Mayo Clinic Health Content Metadata API · Live

Pull live Mayo Clinic data
in the time it takes
to read this sentence.

Disease and condition profiles with reviewer attribution, drug and supplement monograph metadata, medical procedure descriptions, and clinical trials data across one of the world's most trusted academic medical centers — structured and delivered as clean JSON or CSV.

See a Live Response

Public content only no personal health data

<3s avg. response time

99.9% uptime SLA

50M+ requests / month served

GET /v1/mayoclinic/conditions

LIVE

// streaming a live condition metadata pull...

Why Choose Our Mayo Clinic API

Clinical AI runs on structured, attributable content from trusted academic sources — not just scraped text blobs.

A Mayo Clinic condition page blends clinical information with named medical reviewer attribution, editorial dates, and a structured condition taxonomy — the exact signals researchers and AI systems use to assess reliability. Our infrastructure resolves that structured metadata as explicit fields. We extract metadata and facts — we do not reproduce article text — and we never collect personal health information.

01

Zero blocking, zero maintenance

We run rotating residential IPs, headless rendering, and CAPTCHA-solving behind every request. When Mayo Clinic changes its layout, we patch our parsers — your integration never breaks.

02

Reviewer attribution & freshness resolution

We resolve the medical reviewer credential and last-updated date attached to condition content, so you can measure content freshness.

03

Change detection built in

SHA-256 content hashes let you detect when clinical guidance is updated without re-processing the entire corpus.

04

Built for scale from day one

From a 100-condition test batch to full corpus monitoring, the same endpoint scales with you.

Mayo Clinic API Features

Everything you need to keep Mayo Clinic data flowing.

⚡

Real-time extraction

Trigger an on-demand pull for any condition, drug, or procedure and get a fresh response — not a stale cache.

🧩

Custom field selection

Request only the fields you need — symptoms, causes, risk factors — to cut payload size and parsing time.

📝

Content structure extraction

Pull normalized section headings, topic structure, and content organization metadata for RAG and LLM pipelines.

🎓

Reviewer attribution

Return the medical reviewer name, credential, and review date for compliance and trust scoring.

🔗

Citation extraction

Extract outbound links, journal citations, and external references from content footers.

🔄

Change detection hashes

SHA-256 content hashes let you monitor when clinical guidance is updated without full re-processing.

What Data Can You Access?

Every public metadata field a page shows — attribution, structure, and citations included.

ConditionCondition name & IDPublic page identifier and display name

ConditionCategory & taxonomyCondition topic hierarchy and classification

ConditionSymptoms & causesStructured symptom and cause section headings

ConditionRisk factors & complicationsStructured risk and complication metadata

DrugDrug name & classGeneric and brand names with therapeutic class

DrugMonograph structureWhich sections exist: uses, side effects, interactions

ProcedureProcedure name & categoryProcedure taxonomy and classification

ProcedureWhy it's done & risksStructured procedure section metadata

AttributionMedical reviewer credentialReviewer name and credential shown on the page

DatesLast-updated dateContent freshness timestamp

CitationExternal referencesJournal citations and outbound links

ChangeContent hash (SHA-256)For detecting content changes between runs

Supported Mayo Clinic Categories

Conditions, drugs, procedures, and clinical trials — one integration.

Switch the category parameter to pull metadata from a specific content vertical with the same consistent response shape.

🩺

Diseases & Conditions

Condition profiles with symptoms and causes.

💊

Drugs & Supplements

Drug and supplement monograph metadata.

🔪

Tests & Procedures

Procedure descriptions and clinical guidance.

🔬

Clinical Trials

Trial listings with eligibility and location metadata.

CoverageGlobalEnglish-language content coverage

PolicyMetadata-onlyFacts and structure, not article reproduction

FreshnessReal-timeContent and attribution checked on every request

Mayo Clinic API Endpoints

A small set of endpoints that cover the whole content lifecycle.

Method	Endpoint	Description	Typical use
GET	/v1/mayoclinic/conditions	Condition profiles with symptoms, causes & reviewer	Medical knowledge base building
GET	/v1/mayoclinic/drugs	Drug and supplement monograph metadata	Pharmacy platform enrichment
GET	/v1/mayoclinic/procedures	Test and procedure descriptions by category	Clinical reference building
GET	/v1/mayoclinic/clinical-trials	Trial listings with eligibility & location	Research aggregation
GET	/v1/mayoclinic/citations	Citation networks and reference extraction	Academic research
POST	/v1/mayoclinic/bulk	Submit up to 10,000 content IDs per batch job	Full corpus monitoring

Live API Response Example

This is exactly what comes back. No extra parsing needed.

