ROR (Research Organization Registry) Scraper

🚀 Supercharge your research organization data collection with our comprehensive ROR Scraper! Automate collection of detailed organization information including names, aliases, locations, external identifiers (GRID, ISNI, Wikidata), relationships, and contact details from the Research Organization Registry. Get complete organizational profiles, affiliations, and metadata without manual work. Perfect for researchers, academic institutions, and data analysts who need accurate, up to date organization intelligence.

Target Audience: Researchers, academic institutions, librarians, data analysts, research companies, grant administrators, bibliometric researchers
Primary Use Cases: Research database building, organization mapping, grant administration, bibliometric analysis, academic network analysis, research collaboration tracking

What Does ROR Scraper Do?

This tool collects comprehensive research organization data from the Research Organization Registry (ROR), supporting both search based queries and direct URL scraping. It delivers:

• Complete organization identification (ROR ID, name, status, URL)
• Organization types and classifications (education, funder, healthcare, etc.)
• Location information with geolocation coordinates and GeoNames integration
• External identifiers (GRID ID, Wikidata ID, FundRef ID, ISNI IDs)
• Names and labels (primary name, aliases, acronyms, multilingual labels)
• Links and relationships (website URLs, Wikipedia links, related organizations)
• Administrative metadata (establishment year, domains, creation dates)
• And more

Business Value: Build comprehensive research organization databases, track academic networks, identify collaboration opportunities, manage grant administration, and analyze research institution relationships with up to date data from the world's largest research organization registry.

Input

To start ROR web scraping, you can use either direct URLs or search filters. The scraper supports two input methods:

Method 1: Direct URL (Recommended)

• startUrl - Direct ROR search page URL to scrape from. Example: https://ror.org/search?query=university&filter=active&page=1

How to Get Your Start URL:

1. Go to ror.org
2. Use the search function to find organizations you want
3. Apply any filters (active, inactive, withdrawn) if needed
4. Copy the complete URL from your browser's address bar
5. Paste it as your startUrl input

Method 2: Search Filters

• query - Search term to filter organizations by name or keywords. Example: "university", "research institute"
• recordStatus - Filter organizations by record status. Options: Active, Inactive, Withdrawn

Common Settings:

• maxItems - Maximum number of organizations to collect (up to 1,000,000). Free users: Required, maximum 50. Paid users: Optional, maximum 1,000,000. Leave empty for unlimited (paid users only). Prefill: 10

Important: You can use startUrl OR search filters (query and recordStatus), but not both. The maxItems field is independent and optional for both approaches.

Here's what the input configuration looks like in JSON:

Using Direct URL:

{
    "startUrl": "https://ror.org/search?query=university&filter=active&page=1",
    "maxItems": 10
}

Using Search Filters:

{
    "query": "university",
    "recordStatus": "active",
    "maxItems": 10
}

Pro Tip: 💡 Use direct URLs for maximum flexibility, just copy the URL from ROR after you've set up your desired search and filters on their website.

Output

After the Actor finishes its run, you'll get a dataset with the output. The length of the dataset depends on the amount of results you've set. You can download those results as an Excel, HTML, XML, JSON, and CSV document.

Here's an example of scraped ROR data you'll get if you decide to scrape organization listings:

{
    "rorId": "ror.org/024yc3q36",
    "name": "Tottori University",
    "status": "active",
    "url": "https://ror.org/024yc3q36",
    "types": ["education", "funder"],
    "established": 1949,
    "websiteUrl": "http://www.tottori-u.ac.jp/english/",
    "domains": [],
    "fundRefId": "501100005695",
    "gridId": "grid.265107.7",
    "isniIds": ["0000 0001 0663 5064"],
    "wikidataId": "Q1148210",
    "locations": [
        {
            "geonamesId": 1849892,
            "geonamesUrl": "https://www.geonames.org/1849892/tottori-shi.html",
            "name": "Tottori-shi",
            "lat": 35.5,
            "lng": 134.23333,
            "countryCode": "JP",
            "countryName": "Japan",
            "stateCode": "31",
            "stateName": "Tottori",
            "continentCode": "AS",
            "continentName": "Asia"
        }
    ],
    "aliases": [
        "National University Corporation Tottori University",
        "Tottori Daigaku"
    ],
    "acronyms": [],
    "labels": [
        {
            "language": "ja",
            "label": "鳥取大学"
        }
    ],
    "links": [
        {
            "type": "website",
            "value": "http://www.tottori-u.ac.jp/english/"
        },
        {
            "type": "wikipedia",
            "value": "http://en.wikipedia.org/wiki/Tottori_University"
        }
    ],
    "relationships": [
        {
            "type": "related",
            "id": "https://ror.org/03wa1wy25",
            "label": "Tottori University Hospital"
        }
    ],
    "createdDate": "2018-11-14",
    "createdSchemaVersion": "1.0",
    "lastModifiedDate": "2024-12-11",
    "lastModifiedSchemaVersion": "2.1",
    "scrapedTimestamp": "2025-12-01T14:51:43.169Z"
}

What You Get: Complete organization profiles with identification, location data, external identifiers for cross referencing, relationship mapping for network analysis, and multilingual support for global research organizations.

