🏢 ROR Scraper

🚀 Extract research organization data from the Research Organization Registry in seconds. Search by name, filter by status, and collect identifiers. No coding, no API keys required.

The Research Organization Registry (ROR) is the global, community-led registry of research organizations, containing over 100,000 entries covering universities, research institutes, government agencies, healthcare organizations, and funders worldwide. This scraper collects full organization profiles including names, aliases, acronyms, locations (with GPS coordinates), types, external identifiers (GRID, Wikidata, FundRef, ISNI), relationships, establishment dates, and administrative metadata.

Researchers, librarians, grant administrators, and data analysts use this actor to build organization databases, verify institution identifiers, map research networks, and cross-reference organizations across multiple identifier systems. Instead of querying the ROR API manually, you get clean, structured data for up to 1,000,000 organizations per run for paid users. Every record includes the full name, all aliases and acronyms, precise geolocation, country information, organization type, all external IDs, related organizations, and creation/modification timestamps. The data exports as JSON, CSV, or Excel.

🎯 Target Audience	💡 Use Cases
University librarians	Build institution directories with verified identifiers
Grant administrators	Verify organization credentials for funding applications
Bibliometric analysts	Map institutional research networks
Data scientists	Cross-reference organization IDs across databases
Research managers	Track institutional relationships and hierarchies
System integrators	Populate CRM and ERP systems with organization data

📋 What the ROR Scraper does

• 🔍 Name search to find organizations by name, keyword, or partial match
• 🔗 URL-based collection from any ROR search results page
• 🏷️ Status filtering to show active, inactive, or withdrawn organizations
• 🆔 Multi-identifier extraction for GRID, Wikidata, FundRef, and ISNI
• 📍 Geolocation data with latitude, longitude, city, state, and country
• 👥 Relationship mapping to identify parent, child, and related organizations

The scraper queries the ROR API or website with your search parameters, retrieves matching organization records, and extracts full profiles. Results include the ROR ID, official name, all aliases and acronyms, organization types, website URLs, Wikipedia links, establishment year, GPS coordinates, country and city information, GeoNames ID, all external identifiers (GRID, Wikidata, FundRef, ISNI), related organizations with relationship types, and administrative metadata.

💡 Why it matters: ROR is becoming the standard identifier for research organizations, but collecting data at scale requires API programming. This scraper automates collection and delivers structured organization profiles ready for institutional databases, grant systems, or bibliometric analysis.

📊 Data fields

Each record includes: acronyms, aliases, createdDate, createdSchemaVersion, domains, established, fundRefId, gridId, isniIds, labels, lastModifiedDate, lastModifiedSchemaVersion, links, locations, name, relationships, rorId, scrapedTimestamp, status, types, url, websiteUrl, wikidataId. All 23 field names come from a real production run, so what you see here is what lands in your dataset.

⚠️ Good to Know: Use either a Start URL or search filters, not both. If you provide a Start URL, search filters are ignored. The "active" status filter excludes organizations that have been merged, closed, or withdrawn from the registry.

🚀 How to use

1. Create an Apify account - Sign up free with $5 credit
2. Open the ROR Scraper - Navigate to the actor page on Apify
3. Enter a search query or URL - Type an organization name or paste a ROR search URL
4. Set optional filters - Filter by record status (active, inactive, withdrawn)
5. Click Start - The actor collects matching organizations and delivers structured data

⏱️ A typical run with 50 organizations completes in under 1 minute.

🔗 Recommended Actors

Actor	Description
Crossref Scraper	Extract DOI metadata for 155M+ research publications
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💡 Pro Tip: Combine the ROR Scraper with the Crossref Scraper to match organization identifiers with publication metadata and analyze institutional research output.

Disclaimer: This actor is not affiliated with, endorsed by, or connected to the Research Organization Registry (ROR) or its governing organizations. It accesses publicly available data from the ROR registry. Use responsibly and in accordance with applicable terms of service.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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