Pricing

from $1.59 / 1,000 results

Vinted Scraper

Extract Vinted items across 23 country sites as clean JSON with zero seller data - prices with buyer fees, brand, size, condition, demand signals. Newest-first monitoring, pay per result. Built for resale pricing, brand tracking and AI pipelines.

Pricing

from $1.59 / 1,000 results

Rating

0.0

(0)

Developer

Lowland Data

Actor stats

Bookmarked

Total users

Monthly active users

11 hours ago

Last modified

Categories

E-commerce

itemId

Required

Vinted item ID.

Type:string

Example:

9720000001

url

Required

Direct link to the item.

Type:string

Example:

https://www.vinted.fr/items/9720000001-t-shirt-de-foot

title

Required

Item title as posted.

Type:string

Example:

T-shirt de foot

brand

Optional

Brand shown on the item card.

Type:string | null

Example:

Nike

size

Optional

Size as displayed, e.g. "M" or "12 ans / 152 cm".

Type:string | null

Example:

12 ans / 152 cm

condition

Optional

Condition as displayed, in the site's language.

Type:string | null

Example:

Très bon état

priceCents

Optional

Item price in minor units (cents/pence) of the currency.

Type:integer | null

Example:

500

currency

Optional

Currency of the selected site, e.g. EUR, GBP, PLN.

Type:string | null

Example:

EUR

serviceFeeCents

Optional

Buyer protection fee in minor units.

Type:integer | null

Example:

totalPriceCents

Optional

Total buyer price including the fee, in minor units.

Type:integer | null

Example:

595

businessSeller

Optional

True when sold by a professional seller. Seller identity is never collected.

Type:boolean

Example:

false

promoted

Optional

True for paid promoted placements.

Type:boolean

Example:

false

favouriteCount

Optional

How many users favourited the item - a demand signal.

Type:integer

Example:

viewCount

Optional

View count when reported by the site.

Type:integer

Example:

imageUrls

Optional

Item photo URLs (up to 8).

Type:string[]

Example:

[
  "https://images1.vinted.net/t/example/f800/1.webp"
]

normalizedBrand

Optional

AI analysis (aiAnalysis: true): canonical brand name, "unbranded" when none. Absent on standard runs.

Type:string

Example:

Nike

normalizedCategory

Optional

AI analysis: one of a fixed category set (tops, shoes, bags, ...) for cross-seller comparison. Absent on standard runs.

Type:string

Example:

tops

conditionScore

Optional

AI analysis: condition normalized to 1 (heavily worn) - 5 (new), language-independent. Absent on standard runs.

Type:integer

Example:

listingQuality

Optional

AI analysis: excellent, good, fair or poor - completeness and consistency of the listing. Absent on standard runs.

Type:string

Example:

good

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