📈 Disease Ontology Terms Scraper

🚀 Scrape Disease Ontology terms including DOID, name, synonyms, definition, parents, children, cross-references, and deprecation status.

🕒 Last updated 2026-07-17 · 📊 9 fields per record · no API key needed

Every record is mapped to a consistent schema - doid, name, synonyms, definition, parents, children and more, so you can filter, join and export without any glue code. No account or API key required to try it.

🎯 Target Audience	💡 Primary Use Cases
Analysts, developers, researchers and operators who need this data as clean rows	Data collection, enrichment, monitoring, and feeding apps, sheets or models

📋 What the Disease Ontology Terms Scraper does

• Collects the records you ask for as clean, structured rows
• Returns 9 fields per record including doid, name, synonyms, definition, parents, children
• Consistent, flat schema - ready for a spreadsheet, database or app
• Exports to CSV, Excel, JSON, or XML

💡 Why it matters: the raw source returns nested, paged responses. This Actor flattens them into one clean row per record, so the data drops straight into your workflow.

🎬 Full Demo (🚧 Coming soon)

⚙️ Input

Field	Type	Description
searchTerm	string	Disease keyword (e.g. 'leukemia') or specific DOID (e.g. DOID:1240). e.g. leukemia.
maxItems	integer	Cap on the number of results. Free: 10. Paid: up to 1,000,000.
includeDeprecated	boolean	If false, deprecated terms are skipped.

{"searchTerm":"leukemia","maxItems":25}

📊 Output

Each item is one record with 9 fields:

Field	Type	Description
doid	string	DOID
name	string	Name
synonyms	string	Synonyms
definition	string	Definition
parents	string	Parents
children	string	Children
xrefs	string	Cross-refs
deprecated	boolean	Deprecated
scrapedAt	string	Scraped At

✨ Why choose this Actor

• Clean, flat schema - ready to use
• No API key or account needed
• Export to CSV, Excel, JSON, or XML
• Pay-per-event billing - only pay for records returned

🚀 How to use

1. Create a free account w/ $5 credit
2. Open the Actor on Apify Console
3. Fill in the input fields
4. Click Start
5. Download the results as CSV, Excel, JSON, or XML

💼 Use cases

Research and analysis - study the data at scale in your own tools.

Enrichment - add structured records to a database, sheet or app.

Monitoring - track changes over time with scheduled runs.

Datasets - build clean datasets for reporting, dashboards or models.

🔌 Automating Disease Ontology Terms Scraper

Trigger the Actor via Make, Zapier, Slack, Airbyte, GitHub Actions, Google Drive, n8n or any HTTP webhook on Apify's integration platform.

🤖 Ask an AI assistant about this scraper

Paste this README into ChatGPT, Claude, Perplexity or Copilot and ask how to integrate the data into your workflow.

❓ Frequently Asked Questions

❓ Do I need an API key? No - just set the input and run.

❓ Free users? Capped at 10 items per run - perfect for testing.

❓ What output formats? CSV, Excel, JSON, or XML - pick on the Storage tab.

❓ Is the data live? Yes - fetched at run time from www.disease-ontology.org.

❓ Can I schedule it? Yes - use Apify's scheduler or any webhook integration.

🔌 Integrate with any app

Apify provides webhooks, REST API, scheduled runs, dataset downloads, and integrations with Make, Zapier, n8n, Slack, Google Drive, Airbyte, GitHub Actions, and more.

💡 Pro Tip: browse the complete ParseForge collection for more scrapers and all-in-one combos.

🆘 Need Help? Open our contact form

⚠️ Disclaimer: independent tool, not affiliated with any data source named above. Only publicly available data is collected.