Slickdeals Scraper [Only $3/1K💰] | Coupons | Deals Data

Slickdeals Scraper — Deals Data, Coupon Codes & Price Drop Monitoring

Extract Slickdeals deals data — deal title, price, list price, discount %, coupon code, store, thumb votes, category, poster and posted date — for price drop monitoring, retail arbitrage sourcing, coupon harvesting, and deal-aggregator content. Runs on Slickdeals' public RSS/JSON feeds — no browser, no Cloudflare challenges — and returns structured JSON rows in seconds. $0.003 per deal — the cheapest Slickdeals actor verified on Apify.

Main Use Cases

• Price drop monitoring — track a product keyword (e.g. oled, lego star wars) and catch restocks and price drops the moment the community posts them.
• Retail arbitrage sourcing — filter by minimum community thumb score (minThumbs) for vetted deals, with store, price and coupon code attached.
• Coupon harvesting — pull the featured-coupons feed for fresh promo codes per merchant.
• Deal-aggregator content — populate daily-deals emails, deal roundups and "best of today" pages with community-voted deals.
• Market research — track which merchants dominate the frontpage and how thumb scores evolve.

How It Works

Looking for a Slickdeals scraper or a practical deals and coupon data alternative? Choose a frontpage, popular, search, category or coupons feed, or paste a Slickdeals search URL. Set an item cap and optional minimum thumb score. Each row includes deal ID, title, deal and merchant URLs, price, list price, discount percentage, coupon code, store, merchant host, votes, category, poster, publication date, image and source slice.

Use the dataset for price-drop monitoring, retail arbitrage sourcing, coupon harvesting, daily-deal content and merchant research. Export as JSON, CSV or Excel, or pull results through the Apify API. Pay from $3.00 per 1,000 deals.

Example input

{
  "feed": "search",
  "query": "oled",
  "maxItems": 50,
  "minThumbs": 20
}

Understand the Output: Deal Price, Discount, Coupon & Store

Each deal row:

{
  "dealId": "20058345",
  "title": "Ori: The Collection: $7.20; Ori and the Will of the Wisps (PCDD) $3",
  "dealUrl": "https://slickdeals.net/f/20058345-ori-and-the-will-of-the-wisps-2-99",
  "price": "$2.99",
  "listPrice": null,
  "discountPct": null,
  "couponCode": null,
  "store": "steam",
  "merchantHost": "steampowered.com",
  "outboundUrl": "https://slickdeals.net/click?lno=3&trd=...",
  "votes": 40,
  "category": "Frontpage Deals",
  "poster": "BeautifulMeat939",
  "postedAt": "2026-09-25T07:08:42.000Z",
  "imageUrl": "https://static.slickdealscdn.com/.../21704253.thumb",
  "slice": "frontpage:newest"
}

Data fields

Field	Description
title, dealUrl, dealId	Deal headline, canonical deal-page URL and thread ID
price / listPrice	Deal price as displayed; original/regular price when stated
discountPct	Explicit N% off, else derived from price vs list
couponCode	Extracted promo code, e.g. I2ZSMOGK
store, storeId, merchantHost	Merchant slug, ID and host (e.g. amazon, amazon.com)
outboundUrl	Original merchant link (affiliate-wrapped slickdeals.net/click…)
votes	Community thumb score (Thumb Score: +N)
category	e.g. Frontpage Deals
poster	Thread author
postedAt	ISO timestamp
imageUrl	Deal image
slice	Which result page the row came from (e.g. frontpage:newest)
sourceUrl	directUrl this run was given, or null

Download the dataset as JSON, CSV, HTML, or Excel, or pull it via the Apify API.

Integrations & Automation — Schedule Hot Deals Monitoring

Run on the Apify platform with API access, scheduling, webhooks, Zapier/Make/n8n integrations, and monitoring. For deal alerts, schedule an hourly run on popular + minThumbs: 20 for a "hottest deals" digest, and pipe the dataset into Discord, Slack or email. For restock/price-drop watchlists, schedule search runs on each product keyword daily. Recurring runs keep your deal data fresh without any manual work.

