DealSeek Scraper — Deals & Promo Codes

Turn any DealSeek URL or keyword into structured deal rows: stacked discounts, typed promo codes, checkout coupons, merchant, category, and Amazon links.

Live public API. No browser. JSON or CSV out.

Input	Row(s) emitted
Homepage, /hot, /top	Live deal feed
/promo-codes	Deals that include a typed promo code
/brand/{name}	Deals matching that brand query
/dp/{ASIN}	That ASIN, if it is still on the live feed
query keyword or ASIN	Matching deals (?query=)
category	Matching Amazon category (Tech, Electronics, …)

Pure HTTP against https://api.dealseek.com/deals. No browser, no Cloudflare bypass.

Why Use This Scraper?

• Live feed, not a stale HTML scrape
• Promo codes and clip-at-checkout coupons on the same row
• Search by keyword or ASIN, or paste any dealseek.com URL
• Discount sort plus promo-only, coupon-only, and minimum-% filters
• DealSeek and Amazon links on every row

Overview

DealSeek lists verified markdowns across Amazon and other retailers. This actor reads the same public JSON API the Android app uses and writes one dataset row per deal.

Each row has identity (dealId, asin), money (price, discountedPrice, listPrice, discountPercentage), codes (promoCode, couponValue), merchant, category, ratings, and URLs.

This is a feed scraper. It does not open Amazon checkout, verify a code at Amazon, or read logged-in DealSeek wishlists.

Supported Inputs

Copy-pasteable startUrls:

https://dealseek.com/
https://dealseek.com/hot
https://dealseek.com/promo-codes
https://dealseek.com/brand/apple
https://dealseek.com/dp/B07KSY789L

Keyword / ASIN mode: set query to airpods or B07KSY789L. A /dp/{ASIN} or /brand/{name} start URL wins for that URL.

Unsupported: DealSeek account data, wishlists, and the unpublished deals:read OAuth scope. The website OpenAPI routes (/api/verify-promo, /api/report-deal) are not this actor's source.

Use Cases

Who	Why
Retail arbitrage	Watch markdowns and codes as they land
Price research	Stacked discount % vs list vs deal price
Affiliate / content	Promo codes with last-updated timestamps
Category monitoring	Tech or Electronics feeds on a schedule

How It Works

1. Classify each start URL (feed, brand, promo listing, or /dp/{ASIN}).
2. Call GET https://api.dealseek.com/deals with page, limit, and optional query / category / sortBy.
3. Normalize each API object into a stable row.
4. Apply optional client filters (promo-only, coupon-only, minimum discount).
5. Write one dataset row per unique deal_hash.

Input Configuration

Field	Type	Required	Notes
startUrls	array	no	Homepage, /hot, /top, /promo-codes, /brand/{name}, /dp/{ASIN}
query	string	no	Keyword or ASIN (?query=)
category	string	no	Exact DealSeek spelling (Tech, Electronics)
sortBy	enum	no	default or discount
onlyPromoCodes	boolean	no	Keep typed promo codes only
onlyCoupons	boolean	no	Keep checkout coupons only
minDiscountPercent	integer	no	Drop weaker markdowns
maxItems	integer	no	Cap (free users: 100). Default 100
proxy	object	no	Off by default — the API is open

q, search, has_promo_code, and collection query params are ignored by the API. Promo/coupon filters run after fetch.

Example input

{
  "startUrls": ["https://dealseek.com/"],
  "maxItems": 100
}

Search:

{
  "query": "airpods",
  "maxItems": 50
}

Promo codes only, steepest first:

{
  "sortBy": "discount",
  "onlyPromoCodes": true,
  "minDiscountPercent": 30,
  "maxItems": 100
}

Output Overview

One JSON object per deal. Prices are numbers. Empty strings from the API become null. Unique key is dealId (deal_hash).

