OpenAlex Institutions Scraper
Pricing
from $19.00 / 1,000 results
OpenAlex Institutions Scraper
Gather structured records from Openalex Institutions with names, identifiers, dates, descriptions, status flags and source links. Loved by research, intelligence and operational dashboards. Run on demand or on a recurring schedule and feed every row into your favourite analytics or workflow stack.
Pricing
from $19.00 / 1,000 results
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ParseForge
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5 days ago
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🎓 OpenAlex Institutions Scraper
🚀 Pull 124,000+ research institutions in seconds. Universities, hospitals, companies, government labs, archives and facilities from the OpenAlex scholarly graph, with citation counts, ROR identifiers, geo coordinates and homepage URLs.
OpenAlex is the open replacement for Microsoft Academic Graph, indexing every research institution on Earth with citation analytics and rich metadata. This scraper turns the institutions endpoint into a clean dataset you can pull into spreadsheet, Power BI, Tableau or your own database - no API key, no rate-limit headaches, no scraping HTML.
Every record is normalised to a ROR identifier and tagged with country, type, works count, h-index, i10 index and full geo data. Filter by country code, institution type or any keyword search, and stream as many as a million records into your downstream pipeline.
| 🎯 Target Audience | 💡 Primary Use Cases |
|---|---|
| Academic researchers | Build a directory of universities and labs in a country |
| Research intelligence teams | Benchmark institutional output and citation impact |
| Grant funders | Identify and segment partner research bodies |
| EdTech and SaaS sales | Source TAM lists of higher-ed and healthcare institutions |
| Data scientists | Enrich author and paper data with institutional metadata |
📋 What the OpenAlex Institutions Scraper does
- Streams institution records from the official OpenAlex
/institutionsendpoint - Supports full-text
search, ISO country code filter and institutiontypefilter - Returns normalised metadata: works count, citations, h-index, i10 index, ROR, GRID, Wikipedia, Wikidata
- Adds geo data: city, region, country, latitude and longitude
- No login, no API key, no usage quotas
💡 Why it matters: institutional metadata is the bedrock of every research analytics, TAM-building and academic partnership workflow. OpenAlex is the most complete open source, and this actor delivers it in the records your stack already understands.
📊 Data fields
Each record includes: citedByCount, countryCode, displayName, homepageUrl, results, rorUrl, scrapedAt, sourceUrl, type, worksCount. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.
⚠️ Good to Know: OpenAlex caps
per-pageat 200 records and uses cursor pagination. The actor handles cursors transparently — you only setmaxItems.
🚀 How to use
- Create a free Apify account (includes $5 credit).
- Open the OpenAlex Institutions Scraper.
- Set
search,countryortypefilters. - Click Start and retrieves tabular / spreadsheet / structured / structured.
- Schedule daily, weekly or trigger from Make / Zapier.
🔗 Recommended Actors
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| FINRA BrokerCheck Scraper | Broker disclosure records |
💡 Pro Tip: browse the complete ParseForge collection for more research and business data scrapers.
⚠️ Disclaimer: independent tool, not affiliated with OpenAlex. Only publicly available open data is collected.
🆘 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.
For faster answers, join our Discord. It's the best place to get support and suggest new actors.