Related Actors

• Slickdeals Scraper (solidcode) — closest full-store competitor (💰 $6.5/1K positioning)
• Slickdeals Hot Deals Scraper (scralab) — frontpage hot-deals with merchant links
• Slickdeals Search Scraper (powerai) — search-URL based Slickdeals scraping
• Slickdeals Scraper (lulzasaur) — trending deals by keyword/category
• Amazon Product Scraper — adjacent e-commerce price data for cross-checking deals

FAQ

Why use this actor instead of the official Slickdeals API?

The official Slickdeals partner API (corp-site.slickdeals.net/api-sales) is enterprise-only — you have to contact their sales team; there's no self-serve tier. This actor uses the public RSS feeds the site publishes (the same feeds their forum pages advertise) — free to read, no contract, at $0.003 per deal.

What are alternatives to this actor / Slickdeals data?

The solidcode, scralab, powerai and lulzasaur actors cover Slickdeals (linked above); for other deal sources, Amazon/coupon scrapers on the Store. This actor is the cheapest verified at $0.003/deal (solidcode $0.00735, scralab $0.00333, powerai $0.00499, lulzasaur $0.008).

Is scraping Slickdeals allowed?

This actor reads Slickdeals' officially published public RSS feeds at a polite rate — no login, no challenge bypass, no scraping of Cloudflare-walled pages. Respect Slickdeals' Terms of Service and use the data responsibly.

Why are some items fewer than maxItems?

Later pages overlap heavily — per-forum streams often repeat already-collected deals. The page count is fixed from maxItems up front, so a run can end short. Loosen minThumbs or raise maxItems.

Why don't &page=2 and other params work?

Slickdeals' RSS endpoint ignores page offsets — every page/start/previousdays value returns the same 25 newest deals (verified live). That's why the actor pages over distinct result sets instead; see "How It Works".

Why is directUrl returning nothing?

The actor fails loudly rather than falling back to other feeds. A Cloudflare challenge means the URL is not a search feed — use a /search or newsearch.php URL (converted to RSS for you). A single feed page caps at 25 items.

Known limitations

• views, commentCount and visual badge flags live only on Cloudflare-walled deal pages, so they're null.
• Coupon codes are extracted only when the post embeds them (most Amazon/code deals do).
• High maxItems on frontpage widens into top-rated and per-forum deals rather than older frontpage entries — filter on category downstream if you need frontpage only.
• The coupons feed occasionally requires a session cookie and returns a warning + no rows; retry later or enable the proxy.

For AI Agents & LLM Apps

Purpose: Returns Slickdeals deals as JSON rows (price, list price, discount %, coupon code, store, votes, category, poster, date) from public RSS/JSON feeds.

Minimal working input (frontpage deals):

{ "feed": "frontpage", "maxItems": 25 }

Variant inputs — keyword price-drop watch:

{ "feed": "search", "query": "oled", "maxItems": 50, "minThumbs": 20 }

Output fields (per deal): dealId, title, dealUrl, price, listPrice, discountPct, couponCode, store, storeId, merchantHost, outboundUrl, votes, category, poster, postedAt, imageUrl, slice, sourceUrl, views (null), commentCount (null), badge (null).

Behaviors an agent should know:

• A single RSS page caps at 25 items; maxItems above 25 widens across result sets (top-rated, all-deals, per-forum), so results may include deals outside the exact feed — filter on category if strict.
• directUrl overrides feed/query/forumId and caps the run at 25 items; deal/forum page URLs are rejected up front (Cloudflare-walled).
• couponCode is only present when the post embeds the code; listPrice/discountPct can be null.
• Billing: pay-per-result — $0.003 per deal, plus a tiny per-run actor start fee.

Legal & Compliance Disclaimer

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Slickdeals, LLC. It reads only Slickdeals' publicly published RSS/JSON feeds at a polite rate — no login bypass, no CAPTCHA solving, no scraping of Cloudflare-protected pages. Users are responsible for complying with Slickdeals' Terms of Service and applicable law when using the data. Deal and coupon data should be used for legitimate monitoring and content purposes.

SEO Keywords

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