Judge the work the page does for you
Link count is a poor measure of usefulness. A smaller list can be better when it groups similar products, names the item clearly, keeps the image beside the correct link, and gives enough sizing or source context to reject weak rows without opening them.
The question is simple: after one screen of browsing, do you know more—or do you merely have more places to look?
The 90-second usefulness test
Category depth
Can you reach a meaningful group such as shoes, hoodies, bags, or watches without scanning unrelated products?
Row identity
Can you tell what the item is, which option is pictured, and why the row belongs in that category?
Decision evidence
Are measurements, useful photos, material notes, source clues, or weight context visible before the click?
Freshness clues
Do links still resolve to the described item, or are redirects, removed listings, and changed variants common?
Duplication
Are repeated items meaningful alternatives, or is the same popular listing used to make the list look larger?
Phone usability
Can you read names, notes, and destinations without losing the row or zooming across a wide table?
Classify the list before using it
Freshness is more than a date in the title
A recent year does not prove that every row was reviewed recently. Open a small sample from the category you care about and record what happens: exact match, changed option, redirected page, removed listing, or unrelated destination. A list can remain useful with a few dead links if its structure is strong, but a high mismatch rate means the page should not drive a final decision.
Check three to five rows in one category. You are looking for a repeating pattern, not checking every product on the page.
Keep one short comparison note
Category:The single product type I checked.
Rows opened:How many links were in the sample.
Exact matches:How many destinations still matched the row.
Useful context:Which measurements, photos, source details, or weight notes were available.
Decision:Comparison-ready, lead list, or tab trap.
If the list fails the test
Do not compensate by opening every link. Move to one category, search for the exact missing detail, or use a better-structured index. The best recovery is usually a narrower comparison set, not a larger spreadsheet.