AAALAC Accredited Research Institution Directory Scraper
AAALAC Accredited Research Institution Directory Scraper
Scrapes the complete AAALAC International directory of accredited animal-research institutions. One run, ~1,140 records, no configuration required.
AAALAC accreditation is the gold standard for animal-research ethics in pharma and biotech. The public directory is the canonical source — this actor turns it into a structured dataset.
What It Does
Submits an empty search form to the AAALAC directory endpoint and parses the full HTML response. No pagination. No JavaScript rendering. The entire directory comes back in a single POST request.
Returns every accredited institution with its parent organization, name, and location. That covers universities, pharmaceutical companies, contract research organizations, government labs, and animal hospitals across 52 countries.
Output Fields
| Field | Description |
|---|---|
institution_name |
Name of the accredited unit (e.g. "AbbVie Deutschland GmbH & Co. KG") |
parent_org_name |
Parent organization (e.g. "AbbVie, Inc.") |
city |
City of the institution |
state |
State or province (present for US and some international entries) |
country |
Country |
scraped_at |
ISO 8601 timestamp of the scrape run |
Note: accreditation_status, accreditation_date_initial, and last_site_visit_date are behind the member login portal and are not publicly available in the public directory.
Input
| Field | Type | Default | Description |
|---|---|---|---|
maxItems |
integer | — | Maximum records to return. Leave blank for the full directory (~1,140). |
Usage
Run with default settings to get the full directory:
{}
Cap at 100 entries during testing:
{
"maxItems": 100
}
Who Uses This
- Pharma BD teams screening accredited CROs for animal study partnerships
- Animal welfare researchers tracking pharma and CRO accreditation footprints
- ESG / sustainability analysts monitoring animal-welfare compliance in investment targets
- Academic researchers cross-referencing institutional accreditation for grant applications
Notes
- A full run completes in under 30 seconds and returns ~1,140 records.
- Location parsing handles the directory's inconsistent address formats. Street-address entries (roughly 25 out of 1,140) may have sparse city/state/country fields — the raw location text is still captured in the
cityfield. - The directory updates continuously. Re-run to pick up additions.