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Amazon Today's Deals Scraper: Deal Countdown & New Arrivals

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Amazon Today's Deals Scraper extracts Amazon deal listings with countdown timers, discounts, prices, product details, ratings, availability, and new arrivals. Ideal for deal tracking, price monitoring, product research, competitor analysis, and e-commerce insights.

Pricing

from $5.99 / 1,000 results

Rating

0.0

(0)

Developer

Scrapier

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

Categories

Automation

E-commerce

Lead generation

🧮 How many deals to collect

maxDeals

Optional

Number of deals to collect from Amazon's Today's Deals feed. ⚠️ Amazon's promotions surface exposes a hard 500-deal window (its own totalCount is always 500), so anything above 500 is capped at 500 and the cap is logged. Example: 100 → up to 100 deals. Default is 100.

Type:integer

Minimum:1

Maximum:500

Default:100

⏰ Only deals ending within X hours

endsWithinHours

Optional

Keep only deals whose end time is this many hours away or less — your 'act now' shortlist. Set 0 to turn the filter off. ⚠️ Reality check from live data: Amazon deal windows are long (4 to 30 days, median ~12 days remaining), so 24 typically keeps only a handful of rows out of hundreds. Example: 24 → ends in the next day. Default is 0 (off).

Type:integer

Minimum:0

Maximum:8760

Default:0

🆕 Only deals that started within X hours

startedWithinHours

Optional

Keep only deals that went live in the last X hours — the 'just landed' shortlist, based on Amazon's own deal start time (no previous run needed). Set 0 to turn the filter off. Example: 24 → deals that started today. Default is 0 (off).

Type:integer

Minimum:0

Maximum:8760

Default:0

🧹 Drop carousel filler rows that are not deals

excludeNonDealRows

Optional

Amazon's deals feed mixes in promotional slots that carry no deal at all — no deal type, no price, no start/end window (about 1 row in 9 in live samples). Leave this on to keep them out of your dataset. Turn it off to see the raw feed exactly as Amazon returns it. Default is true.

Type:boolean

Default:true

🔁 Compare this run with the previous run

trackChangesBetweenRuns

Optional

Saves a snapshot of every deal it collects to a named key-value store and compares the next run against it, filling in isNewSinceLastRun, endedSinceLastRun and priceChangeSinceLastRun. The very first run has no baseline, so those columns come back null with isFirstRun = true — never a fabricated 'new'. Default is true.

Type:boolean

Default:true

🗄️ Tracking store name

trackingStoreName

Optional

Name of the Apify key-value store that holds the previous run's snapshot. Use different names to track several independent deal watchlists side by side. Example: electronics-deal-watch. Default is amazon-deal-tracker.

Type:string

Default:amazon-deal-tracker

🔚 Also output deals that vanished since last run

includeDisappearedDeals

Optional

Adds one extra row per deal that was in your previous run but is missing from this one, marked rowType = disappeared. Each carries a disappearedReason: EXPIRED (its end time has passed) or ROTATED_OUT_STILL_LIVE (it dropped out of Amazon's ranked window but has not expired). Default is true.

Type:boolean

Default:true

✨ Output only the newly appeared deals

onlyNewDeals

Optional

Keeps only rows where isNewSinceLastRun is true, so a scheduled run emits nothing but the fresh arrivals. Has no effect on the first run (there is no baseline to compare against yet). Default is false.

Type:boolean

Default:false

🌐 Proxy configuration

proxyConfiguration

Optional

Optional. Route the Amazon requests through an Apify proxy. The scraper works without a proxy; enable this only if you see block responses in the log.

Type:object

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