From food to tech to travel: the best student deals and discounts
You can save money at university, especially using schemes such as UNiDAYS, Student Beans or TOTUM ‘Watch your spending, use free perks’: an insider’s tips on student money With rents on the up and food costing more, maintenance loans are stretched thinner than ever. Knowing how, and where, to get a discount can make a real difference. A golden rule is to register with the big discount websites and apps – UNiDAYS, St
Open original article- Ledger record
- #107
- First seen
- 17 Aug 2026, 21:26 UTC
- Last checked
- 24 Aug 2026, 09:55 UTC
- Version history
- 1 version
- Current fingerprint
6cfd60d76860...88d8d3
Publisher layer
Recorded article metadata
- Publisher
- The Guardian
- Country
- England / United Kingdom
- Source published
- 15 Aug 2026, 09:00 UTC
- Source updated
- No update timestamp supplied
- Byline
- Joe Pinner
- Section
- Student finance
You can save money at university, especially using schemes such as UNiDAYS, Student Beans or TOTUM ‘Watch your spending, use free perks’: an insider’s tips on student money With rents on the up and food costing more, maintenance loans are stretched thinner than ever. Knowing how, and where, to get a discount can make a real difference. A golden rule is to register with the big discount websites and apps – UNiDAYS, St
Change layer
Observed version timeline
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1
From food to tech to travel: the best student deals and discounts
You can save money at university, especially using schemes such as UNiDAYS, Student Beans or TOTUM ‘Watch your spending, use free perks’: an insider’s tips on student money With rents on the up and food costing more, maintenance loans are stretched thinner than ever. Knowing how, and where, to get a discount can make a real difference. A golden rule is to register with the big discount websites and apps – UNiDAYS, St
Changed fieldstitlebylinedescriptionTextcontentTextsourcePublishedAtsourceUpdatedAtsectionimageUrltags- Version SHA-256
6cfd60d76860...88d8d3- Capture SHA-256
2bce3d4df01c...722802
Interpretation layer
Labels with declared origins
Publisher categories are copied from source metadata. Machine signals report observable wording or format and do not determine truth, intent, ethics, or wrongdoing.
- machine content-type Reported news observable-rules-v1 / 70% rule confidence
- publisher category Consumer affairs rss-category
- publisher category Education rss-category
- publisher category Higher education rss-category
- publisher category Money rss-category
- publisher category Saving money rss-category
- publisher category Student finance rss-category
- publisher category Students rss-category
- publisher category UK cost of living crisis rss-category
- publisher category UK news rss-category
- publisher category Universities rss-category
Public response layer
Reception snapshots
Comment counts and samples remain absent until a lawful, source-specific capture method is reviewed. Absence is recorded instead of estimated.
Evidence layer
Capture provenance
- Capture ID
- #1
- Observed
- 17 Aug 2026, 21:26 UTC
- HTTP result
- 200 / parsed
- Raw payload
- 460,621 bytes, private gzip evidence
- Collector
- news-ledger/0.1
- Public boundary
- metadata and excerpt