Deals & Coupons Scraper for Slickdeals — Price & Community Votes

Extract community deals from Slickdeals at scale: title, price, community thumb score (votes/heat), store, category, poster and image. Search by product/keyword or pull the front-page & popular feeds, and get clean JSON/CSV/Excel in seconds. Built for deal aggregation, price tracking, comparison and shopping tools.

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What This Actor Does

Slickdeals is the largest US community deals site — members post and up-vote the hottest deals. This Actor turns a search or feed into a structured deals dataset. For each deal it returns:

• Deal — title, price, image, deal URL
• Heat — community thumb score (net up-votes) — the popularity signal
• Store — merchant domain and the product/store URL
• Meta — category, the user who posted it, and the posted date

Search one or many keywords, and/or pull the front-page and popular feeds — deduped by deal ID.

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Why Use This

• Community-validated deals. The thumb score tells you which deals people actually think are hot — a ranking signal you can't compute yourself.
• Price + store together. Every deal carries a price and the merchant domain — ready for price tracking, comparison and alerts.
• Search or browse. Target specific products (e.g. "laptop", "AirPods") or grab the general front-page / popular deals.
• Fast and clean. Reads Slickdeals' public feeds — no anti-bot, no browser, no proxy needed.

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Quick Start

Run it in the console (no code)

1. Add Search terms (e.g. laptop, headphones) and/or pick Feeds (frontpage, popular).
2. Set Max deals, click Start.
3. Export as JSON, CSV, Excel or HTML, or push to Google Sheets, a webhook or a database.

Run it via API (Python)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
    "searchTerms": ["laptop", "headphones"],
    "feeds": ["frontpage", "popular"],
    "maxItems": 200,
}

run = client.actor("YOUR_USERNAME/slickdeals-scraper").call(run_input=run_input)

for d in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(d["thumbScore"], "·", d["title"], "·", d["price"], "·", d["store"])

Get the hottest deals (Python)

run = client.actor("YOUR_USERNAME/slickdeals-scraper").call(run_input={"feeds": ["popular"], "maxItems": 100})
deals = list(client.dataset(run["defaultDatasetId"]).iterate_items())
hot = sorted([d for d in deals if d.get("thumbScore")], key=lambda d: -d["thumbScore"])[:10]
for d in hot:
    print(d["thumbScore"], d["title"], d["dealUrl"])

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Input Parameters

Field	Type	Description
searchTerms	array	Products/keywords to search (each returns matching deals).
feeds	array	frontpage and/or popular general feeds.
maxItems	integer	Max deals across all terms/feeds. 0 = no limit (25 per feed).
proxyConfiguration	object	Apify Proxy. Datacenter is enough and enabled by default.

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Output

Each deal is one record:

{
  "dealId": "20072046",
  "title": "Batman 4-Film Collection (Blu-ray) $11",
  "price": 11,
  "priceText": "$11",
  "thumbScore": 21,
  "store": "amazon.com",
  "storeUrl": "https://www.amazon.com/Film-Favorites-...",
  "category": "Movies",
  "poster": "neomatrixviper",
  "dealUrl": "https://slickdeals.net/f/20072046-4-film-favorites-batman-blu-ray",
  "imageUrl": "https://static.slickdealscdn.com/...thumb",
  "publishedDate": "Mon, 29 Sep 2026 ...",
  "source": "feed:frontpage"
}

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Use Cases

1. Deal aggregation & alerts

Build a deals feed or price-alert tool ranked by community heat (thumb score) for products or categories you care about.

2. Price tracking & comparison

Track prices and stores for products over time; combine with other sources to compare across retailers.

3. Affiliate & content sites

Power a savings/coupon site or newsletter with fresh, community-validated deals and merchant links.

4. Retail & competitive intelligence

See which products and stores are trending, at what prices, and how strongly the community reacts.

5. Market research

Analyze deal volume, discount levels and merchant activity by category over time.

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Tips

• Search vs feeds: use searchTerms for specific products; add frontpage/popular for general trending deals.
• thumbScore is the community heat — sort by it to surface the best deals.
• store is the merchant domain (amazon.com, walmart.com…), handy for filtering by retailer.
• Schedule it with Apify Schedules to capture new hot deals throughout the day.

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Frequently Asked Questions

Do I need an account? No. The Actor reads publicly available deal feeds — no login required.

What is the thumb score? It's the net community vote (up-votes minus down-votes) — Slickdeals' popularity/heat signal for a deal.

How many deals per feed? Each feed returns the latest ~25 deals; use multiple search terms and both feeds for broader coverage, and schedule to capture more over time.

What export formats are supported? JSON, CSV, Excel, HTML, or via API — plus Google Sheets, webhooks, Make and Zapier.

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Legal & Responsible Use

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Slickdeals or any retailer. All trademarks are the property of their respective owners.

It collects only publicly available deal information for research and personal use. You are responsible for how you use the data. Please:

• Respect Slickdeals' Terms of Service and applicable laws.
• Do not use the data for spam or any unlawful purpose.
• Use reasonable request volumes and scheduling.