# THE Impact Rankings Scraper (`acquistion-automation/the-impact-rankings-scraper`) Actor Scrapes the Times Higher Education Impact Rankings by edition year and returns each university as a flat row with its overall rank, total score, and all 17 individual SDG scores. - **URL**: https://apify.com/acquistion-automation/the-impact-rankings-scraper.md - **Developed by:** [Acquisition Automation Co.](https://apify.com/acquistion-automation) (community) - **Categories:** News, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $19.00 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ![Acquisition Automation Co. Search less. Close more.](https://api.apify.com/v2/key-value-stores/AOdPHdOpeDpzEPS5f/records/banner.jpg) ## 🎓 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 ```json { "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 } ``` ```json { "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](https://console.apify.com/sign-up). 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: ```json { "year": "2025", "maxItems": 10 } ``` A full edition: ```json { "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: ```bash 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. ### 🔗 More from Acquisition Automation Co. - [Clutch Agencies Scraper](https://apify.com/acquistion-automation/clutch-agencies-scraper) - [IRS Exempt Organizations Scraper](https://apify.com/acquistion-automation/irs-eo-master-file-scraper) - [AIA Architect Finder Scraper](https://apify.com/acquistion-automation/aia-architect-finder-scraper) - [SAM.gov Contract Opportunities Scraper](https://apify.com/acquistion-automation/sam-gov-contracts-scraper) - [BizBuySell Scraper](https://apify.com/acquistion-automation/bizbuysell-scraper) ### 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. # Actor input Schema ## `maxItems` (type: `integer`): How many universities to collect per run. ## `year` (type: `string`): Edition year (e.g. 2025, 2024). ## Actor input object example ```json { "maxItems": 10, "year": "2025" } ``` # Actor output Schema ## `results` (type: `string`): Scraped records. # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("acquistion-automation/the-impact-rankings-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "maxItems": 10 } # Run the Actor and wait for it to finish run = client.actor("acquistion-automation/the-impact-rankings-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 '{ "maxItems": 10 }' | apify call acquistion-automation/the-impact-rankings-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,acquistion-automation/the-impact-rankings-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 ` 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/Q1GA4g4nYxLiL3iTM/builds/gZ0IWkF8Mh8cgSWxj/openapi.json