🎓 THE Impact Rankings Scraper

Every university in the Times Higher Education Impact Rankings as a flat row, with its rank, overall score, country, student count, staff to student ratio, international share and gender split. Pick an edition year from 2019 to 2025, cap the run, export to CSV, Excel, JSON or XML.

Times Higher Education publishes the Impact Rankings as a paged table on its own site, one edition at a time, with no export. Reading the institutional numbers means opening each university's page. This Actor pulls the ranking table and the institution profile figures together, so an edition becomes a single sheet.

Who uses it	What they use the table for
🏘 Buyers of student housing and campus services	Sizing the student population behind a location, by institution and country
📚 Education sector investors	Screening institutions by country and scale before a partnership or an acquisition
🧭 Business development teams	Building a ranked target list of universities with the headcount attached
📊 Analysts and researchers	Comparing editions year over year with the same columns

📋 What it does

💡 Why it matters: a business that sells to universities is really buying a customer list. Rank, country and enrolment size give that list a shape before anyone makes a call.

• 📅 Runs one edition at a time, from 2019 through 2025.
• 🥇 Returns rank two ways: the printed rank, which can be a band such as a shared position, and a numeric sort order.
• 👥 Returns institution size: student count, staff to student ratio, international student share and the female to male split.
• 🌍 Returns the country for every institution.
• 🔗 Links to each university's THE profile, plus the alternate names it is known by.
• 💾 Exports to CSV, Excel, JSON or XML, from the run page or the API.

📊 Output

Every university is one flat row. Several of the numbers arrive as strings, because they carry the formatting the site prints, such as a comma or a percent sign.

Field	Type	Description
🎓 name	string	University name, for example University of Manchester
🌍 location	string	Country, for example United Kingdom
🥇 rank	string	Rank as printed by Times Higher Education
🔢 rankOrder	integer	Numeric sort order for the same position
📊 overallScore	string	Overall Impact score, for example 98.4
🏅 overallRank	string	Overall rank as published for the edition
👥 studentsCount	string	Number of students as printed, for example 42,160
👩‍🏫 staffStudentRatio	string	Staff to student ratio, for example 15.1
✈️ intlStudentsPct	string	Share of international students, for example 46%
⚖️ femaleMaleRatio	string	Female to male split, for example 56 : 44
🔤 aliases	string	Alternate names the institution is known by, useful for matching against your own list
🔗 url	string	Link to the university's Times Higher Education profile
🆔 nid	integer	Times Higher Education's internal id for the institution
🔗 sourceUrl	string	The rankings page the row came from
🕒 scrapedAt	string	ISO timestamp of collection
⚠️ error	string	null on a normal row

Example rows

{
  "rank": "1",
  "rankOrder": 1,
  "name": "Western Sydney University",
  "location": "Australia",
  "overallScore": "98.7",
  "overallRank": "1",
  "nid": 1014,
  "url": "https://www.timeshighereducation.com/world-university-rankings/western-sydney-university",
  "studentsCount": "33,215",
  "staffStudentRatio": "34.8",
  "intlStudentsPct": "22%",
  "femaleMaleRatio": "59 : 41",
  "aliases": "Western Sydney University University of Western Sydney WSU UWS",
  "sourceUrl": "https://www.timeshighereducation.com/impactrankings",
  "scrapedAt": "2026-09-14T17:28:32.844Z",
  "error": null
}

{
  "rank": "2",
  "rankOrder": 2,
  "name": "University of Manchester",
  "location": "United Kingdom",
  "overallScore": "98.4",
  "overallRank": "2",
  "nid": 512,
  "url": "https://www.timeshighereducation.com/world-university-rankings/university-manchester",
  "studentsCount": "42,160",
  "staffStudentRatio": "15.1",
  "intlStudentsPct": "46%",
  "femaleMaleRatio": "56 : 44",
  "aliases": "University of Manchester",
  "sourceUrl": "https://www.timeshighereducation.com/impactrankings",
  "scrapedAt": "2026-09-14T17:28:32.942Z",
  "error": null
}

✨ Why choose this Actor

	What you get
The published table	Rows come from the Times Higher Education rankings page itself.
Seven editions	2019 through 2025, one input away, so a trend is two runs and a join.
Size with the rank	Student count and international share sit on the same row as the position.
Names you can match on	aliases carries the abbreviations and former names, which is what makes a join work.
You pay per row	No subscription. A ten university test costs about twenty cents.

🚀 How to use it

1. Create a free Apify account. New accounts start with $5 of credit.
2. Open the Actor and select Try for free.
3. Pick an edition in year.
4. Set maxItems to cap the run.
5. Select Start, then export from the Dataset tab as CSV, Excel, JSON or XML.

A first run:

{
  "year": "2025",
  "maxItems": 10
}

A full edition:

{
  "year": "2024",
  "maxItems": 2000
}

⚙️ Input

Field	Required	Description
year	No	Edition year: 2025, 2024, 2023, 2022, 2021, 2020 or 2019. Default 2025
maxItems	No	How many universities to collect per run. Default 10

💰 Pricing

Pay per result. No subscription, and no Apify platform usage on top.

Apify plan	Free	Bronze	Silver	Gold	Platinum	Diamond
Per university row	$0.021	$0.0203	$0.0197	$0.019	$0.019	$0.019

Rows collected	Cost on the Free plan
100	$2.10
1,000	$21.00
10,000	$210.00

Free plan runs return up to 10 rows as a preview. Any paid Apify plan lifts that to 1,000,000 per run.

🔌 Integrate with any app

The dataset is available through the Apify API as soon as the run finishes. Use run-sync-get-dataset-items for a one-shot call, webhooks to trigger what happens next, or the Make, Zapier, Airbyte and LangChain integrations listed on the Actor page.

🤖 Use with an AI agent

Give an agent live access to the rankings over the Model Context Protocol:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=acquistion-automation/the-impact-rankings-scraper"

Then ask it in plain language for the top ranked universities in a country and have it read the result back.

❓ Frequently asked questions

Does a row carry the 17 individual SDG scores? No. A row carries the overall score and rank plus the institution profile figures listed above. The per goal scores are not part of the output.

Why are numbers returned as text? They are kept in the form the site prints them, with the comma in 42,160, the percent sign in 46% and the spacing in 56 : 41. Convert them on import if your tool needs numerics.

What is the difference between rank and rankOrder? rank is what the page shows, which can be a band shared by several institutions. rankOrder is a plain number you can sort on.

Which editions can I pull? 2019 through 2025, one per run. Run each year separately and join on nid or name for a trend.

What is nid? Times Higher Education's own identifier for the institution. It is the most reliable key when the same university is spelled differently across editions.

What can I export? CSV, Excel, JSON and XML from the run page, or JSON straight from the API.

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About Acquisition Automation Co.

We build automation for people buying businesses. The repetitive part of an acquisition search, checking listings, pulling public records, tracking owners and assets, is work a machine should do, so the buyer's time goes into judging deals instead of collecting them.

We add new Actors regularly. If there is a source you need and do not see here, tell us.

🆘 Support

Open an issue in the Issues tab of this Actor with your run ID, the input you used, and what you expected to get back.

⚠️ Disclaimer

This Actor is independent and is not affiliated with, endorsed by, or sponsored by Times Higher Education. It collects only publicly available data. You are responsible for using that data in compliance with the source's terms of service and applicable law.