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College Board BigFuture Colleges Scraper

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from $5.43 / 1,000 results

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College Board BigFuture Colleges Scraper

College Board BigFuture Colleges Scraper

Scrapes college profiles from College Board BigFuture search results. Returns each college as a flat row with admissions data, costs, majors, and campus details. Filter by state, type, or keyword.

Pricing

from $5.43 / 1,000 results

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ParseForge

ParseForge

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1

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11 days ago

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College Board BigFuture Colleges Scraper

Scrape college profiles from College Board BigFuture by state, type, or keyword, up to a million per run. Each profile includes admissions data, costs, majors, campus life details, and application deadlines. Export to CSV, JSON, Excel, or XML.

College Board's BigFuture site is the definitive source for US college data, but manually searching and copying profile details for hundreds of schools is slow and error-prone. This Actor reads the public college search results directly, letting you filter by state, ownership type, or a free-text name query. It returns every matching college in a consistent, flat schema ready for analysis.

Who uses itWhat they scrape College Board BigFuture for
High school counselorsBuild a tailored college list for a student based on location and school type.
Educational researchersAnalyze tuition trends and admission rates across public and private institutions.
College admissions consultantsCompare program offerings and campus profiles to advise applicants.
EdTech product managersPopulate a college search tool with accurate, up-to-date institutional data.

What it does

This Actor collects college profiles from College Board BigFuture search results and returns each one as a flat row with admissions stats, costs, and campus information.

  • πŸ›οΈ State filter: Narrow results to a single US state using its 2-letter postal code.
  • 🏫 Type filter: Select only public, private, or for-profit institutions.
  • πŸ” Keyword search: Find colleges by name or a partial keyword match.
  • πŸ“Š Structured output: Every college returns as one row with admissions, cost, and academic fields.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with College Board BigFuture data

πŸ“‹ Build a regional college list.

A counselor sets the state to 'TX' and type to 'Public' to generate a spreadsheet of every public university in Texas for a student's application shortlist.

πŸ’° Compare tuition costs.

A researcher runs the Actor with no filters to collect all available colleges, then analyzes in-state and out-of-state tuition trends by region.

πŸŽ“ Audit program availability.

An EdTech company searches for 'Engineering' to identify every college offering engineering majors and populates their program-matching tool.

πŸ“Š Track institutional profiles.

A data analyst schedules weekly runs to monitor changes in admission rates and enrollment numbers across a watchlist of private colleges.

Why choose this scraper

What you get
No API key requiredAccess public BigFuture data without registering a developer account.
Bulk collectionGather up to a million college profiles in a single run.
Fixed schemaEvery row shares the same fields, making analysis and database imports straightforward.
Targeted filteringCombine state, type, and keyword to narrow results before collection.

How it compares

No other Store actor targets College Board BigFuture the same way, so the honest comparison is with the alternatives teams actually weigh.

College Board BigFuture Colleges ScraperBuild it in-houseBy hand
SetupRun it now, zero configDays of engineeringNone, but hours per pull
When College Board BigFuture changesMaintained for youYou fix itYou re-learn the page
Proxies, retries, anti-botBuilt inYour problemBrowser only
OutputFixed JSON schema, CSV/Excel exportWhatever you buildCopy-paste
CostPay per resultEngineering timeAnalyst hours

Configure the run

Drive the Actor with a state, college type, and a free-text name query, alone or together, and filters run as each result is read so only matches reach your dataset. The Input tab lists every parameter.

A first run with the defaults:

{
"maxItems": 10
}

A larger pull:

{
"maxItems": 200
}

Pricing

Pay-per-result: $0.006 per result collected. You pay only for the results written to your dataset.

Results collectedApproximate cost
100 results$0.60
1,000 results$6.00
10,000 results$60.00

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

  1. Create a free Apify account with $5 in credit.
  2. Open the College Board BigFuture Colleges Scraper.
  3. Set your inputs and any filters, then click Start.
  4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to College Board BigFuture through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/college-board-bigfuture-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results?

Check that your filters are not too restrictive. Try running with only a state or only a keyword first. If a state code is used, verify it is a valid 2-letter US postal abbreviation.

The run finished but collected fewer items than my maxItems setting.

This means the Actor exhausted all matching results on BigFuture. Try broadening your filters or removing the keyword query to capture more colleges.

Some fields are empty in my results.

BigFuture does not display every data point for every college. If a profile page omits a statistic, that field will be empty in your dataset.

The Actor is running slowly.

The Actor respects the site by pacing requests. If you are collecting a very large number of colleges, the run will take longer. Reduce maxItems or narrow your filters for faster results.

FAQ

QuestionAnswer
What data does this Actor return for each college?It returns the profile data visible on BigFuture, including location, admissions statistics, tuition and fees, enrollment numbers, available majors, campus housing, and application deadlines. The exact fields are shown in the sample output on the Actor's page.
Can I filter by more than one state at a time?The state input accepts a single 2-letter code per run. To collect colleges from multiple states, run the Actor once per state and merge the datasets.
Does this Actor require a College Board account or API key?No. It reads the publicly available BigFuture college search pages, so no login, account, or API key is needed.
How many colleges can I scrape in one run?You set the maximum with the 'Maximum colleges' input, up to 1,000,000. The Actor stops when it reaches that number or when no more matching results exist.
What is the difference between the 'type' filter and the 'query' field?The 'type' filter selects by ownership (public, private, for-profit). The 'query' field performs a free-text search against the college name. You can use both together to narrow results.
Can I get data on community colleges?Yes. If a community college is listed on BigFuture, it will appear in results. Use the 'Public' type filter and a state code to focus on public two-year institutions in a specific state.
How often is the data updated?The Actor reads live data from BigFuture on each run, so you always get the profiles currently displayed on the site.
What export formats are supported?Your dataset can be exported in CSV, JSON, Excel, XML, and several other formats directly from Apify's storage.

Browse the full ParseForge collection for more scrapers.

πŸ†˜ Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by College Board. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.