Vinted Scraper 💪

Deprecated

Pricing

$20.00/month + usage

See alternative Actors

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Vinted Scraper 💪

Deprecated

See alternative Actors

🛍️ Vinted Data Scraper 🔍 Allows you to scrape online listings in a robust and reliable way ✅

Pricing

$20.00/month + usage

Rating

0.0

(0)

Developer

space game

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

10 months ago

Last modified

Vinted Marketplace Scraper

Scraper professionnel pour le marketplace Vinted permettant d'extraire des données détaillées sur les articles en vente avec gestion avancée des paramètres de recherche.

🚀 Fonctionnalités

🔍 Recherche avancée avec 15 paramètres filtrables
📊 Extraction de 20+ données par article (détails produit + vendeur)
⚡ Traitement asynchrone pour haute performance
🔒 Rotation automatique d'IP via Apify Proxy
📦 Stockage structuré des résultats (JSON/CSV/Excel)
🛠️ Interface de configuration intuitive
📈 Pagination automatique des résultats
🚨 Gestion robuste des erreurs et relances automatiques

📥 Configuration des Entrées

Paramètres Principaux

Paramètre	Description	Valeurs Possibles	Obligatoire
`base_url`	Catégorie de recherche	`catalogue`, `vetements pour femme`, `vetements pour homme`	Oui
`search_text`	Terme de recherche libre	Texte libre	Non
`order`	Tri des résultats	`newest_first`, `price_low_to_high`, `price_high_to_low`, `relevance`	Oui
`currency`	Devise des prix	`EUR`, `USD`	Oui
`nb_article`	Nombre d'articles/page	1-15	Oui
`numero_page`	Pagination des résultats	≥1	Oui

Filtres Avancés

Paramètre	Description	Exemples de Valeurs
`price_from`	Prix minimum	`50` (50 EUR/USD)
`price_to`	Prix maximum	`200` (200 EUR/USD)
`size_ids`	IDs des tailles	Voir Référence des Tailles
`brand_ids`	IDs des marques	Voir Référence des Marques
`status_ids`	État des articles	Voir Référence des États
`color_ids`	IDs des couleurs	Voir Référence des Couleurs

📤 Format de Sortie

Chaque article retourné contient ces données :

{
  "title": "Chaussures Nike Air Max",
  "price": "89.90 EUR",
  "brand": "Nike",
  "url": "https://www.vinted.fr/items/123456789",
  "size": "43",
  "condition": "Neuf avec étiquette",
  "color": "Noir",
  "location": "Paris, France",
  "views": "256",
  "interested_members": "15",
  "added_at": "il y a 2 heures",
  "seller_name": "Jean_Dupont",
  "seller_location": "Lyon",
  "num_ratings": "42",
  "seller_rating": "4.8/5",
  "payment_options": ["Vinted Protection", "Livraison en point relais"]
}

📌 Référence des IDs

🧥 États des Articles (status_ids)

ID	État
1	Neuf sans étiquette
6	Neuf avec étiquette
2	Très bon état
3	Bon état
4	Satisfaisant
7	Certaines pièces ne fonctionnent pas

🎨 Couleurs (color_ids)

ID	Couleur
1	Noir
12	Blanc
9	Bleu
4	Beige
15	Multicolore
3	Gris
7	Rouge
5	Rose
10	Vert
6	Violet

👟 Tailles Populaires (size_ids)

Catégorie	ID	Taille
Homme	209	L
Homme	210	XL
Chaussures	1364	34
Chaussures	55	35
Chaussures	57	37

🏷️ Marques Populaires (brand_ids)

ID	Marque
53	Nike
14	Adidas
12	Zara
94	Tommy Hilfiger
120	Hugo Boss
115	Sandro
161	Diesel
11	American Vintage
44	Timberland
139	Vans

🛠️ Utilisation

Sur Apify Platform

Déployez l'Acteur depuis le Store Apify
Configurez les paramètres dans l'interface visuelle
Exécutez le scraper
Téléchargez les résultats en JSON

Via API Python

from apify_client import ApifyClient

client = ApifyClient("VOTRE_API_KEY")

run_input = {
    "base_url": "vetements pour homme",
    "search_text": "chaussures running",
    "order": "price_low_to_high",
    "currency": "EUR",
    "price_from": 30,
    "price_to": 100,
    "size_ids": [209, 210],
    "brand_ids": [53],
    "status_ids": [1, 6],
    "nb_article": 15,
    "numero_page": 1
}

run = client.actor("VOTRE_ACTOR_ID").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

🤝 Support

Pour toute question ou problème :

Email : alexisliseb@gmail.com

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