Shanghai GRAS Subject Rankings Scraper
Pricing
from $5.43 / 1,000 results
Shanghai GRAS Subject Rankings Scraper
Pull the Shanghai Ranking Global Ranking of Academic Subjects by year or subject. Each row returns the subject, rank, institution, country, total score, top publications, and awards. Built for academic benchmarking and university research across academic disciplines.
Pricing
from $5.43 / 1,000 results
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0.0
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ParseForge
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0
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2
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1
Monthly active users
6 days ago
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🎓 Shanghai Ranking GRAS Subject Rankings Scraper
🚀 Pull the Shanghai Ranking Global Ranking of Academic Subjects in seconds. Subject, rank, institution, country, total score, Q1 publications, and awards.
The Shanghai Ranking GRAS Subject Rankings Scraper turns the public shanghairanking.com data surface into a clean, structured dataset ready for analytics, BI, and downstream automation. It calls the public endpoints, normalizes the response, and flattens each record into one row.
This actor is read-only and uses only publicly available data. No login is required.
| 🎯 Target Audience | 💡 Primary Use Cases |
|---|---|
| 📊 Analysts | Build datasets for analytics and reports |
| 🏢 Operations teams | Pipe records into BI dashboards |
| 🎓 Researchers | Mirror data into local analysis tools |
| 🤖 ML engineers | Generate training sets without writing client code |
| 📰 Journalists | Verify facts quickly with structured output |
| 👩💻 Developers | Skip the boilerplate of building a custom client |
📋 What the Shanghai Ranking GRAS Subject Rankings Scraper does
- Calls the public shanghairanking.com endpoints with the filters you supply.
- Parses the response and flattens each record into a flat row.
- Cleans verbose source keys into stable snake or camelCase names.
- Surfaces upstream errors as a single-row error record instead of crashing.
- Exports tabular output in every format the Apify dataset supports.
💡 Why it matters: shanghairanking.com exposes valuable public data, but pulling it into a spreadsheet or warehouse usually means writing client code, managing pagination, and parsing nested responses. This actor wraps all of that.
📊 Data fields
Each record includes: country, indicators, institution, rank, scrapedAt, subject, subjectCode, totalScore, url, year. All 10 field names come from a real production run, so what you see here is what lands in your dataset.
⚠️ Good to Know. Free users are auto-limited to 10 records per run. Paid users can pull up to 1,000,000.
🚀 How to use
- Click Try for free.
- Pick filters or leave defaults.
- Click Start. Within seconds, your dataset is ready.
- Download or pipe to your warehouse.
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Disclaimer. This actor scrapes only publicly available data. ParseForge is not affiliated with, endorsed by, or sponsored by any of the third party services referenced. Users are responsible for complying with the target site terms of service and applicable law. Create a free account w/ $5 credit.
🆘 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.
