Slickdeals Scraper

Pull deals from Slickdeals — the largest US deals and coupons community — at scale, complete with prices, list-vs-deal discount percentages, extracted coupon codes, community vote scores, comment counts, store names, and the member who posted each deal. Search by keyword, browse any of 14 shoppable categories, or paste Slickdeals URLs directly. Built for deal resellers, retail-arbitrage sellers, and price-tracking and market-research teams who need structured Slickdeals deal data at scale without endlessly refreshing the frontpage by hand.

Why This Scraper?

• Community vote scores on every deal — the Slickdeals thumbs-up count that separates a genuinely hot deal from a dud, plus a minVotes threshold so you can pull only deals the community has already validated.
• Extracted coupon and promo codes — when a deal carries a code like SUNSHINE20, it lands in a dedicated couponCode field instead of being buried in the title. Most competing scrapers drop coupons entirely.
• Real discount math — deal price, reference (list) price, and the discountPercent off, so you can filter for genuine drops rather than fake "was/now" markups.
• 14 shoppable categories — Computers, Electronics, Home, Clothing, Health & Beauty, Grocery, Video Games, Toys & Kids, Automotive, Sports & Fitness, Travel, Finance, and Movies/Music/Books, each mapped to Slickdeals' own department filters.
• Three ways to target deals — type keywords, pick a category, or paste any Slickdeals category, search, or single-deal URL; filters already baked into a pasted URL are honored automatically.
• Store name plus outbound link — see at a glance whether a deal is at Amazon, Walmart, or Best Buy, and jump to the retailer page when the link is available.
• Poster, posted date, and expiry flag — the member who submitted each deal, an ISO 8601 posted timestamp, and an isExpired flag so you can filter to active deals only or opt expired ones in.
• Scale to 100,000 deals per run — far past the ~400-deal ceiling typical of other Slickdeals tools, with automatic de-duplication across overlapping keywords and URLs.
• Sort the way shoppers do — Hottest, Newest First, or Most Commented to surface the deals the community is actively arguing over.

Use Cases

Reselling & Retail Arbitrage

• Spot below-market and clearance deals to flip on Amazon, eBay, or Mercari
• Filter by minVotes to act only on deals the community has already vetted
• Track freebies and steep discounts the moment they hit the frontpage
• Grab the coupon code and store link needed to complete a buy

Price & Market Research

• Benchmark deal prices against reference prices across categories
• Measure how deep discounts run in Electronics vs. Home vs. Grocery
• Build historical deal datasets by running scheduled category pulls
• Identify which retailers post the most aggressive discounts

Coupon & Affiliate Content

• Populate coupon and deal roundup pages with fresh, validated codes
• Auto-surface the highest-voted deals for "best of today" articles
• Feed newsletters with category-specific deal digests
• Enrich affiliate feeds with vote counts and comment activity

Competitive & Brand Monitoring

• Watch when your products (or a competitor's) go on deal and at which store
• Track community sentiment via vote and comment counts on brand deals
• Alert on new deals in a category using scheduled runs
• Monitor which stores dominate a category's deal share

Getting Started

Search by Keyword

The simplest way to start — one or more keywords:

{
    "searchQueries": ["laptop"],
    "maxResults": 50
}

Browse a Category, Most-Voted First

{
    "category": "gaming",
    "sortBy": "hot",
    "minVotes": 100,
    "maxResults": 200
}

Paste Slickdeals URLs

Drop in any category, search, or single-deal URL — embedded filters are honored:

{
    "startUrls": [
        "https://slickdeals.net/deals/computer-deals/",
        "https://slickdeals.net/search?q=headphones&sort=recent"
    ],
    "maxResults": 100
}

Full-Featured Example

{
    "searchQueries": ["nintendo switch", "monitor"],
    "category": "electronics",
    "sortBy": "commented",
    "includeExpired": false,
    "minVotes": 50,
    "maxResults": 500
}

Input Reference

What to Scrape

Parameter	Type	Default	Description
searchQueries	string[]	["laptop"]	Keywords to search Slickdeals for. Each keyword runs its own search. Leave empty to browse a category or paste URLs instead.
startUrls	string[]	[]	Slickdeals URLs to collect — works with category, search-result, and single-deal pages. Any filters in the URL are applied automatically.

Search Filters

These apply to keyword and category searches only. Pasted URLs keep their own filters.

