Target Deal & Clearance Tracker

Find what's marked down at Target — with the discount already calculated.

Search any keyword, and get back the products that are actually on sale: current price, original price, how much you save, and a direct link to buy. Filter to clearance only, set a minimum discount, or rank by the biggest price drops.

An independent tool. Not affiliated with, endorsed by, or sponsored by Target Brands, Inc.

Works across all of Target — apparel, home, electronics, tools, groceries, toys and beauty. Search by product type (headphones, bedding, lego) rather than department name; there's a lookup table below.

What you get back

A real run — womens tops, clearance filter, ranked by biggest markdown:

Discount	Now	Was	You save	Product
50%	$7.50	$15.00	$7.50	Women's Short Sleeve Ribbed T-Shirt
50%	$2.50	$5.00	$2.50	Women's Fitted Pullover Tank Top
50%	$9.00	$18.00	$9.00	Champion Iconic Essentials Raglan
50%	$15.00	$30.00	$15.00	Solid & Striped Smocked Linen Blouse

Each row also carries the brand, rating, review count, stock status, category, image URLs and a direct product link — up to 36 fields. Rows carry 33–36 depending on what Target publishes for that product; the deal columns are always present.

What you can use it for

• Deal and coupon sites — a daily feed of genuine markdowns, already sorted by discount
• Price monitoring — track how a product's price moves between runs
• Resale sourcing — find clearance inventory worth flipping
• Competitor and assortment research — see what's discounted, by brand and category
• Market research — pull a full category with prices, ratings and availability

Three ways to run it

Find clearance deals

{
    "keyword": "womens tops",
    "deal_type": "clearance",
    "results_wanted": 50
}

Only deep discounts, best first

{
    "keyword": "headphones",
    "min_discount_percent": 40,
    "rank_by_discount": true,
    "results_wanted": 25,
    "max_pages": 10
}

Plain product search — no deal filter

{
    "keyword": "4k tv",
    "results_wanted": 100
}

You can also paste a Target search URL into startUrl instead of a keyword, and the Actor reads the search term and sort order from it:

https://www.target.com/s?searchTerm=womens+tops&sortBy=newest

Category pages (/c/...) and product pages (/p/...) are not supported — this Actor collects search results. Use the category name as a keyword instead: "keyword": "shoes" covers Target's shoes category.

Tracking changes between runs

Running the same search twice returns the same products — Target's ranking is stable, and prices don't move in five minutes. Switch on track_changes and repeat runs become useful instead:

{
    "keyword": "womens tops",
    "deal_type": "clearance",
    "track_changes": true,
    "results_wanted": 50
}

• First run saves a baseline and returns everything.
• Later runs return only what moved — and nothing at all if nothing did.

That second point catches people out: run the same tracked search twice in a row and the second run correctly returns zero products, because prices don't move in five minutes. Leave track_changes off unless you're running on a schedule.

Each record then carries a change_type plus what it was before:

change_type	Meaning
price_drop	Cheaper than last run — includes previous_price, price_change_amount, price_change_percent
new	Not present in the previous run
back_in_stock	Shipping went from unavailable to available
price_increase	More expensive than last run
out_of_stock	Shipping went from available to unavailable

Price drops are listed first, deepest first — so the top of the dataset is what a deal feed would publish.

Pair it with a schedule. A daily tracked run gives you a clean feed of the day's markdowns instead of the same catalogue every morning. Set include_unchanged if you also want the products that stayed put.

Each tracked search keeps its own history, keyed by keyword, deal type, sort, store and filters — so tracking clearance bedding never compares against headphones.

One deliberate omission: products that were in the previous run but not this one are not reported as gone. Target's ranking shifts between runs, so a product dropping out of the top results usually means it moved down the list, not that it disappeared. Reporting those would fill the feed with false alarms.

Searching a whole category

Target's search works on product types, not department names. Typing electronics, toys or grocery returns nothing — on target.com those words open a category page instead of running a search, so there are no search results to collect. The Actor tells you this and suggests working alternatives if you try one.