Popular Mayo Clinic API Use Cases

Built for the teams that live and die by Mayo Clinic data.

🤖

LLM training data

Generate structured medical content and condition databases for fine-tuning clinical language models.

📱

Health app development

Integrate symptom and condition data to build patient-facing triage and education apps.

🔬

Clinical research aggregation

Extract citation networks and reference links to track evidence behind clinical guidance.

📊

Content freshness auditing

Measure how recently clinical content was medically reviewed across conditions.

💊

Pharmacy platform enrichment

Map drug monographs, side effects, and interactions to enrich product catalogues.

🏥

Provider education tools

Build clinical reference tools with structured procedure and condition metadata.

📈

Medical trend monitoring

Track emerging conditions, treatment protocols, and clinical guidance changes over time.

🔄

Content change detection

Monitor articles for clinical updates and trigger alerts when guidance changes.

How the Mayo Clinic API Works

From API key to structured data in five steps.

1

Get your API key

Sign up and generate a key from your dashboard in under two minutes.

2

Choose an endpoint

Pick /conditions, /drugs, /procedures or /clinical-trials depending on what you need.

3

Send the request

Call the endpoint with a condition name, drug name, or procedure category.

4

We handle the hard part

Proxies, headless rendering, CAPTCHA-solving, and parsing all happen behind the scenes.

5

Receive structured data

Get clean JSON or CSV back in seconds, ready to drop into your pipeline.

Developer-Friendly Integration

Built by people who read the docs too.

One consistent JSON schema across every category and every endpoint. No SDK lock-in — plain REST calls work from any language or platform.

→

Predictable REST design

Standard HTTP verbs, query params, and status codes — nothing proprietary to learn.

→

JSON, CSV, or webhook delivery

Get results inline, as a downloadable file, or pushed to your endpoint when a batch job finishes.

→

Sandbox & test keys

Free sandbox environment with sample condition IDs so you can build before you pay.

→

Postman collection & SDK snippets

Import a ready-made collection or copy request snippets for Python, Node.js, and cURL.

Quickstart

API Performance & Reliability

Numbers we publish because we track them daily.

99.9%

Uptime SLA

<3s

Avg. response time

99.3%

Successful extraction rate

10K+

Concurrent requests supported

Security & Compliance

Clinical content needs clear boundaries — here's where ours sit.

🚫

No personal health data

We never collect patient data, symptom-checker inputs, appointment data, or any personal health information. Output is public page metadata only.

📄

Metadata, not republication

Responses return structured facts such as taxonomy, dates, and citation links — not full article text. Clinical content is copyrighted, and responses are not a substitute for the source.

⚕️

Informational use only

Returned data is not medical advice, and clinical decisions should never be built directly on scraped listings. We recommend legal and clinical review of any health-facing product.

✓ISO 9001:2015 Certified ✓ISO/IEC 27001:2013 Certified ✓IAF Multilateral Recognition ✓GDPR-aligned workflows

API Documentation & Resources

Everything to go from key to production.

Guide

Quickstart Guide

Get your first API response back in under five minutes.

Read guide →

Reference

Full API Reference

Every endpoint, parameter, and response field documented in detail.

View reference →

Tool

Postman Collection

Import ready-made requests for every Mayo Clinic API endpoint.

Download →

Code

SDKs & Code Samples

Python, Node.js, PHP, and Ruby snippets for every use case.

Browse samples →

Frequently Asked Questions

Still deciding? Here's what most teams ask first.

We collect only publicly accessible page metadata using automated tools, following publicly available web-data guidelines. Mayo Clinic content is copyrighted, so we return structured facts rather than article text. We recommend reviewing your own use case with legal counsel, especially for redistribution.

No. We never collect patient identities, appointment data, symptom-checker inputs, or any personal health information. Responses contain only public condition, drug, and procedure metadata.

Every request to /conditions and /drugs triggers a live pull — you're not reading from a stale cache. Clinical content is updated periodically, so we timestamp each response and provide SHA-256 hashes for change detection. Bulk jobs complete within minutes depending on batch size.

Yes — /conditions returns the reviewer name and credential and the last-updated date as displayed, which makes it straightforward to audit content freshness at scale.

Our infrastructure retries automatically across a rotating proxy pool. You're only billed for successfully returned responses.

Yes, every account starts with a free sandbox key and sample credits so you can test all endpoints before committing to a plan.

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Pull live Mayo Clinic data
in the time it takes
to read this sentence.