# EduRank Scraper — 14,000 University Rankings (`morkerr/edurank-scraper`) Actor

Scrape 14,000+ university rankings from EduRank.org — world/subject rankings, research metrics, prominence, and alumni scores across 183 countries.

- **URL**: https://apify.com/morkerr/edurank-scraper.md
- **Developed by:** [morkerr](https://apify.com/morkerr) (community)
- **Categories:** Developer tools, Lead generation
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.99 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## EduRank Scraper — 14,000 University Rankings

Scrape the complete [EduRank.org](https://edurank.org) university rankings directory — over 14,000 institutions across 183 countries. Get world/subject rankings, research metrics, prominence scores, alumni impact, acceptance rates, and institutional profiles.

***

### Key Features

- **Full directory coverage** — 14,000+ universities across 183 countries
- **World, continent, country, state, and city ranks** with denominators (rank out of N)
- **Subject rankings** — 246+ research topics across 14 major academic fields
- **Branch/subfield filter** — Narrow listings to specific branches within a topic (e.g., Biology > Microbiology)
- **Multiple branches per run** — Multi-select supports several subfields simultaneously
- **Research metrics** — Total publications and citations per university
- **Impact metrics** — Non-academic prominence rank, alumni impact rank, notable alumni count
- **Configurable data sections** — Choose which data to scrape per run:
  - Research Profile & Rankings (ranks, publications, citations, subjects)
  - Acceptance Rate & Admissions (acceptance rate, enrollment, student-faculty ratio)
  - General Information (motto, founded year, accreditation, type, funding)
  - Programs & Degrees (tuition costs)
- **Flexible country selection** — Single country dropdown + additional countries text field
- **Custom URLs** — Paste specific EduRank university or listing URLs
- **Auto-discovery** — Discovers all countries from the homepage when none selected
- **Quick test mode** — Scrapes 1 university from Vatican City with no input
- **Configurable** — Max concurrency, max universities per country, proxy settings

***

### Input Fields Reference

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `country` | select | — All Countries — | Primary country to scrape |
| `additionalCountries` | stringList | \[] | Extra country ISO codes (e.g. `us`, `gb`, `de`) |
| `startUrls` | stringList | \[] | Specific EduRank URLs to scrape |
| `branch-{topic}` | array | \[] | **Branch/subfield filter** — multi-select per topic (e.g., `branch-biology` for Biology). Only one topic's branches active per run |
| `dataSections` | array | `["research", "admissions", "general"]` | Which data sections to scrape per university |
| `includeSubjectRankings` | boolean | true | Include subject-level rankings (246+ topics) per university |
| `maxPerCountry` | integer | 0 | Max universities per country (0 = no limit) |
| `maxConcurrency` | integer | 10 | Parallel request count (1–50) |
| `proxyConfiguration` | proxy | Apify proxy | Proxy settings |

#### Country Codes

Use ISO 3166-1 alpha-2 country codes. Examples: `us` (United States), `gb` (United Kingdom), `de` (Germany), `fr` (France), `jp` (Japan), `cn` (China), `in` (India), `au` (Australia), `br` (Brazil).

#### URL Patterns

The scraper recognizes these URL patterns:

- **University rankings page**: `https://edurank.org/uni/university-of-oxford/rankings/`
- **University summary page**: `https://edurank.org/uni/university-of-oxford/`
- **Country listing**: `https://edurank.org/geo/us/`
- **Topic listing**: `https://edurank.org/biology/us/`
- **Branch listing**: `https://edurank.org/biology/microbiology/us/`
- **Continent listing**: `https://edurank.org/geo/na/`

#### Branch/Subfield Filter

The **Branch / Subfield Filter** section contains 13 multi-select fields, one per academic topic. Select branches in only one topic — the field with values determines the topic for the run. For example, selecting `Microbiology` and `Genetics` under **Biology — Branches** will scrape universities ranked in those specific subfields.

Leave all branch fields empty for unfiltered (overall) rankings.

