other Store actor targets EU Clinical Trials Register the same way, so the honest comparison is with the alternatives teams actually weigh.

EU Clinical Trials Register ScraperBuild it in-houseBy hand
SetupRun it now, zero configDays of engineeringNone, but hours per pull
When EU Clinical Trials Register changesMaintained for youYou fix itYou re-learn the page
Proxies, retries, anti-botBuilt inYour problemBrowser only
OutputFixed JSON schema, CSV/Excel exportWhatever you buildCopy-paste
CostPay per resultEngineering timeAnalyst hours

Configure the run

Drive the Actor with a search term and an optional trial status filter, and each record is validated against your criteria before it lands in your dataset. The Input tab lists every parameter.

A first run with the defaults:

{
"maxItems": 10
}

A larger pull:

{
"maxItems": 200
}

Pricing

Pay-per-result: $0.021 per result collected. You pay only for the results written to your dataset.

Results collectedApproximate cost
100 results$2.10
1,000 results$21.00
10,000 results$210.00

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

  1. Create a free Apify account with $5 in credit.
  2. Open the EU Clinical Trials Register Scraper.
  3. Set your inputs and any filters, then click Start.
  4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to EU Clinical Trials Register through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/eu-clinical-trials-register-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results?

Your keyword may be too specific or contain a typo. Try a broader term, check the spelling, or remove the status filter to see if any trials match.

The run stopped before reaching my max items limit.

The register may have fewer matching trials than your limit. The actor completes when it has read all available records that match your filters.

Some fields are empty in my output.

Not all fields are populated for every trial on the register. Empty cells mean the information was not provided by the sponsor or is not yet available.

The actor is running slowly.

The EU Clinical Trials Register website can be slow during peak hours. The actor respects the site's response time, so a large run may take longer.

I received an error during the run.

A temporary site outage or network issue may have occurred. Wait a few minutes and retry the run. If the error persists, check the Apify platform status.

FAQ

QuestionAnswer
What data does the EU Clinical Trials Register contain?It holds protocol and results information for interventional clinical trials conducted in the EU and the European Economic Area, submitted by sponsors to national competent authorities.
Can I scrape all trials without a keyword?Yes. Leave the search term blank and the actor will return the most recent trials across all conditions, up to your maximum items limit.
Which trial statuses can I filter by?You can filter by under evaluation, authorised, ongoing, ended, suspended, or withdrawn. Leave the status blank to include trials in any state.
Does this actor require an API key or login?No. It reads the publicly accessible EU Clinical Trials Register website, so no registration or API key is needed.
What output formats are supported?You can export your dataset to CSV, JSON, Excel, or XML from the Apify platform.
How many trial records can I scrape in one run?Free users are limited to 10 items for a preview. Paid Apify users can scrape up to 1,000,000 records per run.
Does the actor return trial results data?It returns the structured record as displayed on the register, which includes protocol details and, when available, a link to the results summary.
Can I search for a specific sponsor or drug name?The keyword field searches across the trial title and medical condition fields. For a sponsor-specific search, include the sponsor name in your keyword.
Is the data from the EU Clinical Trials Register up to date?The actor reads the live website on each run, so your dataset reflects the register's current content at that moment.
Can I schedule this scraper to run automatically?Yes. Apify supports scheduled runs, so you can set the actor to refresh your trial dataset daily, weekly, or on any custom interval.

Browse the full ParseForge collection for more scrapers.

๐Ÿ†˜ Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

โš ๏ธ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by European Medicines Agency. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.