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Vinted Scraper 💪

Deprecated

See alternative Actors

Developed by

space game

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

0.0 (0)

Pricing

$20.00/month + usage

Total users

Monthly users

Runs succeeded

Last modified

3 months ago

E-commerce

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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