We extract university profiles, tuition fees, entry requirements, and program curricula from Mastersportal. 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 Program Details objects from mastersportal.eu. All fields typed and schema-versioned.
"program_id": "MP78291", "title": "Data Science and Artificial Intelligence", "university_name": "Technical University of Munich", "location_country": "Germany", "duration_months": 24, "tuition_fee": 3000.0, "currency": "EUR", "language": "English"
| # | program_id | title | university_name | location_city | location_country | duration_months |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Entry Requirements objects from mastersportal.eu. All fields typed and schema-versioned.
"program_id": "MP78291", "ielts_score": 6.5, "toefl_score": 90, "academic_background": "Computer Science or related field", "work_experience_months": 0, "portfolio_required": false, "gre_gmat_score": "Not required"
| # | program_id | gpa_requirement | ielts_score | toefl_score | academic_background | work_experience_months |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for University Profiles objects from mastersportal.eu. All fields typed and schema-versioned.
"university_id": "U9921", "university_name": "Technical University of Munich", "country": "Germany", "global_ranking_qs": 49, "global_ranking_the": 30, "total_students": 50484, "international_students": 19321
| # | university_id | university_name | country | city | global_ranking_qs | global_ranking_the |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Scholarships objects from mastersportal.eu. All fields typed and schema-versioned.
"scholarship_id": "SCH442", "scholarship_name": "DAAD Study Scholarships", "provider": "German Academic Exchange Service", "amount": 934.0, "currency": "EUR", "deadline": "2026-10-15"
| # | scholarship_id | scholarship_name | provider | amount | currency | deadline |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Student Reviews objects from mastersportal.eu. All fields typed and schema-versioned.
"review_id": "REV99102", "university_id": "U9921", "rating": 4.5, "review_text": "Excellent facilities and strong industry connections.", "reviewer_nationality": "India", "study_year": 2023
| # | review_id | university_id | rating | review_text | reviewer_nationality | study_year |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our scraper navigates the complex program directory: tuition fee conversions, multi-region availability, and dynamic ranking tables. Built with full JS execution to capture hidden metadata.
Capture curriculum details, duration, study format, and degree types across all available Master and PhD programs.
Extract domestic versus international tuition fees. We handle geolocation routing to capture correct regional pricing.
Structure IELTS, TOEFL, GPA minimums, and specific academic background prerequisites into queryable fields.
Extract World University Rankings, QS, and Shanghai ranking positions directly from the university profile pages.
Collect grant amounts, provider details, application deadlines, and regional eligibility criteria.
Track intake periods, rolling admissions flags, and specific documentation deadlines for international applicants.
Extract quantitative ratings and qualitative text reviews, including reviewer nationality and study year.
Capture raw tuition fees in local currency and normalise them against standard conversion rates for accurate benchmarking.
Run one-off bulk exports or configure continuous pipelines at weekly or monthly cadences with change-detection diffing.
Brief in. Clean data out.
Provide discipline filters, target countries, or university lists. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, regional proxy rotation, and session management for mastersportal.eu.
Schema validation, null-rate checks, and tuition outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Mastersportal uses dynamic filtering and geolocation-based pricing. Here is how we maintain extraction reliability.
Tuition fees change dynamically based on visitor IP address. Our crawlers use residential ISP proxies from specific target countries to capture exact international or domestic fee structures.
Program tabs, curriculum details, and search filters are built as Single Page Application components. We run full Playwright browser sessions to hydrate dynamic content that basic HTTP clients miss.
The platform frequently updates its layout. Our selector strategy uses multiple fallback chains per field, combining CSS selectors, XPath, and JSON-LD structured data extraction.
Search results are heavily paginated and capped. We subdivide large queries by discipline, country, and tuition brackets to ensure 100% coverage of the directory without hitting result limits.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, missing tuition fields, and schema drift, responding before you notice any data degradation.
Universities monitor international tuition fees and program durations across rival institutions to optimise their own pricing strategies.
Educational technology platforms analyse curriculum trends and entry requirements to build targeted preparatory courses.
Agencies build internal databases of program requirements, deadlines, and scholarships to match students with appropriate institutions.
Researchers track the growth of specific disciplines, such as Artificial Intelligence or Sustainability, across global higher education markets.
Financial aid platforms aggregate scholarship listings, deadlines, and eligibility criteria to serve prospective international students.
Accommodation providers track university intake sizes and program start dates to forecast student housing demand in specific European cities.
"Mastersportal holds the most comprehensive catalogue of global higher education. Extracting it requires navigating complex geolocation pricing and dynamic filters."
Most teams fail at standardising tuition data across thousands of universities. DataFlirt handles the geolocation routing, currency capture, and pagination logic so your team receives clean, queryable datasets ready for immediate analysis.
Everything supported by our mastersportal.eu 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 deduplication. Playwright handles JavaScript rendering and dynamic content hydration for complex program pages.
We maintain pools of residential ISP proxies across specific geographic regions to accurately capture location-dependent tuition fees.
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 mastersportal.eu scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available directory information is generally permissible. DataFlirt targets only public, non-authenticated program, tuition, and university data. We do not extract personal user data or circumvent authentication walls. Clients should review relevant Terms of Service and consult legal counsel for specific use cases.
Mastersportal displays different tuition fees depending on whether the visitor IP is from the EU or outside the EU. We route requests through specific residential proxy pools based on your requirements to capture the exact pricing tier you need.
Yes. We can configure the pipeline to target specific search filters, such as Computer Science, Business, or Engineering, across all available countries or limited to specific regions.
Full directory refreshes typically run on a weekly or monthly cadence, depending on client requirements. Changes to tuition fees or application deadlines are captured during these scheduled runs.
We extract the raw numerical value and the displayed currency symbol. If required, we can apply a secondary processing step to normalise all fees into a single target currency based on exchange rates at the time of extraction.
Absolutely. We provide a sample run of up to 500 programs as part of the pre-engagement scoping process. This allows you to validate schema fit, field completeness, and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off export of European master degrees or a continuous tracker for global tuition fees, we scope, build, and operate the pipeline. Tell us what you need.