Parameter	Type	Default	Description
category	select	All deals	Limit keyword searches to one Slickdeals category: All deals, Computers, Electronics, Home, Clothing & Apparel, Health & Beauty, Grocery, Video Games, Toys & Kids, Automotive, Sports & Fitness, Travel, Finance, or Movies, Music & Books.
sortBy	select	Hottest	Order deals are collected: Hottest, Newest First, or Most Commented.
includeExpired	boolean	false	Include deals already marked expired. Leave off to collect only active, still-available deals.
minVotes	integer	0	Only return deals at or above this community vote score. Higher means more popular. Leave at 0 for no threshold.

Options

Parameter	Type	Default	Description
maxResults	integer	100	Maximum number of deals to collect across all keywords and URLs combined, up to 100,000 per run. Set to 0 for unlimited. Start with 20-50 to test, then increase.

Output

Each deal is one flat row. Here's a representative result:

{
    "dealId": "17654321",
    "title": "Apple MacBook Air 13.6\" Laptop (M3, 16GB, 256GB) After Coupon Code SUNSHINE20",
    "url": "https://slickdeals.net/f/17654321-apple-macbook-air-m3",
    "price": 849.0,
    "priceText": "$849",
    "listPrice": 1099.0,
    "discountPercent": 23,
    "store": "Best Buy",
    "storeUrl": "https://www.bestbuy.com/site/...",
    "couponCode": "SUNSHINE20",
    "votes": 342,
    "views": 51230,
    "commentCount": 118,
    "badge": "frontpage",
    "category": "Computers",
    "poster": "dealhunter42",
    "imageUrl": "https://static.slickdealscdn.com/attachment/...",
    "isExpired": false,
    "postedAt": "2026-06-28T14:12:00Z",
    "scrapedAt": "2026-07-02T09:30:00Z"
}

Deal Fields

Field	Type	Description
dealId	string	Slickdeals internal deal identifier — a stable de-duplication key
title	string	Full deal title with product details
url	string	Canonical Slickdeals deal permalink
price	number	Deal price as a number (0 for "Free", null when unpriced)
priceText	string	Price exactly as displayed (e.g. "$849", "Free", "$10 off")
listPrice	number	Reference / original price when shown
discountPercent	number	Percent off versus the reference price
store	string	Retailer name (Amazon, Walmart, Best Buy, ...)
storeUrl	string	Outbound link to the retailer deal when available
couponCode	string	Promo / voucher code when the deal carries one
votes	number	Community vote score (thumbs up)
views	number	View count when available
commentCount	number	Number of comments on the deal thread
badge	string	Deal badge (frontpage, popular, new)
category	string	Category the deal was collected under
poster	string	Username of the member who posted the deal
imageUrl	string	Product thumbnail URL
isExpired	boolean	Whether the deal is marked expired
postedAt	string	ISO 8601 timestamp when the deal was posted
scrapedAt	string	ISO 8601 timestamp of extraction

Tips for Best Results

• Start small, then scale — set maxResults to 20-50 on your first run to confirm the fields match what you need, then raise the cap.
• Paste a filtered URL to reuse Slickdeals' own filters — a category or search URL you built on the site (with sort, keyword, or department filters in it) is honored exactly as-is, which is the fastest way to reproduce a niche view without re-entering each option.
• Use minVotes for reseller-grade signal — a vote threshold of 50-100 filters out untested deals so you only act on ones the community has already upvoted.
• Pick "Most Commented" to surface community-hot deals — heavy comment activity flags the deals shoppers are debating, often the best (or most contested) bargains of the day.
• Leave everything empty for the live frontpage — no keywords, no category, and no URLs collects the latest hot deals across the whole site.
• Filter coupons downstream — keep only rows where couponCode is present to build a clean, ready-to-use promo-code list.
• Combine sources in one run — mix several keywords, a category, and pasted URLs together; overlapping deals are de-duplicated automatically by dealId.

Pricing

From $6.50 per 1,000 results — a richer field set (coupon codes, discount math, poster, and expiry) at a lower rate than comparable Slickdeals tools. Bronze, Silver, and Gold subscribers pay progressively less; the table below shows total cost at each discount tier.

Results	No discount	Bronze	Silver	Gold
100	$0.78	$0.74	$0.69	$0.65
1,000	$7.80	$7.35	$6.90	$6.50
10,000	$78.00	$73.50	$69.00	$65.00
100,000	$780.00	$735.00	$690.00	$650.00

A "result" is any deal row in the output dataset. There are no compute or time-based charges — you pay per result, plus a small fixed per-run start fee.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new deals
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This actor is designed for legitimate deal research, price comparison, market analysis, and content curation. You are responsible for complying with applicable laws and Slickdeals' Terms of Service. Do not use collected data for spam, harassment, or any unlawful purpose, and respect the community members whose posts appear in the data.