We extract college profiles, acceptance criteria, tuition data, student reviews, and scholarship listings from Cappex. 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 College Profiles objects from cappex.com. All fields typed and schema-versioned.
"college_id": "CX-10492", "name": "University of Michigan", "location_city": "Ann Arbor", "location_state": "MI", "institution_type": "Public", "undergrad_enrollment": 32282, "acceptance_rate": 20.2, "graduation_rate": 93.0, "student_faculty_ratio": "15:1"
| # | college_id | name | location_city | location_state | institution_type | campus_setting |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Tuition & Financial Aid objects from cappex.com. All fields typed and schema-versioned.
"college_id": "CX-10492", "in_state_tuition": 16178.0, "out_of_state_tuition": 53232.0, "room_and_board": 12592.0, "average_aid_package": 21450.0, "percent_receiving_aid": 52.4, "application_fee": 75.0, "net_price_average": 17832.0
| # | college_id | in_state_tuition | out_of_state_tuition | room_and_board | average_aid_package | percent_receiving_aid |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Admissions & Deadlines objects from cappex.com. All fields typed and schema-versioned.
"college_id": "CX-10492", "early_decision_deadline": "2026-11-01", "regular_decision_deadline": "2027-02-01", "sat_math_25th": 690, "sat_math_75th": 790, "act_composite_25th": 31, "act_composite_75th": 34, "average_gpa": 3.9
| # | college_id | early_decision_deadline | regular_decision_deadline | sat_math_25th | sat_math_75th | sat_reading_25th |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Scholarship Listings objects from cappex.com. All fields typed and schema-versioned.
"scholarship_id": "SCH-4921", "title": "Women in STEM Excellence Award", "provider_name": "Tech Futures Foundation", "award_amount": 5000.0, "deadline_date": "2026-05-15", "gpa_requirement": 3.5, "target_demographic": "Female", "renewal_criteria": "Maintain 3.0 GPA"
| # | scholarship_id | title | provider_name | award_amount | deadline_date | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Student Reviews objects from cappex.com. All fields typed and schema-versioned.
"review_id": "REV-99214", "college_id": "CX-10492", "overall_rating": 4.5, "review_date": "2025-10-12", "category": "Academics", "review_text": "Rigorous coursework but professors are highly accessible.", "student_major": "Computer Science", "graduation_year": 2026, "helpful_votes": 42
| # | review_id | college_id | overall_rating | review_date | category | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Cappex scraper targets the entire platform structure. We extract institutional data, financial metrics, and user sentiment while bypassing bot detection and pagination limits.
Capture location, institution type, undergraduate enrollment, graduation rates, and student-faculty ratios for thousands of universities.
Extract in-state versus out-of-state tuition, room and board costs, average financial aid packages, and net price calculations.
Pull scholarship titles, award amounts, deadlines, eligibility criteria, and provider details from the Cappex scholarship database.
Track Early Decision and Regular Decision deadlines, SAT/ACT score ranges, average GPA requirements, and application fees.
Extract written reviews, star ratings, category specific scores, graduation years, and helpful vote counts.
Map available majors, minors, and degree programs offered by each institution to track academic trends.
Monitor the percentage of students receiving aid and the breakdown of grants versus loans per institution.
Capture student body demographics, housing statistics, and campus setting details.
Run one-off bulk exports or configure continuous pipelines to track application deadline updates and new scholarship postings.
Brief in. Clean data out.
Provide college target lists, state filters, or scholarship categories. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for cappex.com.
Schema validation, null-rate checks, data type verification, and sample record reviews before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting structured data from modern web applications requires bypassing security layers and dynamic rendering. Here is how we maintain stability.
Educational portals monitor traffic for scraping patterns. Our crawlers use US-based residential ISP proxies with realistic browser fingerprints and randomised request timing to avoid IP bans.
Cappex scholarship lists and college search results rely on dynamic loading. We execute JavaScript to trigger API calls and intercept the raw JSON responses for cleaner data extraction.
Website redesigns break brittle scrapers. Our selector strategy uses multiple fallback chains per field, combining CSS selectors, XPath, and JSON payload parsing to ensure data continuity.
We maintain a hash index of last-seen values per field. Subsequent runs only push diffs, which reduces compute cost and downstream processing load for tuition and deadline updates.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, missing tuition fields, and coverage drops. SLA uptime is contractual.
Educational technology companies analyse tuition trends and acceptance rates to build better college matching algorithms.
Financial institutions track average aid packages and net prices to develop targeted student loan products.
Researchers aggregate student reviews to measure campus satisfaction and academic rigor across different institution types.
Universities monitor peer institutions for changes in tuition costs, application deadlines, and scholarship offerings.
Test prep services target demographics based on published SAT and ACT score ranges for specific colleges.
Non-profits and counselors build internal databases of active scholarships, deadlines, and eligibility criteria.
"Cappex aggregates critical higher education data: tuition costs, acceptance rates, and scholarships. Extracting this at scale requires dedicated infrastructure."
Most teams underestimate the investment required. Reliable Cappex scraping requires residential proxies, full JavaScript rendering, CAPTCHA handling, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our cappex.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.
We maintain pools of residential ISP proxies across US regions. Rotation happens per request. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About cappex.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Cappex is generally permissible under applicable law. DataFlirt targets only public, non-authenticated college, tuition, and scholarship data. We do not extract personal user data or circumvent authentication walls. Clients should review Cappex Terms of Service and consult legal counsel for specific use cases.
We use US residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for 503 or CAPTCHA rate spikes in real time and trigger pool rotation automatically.
Full catalogue refreshes for colleges and scholarships complete within a 6 to 12 hour window depending on the target volume. Historical snapshots are available from the day your pipeline is commissioned.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series table per institution for tuition costs, acceptance rates, and application deadlines.
Our smallest packages start at a defined list of institutions or scholarship categories with weekly delivery. For full database extraction, we price based on volume and delivery frequency. Contact us for a scoped quote.
Yes. We extract paginated student reviews including the written text, overall star rating, category scores, and graduation year.
Yes. We provide a sample run of up to 100 college profiles or scholarship listings as part of the pre-engagement scoping process so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off export of college profiles or a continuous feed of scholarship deadlines, we scope, build, and operate the pipeline. Tell us what you need.