***

### Output Fields

Each university record contains the following fields (availability depends on selected `dataSections`):

#### Identity & Location

- **Identity**: `name`, `slug`, `profileUrl`
- **Location**: `country`, `countryCode`, `region`, `state`, `city`

#### Rankings

- **Overall Ranks**: `worldRank`, `worldRankOutOf`, `continentRank`, `continentRankOutOf`, `countryRank`, `countryRankOutOf`, `stateRank`, `stateRankOutOf`, `cityRank`, `cityRankOutOf`
- **Subject Rankings**: `allGeoRankings[]` — geo-level ranks per subject, `allSubjectRankings[]` — subject-level ranks
- **Research Performance**: `researchPerformance{}` — per-subject publications, citations, and topic lists

#### Research & Impact

- **Research Metrics**: `totalPublications`, `totalCitations`
- **Impact Metrics**: `nonAcademicProminenceRank`, `nonAcademicProminenceOutOf`, `alumniImpactRank`, `alumniImpactOutOf`, `notableAlumniCount`

#### Admissions & General Info

- **Admissions**: `acceptanceRate`, `enrollment`, `studentFacultyRatio`, `totalApplicants`, `totalAdmissions`, `freshmenEnrolled`, `averageSat`, `averageAct`, `netPrice`, `receivingAid`
- **General Info**: `foundedYear`, `motto`, `accreditation`, `colors`, `alternativeNames`, `type`, `funding`, `website`, `address`, `carnegieClassification`, `religiousAffiliation`, `academicCalendar`, `fullTimeEmployees`
- **Metadata**: `rankingYear`, `lastUpdated`

#### OUTPUT Tab Views

The OUTPUT tab in Apify Console displays four dataset schema views:

1. **Overview** — University name, country, world/country rank, acceptance rate, enrollment, founded year
2. **Research & Rankings** — World/continent/country ranks, publications, citations, prominence, alumni impact
3. **Acceptance & Admissions** — Acceptance rate, enrollment, SAT/ACT scores, applicants, student-faculty ratio
4. **Institutional Profile** — Motto, type, funding, accreditation, Carnegie classification, website

***

### Use Cases

- **Academic research** — Study global research output patterns and subject strengths across countries
- **University benchmarking** — Compare institutions by research performance, prominence, and alumni impact
- **Competitive analysis** — Identify top performers by subject, region, or country
- **Enrollment marketing** — Target high-ranked institutions by subject speciality
- **Student recruitment** — Filter universities by acceptance rate, size, and research output

***

### Quick Start Guide

1. Select a **Primary Country** from the dropdown
2. (Optional) Set **Data Sections** — choose which university data to scrape
3. (Optional) Pick a **Branch / Subfield** to narrow by academic subfield
4. (Optional) Add **Additional Countries** codes
5. (Optional) Paste **Custom URLs** for specific universities
6. Click **Start** (or run with no input for a quick test)

***

### Limits & Performance

- EduRank has minimal anti-bot protection; 10 concurrent requests is a safe default
- Increase `maxConcurrency` up to 50 for faster scraping of large countries (US: ~2,500 universities)
- The free tier of Apify proxy is sufficient for most scraping tasks
- Country listing pages show at most the top 100 universities; no pagination support needed

***

### License

MIT

# Actor input Schema

## `country` (type: `string`):

Select one country from the dropdown. For additional countries, use the field below.

## `additionalCountries` (type: `array`):

More country ISO codes to scrape alongside the primary country (e.g. us, gb, de). Leave empty if not needed.

## `startUrls` (type: `array`):

Specific EduRank URLs to scrape — e.g. https://edurank.org/uni/university-of-oxford/rankings/ or https://edurank.org/geo/us/. Combine with Country selection above.

## `branch-art-design` (type: `array`):

Filter by Art & Design subfields. Select one or more branches, or leave empty for no subfield filter.

## `branch-biology` (type: `array`):

Filter by Biology subfields. Select one or more branches, or leave empty for no subfield filter.

## `branch-business` (type: `array`):

Filter by Business subfields. Select one or more branches, or leave empty for no subfield filter.

## `branch-chemistry` (type: `array`):

Filter by Chemistry subfields. Select one or more branches, or leave empty for no subfield filter.

## `branch-cs` (type: `array`):

Filter by Computer Science subfields. Select one or more branches, or leave empty for no subfield filter.