To cover a category, run one keyword per product type:

You want	Use these keywords
Electronics	tv, laptop, headphones, bluetooth speaker
Toys	kids toys, lego, board games, dolls
Home	home decor, bedding, kitchen, storage
Clothing	womens clothing, mens clothing, kids clothing
Furniture	sofa, desk, dining table, bookshelf
Beauty	makeup, skincare, shampoo
Grocery	coffee, snacks, cereal
Baby	diapers, baby clothes, stroller
Pets	dog food, cat food, dog toys
Sports	fitness equipment, bike, yoga mat

Two-word terms usually work where the single word doesn't — kids toys returns 37,000 matches while toys returns none.

The same applies to a few big brands. apple, disney and pokemon open Target brand pages rather than searching, so they return nothing on their own. Add a product word and they work: apple watch, disney toys, pokemon cards. Most brands are fine as-is — nike, samsung, lego, sony and barbie all search normally.

Example — electronics clearance: run the Actor once per keyword (tv, laptop, headphones) with deal_type: "clearance", and combine the datasets. Scheduling the same keyword daily is how you track prices over time.

Filtering out accessories

Target's relevance ranking mixes accessories in with products. A search for iphone returns 16 phone cases and 8 phones; iphone 16 returns 23 cases and 1 phone. Two settings fix that:

{
    "keyword": "apple iphone",
    "item_type": "cell phones"
}

• item_type — keep only these product types, comma separated
• exclude_item_type — drop these, e.g. case, charger, screen protector

Matching is a case-insensitive substring, so phone matches Cell Phones. Every record carries its item_type, so run once without a filter to see what's available. If a filter removes everything, the log lists the types that were actually returned.

One caveat on configurable products. Phones, TVs and anything sold in multiple storage sizes or colours show Price Varies instead of a figure, and Target publishes no comparison price for them — so they can never appear as discounted. Those rows are flagged with price_is_range: true and still carry a usable numeric current_retail. If you're hunting markdowns, they're not it; if you're tracking prices, they still work.

How the deal filters work

Two filters work together, and you can use either or both.

deal_type applies Target's own filter — Clearance, Sale, Weekly Ad, BOGO, Target Circle Deals and more. This narrows the search at the source: clearance on womens tops returns about 180 products instead of 77,000.

min_discount_percent keeps only products marked down by at least that much, worked out from the current and regular price.

The second one matters because Target doesn't offer every deal filter for every keyword. Womens tops has a Clearance filter; 4k tv doesn't; organic coffee offers "New Lower Price" and "Circle Deals" instead. The Actor checks which filters Target actually offers for your keyword, uses the one you asked for when it exists, and otherwise falls back to the discount threshold — and tells you so in the log. A deal run never quietly returns unfiltered results.

Turn on rank_by_discount to scan every allowed page first and save only the deepest markdowns, rather than the first ones found.

Input

Setting	Type	Default	What it does
keyword	string	—	What to search for. Provide this or startUrl.
item_type	string	—	Keep only these product types, comma separated (cell phones)
exclude_item_type	string	—	Drop these product types (case, charger)
startUrl	string	—	A Target search URL. Search term and sort are read from it.
deal_type	select	any	clearance, sale, weekly_ad, bogo, circle_deals, new_lower_price, buy_and_save, value_bundles, gift_card, all_deals
min_discount_percent	integer	0	Keep only products at least this far below regular price
rank_by_discount	boolean	false	Scan everything, then save the biggest markdowns first
track_changes	boolean	false	Only save what changed since the last run for this search
include_unchanged	boolean	false	When tracking, also keep products that did not move
sort_by	select	relevance	newest, bestselling, PriceLow, PriceHigh, RatingHigh, Featured
results_wanted	integer	20	How many products to save
max_pages	integer	10	Page limit, as a guardrail on run size
include_sponsored	boolean	true	Include sponsored placements
storeId / zipCode	string	1771 / 10001	Location for pricing and delivery availability
proxyConfiguration	object	off	Optional Apify Proxy

Output

One row per product.

The deal columns — on_sale, discount_percent, discount_amount, formatted_comparison_price — appear on every row, showing 0 and a blank when a product isn't discounted. That keeps the table and any CSV export aligned. Other fields Target doesn't publish for a product are left out rather than returned empty.

