Unigo Scholarship Listings & Award Data Scraper

Scrape scholarship listings from Unigo, a major US scholarship-match directory. Returns scholarship name, award amount, application deadline, sponsor, eligibility criteria, and full description across every published category — by major, by state, athletic, military, merit-based, and more.

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Unigo Scholarship Scraper Features

• Extracts 8 fields per scholarship, including sponsor and eligibility criteria most scrapers skip.
• Covers Unigo's full category tree — by major, by state, athletic, military, merit-based, religious, contests, and a dozen more.
• Filters to specific categories, or leave it blank and get everything.
• Deduplicates automatically. A scholarship cross-listed under two categories only ever costs you one row.
• Resumable on large runs — pick up exactly where a previous run stopped, at no extra charge for records you already have.

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Who Uses Unigo Scholarship Data?

• Scholarship search platforms — merge Unigo's catalog with your own listings to widen coverage for students.
• Financial aid offices — cross-reference award amounts and deadlines against what your own students are finding.
• EdTech products — feed structured scholarship data into a matching engine or recommendation tool.
• Researchers and journalists — analyze award sizes, sponsor types, and eligibility patterns across a major scholarship catalog.
• Content and comparison sites — build category pages (by major, by state, by grade level) without re-typing every listing by hand.

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How Unigo Scholarship Scraper Works

1. Pick which categories to scrape, or leave the field empty for all of them.
2. The scraper walks Unigo's category tree, then each scholarship's own listing page, then its detail page for the fields that only live there — sponsor, eligibility, full description.
3. Set maxItems and it stops there. Records land in your dataset as they're found, so you can start using them before the run finishes.

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Input

{
  "maxItems": 500,
  "categories": ["athletic", "by-major"]
}

Field	Type	Default	Description
maxItems	Integer	10	Maximum number of scholarship records to save. Leave the run's default in place for a quick sample; raise it for a full pull.
categories	Array	(all)	Which category buckets to crawl — by major, by state, athletic, military, merit-based, religious, and the rest of Unigo's published directory. Leave empty to crawl every category.
resumeCursor	String	(empty)	Cursor from a previous run's Output. Leave empty for a fresh crawl.

Scrape everything:

{
  "maxItems": 5000
}

Scrape one category (e.g. scholarships for military members):

{
  "maxItems": 200,
  "categories": ["military"]
}

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Unigo Scholarship Scraper Output Fields

{
  "scholarship_name": "NCTA & AWMF Scholarship",
  "detail_url": "https://www.unigo.com/scholarships/weird/scholarships-for-being-short/ncta-awmf-scholarship",
  "award_amount": "$5,000",
  "deadline": "September 30, 2026",
  "eligibility": "Must be a female.; Must be a graduate or undergraduate student.; Must be a pursuing a degree in communications, media, or journalism.",
  "sponsor": "Alliance for Women in Media",
  "grade_level": "Undergraduate, Graduate",
  "description": "The winner will receive $5,000 towards tuition costs, payable in the Fall and the Spring semesters of the upcoming school year..."
}

Field	Type	Description
scholarship_name	String	Scholarship name
detail_url	String	Canonical URL of the scholarship's detail page on unigo.com
award_amount	String	Award amount as published (a dollar figure, or a term like "Varies")
deadline	String	Application deadline as published
eligibility	String	Eligibility criteria, joined from the published qualification list (falls back to a summary like "Varies" when no list is published)
sponsor	String	Organization or company that awards the scholarship
grade_level	String	Student level the scholarship targets (e.g. "High School", "Undergraduate", "Graduate"), derived from its eligibility and description text — null when no level is stated
description	String	Scholarship description as published

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Resuming a large crawl

Every run emits a resumeCursor in its Output. If a large crawl stops before it finishes — because it hit maxItems, your spend cap (maxTotalChargeUsd), or was aborted — start a new run with the same input plus that resumeCursor to continue from where it left off. The crawl resumes from the queued work the previous run didn't reach.

• You are not re-charged for records the earlier run already delivered.
• Resume within your account's run-retention window — on the free tier, roughly your 10 most recent runs. Once the source run is pruned, its resumeCursor is no longer valid.
• resumeCursor is opaque — supply it unmodified.

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FAQ

How do I scrape Unigo scholarships?

Set maxItems and, optionally, categories — leave categories empty and the run covers Unigo's whole published directory. No account or login required.

What data can I get from Unigo?

Unigo Scholarship Scraper returns scholarship name, award amount, deadline, sponsor, eligibility criteria, grade level, and a full description for every listing it finds, plus the canonical URL of the scholarship's own page.

Can I filter by category?

Yes. Pass one or more category slugs (athletic, by-major, by-state, military, merit-based, and so on) in categories. Leave it empty and you get every category in one run.

Does the same scholarship ever appear twice?

No. Unigo cross-lists scholarships under multiple categories — a merit-based award might also show up under "by-major" — and the scraper dedupes across categories, so you're only charged once per scholarship.

How much does Unigo Scholarship Scraper cost to run?

Pricing follows Apify's pay-per-event model, billed per scholarship record saved. Check the Pricing tab on this actor's page for the current rate.

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Need More Features?

Need custom fields, filters, or a different target site? File an issue or get in touch.

Why Use Unigo Scholarship Scraper?

• Fields most scrapers skip — sponsor and eligibility criteria come from the scholarship's own detail page, not just the listing card.
• Category coverage, not a slice — the scraper reaches Unigo's whole published tree (by major, by state, athletic, military, and more), so a category filter is a convenience, not a limitation.
• Deduplicated by design — a scholarship listed under two categories is still one row in your dataset.