Download Options: CSV, Excel, or JSON formats for easy analysis and integration with research databases.

Why Choose the ROR Scraper?

• Comprehensive Data Collection: Get complete organization profiles with all available metadata in one automated process
• External Identifier Integration: Access GRID, Wikidata, FundRef, and ISNI IDs for cross referencing with other research databases
• Relationship Mapping: Identify related organizations, parent institutions, and collaboration networks automatically
• Multilingual Support: Collect organization names and labels in multiple languages for global research coverage
• Location Intelligence: Get precise geolocation data with GeoNames integration for geographic analysis
• Time Savings: Automate hours of manual data collection and organization research into minutes
• Efficiency: Collect data from thousands of organizations in a fraction of manual research time
• Up to Date Information: Access the latest organization data from ROR's continuously updated registry
• Scalable: Process unlimited organizations (paid users) or up to 50 (free users) per run

Time Savings: Save hours of manual research per organization. Process hundreds of organizations in minutes instead of days.

Efficiency: Collect comprehensive organization data at scale, perfect for building research databases, mapping academic networks, and tracking institutional relationships.

How to Use

1. Sign Up: Create a free account w/ $5 credit (takes 2 minutes)
2. Find the Scraper: Visit the ROR Scraper page
3. Set Input: Add your search query or start URL (we'll show you exactly what to enter)
4. Run It: Click "Start" and let it collect your data
5. Download Data: Get your results in the "Dataset" tab as CSV, Excel, or JSON

Total Time: Less than 5 minutes from sign up to downloaded data
No Technical Skills Required: Everything is point and click

Business Use Cases

Academic Researchers:

• Build comprehensive databases of research institutions
• Map academic collaboration networks
• Identify potential research partners
• Track institutional affiliations

Librarians and Information Professionals:

• Maintain up to date organization directories
• Cross reference organization identifiers
• Support bibliometric research
• Manage institutional metadata

Grant Administrators:

• Verify organization information for grant applications
• Track funding relationships
• Identify eligible institutions
• Maintain grantee databases

Data Analysts:

• Build research organization datasets
• Analyze academic networks
• Track institutional changes over time
• Support bibliometric analysis

Research Companies:

• Identify research institutions by location or type
• Map research ecosystems
• Track institutional relationships
• Support market research

Frequently Asked Questions

Q: How does it work?
A: ROR Scraper is easy to use and requires no technical knowledge. Simply configure your search parameters or provide a direct URL and let the tool collect the data automatically.

Q: How accurate is the data?
A: The scraper collects data directly from ROR's official API, ensuring accuracy and reliability. All data comes from the Research Organization Registry's continuously updated database.

Q: Can I schedule regular runs?
A: Yes, you can use the Apify API to schedule regular data collection runs and keep your organization databases up to date automatically.

Q: What if I need help?
A: Our support team is here to help you get the most out of this tool. Contact us through the Apify platform for assistance.

Q: Is my data secure?
A: Yes, all data collection runs are private and secure. Your data is only accessible to you and is stored securely on Apify's platform.

Q: Can I filter by organization type or location?
A: Yes, you can use ROR's search interface to filter by organization type, location, or status, then copy the URL as your startUrl input.

Q: How many organizations can I collect?
A: Free users can collect up to 50 organizations per run. Paid users can collect up to 1,000,000 organizations per run, or leave maxItems empty for unlimited collection.

Integrate ROR Scraper with any app and automate your workflow

Last but not least, ROR Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform.

These includes:

• Make
• Zapier
• Slack
• Airbyte
• GitHub
• Google Drive
• and much more.

Alternatively, you can use webhooks to carry out an action whenever an event occurs, e.g. get a notification whenever ROR Scraper successfully finishes a run.

🔗 Recommended Actors

Looking for more data collection tools? Check out these related actors:

Actor	Description	Link
GSA eLibrary Scraper	Collects government publication and document data from GSA eLibrary	https://apify.com/parseforge/gsa-elibrary-scraper
Hugging Face Model Scraper	Extracts AI model and research data from Hugging Face platform	https://apify.com/parseforge/hugging-face-model-scraper
Pitchbook Funds Scraper	Collects investment fund data and research from PitchBook	https://apify.com/parseforge/pitchbook-funds-scraper
Pitchbook Investors Scraper	Extracts investor and funding data from PitchBook	https://apify.com/parseforge/pitchbook-investors-scraper
Greatschools Scraper	Collects school information and ratings data	https://apify.com/parseforge/greatschools-scraper

Pro Tip: 💡 Browse our complete collection of data collection actors to find the perfect tool for your business needs.

Need Help? Our support team is here to help you get the most out of this tool.

---

⚠️ 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.