University Ranking Scraper
Pricing
Pay per usage
University Ranking Scraper
Pricing
Pay per usage
Rating
0.0
(0)
Developer
Donny Nguyen
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
2 days ago
Last modified
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Overview
The University Ranking Scraper is an Apify actor that collects world university ranking data from multiple authoritative sources including QS World Rankings, Times Higher Education, and US News Global Rankings. It extracts rank positions, overall scores, and quality metrics for universities worldwide. This tool is essential for education consultants, university marketing teams, and researchers analyzing higher education trends.
Features
- Scrape rankings from multiple sources (QS, THE, US News)
- Filter results by country for regional analysis
- Extract overall scores and ranking positions
- Get research, teaching, and citations metrics
- Compare rankings across different sources
- Configurable result limits per source
Input Parameters
| Parameter | Type | Description | Default |
|---|---|---|---|
sources | Array | Ranking sources to scrape | ["qs", "times-higher-education", "us-news"] |
country | String | Country name filter (empty for all) | "" |
maxResults | Integer | Maximum results per source | 200 |
Output Format
Each result in the dataset contains the following fields:
rank- University ranking positionuniversityName- University namecountry- Country locationoverallScore- Overall ranking scoresource- Ranking source nameresearchScore- Research quality metricteachingScore- Teaching quality metriccitationsScore- Citations impact metricurl- Source URL for the ranking
Usage
The actor works with empty input {} using sensible defaults. Choose ranking sources and optionally filter by country. Launch from the Apify Console or integrate with the Apify API.
Integrations
Connect with the Apify ecosystem for automated ranking monitoring. Export to Google Sheets, set up webhook notifications, or use Zapier and Make for cross-platform workflows. JSON output works with Excel, databases, and BI tools.
Cost and Performance
Runs complete within 30-120 seconds depending on sources selected. Priced at $0.75 per 1,000 results on a pay-per-event basis. Memory: 256 MB minimum, 4096 MB maximum.
