We extract course details, university rankings, tuition fees, scholarship databases, and admission requirements from Hotcourses Abroad. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Course Details objects from hotcoursesabroad.com. All fields typed and schema-versioned.
"course_name": "MSc Data Science", "university_name": "University of Melbourne", "study_level": "Postgraduate", "duration": "2 years", "tuition_fee": 45000, "currency": "AUD"
| # | course_id | course_name | university_name | study_level | duration | tuition_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for University Profiles objects from hotcoursesabroad.com. All fields typed and schema-versioned.
"university_name": "University of Melbourne", "country": "Australia", "city": "Melbourne", "global_ranking": 14, "total_students": 54000, "international_students": 23000
| # | university_id | university_name | country | city | global_ranking | total_students |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Admission Requirements objects from hotcoursesabroad.com. All fields typed and schema-versioned.
"academic_req": "Bachelor degree with 65% minimum", "ielts_score": 6.5, "toefl_score": 79, "pte_score": 58, "work_experience_req": "Not required", "gre_gmat_req": false
| # | course_id | academic_req | ielts_score | toefl_score | pte_score | work_experience_req |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Scholarships & Funding objects from hotcoursesabroad.com. All fields typed and schema-versioned.
"scholarship_name": "Global Excellence Scholarship", "provider": "University of Western Australia", "amount": 15000, "currency": "AUD", "degree_level": "Postgraduate", "application_deadline": "2026-10-31"
| # | scholarship_id | scholarship_name | provider | amount | currency | eligibility_criteria |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Student Reviews objects from hotcoursesabroad.com. All fields typed and schema-versioned.
"reviewer_nationality": "Indian", "course_studied": "BSc Computer Science", "overall_rating": 4.5, "teaching_rating": 4.8, "facilities_rating": 4.2, "review_date": "2025-08-14"
| # | review_id | university_id | reviewer_nationality | course_studied | overall_rating | teaching_rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our extraction pipeline targets the core components of international education search: university catalogues, dynamic tuition pricing, admission criteria, and scholarship databases.
Extract comprehensive degree details including study level, duration, module breakdowns, and teaching methods across all listed universities.
Capture accurate international and domestic tuition fees, normalising currencies and payment schedules for downstream analysis.
Structure complex entry requirements into queryable fields: IELTS bands, TOEFL scores, GPA minimums, and prerequisite subjects.
Monitor funding opportunities, eligibility criteria, award amounts, and application deadlines for international applicants.
Extract campus locations, accommodation costs, living expenses estimates, and facility descriptions.
Aggregate student sentiment, star ratings, and review text to evaluate teaching quality and student experience.
Scrape data across study destinations including the UK, USA, Australia, Canada, and New Zealand from a unified schema.
Extract subject-specific and global ranking metrics displayed on university profile pages.
Configure continuous pipelines to track fee adjustments, new course launches, and deadline changes with hash-based diffing.
Brief in. Clean data out.
Provide destination countries, study levels, or specific university names. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for hotcoursesabroad.com.
Schema validation, null-rate checks, fee-outlier detection, and sample courses before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Education portals deploy bot mitigation to protect their proprietary aggregation. Here is how we maintain reliable extraction.
Hotcourses Abroad uses standard bot mitigation layers. Our crawlers utilise residential ISP proxies with realistic browser fingerprints and full cookie session management to bypass rate limits.
Course search filters and pagination rely on client-side rendering. We run full Playwright browser sessions to trigger API calls and hydrate the DOM, capturing data that static HTML parsers miss.
University profile pages often feature custom layouts or missing fields. Our selector strategy uses multiple fallback chains and regex patterns to extract structured data regardless of page template variations.
Tuition fees appear in various formats and currencies. Our pipeline cleans and normalises numeric values, standardising currency codes and English proficiency scores for immediate database ingestion.
We maintain a hash index of last-seen values per course. Subsequent runs only push diffs, alerting you to tuition fee increases or updated application deadlines without processing the entire catalogue.
Study abroad platforms populate their own course search engines with up-to-date university catalogues and admission criteria.
Counsellors use structured fee and eligibility data to match students with appropriate institutions and track application deadlines.
Higher education institutions monitor competitor tuition fees, new program launches, and scholarship offerings to optimise their own positioning.
Migration agents track approved courses and institution details to assist international students with visa applications.
Analysts evaluate trends in international education, tracking the growth of specific subject areas across different destination countries.
Fintech companies providing student loans use tuition fee data to calculate funding requirements for international applicants.
"Hotcourses Abroad aggregates the most comprehensive international education catalogue on the web, but extracting structured fee and admission data requires dedicated infrastructure."
Building a reliable scraper for international education portals means handling aggressive bot mitigation, complex JavaScript hydration, and constantly shifting page structures across thousands of university sub-pages. We manage the extraction layer so your engineering team can focus on matching students to the right programs.
Everything supported by our hotcoursesabroad.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and retry logic. Playwright handles JavaScript rendering and interaction flows for complex search filters.
We maintain pools of residential ISP proxies. Rotation happens per-request with sticky sessions where required to navigate rate limits.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About hotcoursesabroad.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated course, fee, and university data. We do not extract personal user data or circumvent authentication walls.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour to navigate standard bot mitigation layers.
Yes. We extract and structure English proficiency requirements, breaking down overall required scores and specific band minimums into distinct database fields.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series record per course, allowing you to monitor tuition fee inflation across different universities and countries.
Pipelines can be configured to run at your required cadence. Full catalogue refreshes typically run weekly or monthly, while targeted subsets can be updated daily.
Yes. We extract scholarship names, provider details, award amounts, eligibility criteria, and exact application deadlines from the funding sections.
Our packages start at a defined extraction scope, such as specific destination countries or study levels. Contact us with your specific data requirements for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off university catalogue dump or continuous monitoring of global tuition fees, we scope, build, and operate the pipeline. Tell us what you need.
