We extract university rankings, course requirements, tuition fees, and IELTS schedules from IDP. 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 Catalogues objects from idp.com. All fields typed and schema-versioned.
"course_id": "CRS-89214", "course_name": "Master of Data Science", "institution_name": "University of Melbourne", "degree_level": "Postgraduate", "duration_months": 24, "tuition_fee": 45000.0, "currency": "AUD", "ielts_requirement": 6.5
| # | course_id | course_name | institution_name | degree_level | duration_months | tuition_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for University Profiles objects from idp.com. All fields typed and schema-versioned.
"institution_id": "UNI-1042", "institution_name": "University of Melbourne", "global_rank": 33, "country": "Australia", "total_students": 52000, "international_students": 21000, "acceptance_rate": 70.0, "scraped_at": "2026-05-12T09:14:00Z"
| # | institution_id | institution_name | global_rank | country | total_students | international_students |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Scholarships objects from idp.com. All fields typed and schema-versioned.
"scholarship_id": "SCH-4921", "scholarship_name": "Global Excellence Scholarship", "institution_name": "University of Western Australia", "coverage_amount": 12000.0, "currency": "AUD", "application_deadline": "2026-10-31", "degree_level": "Undergraduate", "target_demographic": "International"
| # | scholarship_id | scholarship_name | institution_name | coverage_amount | currency | eligibility_criteria |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for IELTS Test Centres objects from idp.com. All fields typed and schema-versioned.
"centre_id": "IELTS-BLR-01", "centre_name": "IDP IELTS Test Centre Bengaluru", "city": "Bengaluru", "country": "India", "test_type": "Academic", "test_fee": 16250.0, "currency": "INR", "booking_status": "Available"
| # | centre_id | centre_name | city | country | address | test_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Intake Deadlines objects from idp.com. All fields typed and schema-versioned.
"intake_id": "INT-2026-S1", "institution_name": "University of Sydney", "course_name": "Bachelor of Commerce", "term": "Semester 1", "application_deadline": "2026-01-15", "start_date": "2026-02-24", "seat_availability": "Limited", "last_updated": "2026-05-12T09:14:00Z"
| # | intake_id | institution_name | course_name | term | application_deadline | document_deadline |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our IDP scraper handles every layer of the platform: university directories, dynamic course searches, scholarship databases, and IELTS schedules - with JavaScript rendering, session management, and anti-bot circumvention built in.
Degree level, duration, tuition fees, study mode, and entry requirements - scraped at the course level with institution mapping.
Extract localized tuition fees and standardise them into your preferred base currency using real-time exchange rates.
Monitor test centre availability, exam dates, and booking statuses across global IDP testing locations.
Capture scholarship names, coverage amounts, eligibility criteria, and deadlines across all listed universities.
Extract global and subject-specific university rankings as displayed on IDP institution profiles.
Track application deadlines, semester start dates, and seat availability for upcoming academic terms.
Spoof IP addresses to access region-specific IDP portals and extract localised course offerings and fee structures.
Monitor IDP physical events, virtual fairs, and university delegate schedules.
Run one-off bulk exports or configure continuous pipelines at hourly, daily, or real-time cadences with change-detection diffing.
Brief in. Clean data out.
Provide target countries, study levels, or institution lists. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for idp.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.
IDP uses dynamic rendering and geo-blocking to serve localised content. Here is how we stay resilient - and why teams choose managed infrastructure over DIY.
IDP serves different courses, fees, and requirements based on the user's geographic location. Our crawlers use residential ISP proxies to spoof regional IPs, ensuring you extract the exact data presented to students in specific source markets.
IDP course searches and IELTS booking interfaces rely heavily on client-side rendering. We run full Playwright browser sessions to execute JavaScript, handle pagination, and interact with dynamic filters that headless HTTP clients miss entirely.
Tuition fees and living costs are displayed in various local currencies. Our pipeline extracts the raw values and applies standardisation logic, delivering clean, comparable numerical data to your warehouse.
For large course catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs - reducing compute cost, storage bloat, and downstream processing load. You get a clean changelog rather than full re-dumps.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, fee outliers, schema drift, and coverage drops - and respond before you notice. SLA uptime is contractual, not aspirational.
Universities track peer institution fees, entry requirements, and new course launches to maintain competitive positioning.
Education portals syndicate course catalogues and scholarship data to enrich their own student-facing search engines.
Financial institutions assess tuition fee structures and living costs to design targeted student loan products.
Higher education strategy teams identify trending study destinations and popular course categories to plan new campus locations.
Language academies track IELTS test centre availability and demand spikes to optimise their coaching schedules.
Immigration agencies monitor international student intake volumes and course durations to forecast visa application trends.
"IDP aggregates the largest global database of international study options - but extracting standardised fee and intake data requires a dedicated pipeline."
Most teams underestimate the complexity of scraping global education portals: reliable IDP extraction requires handling heavy geo-localisation, dynamic search APIs, multi-currency normalisation, and constant DOM shifts. DataFlirt absorbs that complexity so your engineers can focus on the analysis - not the infrastructure.
Everything supported by our idp.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across global regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About idp.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from IDP is generally permissible under applicable law. DataFlirt targets only public, non-authenticated course, university, and IELTS schedule data. We do not extract personal data, circumvent authentication walls, or violate GDPR. Clients should review IDP's ToS and consult legal counsel for specific use cases.
We use residential ISP proxies to route requests through specific countries. This ensures we capture the exact tuition fees, entry requirements, and course availability presented to students in your target demographic.
Yes. We configure pipelines to target specific search parameters, such as postgraduate engineering courses in the UK, or undergraduate business degrees in Australia.
Real-time streaming pipelines achieve sub-60-minute latency for IELTS test centre availability and booking status updates.
Yes. Our extraction schema captures the raw local currency value and can map it to a standard base currency using historical or real-time exchange rates, depending on your requirements.
Our smallest packages start at a defined institution list (typically 100-500 universities) with weekly delivery. For global catalogue refreshes, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 50 university profiles or 500 course listings as part of the pre-engagement scoping process - so you can validate schema fit, field completeness, and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off university directory dump or a continuous course-monitoring feed across 800K listings - we scope, build, and operate the pipeline. Tell us what you need.