Deal — on_sale, discount_percent, discount_amount, formatted_current_price, formatted_comparison_price, current_retail, reg_retail, price_is_range

Product — title, brand, tcin, parent_tcin, item_type, department_id, category_id, parent_category_id, vendor_name, is_marketplace, is_sponsored

Ratings — rating_average, rating_count, review_overall_sentiment

Availability — shipping_availability, scheduled_delivery_availability, sold_out

Links and media — buy_url, primary_image_url, alternate_image_urls, promotions

Run context — search_keyword, sort_by, position, page, current_page, total_pages, total_results, result_offset, scraped_at

Images come from Target's image server, so you can resize them by adding parameters to the URL — ?wid=400&hei=400&fmt=jpeg gives you a thumbnail without downloading the full image.

Does location matter?

Prices don't vary by location. Verified across four stores in three states — identical prices everywhere. These are Target.com's online prices, so for price monitoring and deal tracking the default storeId and zipCode are fine.

Three things do vary:

	Varies by location?
Prices and discounts	No — identical nationwide
Shipping availability	No — shipping is national
Scheduled (same-day) delivery	Yes, a lot — 7 of 24 products available in New York, 0 of 24 in Los Angeles
Clearance product mix	Mildly — totals match, but about a quarter of the products differ

So set storeId and zipCode to a real nearby store if you care about same-day delivery availability, or want clearance matched to a region. Otherwise leave them.

One limitation worth stating plainly: this collects Target.com's online clearance, not the in-store clearance that resellers hunt with a price scanner. Store-level markdown inventory lives in a different Target system that this endpoint does not expose.

Export and integrations

Download as JSON, CSV, Excel or XML, or connect the dataset to the Apify API, a webhook, Google Sheets, Airtable, Make or Zapier. Schedule it to run hourly, daily or weekly to track prices over time.

Good to know

Target caps a single search at 1,200 products. It reports far more matches than that — a search saying "8,126 results" still only serves 1,200 — and refuses to go deeper. The Actor stops cleanly at that ceiling, so asking for more returns everything available rather than failing. To collect more, split the work across narrower keywords.

Where the deals actually are. Home goods and clothing get discounted hardest — often 17 to 19 of 24 products on a page, up to 55% off. Groceries, beauty and pet food rarely move. Worth knowing when picking keywords.

If Target blocks a run, it fails rather than returning partial data. Target signals throttling with a success status and no results, which is easy to mistake for "no more products". The Actor retries five times, then fails with a message saying how many products it had collected. A truncated price snapshot that looks complete is worse than a run that visibly failed.

Getting zero results? The most common cause is a min_discount_percent set higher than anything currently on sale. The run log tells you the deepest markdown it actually found, so you can adjust. Clothing and home goods carry the deepest discounts; groceries and beauty rarely exceed 15%.

Sponsored duplicates are removed. A sponsored placement is often the same product that also ranks organically, so a page can yield slightly fewer records than Target displays.

Target's own paging repeats a few products. Roughly 2% of listings reappear on a later page. The Actor removes them by product ID, so the dataset never contains duplicates — but it means a full 50-page sweep returns about 1,170 unique products rather than exactly 1,200. The run log reports how many duplicates were skipped.

FAQ

Does it work for categories other than clothing? Yes — verified across electronics, home, tools, grocery, toys, beauty, baby and pets. Any Target search keyword works.

Why did my clearance search fall back to the discount filter? Target only offers a given deal filter for keywords where it has matching products. When the one you asked for isn't available, the log says so and the run uses min_discount_percent instead, which works everywhere. Broader keywords expose more deal filters than narrow ones.

Do I need a proxy? Usually not. Enable Apify Proxy if runs start returning empty.

Why is a field missing from a product? Target doesn't publish every attribute for every listing, and marketplace items in particular expose fewer fields. Missing means "not published" rather than "empty".

Is this an official Target tool? No. This is an independent Actor with no affiliation to, endorsement by, or sponsorship from Target Brands, Inc. "Target" is their trademark and is used here only to describe which website the Actor reads. It collects publicly visible listing data — no accounts, no logins, no personal data.

Is it legal to collect Target data? You are responsible for complying with Target's terms of use, applicable laws and privacy requirements. Use this for legitimate research, price monitoring and business workflows.

Related

Target Reviews Scraper — customer reviews and ratings from product pages Shopify Product Scraper — product and variant data from Shopify stores Trendyol Product Scraper — products, prices and ratings from Trendyol