Amazon Deals Products Scraper

Discover and export promotional listings from Amazon’s deals experience: product ASIN, titles, prices, savings, deal type, and links—saved as one row per deal, with a timestamp on each row.

Key Features

• Collect up to your chosen maximum number of deals; continues with offset paging until that limit or until there are no more results
• Identifiers and links: deal_id, product_asin, deal_url, canonical_deal_url (deal hub link), deal_photo
• Classification: deal_type (e.g. best-deal style), type (e.g. single-item vs multi-item), deal_state (e.g. availability)
• Copy and pricing: deal_title; deal_price / list_price as { amount, currency }; savings_percentage, savings_amount, deal_badge (short label like “26% off”)
• Timing: deal_starts_at, deal_ends_at (ISO 8601 when present; may be null on some listings)
• Filters: marketplace (country), optional categories, star / price / discount bands, brands, and toggles for Prime Early Access, Prime Exclusive, and Lightning-style deals
• Optional language and fields projection
• Each record includes scrapedAt (ISO 8601) when the row was written

Why Use It?

• Practical: Snapshot what is on promotion for a marketplace and filters you care about
• Structured: JSON rows suitable for sheets, alerts, or catalog tools
• Steady: Stops at your cap or when the API returns no further deals

Great For

• Deal monitoring and competitive pricing snapshots
• Building “today’s deals” feeds for a region
• Research on discount depth and deal types

Input Parameters

Parameter	Required	Description
maxResults	No	Maximum number of deal rows to collect (default: 48).
geo	No	Which country’s Amazon site to use (default: US). Pick UK for the United Kingdom marketplace.
categories	No	Optional category IDs, comma-separated.
min_product_star_rating	No	Minimum product rating band (ALL or 1–4).
price_range	No	Preset price band (ALL or 1–5).
discount_range	No	Preset discount band (ALL or 1–5).
brands	No	Optional brand filter when supported.
prime_early_access	No	Restrict to Prime Early Access deals.
prime_exclusive	No	Restrict to Prime Exclusive deals.
lightning_deals	No	Restrict to Lightning Deals.
language	No	Preferred language when supported (e.g. en_US).
fields	No	Comma-separated attributes if you want a narrower payload.

Output

Each dataset row is one deal. The actor appends scrapedAt (ISO 8601). Nested money objects use string amount and currency codes.

Field	Type	Description
deal_id	string | null	Short deal identifier used in the marketplace.
deal_type	string	Deal program or bucket (e.g. BEST_DEAL).
deal_title	string	Product or offer title.
deal_photo	string	Image URL for the offer.
deal_state	string	Availability-style state (e.g. AVAILABLE).
deal_url	string	Product or offer page URL.
canonical_deal_url	string	Deal landing URL (often /deal/{id}).
deal_starts_at	string | null	Offer start time (ISO 8601).
deal_ends_at	string | null	Offer end time (ISO 8601).
deal_price	object | null	Current deal price: { amount, currency }.
list_price	object | null	Reference list price: { amount, currency }.
savings_percentage	number	Percent off when provided.
savings_amount	object | null	Absolute savings: { amount, currency }.
deal_badge	string | null	Short badge text (e.g. discount label).
type	string	Row shape (e.g. SINGLE_ITEM).
product_asin	string	Product ASIN for the item in the deal.
scrapedAt	string	When this row was collected (ISO 8601).

Sample record

{
  "deal_id": "c396e712",
  "deal_type": "BEST_DEAL",
  "deal_title": "TurboTax Home & Business Desktop Edition 2025, Federal & State Tax Return [Win11/Mac14 Download]",
  "deal_photo": "https://m.media-amazon.com/images/I/71-jbdrZxVL.jpg",
  "deal_state": "AVAILABLE",
  "deal_url": "https://www.amazon.com/TurboTax-Business-Desktop-Federal-Download/dp/B0FWV2NJV5",
  "canonical_deal_url": "https://www.amazon.com/deal/c396e712",
  "deal_starts_at": "2026-03-10T07:00:00.000Z",
  "deal_ends_at": "2026-04-08T06:59:59.000Z",
  "deal_price": {
    "amount": "95.99",
    "currency": "USD"
  },
  "list_price": {
    "amount": "129.99",
    "currency": "USD"
  },
  "savings_percentage": 26,
  "savings_amount": {
    "amount": "34.0",
    "currency": "USD"
  },
  "deal_badge": "26% off",
  "type": "SINGLE_ITEM",
  "product_asin": "B0FWV2NJV5",
  "scrapedAt": "2026-03-24T03:28:26.438Z"
}

Notes

• Available deals and filters depend on the marketplace and season.
• Respect Amazon’s terms and applicable laws when using scraped data.