Output Samples

Feed or /dp/{ASIN} (live row, 2026-09-20):

{
  "type": "deal",
  "source": "dealseek",
  "dealId": "B07KSY789L-AP0PU5267UGRL-24.99-10.49-A1MIFLO2CFMTMY-20%----0-38.02-1789961100-50.00",
  "asin": "B07KSY789L",
  "parentAsin": "B07S2J82NB",
  "title": "KRISHNA Ruffled Bed Skirt with Split Corners King, 100% Microfiber Hotel Quality, 18 Inch Drop Dust Ruffle Gathered Bedskirt with Platform, 78\" x 80\", Ivory",
  "dealUrl": "https://dealseek.com/dp/B07KSY789L",
  "amazonUrl": "https://www.amazon.com/dp/B07KSY789L",
  "brandName": null,
  "merchantName": "WakeyWakey",
  "merchantId": "AP0PU5267UGRL",
  "category": "Home & Kitchen",
  "subcategory": "Bedding",
  "price": 24.99,
  "discountedPrice": 10.49,
  "listPrice": 30.99,
  "discountPercentage": 66.15,
  "priceDropPercentage": 32.28,
  "couponValue": "20%",
  "promoCode": null,
  "hasCoupon": true,
  "hasPromoCode": false,
  "hasPriceDrop": true,
  "image": "https://m.media-amazon.com/images/I/71sYexyumqL._AC_SL1500_.jpg",
  "avgRating": 4.4,
  "ratingsCount": 1263
}

Key Output Fields

Group	Fields
Identity	dealId, asin, parentAsin, title
Links	dealUrl, amazonUrl
Money	price, discountedPrice, listPrice, discountPercentage, priceDropPercentage
Codes	promoCode, couponValue, hasPromoCode, hasCoupon
Merchant	merchantName, merchantId, brandName, isFba
Taxonomy	category, subcategory, discounts
Social	avgRating, ratingsCount, likesCount
Dates	createdAt, lastUpdated, expiredAt, scrapedAt

FAQ

Does this decompile the APK? No. The app talks to api.dealseek.com. That host is public (GET /deals, GET /collections, GET /health).

Why is brandName often null? The API leaves it empty on many rows. merchantName is the reliable seller field.

Can I page forever? The feed keeps returning deals well past page 100. Use maxItems.

Single deal URL returned nothing? The ASIN may have dropped off the live feed. Try query with the ASIN.

Do I need a proxy? Not by default. Turn one on only if your run IP is blocked.

Pricing

Event	When	Rate
Actor start	Once per run, per GB of memory	$0.005
Deal	Each row written to the default dataset	$0.002 ($2 / 1,000 deals)

Failed fetches and empty pages are not billed as deals. Free Apify users are capped at 100 rows per run.

What makes this richer than the competition

There is no other DealSeek actor on the Store. Nearby deal scrapers (Slickdeals, DealNews, Groupon) return community posts, not DealSeek's verified feed with stacked discount math and typed promo codes.

Notes & limitations

• /deals/{asin} does not exist; single-ASIN lookup uses ?query={asin}
• Collection slugs from GET /collections are not a /deals filter
• Category must match DealSeek's spelling (Tech works; tech returns [])
• brandName is often empty; use merchantName

Support

Open an issue on the actor page. Profile: apify.com/memo23.

Additional Services

Custom fields, scheduled monitors, and private feeds — ask on the actor issues tab.

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Full list at apify.com/memo23.

🤖 For AI Agents & LLM Apps

Compact reference for AI agents calling this actor via the Apify MCP server or the Apify API (actor: memo23/dealseek-scraper).

Purpose: scrape live DealSeek deals from the public JSON API; one row per deal with prices, promo codes, coupons, merchant, and Amazon URL.

Minimal input:

{ "startUrls": ["https://dealseek.com/"], "maxItems": 20 }

Output: one dataset row per deal — dealId, asin, title, dealUrl, amazonUrl, price, discountedPrice, listPrice, discountPercentage, promoCode, couponValue, hasPromoCode, hasCoupon, merchantName, category, image, scrapedAt.

Behaviors an agent should know:

• Always set maxItems; the feed pages past 100
• /dp/{ASIN} and /brand/{name} override query for that URL
• onlyPromoCodes / onlyCoupons / minDiscountPercent run after fetch
• Free users are capped at 100 rows
• Billing: $0.005 actor start (per GB) + $0.002 per deal row; empty pages are not charged
• No login, wishlist, or Amazon checkout verification

⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by DealSeek LLC or Amazon.com, Inc. or any of their subsidiaries. All trademarks mentioned are the property of their respective owners.

The scraper accesses only publicly available DealSeek HTTP API listings — no authenticated endpoints, paid features, or content behind a DealSeek login wall. Users are responsible for ensuring their use complies with dealseek.com's Terms of Service, Amazon's Terms of Service, applicable data-protection law (GDPR, CCPA, etc.), and any contractual obligations of their own organization.

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