## `branch-economics` (type: `array`):

Filter by Economics subfields. Select one or more branches, or leave empty for no subfield filter.

## `branch-engineering` (type: `array`):

Filter by Engineering subfields. Select one or more branches, or leave empty for no subfield filter.

## `branch-environmental-science` (type: `array`):

Filter by Environmental Science subfields. Select one or more branches, or leave empty for no subfield filter.

## `branch-liberal-arts` (type: `array`):

Filter by Liberal Arts & Social Sciences subfields. Select one or more branches, or leave empty for no subfield filter.

## `branch-mathematics` (type: `array`):

Filter by Mathematics subfields. Select one or more branches, or leave empty for no subfield filter.

## `branch-medicine` (type: `array`):

Filter by Medicine subfields. Select one or more branches, or leave empty for no subfield filter.

## `branch-physics` (type: `array`):

Filter by Physics subfields. Select one or more branches, or leave empty for no subfield filter.

## `branch-psychology` (type: `array`):

Filter by Psychology subfields. Select one or more branches, or leave empty for no subfield filter.

## `dataSections` (type: `array`):

Choose which data sections to scrape for each university. Selecting fewer sections makes runs faster.

## `includeSubjectRankings` (type: `boolean`):

When enabled, scrapes detailed subject-level rankings for each university (246+ research topics across 14 fields). When disabled, returns only overall ranking data.

## `maxPerCountry` (type: `integer`):

Maximum number of universities to scrape per country. Set to 0 for no limit (US has ~2500, UK ~163, etc).

## `maxConcurrency` (type: `integer`):

Number of pages to fetch in parallel. Higher values are faster but more aggressive.

## `proxyConfiguration` (type: `object`):

Proxy settings. EduRank has minimal anti-bot protection, but using Apify proxy can help with rate limiting.

## Actor input object example

```json
{
  "country": "",
  "additionalCountries": [],
  "startUrls": [],
  "branch-art-design": [],
  "branch-biology": [],
  "branch-business": [],
  "branch-chemistry": [],
  "branch-cs": [],
  "branch-economics": [],
  "branch-engineering": [],
  "branch-environmental-science": [],
  "branch-liberal-arts": [],
  "branch-mathematics": [],
  "branch-medicine": [],
  "branch-physics": [],
  "branch-psychology": [],
  "dataSections": [
    "research",
    "admissions",
    "general"
  ],
  "includeSubjectRankings": true,
  "maxPerCountry": 0,
  "maxConcurrency": 10,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "branch-art-design": [],
    "branch-biology": [],
    "branch-business": [],
    "branch-chemistry": [],
    "branch-cs": [],
    "branch-economics": [],
    "branch-engineering": [],
    "branch-environmental-science": [],
    "branch-liberal-arts": [],
    "branch-mathematics": [],
    "branch-medicine": [],
    "branch-physics": [],
    "branch-psychology": [],
    "dataSections": [
        "research",
        "admissions",
        "general"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("morkerr/edurank-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "branch-art-design": [],
    "branch-biology": [],
    "branch-business": [],
    "branch-chemistry": [],
    "branch-cs": [],
    "branch-economics": [],
    "branch-engineering": [],
    "branch-environmental-science": [],
    "branch-liberal-arts": [],
    "branch-mathematics": [],
    "branch-medicine": [],
    "branch-physics": [],
    "branch-psychology": [],
    "dataSections": [
        "research",
        "admissions",
        "general",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("morkerr/edurank-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "branch-art-design": [],
  "branch-biology": [],
  "branch-business": [],
  "branch-chemistry": [],
  "branch-cs": [],
  "branch-economics": [],
  "branch-engineering": [],
  "branch-environmental-science": [],
  "branch-liberal-arts": [],
  "branch-mathematics": [],
  "branch-medicine": [],
  "branch-physics": [],
  "branch-psychology": [],
  "dataSections": [
    "research",
    "admissions",
    "general"
  ]
}' |
apify call morkerr/edurank-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,morkerr/edurank-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/B4bHFZhHoGXaEwrKR/builds/cmKuEocrCPIV8hrIi/openapi.json