🎓 Times Higher Education World Rankings Scraper

🚀 Pull the full Times Higher Education world university rankings in seconds. Teaching, research, citations, industry income, international outlook scores ready for analysis.

🕒 Last updated: 2026-06-05 . 📊 13 fields per record . Source timeshighereducation.com . Structured tabular output

The Times Higher Education World Rankings Scraper turns the public timeshighereducation.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 Times Higher Education World Rankings Scraper does

• Calls the public timeshighereducation.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: timeshighereducation.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.

🎬 Full Demo

🚧 Coming soon.

⚙️ Input

Field	Type	Required	Description
maxItems	integer	No	Free users 10. Paid users up to 1,000,000. Prefill 10.
year	enum	No	Ranking year (THE world ranking).
subject	string	No	Optional subject filter for THE subject rankings.

Example 1.

{
  "maxItems": 25,
  "year": "2025",
  "subject": ""
}

Example 2.

{
  "maxItems": 100
}

⚠️ Good to Know. Free users are auto-limited to 10 records per run. Paid users can pull up to 1,000,000.

📊 Output

Each record is a flat object. The error field is always last.

Field	Type	Description
🏆 rank	number	THE overall rank.
🏛️ name	string	University name.
🌍 country	string	Country of the institution.
📚 teaching	number	Teaching pillar score.
🔬 research	number	Research pillar score.
📖 citations	number	Citations pillar score.
💰 industryIncome	number	Industry income score.
🌐 internationalOutlook	number	International outlook score.
⭐ overall	number	Overall score.
📅 year	number	Ranking year.
📘 subject	string	Subject area (or overall).
🕒 scrapedAt	string	Fetch timestamp.
❌ error	string	Populated if the request failed.

Sample record.

{
  "rank": 1,
  "name": "Sample University",
  "country": "United States",
  "teaching": 90.1,
  "research": 96.3,
  "citations": 99,
  "industryIncome": 88.5,
  "internationalOutlook": 95.4,
  "overall": 95,
  "year": 2025,
  "subject": "Computer Science",
  "scrapedAt": "2026-06-05T00:00:00.000Z",
  "error": null
}

✨ Why choose this Actor

| 🆓 | Free tier ready, with public data only. | | 🧹 | Clean column names ready for BI. | | 🔢 | Auto casts numeric strings to real numbers. | | 🛟 | Surfaces upstream errors as a clean error record instead of crashing. | | 🔌 | Filters mirror the public source interface. | | 💾 | Push to dataset for instant tabular export in every supported format. |

📈 How it compares to alternatives

Approach	Setup time	Clean keys	Numeric casting	Error handling
Roll your own client	30 min +	No	No	No
Generic web scraper	1 hr +	Partial	Partial	Partial
This Actor	5 sec, no install	Yes	Yes	Yes

🚀 How to use

1. Click Try for free.
2. Pick filters or leave defaults.
3. Click Start. Within seconds, your dataset is ready.
4. Download or pipe to your warehouse.

💼 Business use cases

📊 Analytics. Pull a structured snapshot into your warehouse and join it with internal data.

🏢 Operations. Schedule daily runs and route the dataset into BI dashboards.

📰 Newsroom fact-checking. Reporters can verify a fact in 30 seconds.

🤖 ML feature engineering. Build a clean training set with no client code.

🔌 Automating Times Higher Education World Rankings Scraper

• Make and Zapier. Trigger this actor on a schedule and route results to Airtable, Sheets, or Slack.
• Cron schedule. Native Apify scheduler.
• Webhooks. Get a POST to your endpoint the moment a run finishes.
• Pipe to BigQuery, Snowflake, Postgres. Native Apify integrations.

🌟 Beyond business use cases

🎓 Education. Teach a data class with real, fresh datasets.

🧪 Personal research. Track topics you care about over time.

🤝 Non profit and open data. Build public dashboards.

🧰 Tinkering and prototyping. Spin up a feed in 5 seconds.

🤖 Ask an AI assistant about this scraper

Pop this README into ChatGPT, Claude, or any AI assistant and ask it to map your specific workflow to the actor inputs. The schema, examples, and field list above contain everything an LLM needs to design a working pipeline.

❓ Frequently Asked Questions

❓ Do I need an API key. No. This actor uses public endpoints only.

❓ Is there a rate limit. The upstream source may rate limit aggressive use. The actor surfaces rate limit notes as a clean error record.

❓ Which filters are supported. Every filter the public source exposes is in the input schema.

❓ Are values cast to numbers. Yes, where the source returns numeric strings.

❓ How do you handle upstream errors. We push a single record with the error populated instead of throwing.

❓ Can I schedule runs. Yes, native Apify scheduler.

❓ Is this scraping or API. Public API where available.

❓ Will the schema change. Field names listed in the Output section are stable.

❓ What format can I download. Every tabular format the Apify dataset supports.

❓ Can I filter the output. Yes, every input field maps to an upstream filter.

🔌 Integrate with any app

Apify ships native integrations with Make, Zapier, Slack, Discord, Google Drive, Google Sheets, Gmail, Airbyte, Keboola, Telegram, GitHub, and any REST API or webhook endpoint. Trigger runs from a calendar event, a form submission, a cron job, or pipe results straight into BigQuery, Snowflake, or a Postgres warehouse.

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