UCAS lists every course in the UK's shared admissions scheme in one format, with course codes, Tariff bands, fees and vacancy flags. We turn that catalogue into clean, dated rows.
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ScrapeIt runs UCAS data scraping as a managed service: we build the collector, host it and repair it when the site changes. The course search, course pages and provider pages sit behind a Cloudflare challenge, so anti-bot handling, proxy rotation and CAPTCHA solving are part of the job. We slice the search by subject, region, study type and academic year, open every course and each study option, and extract UCAS data from public pages only, with no logins. Every row keeps the course UUID, course code, institution code, campus code and study year. A sample comes first; after sign-off, runs follow your schedule and arrive as JSON, CSV or XLSX in S3, SFTP or your warehouse, or through the UCAS API we host.
A search result row already carries course title, provider, campus, qualification, duration, study mode, start month and a Tariff band such as UCAS Tariff: 112 - 120 points, or N/A where no Tariff figure is given. The course page adds the rest, and we keep one row per course, study option and academic year.
UCAS apprenticeships come from a separate search of vacancies and graduate jobs. Each listing gives title, employer, location, level as printed (England - Advanced Apprenticeship - Level 3), salary, industry, Apply by and start date, sortable by closing date or recently added. Degree apprenticeships also appear in the course search as a study type.
Provider pages add location type (City or Town), open days with date, time and format, course locations and a Stats tab of HESA student figures: sex, domicile (UK, EU, International), full-time or part-time, entrants and study level. Scholarships and bursaries have records with amount, domicile, study level, awarding body and funding application deadline. Searching UCAS is free; turning it into a table means opening every course and study option one by one.
UCAS statistics are published, not shown on course pages, and we keep them as released, with release name and date: applicant figures after the October, January and June deadlines, daily Clearing analysis on August weekdays with a final release in September, and end of cycle data at sector and provider level, with offer rates and placed applicants by sex, area background (POLAR4, SIMD) and ethnic group. UCAS notes that about a third of young full-time undergraduate study in Scotland sits outside its figures.
A UCAS scraper reads ucas.com, the site of the Universities and Colleges Admissions Service, the independent charity that runs the UK's shared admissions service for higher education. In September 2026 UCAS put its scale at almost three million applications a year from about 700,000 people, for full-time undergraduate courses at over 380 universities and colleges. Its course search puts every listed course in one format: degrees, foundation years, HNCs and HNDs, degree apprenticeships, higher technical qualifications, conservatoire courses, postgraduate taught and research courses, and teacher training in Scotland and Wales.
A course page sits on a UUID address such as /explore/courses/{id}/computer-science, with studyYear for the academic year and optionId for each study option, so one course can carry several modes, durations and start dates. Applicants use shorter codes: a four-character course code such as G401, an institution code such as L34 and a campus code. UCAS providers have an eight-character ID (/explore/unis/01b03c44/university-of-manchester) and tabs for About us, Stats, Student life, Courses, Apprenticeships and International.
The cycle runs on fixed dates: next year's courses appear in late April, 15 October is the equal consideration date for Oxford, Cambridge and most medicine, dentistry and veterinary courses, most other courses follow in mid-January, UCAS Extra runs from late February to 1 July, the 30 June UCAS application deadline sends later applications into Clearing, and Clearing opens on 2 July.
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University planning teams benchmark their portfolio against the UCAS course catalogue: which subjects competitors run, at what Tariff band, in which study modes and at what international fee. Sorting by Tariff requirements shows the ladder for one search; a full pull by subject and region gives a table you can analyse, and options filed under the next academic year show launches and withdrawals early.
Clearing is the second reason. From 2 July vacancies appear in the UCAS course search, and each course page says for every home nation whether places remain. Recruitment agencies, international counsellors and comparison apps track UCAS courses in Clearing daily, because a course can close to applicants from Scotland while it stays open to England or International, and the difference between two runs is exactly what changed.
The third is matching. Careers platforms, tutoring firms and school advisers turn predicted grades into Tariff points and match them to entry requirements, key dates and apprenticeship vacancies. Applicants often ask how many courses they can apply for through UCAS: five choices, then one at a time in Extra or Clearing. Researchers join course rows to UCAS admission statistics by provider and subject.
Learn how to use web scraping to solve data problems for your organization
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
If you specialize in machine learning, you need to feed large amounts of data to the algorithms. Web scraping is the easiest and the most efficient method of collecting the data from all over the Internet.
ScrapeIt is a managed web scraping agency. You choose subjects, providers, regions, study types and entry years; we deliver a UCAS database that loads without cleaning: tables for courses, study options, entry requirements, fees, vacancy status, providers, apprenticeships and statistics, joined on UCAS's own IDs and codes, so the output doubles as a UCAS course codes list. Pricing follows scope and refresh rate, from one snapshot before the cycle opens to daily Clearing runs, and you check a sample before committing.
Yes. The ScrapeIt UCAS API returns courses and study options as JSON: title, provider, qualification, duration, study mode, start date, course code, institution code, campus, entry requirements per qualification, Tariff points, fees per home location and vacancy status by home nation, plus providers, apprenticeship vacancies and published statistics. You set the schedule, from a weekly catalogue refresh to daily runs in Clearing. The same data comes as CSV and XLSX exports, or lands in S3, SFTP or your warehouse.
Daily from 2 July, when Clearing opens and vacancies show in the search, and several times a day around results days if you need it. Each run records every course's status for England, Scotland, Wales, Northern Ireland, the Republic of Ireland, the EU and International, plus the Clearing notice on the page, so each change arrives as a dated row. UCAS courses in Clearing keep moving until the last date to add a Clearing choice in October.
We keep both. Entry requirements stay one row per qualification, as the provider wrote them (A level ABB, BTEC D*D*D*, Scottish Higher AABBB), and the Tariff band from the search result sits beside them as a minimum and a maximum, even where the band is printed high to low, such as 112 - 96 points. Where a course gives grades only, we can add a Tariff value from UCAS's published tables. For the new V Levels, UCAS has already set A* at 56 points down to P at 12.
The figures in UCAS data releases: applicant counts at the October, January and June deadlines (the October release, taken at the deadline for medicine, dentistry and veterinary courses, is where UCAS medicine statistics start each cycle), UCAS Clearing statistics day by day, and end of cycle resources, where UCAS application statistics by university include offer rates and placed applicants. Each figure keeps its cycle, release name and publication date from the UCAS data release schedule; releases go out at 00:01 unless UCAS says otherwise, so a morning run picks them up.
We collect only publicly available data - everything a visitor can see on UCAS - and we collect it legally. That covers the course search, course pages, provider pages, apprenticeship and scholarship listings, key dates and published statistics. No logins, no paywalls: applications, offers and anything else in the UCAS Hub stay out, student ambassador profiles and names in testimonials are dropped, and personal data is handled under GDPR.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
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