🛍️ Bought Scraper

Want secondhand fashion and lifestyle deals from Bought without endless scrolling? This actor pulls live listings into clean CSV/JSON.

Pick a category, search by keyword or brand, set a price range — get titles, prices, sizes, images, and direct item links.

💡 Perfect for...

• Resale & pricing research: Track what Zara, Nike, H&M and others sell for secondhand.
• Assortment pulls: Grab women’s fashion, electronics, home, or kids’ items in one run.
• 🤖 AI Agents: Structured filters → listing rows with URLs (no brittle page clicking).
• 🔗 Workflows: Pipe results into n8n, Make, LangChain, CrewAI, and similar stacks.

✨ Why you'll love this scraper

• 📂 Browse by category — Women, Men, Kids, Home, Electronics, Sports, and more.
• 🔎 Search & brand filters — find “Nike”, “Zara dress”, or a specific label fast.
• 💶 Price & discount controls — min/max price and optional minimum discount %.
• ↕️ Sort your way — relevance, newest, price, discount, or trending.
• 🔗 Paste a URL — drop a Bought category or search link to start from there.
• 🌍 Multi-locale — English, German, Danish, Finnish, and other Bought languages.

📦 What's inside the data?

For every listing, you will get:

• Item: name, brand, description, category, size, colors
• Price: price, currency, purchase price, discount % (when available)
• Media & link: image URL and direct Bought item URL
• Extras: listing state, condition, likes, seller country, listed date

🚀 Quick start

1. Choose a locale (default English).
2. Pick a category (and optional subcategory), or set a search / brand.
3. Optionally add price limits, sort, or paste start URLs.
4. Set max items and click Start — export CSV/JSON when done.

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Tech details for developers 🧑‍💻

Inputs

Field	Description
start_urls	Optional Bought category/search URLs (overrides category when set)
locale	Site language for item links (en, de, fi, da, …)
category	Top category: women, men, kids-babies, home, electronics, …
subcategory	Optional path under the category (e.g. dresses, phones-tablets)
search	Keyword search
brand	Brand filter (e.g. Zara, Nike)
sort	relevance | newestFirst | priceAsc | priceDesc | discountDesc | trending | newestWeighted
price_min / price_max	Price range filter
min_discount	Minimum discount % vs original purchase price
currency	Optional currency hint (EUR, DKK, …)
max_items	Cap results (1–500, default 50)

Input Example (category):

{
  "locale": "en",
  "category": "women",
  "sort": "newestFirst",
  "max_items": 50
}

Input Example (search + brand):

{
  "locale": "en",
  "search": "sneakers",
  "brand": "Nike",
  "sort": "priceAsc",
  "currency": "EUR",
  "max_items": 30
}

Input Example (URL):

{
  "start_urls": ["https://bought.app/en/items/women?sort=relevance"],
  "max_items": 40
}

Output Example:

{
  "item_id": "b837e233-f8e3-4c89-8128-c16e01dfd75f",
  "name": "Beige linen wide-leg trousers",
  "brand": "Zara",
  "price": 129,
  "currency": "DKK",
  "size": "S",
  "colors": ["BROWN"],
  "category": "Women/Clothing/Trousers & leggings/Wide-leg trousers",
  "condition": "Satisfactory",
  "image_url": "https://login.bought.app/storage/v1/object/public/item_images/…",
  "url": "https://bought.app/en/item/b837e233-f8e3-4c89-8128-c16e01dfd75f",
  "locale": "en"
}