SNYPD website and public market data

SNYPD monitors public Vinted searches and alerts on new matching listings. It does not buy items, sign into Vinted accounts, or monitor price drops on existing listings.

Reuse the aggregate market data

Edition	Report and methodology	CSV	Metadata
October 2026	Report	CSV	Metadata
November 2026	Report	CSV	Metadata

The published report datasets use CC BY 4.0. Credit SNYPD and link to the dated report when reusing them. This data licence does not separately license the website code, logos, photographs or other assets.

These are asking prices observed on vinted.be, not completed-sale prices or country-specific estimates for every European marketplace. Searches are selected by SNYPD users rather than a representative census. Item samples can overlap. Each metadata file documents the observation window, marketplace, units, columns, quality rule, row count, source URL and CSV checksum.

The CSVs contain one header and rectangular data rows. Source and licence details live in their linked metadata rather than an irregular trailing comment row. No seller identifiers, user accounts, listing descriptions or photographs are included in these aggregate exports.

Useful public tools

• Price guide and methodology
• Price checker
• Italian price-checker pilot
• Italian model-guide pilot

Existing item URLs without a defensible overall estimate retain useful condition data and limits. They are excluded from overall-price estimates rather than being given an invented median. The November data correction is described on the report.

Reproduce and verify publication

Canonical observations and content live under ops/seo/. Keep generated pages, machine-readable summaries and downloads synchronized:

python3 ops/seo/gen_content.py
python3 ops/seo/gen_price_guide.py
python3 ops/seo/gen_reseller.py
python3 ops/seo/gen_expansion.py
python3 ops/seo/gen_market_report.py
python3 ops/seo/gen_regions.py
python3 ops/seo/gen_search_assets.py
python3 -c "import sys; sys.path.insert(0, 'ops/seo'); import prepublish; prepublish.write_sitemap()"
python3 ops/seo/test_search_publication.py
python3 ops/seo/check_site.py
python3 ops/seo/audit_search.py

The normal prepublish command additionally refreshes the public listings counter from its existing API. The commands above regenerate local artifacts without that network refresh. See ops/seo/MEASUREMENT.md for event definitions and account-side measurement work.

The optional llms.txt files are navigation summaries generated from the same public sources. They are not access controls, ranking guarantees, or a replacement for crawlable, useful HTML.