Trial registry tracking
Pull new and updated trials for a set of conditions or sponsors every day across registries, normalised to one schema, with a diff that shows status changes such as recruiting to completed or a new site added.
Industries
What we scrape in healthcare and pharma
Clinical trial registries, drug approvals, provider directories and drug price pages, extracted into clean tables with their publication dates.
Healthcare sources are mostly public and mostly awkward: registries with deep search forms, regulator sites that publish approvals as PDFs, provider directories paginated to thousands of pages and price lists that change quietly. We scrape them on a schedule, parse documents into fields and keep every record tied to its source URL and the date it was seen. Patient data and anything behind a provider login are out of scope; we work with what the public can already read.
Sources
Typical sources
Public pages and documents we have scraped in this vertical. Named sites are examples, not an exhaustive list.
- ClinicalTrials.gov, EU CTR and WHO ICTRP trial registries
- FDA, EMA and MHRA approval, label and safety pages
- Hospital and clinic provider directories
- Pharmacy and drug price pages, including GoodRx-style comparison sites
- PubMed and preprint servers for abstracts and metadata
- Medical device registries and recall notices
- Health insurer formulary and coverage documents
- Job boards for clinical and nursing roles
Schema
Fields
A common starting schema. You decide the final columns and names; we keep them stable across runs.
record_idrecord_typetitlesponsor_or_manufacturerstatuscondition_or_indicationlocationpublished_atsourcesource_urlscraped_at
Output
What a row looks like
record_id | record_type | title | sponsor_or_manufacturer | status | condition_or_indication | location | published_at | source | source_url | scraped_at |
|---|---|---|---|---|---|---|---|---|---|---|
| NCT00000000 | Clinical trial | Example study of drug X in adults | Example Pharma Inc. | Recruiting | Type 2 diabetes | Boston, MA | 2026-09-30 | ClinicalTrials.gov | https://example.com/study/NCT00000000 | 2026-10-07 |
Values are illustrative placeholders to show shape and types, not records from any client or source.
Use cases
Jobs we are usually asked for
Drug price and formulary collection
Scrape cash prices, coupon prices and formulary tiers for a drug list from pharmacy sites and insurer documents, by region, so price differences and changes are visible in one table with a date on every row.
Provider directory extraction
Build a list of clinics, hospitals or practitioners from public directories with specialty, address, accepted insurance and phone, deduplicated across sources and refreshed on a schedule you choose so closures show up.
Questions
About healthcare & pharmaceuticals scraping
Do you handle patient or personal health data?
No. We scrape public registries, regulator pages, directories and price pages. Practitioner names and clinic details that are publicly listed are included; anything about patients is not.
Can you parse FDA or EMA documents?
Yes. Approval letters, labels and safety communications in PDF are parsed to the fields you need and linked to the source document. Tables inside PDFs are extracted as rows where the layout allows.
How often can registries be refreshed?
Daily is typical and respects the registries' published guidance on automated access. Where an official API or bulk download exists we use it rather than scraping the HTML.
Can this feed a pharmacovigilance or regulatory tool?
Yes, as the collection step. We deliver structured records to your storage; your existing tooling handles review and reporting.
Need healthcare & pharmaceuticals data? Tell us the sites.
Send the sources and the fields you need. An engineer looks at them the same day and replies with a plan and a price.