QS World University Rankings Scraper
Pricing
from $5.43 / 1,000 results
QS World University Rankings Scraper
Scrapes QS World University Rankings by year and optional country. Returns each university as a flat row with rank, overall score, and all QS indicator scores.
Pricing
from $5.43 / 1,000 results
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ParseForge
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6 hours ago
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QS World University Rankings Scraper
Scrape QS World University Rankings for any year and country, up to a million universities per run. Each row returns rank, overall score, academic and employer reputation, citations, and more. Export to CSV, JSON, Excel, or XML.
QS publishes the definitive annual league table of global universities, but manually copying rankings across years and countries is slow and error-prone. This actor reads the public QS World University Rankings pages directly, filtered by year and optional country, and returns every matching university in one consistent flat schema.
| Who uses it | What they scrape QS World University Rankings for |
|---|---|
| Higher education analysts | Compare institutional performance across multiple ranking years. |
| University marketing teams | Benchmark their own university against peer institutions in specific countries. |
| Prospective students and counselors | Build shortlists of top-ranked universities in a target country. |
| Recruitment agencies | Identify leading universities for partnership and student placement. |
What it does
This Actor collects QS World University Rankings by year and optional country, and returns each university as a flat row with its rank, scores, and indicators.
- 📅 Year selection: fetch rankings for 2025, 2024, 2023, or 2022.
- 🌍 Country filter: narrow results to a single country, like United States or United Kingdom.
- 📊 Full indicator set: overall score, academic reputation, employer reputation, faculty student ratio, citations per faculty, international faculty, and international students.
- ⚡ High volume: collect up to 1,000,000 ranked universities in a single run.
Results export to CSV, JSON, Excel, or XML, or straight from the API.
What you can do with QS World University Rankings data
📈 Track ranking trends over time.
A higher education analyst runs the actor for 2022, 2023, 2024, and 2025, then merges the datasets to see which universities gained or lost ground.
🌍 Build country-specific university shortlists.
An education counselor sets the country filter to Canada and the year to 2025 to generate a clean list of top Canadian universities for a student.
📊 Benchmark a university against competitors.
A university marketing team scrapes the latest rankings for their home country and compares their own scores on academic reputation and citations against five peer institutions.
🔍 Enrich internal databases with QS indicators.
A recruitment platform runs the scraper weekly and maps the overall score and employer reputation into their university profiles for employer clients.
Why choose this scraper
| What you get | |
|---|---|
| Flat row per university | One university, one row, with rank and all QS indicator scores. |
| Multi-year analysis | Pull 2022 through 2025 rankings to track rises and falls. |
| Country-specific lists | Extract only universities in a given country for targeted reports. |
| No API key needed | Reads the public rankings pages directly with no registration. |
How it compares
No other Store actor targets QS World University Rankings the same way, so the honest comparison is with the alternatives teams actually weigh.
| QS World University Rankings Scraper | Build it in-house | By hand | |
|---|---|---|---|
| Setup | Run it now, zero config | Days of engineering | None, but hours per pull |
| When QS World University Rankings changes | Maintained for you | You fix it | You re-learn the page |
| Proxies, retries, anti-bot | Built in | Your problem | Browser only |
| Output | Fixed JSON schema, CSV/Excel export | Whatever you build | Copy-paste |
| Cost | Pay per result | Engineering time | Analyst hours |
Configure the run
Drive the Actor by selecting a ranking year and an optional country name, and filters run as each university is read so only matches reach your dataset. The Input tab lists every parameter.
A first run with the defaults:
A larger pull:
Pricing
Pay-per-result: $0.006 per result collected. You pay only for the results written to your dataset.
| Results collected | Approximate cost |
|---|---|
| 100 results | $0.60 |
| 1,000 results | $6.00 |
| 10,000 results | $60.00 |
New Apify accounts start with $5 in free credit.
Free users
Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.
Run it
- Create a free Apify account with $5 in credit.
- Open the QS World University Rankings Scraper.
- Set your inputs and any filters, then click Start.
- Export the results as CSV, Excel, JSON, or XML from the Dataset tab.
Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.
Use with AI agents (MCP)
Give an AI agent live access to QS World University Rankings through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:
Then prompt it in plain language to run the scraper and read back the results.
Troubleshooting
Why am I getting no results?
Check your country filter spelling. It must match the QS site exactly, for example United Kingdom not UK. Also confirm the selected year is one of the supported years: 2022 through 2025.
The actor returns fewer universities than I set in maxItems.
The QS World University Rankings list has a fixed number of institutions per year, around 1,500. If you set maxItems higher than the total available, the actor returns all of them and stops.
Some indicator scores are missing in my results.
QS does not publish every indicator for every university. If a score is not available on the QS page, the field will be empty in your dataset.
The actor is running slowly.
The actor respects the QS website by making polite requests. Large pulls with high maxItems values will take longer. Reduce maxItems if you need only a subset.
I got an error about the year selection.
Make sure you selected a year from the dropdown in the input UI. Typing a year manually may cause a mismatch. The allowed values are 2025, 2024, 2023, and 2022.
FAQ
| Question | Answer |
|---|---|
| Which QS rankings does this actor scrape? | It scrapes the main QS World University Rankings table. It does not scrape subject rankings, regional rankings, or MBA rankings. |
| Can I get rankings for a specific country only? | Yes. Use the optional Country filter input and type the country name exactly as it appears on the QS site, for example United States or Germany. |
| What years are available? | The actor supports the ranking years 2025, 2024, 2023, and 2022. Older years are not available in this version. |
| How many universities can I scrape in one run? | You can set the maximum up to 1,000,000. The QS World University Rankings list around 1,500 institutions, so the default maximum is more than enough for a full pull. |
| What data fields does each row contain? | Each row includes the university name, rank, overall score, academic reputation, employer reputation, faculty student ratio, citations per faculty, international faculty ratio, and international student ratio. |
| Do I need a QS account or API key? | No. The actor reads the publicly available ranking pages. No login, API key, or registration is required. |
| Can I filter by rank range? | The actor does not have a rank range filter. It collects universities starting from rank 1 up to the maximum number you set. You can filter the exported dataset afterward. |
| How often is the QS data updated? | QS publishes a new World University Ranking once per year, usually in June. The actor reads whatever is live on the QS site at the time of the run. |
| What output formats are supported? | You can export the results to CSV, JSON, Excel, or XML from the Apify dataset tab. |
| Can I schedule this scraper to run automatically? | Yes. Apify actors support scheduled runs. You can set it to run monthly or annually to capture new rankings when they are released. |
Related actors
Browse the full ParseForge collection for more scrapers.
🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.
⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by QS Quacquarelli Symonds. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.
