🏢 ROR Scraper

Collect comprehensive research organization data from the Research Organization Registry without coding. Download organization names, addresses, types, external IDs, locations, relationships, and metadata as CSV, Excel, or JSON. Perfect for academic researchers building a ROR database, grant administrators verifying institutions, librarians cross-referencing organization identifiers, or anyone needing an ROR data extractor without manual work.

The ROR Scraper collects complete research organization profiles from ROR.org in minutes, up to 1,000,000 organizations per run, with zero coding required.

✨ What Does It Do

• 🏢 Organization Name - Get official names, aliases, and multilingual labels for worldwide institutions
• 📍 Location Data - Access precise geolocation coordinates, country codes, city information, and GeoNames integration
• 🏷️ Organization Types - Identify institution classifications like education, funder, healthcare, or government
• 🔗 External IDs - Collect GRID ID, Wikidata ID, FundRef ID, and ISNI identifiers for database cross-referencing
• 🌐 Website Links - Capture official URLs, Wikipedia pages, and related website information
• 👥 Relationships - Map related organizations, parent institutions, and collaboration networks
• 📅 Administrative Data - Track establishment dates, creation dates, modification history, and record status

🎬 Demo Video

🔧 Input

• startUrl - Paste a direct ROR search URL to collect organizations from that result set. Example: https://ror.org/search?query=university&filter=active&page=1
• query - Search term to find organizations by name or keyword. Examples: "university", "research institute"
• recordStatus - Filter by status: Active, Inactive, or Withdrawn
• maxItems - Maximum number of organizations to collect, from 50 for free users to 1,000,000 for paid users

Example input configuration using a direct URL:

{
  "startUrl": "https://ror.org/search?query=university&filter=active&page=1",
  "maxItems": 50
}

Or using search filters:

{
  "query": "research institute",
  "recordStatus": "active",
  "maxItems": 100
}

📊 Output

Each organization includes up to 30 data fields. Download as JSON, CSV, or Excel.

🏢 ROR ID	📝 Organization Name	🏷️ Organization Types
🌐 Website URL	📅 Established Year	✅ Record Status
📍 Country Name	🌍 Country Code	📍 State or Province
🏙️ City	📊 Geonames ID	📍 Latitude
📍 Longitude	📝 Aliases	🏷️ Acronyms
🔗 GRID ID	🔗 Wikidata ID	🔗 FundRef ID
👤 ISNI IDs	🌐 Wikipedia Link	🔗 Related Organizations
👥 Relationship Type	📅 Created Date	📅 Last Modified Date
📄 Schema Version	🔐 Record Source	🌐 External Links
🎯 Multilingual Labels	📋 Domains	⏰ Scraped Timestamp

💎 Why Choose the ROR Scraper?

Feature	ROR Scraper	Similar Tools
Collects all ROR organization fields	✔️	❌
Direct URL input support	✔️	❌
Search filter support	✔️	❌
External ID collection (GRID, Wikidata, ISNI)	✔️	❌
Organization relationship mapping	✔️	❌
Multilingual organization names	✔️	❌
Geolocation data with coordinates	✔️	❌
Free tier allows up to 50 organizations	✔️	❌
Paid tier allows up to 1,000,000 organizations	✔️	❌
CSV, Excel, JSON export	✔️	✔️
No coding required	✔️	✔️
Real-time data from official ROR source	✔️	❌

📋 How to Use

No technical skills required. Follow these simple steps:

1. Sign Up: Create a free account with $5 credit
2. Find the Tool: Search for "ROR Scraper" in the Apify Store and configure your input
3. Run It: Click "Start" and watch your results appear

That's it. No coding, no setup, no complicated configuration. Now you can export your data in CSV, Excel, or JSON format.

🎯 Business Use Cases

• 📊 Academic Researchers - Build comprehensive research institution databases to discover new research partners and collaboration opportunities
• 🏛️ Grant Administrators - Verify organization information for grant applications and keep grantee records current
• 📚 Librarians and Information Professionals - Maintain current directories and cross-reference identifiers for research support

❓ FAQ

🔍 How does it work? The scraper connects to ROR's official data and automatically collects complete organization profiles. You provide a search URL or filters, and it handles everything else.

📊 Is the data accurate? Yes, all data comes directly from the Research Organization Registry, the official and continuously updated source for research organization information.

📅 Can I schedule regular runs? Yes, you can use Apify's scheduler to collect organization data on a regular basis and keep your databases current automatically.

⚖️ Is it legal to scrape ROR? Yes, ROR data is publicly available and designed to be accessed. You are responsible for complying with ROR's terms of service and local data laws.

🛡️ Will ROR block me? No, ROR is designed for data access and research use. The scraper respects the service and does not overload their systems.

⚡ How long does a run take? Collecting 50 organizations typically takes 2-5 minutes. Larger runs depend on your filter complexity, but you can collect thousands of records in under an hour.

⚠️ Are there any limits? Free users can collect up to 50 organizations per run. Paid users can collect up to 1,000,000 organizations per run.

🔗 Integrate ROR Scraper with any app

• Make - Automate workflows
• Zapier - Connect 5000+ apps
• GitHub - Version control integration
• Slack - Get notifications
• Airbyte - Data pipelines
• Google Drive - Export to spreadsheets

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Browse our complete collection of data extraction tools for more.

🚀 Ready to Start?

Create a free account with $5 credit and collect your first 50 organizations for free. No coding, no setup.

🆘 Need Help?

• Check the FAQ section above for common questions
• Visit the Apify support page for documentation and tutorials
• Contact us to request a new scraper, propose a custom project, or report an issue at Tally contact form

⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Research Organization Registry (ROR) or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.