Woot by Amazon Scraper

Extract complete deal listings from Woot with pricing, discount, availability, and product metadata in one run. Build clean datasets for monitoring, analytics, and deal automation with duplicate-safe records and null/empty values removed.

Features

• Rich Deal Coverage — Collect offer-level and item-level deal details in one dataset.
• Clean Output Quality — Removes empty/null fields and suppresses duplicate records.
• Flexible Filtering — Filter by category and sort mode to focus on specific deal types.
• Pagination Support — Automatically continues until your requested result count is reached.
• Ready-to-Use Dataset — Export clean JSON, CSV, Excel, or XML directly from run output.

Use Cases

Price Monitoring

Track changes in sale price, discount, and savings across active Woot offers for alerting and competitive analysis.

Deal Aggregation

Feed deal sites, newsletters, and messaging automations with structured offer records and image URLs.

Merchandising Research

Analyze product mix, active categories, featured status, and sellout patterns to identify high-demand segments.

Historical Trend Analysis

Store frequent snapshots and measure discount depth, deal duration, and category movement over time.

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Input Parameters

Parameter	Type	Required	Default	Description
start_url	String	No	https://www.woot.com/alldeals	Entry URL used to infer category/sort when possible
category	String	No	all	Category filter (all, pc, tech, grocery, home, sport, tools, sellout)
sort	String	No	default	Sort mode (default, bs, d, nf, plh, phl, Today, lc)
results_wanted	Integer	No	20	Maximum number of deals to collect
proxyConfiguration	Object	No	{ "useApifyProxy": false }	Optional proxy settings for reliability

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Output Data

Each dataset item contains non-empty fields only:

Field	Type	Description
offer_id	String	Unique offer identifier
item_id	String	Selected item/variant identifier
title	String	Offer title
slug	String	Offer slug
url	String	Direct URL to the offer
category	String	Applied category filter
sort	String	Applied sort mode
sold_out	Boolean	Offer sold-out status
item_sold_out	Boolean	Item sold-out status
is_featured	Boolean	Featured flag
is_app_featured	Boolean	App-featured flag
start_date	String	Offer start date/time (ISO)
end_date	String	Offer end date/time (ISO)
price	String	Current sale price
original_price	String	Reference/list price
discount_percentage	Number	Discount percentage when available
savings_amount	Number	Absolute savings amount
savings_percentage	Number	Relative savings percentage
discount	String	Human-readable discount summary
image_url	String	Primary product image URL
image_width	Number	Image width
image_height	Number	Image height
attributes	Object	Variant attributes as key-value pairs
scraped_at	String	ISO timestamp of extraction

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Usage Examples

Basic Extraction

{
    "start_url": "https://www.woot.com/alldeals",
    "results_wanted": 20
}

Category and Sort Filtering

{
    "start_url": "https://www.woot.com/alldeals",
    "category": "tech",
    "sort": "d",
    "results_wanted": 50
}

Last-Chance Monitoring

{
    "category": "all",
    "sort": "lc",
    "results_wanted": 100,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
}

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Sample Output

{
    "offer_id": "013fc0c3-52b0-4bf7-859d-42925282c979",
    "item_id": "85c4f15d-a34c-4dcf-adf2-0f3518f2e7e0",
    "title": "Razer Huntsman V2 Analog Gaming Keyboard",
    "slug": "razer-huntsman-v2-analog-gaming-keyboard-1",
    "url": "https://www.woot.com/offers/razer-huntsman-v2-analog-gaming-keyboard-1",
    "category": "pc",
    "sort": "bs",
    "sold_out": false,
    "start_date": "2026-03-10T05:00:00Z",
    "end_date": "2026-03-17T05:00:00Z",
    "price": "$69.99",
    "original_price": "$249.99",
    "discount_percentage": 72,
    "savings_amount": 180,
    "savings_percentage": 72,
    "discount": "Save: $180.00 (72%)",
    "image_url": "https://d3gqasl9vmjfd8.cloudfront.net/example.png",
    "image_width": 1200,
    "image_height": 1200,
    "attributes": {
        "Color": "Black",
        "Switch Type": "Analog"
    },
    "scraped_at": "2026-03-13T15:00:00.000Z"
}

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Tips for Best Results

Start Small, Then Scale

• Begin with results_wanted: 20 to validate your filter setup quickly.
• Increase volume after confirming output structure and run speed.

Improve Reliability

• Use residential proxies for repeated or high-volume monitoring runs.
• Schedule frequent smaller runs instead of a single very large run.

Focus Your Dataset

• Use category and sort together for targeted research datasets.
• Use Today or lc sort for urgency-based deal tracking.

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Integrations

Connect your Woot dataset with:

• Google Sheets — Live pricing dashboards for teams.
• Airtable — Build searchable catalogs for deal operations.
• Slack — Trigger alerts for new or expiring deals.
• Webhooks — Send clean records to your own systems.
• Make — Automate downstream enrichment and notifications.
• Zapier — Connect deal updates to business tools.

Export Formats

• JSON — API and engineering workflows
• CSV — Spreadsheet and BI workflows
• Excel — Business reporting
• XML — Legacy system integrations

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Frequently Asked Questions

Why are some fields missing in certain records?

Fields are included only when data exists. Empty/null values are intentionally removed to keep output clean.

Does the actor return duplicate deals?

No. The actor applies in-run deduplication to avoid duplicate records in the same run output.

Can I collect all categories at once?

Yes. Use category: "all" or provide a general start_url.

How many results can I request?

You can request any positive count. Actual output depends on currently available deals.

Can I automate this daily?

Yes. Use Apify schedules and deliver output to your preferred integration.

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Support

For issues or feature requests, use support options in the Apify Console.

Resources

• Apify Documentation
• Apify API Reference
• Scheduling Runs

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Legal Notice

This actor is intended for legitimate data collection. You are responsible for complying with website terms and applicable laws in your jurisdiction.