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🏢 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.

🕒 Last updated: 2026-04-23 · 📊 30 fields · 🌍 100,000+ organizations · 🔍 Name search and URL-based collection

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.

📋 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• 🏷️ Status filtering to show active, inactive, or withdrawn organizations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.

🎬 Full Demo

🚧 Coming soon...

⚙️ Input

Example 1: Search with URL

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

Example 2: Search with filters

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

⚠️ 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.

📊 Output

🧾 Schema

📦 Sample records

✨ Why choose this Actor

📊 Collect up to 1,000,000 research organization profiles per run with full identifiers, geolocation, and relationship data.

📈 How it compares to alternatives

Get structured organization data at scale without writing API code or managing pagination.

🚀 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.

💼 Business use cases

🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity
• 🅒 Copilot

❓ Frequently Asked Questions

🔌 Automating ROR Scraper

Integrate the ROR Scraper into your workflow using the Apify API or client libraries.

Node.js:

import{ ApifyClient }from'apify-client';
const client =newApifyClient({token:'YOUR_API_TOKEN'});
const run =await client.actor("parseforge/ror-scraper").call({
query:"university",
recordStatus:"active",
maxItems:100
});
const{ items }=await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python:

from apify_client import ApifyClient
client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("parseforge/ror-scraper").call(run_input={
"query":"university",
"recordStatus":"active",
"maxItems":100
})
items =list(client.dataset(run["defaultDatasetId"]).iterate_items())
print(items)

• 📖 Apify API reference
• 🐍 Python client docs
• 📦 Node.js client docs

Schedules: Set up recurring runs to track new organizations added to ROR, monitor status changes, or keep your institution database synchronized. Configure weekly or monthly schedules from the Apify Console.

🔌 Integrate with any app

• 🔗 Make (Integromat) - Connect organization data to Google Sheets, Salesforce, or any of 1,500+ apps
• 🔗 Zapier - Trigger workflows when new organizations are collected
• 🔗 Slack - Get notified when an organization data run completes
• 🔗 Airbyte - Stream organization data into your data warehouse
• 🔗 GitHub - Store organization datasets in repositories for version control
• 🔗 Google Drive - Automatically save CSV exports to shared folders

🔗 Recommended Actors

💡 Pro Tip: Combine the ROR Scraper with the Crossref Scraper to match organization identifiers with publication metadata and analyze institutional research output.

🆘 Need Help? Open our contact form and we will get back to you within 24 hours. We are happy to help with custom setups, integrations, or feature requests.

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.