Platform · US universities and colleges

US College Course Data

The published price and the price students pay are different numbers, and only one of them is a price list.

US college course data combines institutions' published programme catalogues and tuition schedules with the federal datasets that already exist: IPEDS and the College Scorecard. Public institutions publish in-state and out-of-state tuition separately, so residency is a field. Institutions must host net price calculators; those are calculators, not price lists, and are never run with invented student details. Every fee carries its unit, student category and academic year with a reference to the page or PDF it came from, and no student, applicant or login-gated data is ever collected.

Official datasets answer some questions already. Where they do, they are used rather than re-scraped.

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Free pilot on your own US universities and colleges list, returned in 24 hours. No card, no trial clock — and you keep the sample data either way.

us_colleges_sample.jsonl LIVE FEED

{"residency":"in_state","tuition":11250,"tuition_unit":"per_year"} {"residency":"out_of_state","tuition":31400} {"mandatory_fees":"itemised","federal_dataset_ref":"IPEDS, as published"}

illustrative sample rows · USpublished price, published data · schema v1.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to US universities and colleges or its owners. US universities and colleges and related marks belong to their respective owners, used here only to name the publicly accessible source this service collects from.

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US universities and colleges at a glance

How we handle US universities and colleges specifically

Platform-specific handling, not a generic retail template pointed at a different domain.

Sources: Institution sites, IPEDS, College Scorecard
Tuition: In-state and out-of-state apart
Fees: Mandatory fees itemised
Net price: Calculators, not price lists
Common Data Set: Where institutions publish it
Federal data: Used as published, attributed
So: residency, unit and year on every fee
Refresh: Termly; annually for federal data

Platform specifics

Published price, published data

These are the reasons a US universities and colleges dataset needs its own handling rather than a shared retail schema.

Tuition records

Tuition is often per credit hour for part-time study and per term for full-time, at the same institution.

residency — in_state, out_of_state, international — per figure.
tuition_unit — per_credit, per_term, per_year — as stated.
mandatory_fees itemised beside tuition.
federal_dataset_ref where a figure comes from IPEDS or the Scorecard.

Calculators, and what we do not do

Net price calculators

Net price depends on a family's finances; calculators are never filled in with invented details, and no net price is estimated. Published averages from federal datasets are used instead, attributed.

Fee units

A fee whose unit cannot be determined is marked unresolved rather than guessed, as the education hub describes.

What we do not do

Run net price calculators with invented details, collect student or applicant records, use admissions portals, or estimate financial aid.

Scope

What we collect on US universities and colleges, and what we do not

The right column matters more than the left. Anyone can list fields; the limits are what tell you whether the dataset will hold up.

✅ What we collect

Programme catalogues per institution
Residency on every tuition figure
Units as stated
Mandatory fees itemised
Federal datasets attributed
Common Data Set where published
Academic year pinned
Source reference per fee
Termly refresh

❌ What we do not, and why

Net price calculators filled in
Student or applicant records
Admissions portals
Estimated aid or net price
Modelled enrolment

Core US universities and colleges fields

The full dictionary is agreed during scoping. These are the fields specific to this platform.

Field	What it is on this platform
programme_id / institution	Stable identity
state / control	Public or private
level / mode	As published
credits	As published
tuition_in_state / out_of_state / international	USD
tuition_unit	per_credit, per_term, per_year
mandatory_fees	Itemised
academic_year	Pinned
federal_dataset_ref	IPEDS or Scorecard
entry_requirements	As published
fee_source_ref	Page or PDF

Use cases

What teams do with US universities and colleges data

Market sizing

Provision by state and field.

Price benchmarking

Sticker prices by residency.

Programme mapping

Fields offered by institution.

Public data joins

Institution pages beside federal data.

The 24-hour sample — run on your sources, not ours

Send us a US universities and colleges item or category list. We run real collection against it and return the output within 24 hours, with the platform-specific fields populated so you can check them yourself rather than take our word for it.

Real extraction from your actual sources
Returned within 24 hours
Coverage and QA note included
You keep the data either way
No card, no trial clock
Named engineer on the call

Get my free sample Book a 20-min scoping call Reply within one business day. Reference calls available under NDA.

How we engage

Three ways to engage us

Same collection pipeline and QA underneath. The difference is who holds the schedule and how the data reaches you.

Managed service (most common)

We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.

Dedicated engineer assigned to your account
Site changes fixed by us, not reported to you
Scheduled delivery to your warehouse or S3
Named contact on Slack or email

Best fit: Teams who need the data, not the infrastructure.

API access

The same collection pipeline exposed as an authenticated REST endpoint your systems query directly.

On-demand and scheduled endpoints
Rate limits agreed to your load profile
Sandbox keys for integration testing
Versioned schema with deprecation notice

Best fit: Product and engineering teams building on live data.

One-time or project extraction

A defined pull for a specific question — market sizing, diligence, a pitch, a one-off audit.

Fixed scope agreed in writing upfront
Single delivery with full QA report
Methodology documented for your records
Converts to managed if you want continuity

Best fit: Research, strategy and diligence work with a deadline.

Pricing

Every engagement is quoted individually, because the honest answer depends on your scope: how many sources, how many records, how often, and how the data reaches you. We scope it with you, run a free pilot on your own sources, and then quote a fixed monthly figure — no per-request metering and no overage billing when volumes move. Request a quote and you will have a number after one call.

US universities and colleges is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. US universities and colleges data becomes useful when it sits next to the competitor set on one schema, refreshed on one schedule, so a price index or availability comparison is genuinely like-for-like.

That is what education & edtech data covers, and a US universities and colleges-only engagement can be expanded into it without rebuilding. If you already know you need several platforms, start there instead — it is the same pipeline and usually the better scoping conversation.

FAQ

US universities and colleges data scraping: frequently asked questions

Platform-specific questions, including what cannot be collected here.

Yes, as published federal data, attributed, alongside institutions' own pages.

No. Calculators need personal details we never invent.

Because public institutions charge in-state and out-of-state rates.

Never.

Collected where institutions publish it.

It depends on institutions and programmes.

Talk to us.

See real US universities and colleges data before you commit to anything

Send us an item or category list. We return the output within 24 hours with the platform-specific fields populated.

Get a free sample Talk to an engineer

Free pilot, no card, no obligation. If we cannot collect a field you need on this platform, the sample shows you that too.

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