498 Agent As-Is Listings in Alameda, CA
Browse agent-listed as-is properties in Alameda, CA. These are MLS listings where the seller is marketing the property in as-is condition, filtered by HiddenDealPro's algorithm for days on market and price position.
Not sure how we identify these? Read our methodology.
Market Stats
Updated May 11, 2026
Total listings
498
Price range
$891 – $7.3M
By price range
Top zip codes
6894 Heath Ct
Pleasanton, CA 94588
$1,298,000
3 bd / 2 ba / 1,489 sqft
398 Adams St Apt 204
Oakland, CA 94610
$304,900
1 bd / 1 ba / 750 sqft
(Undisclosed Address)
Emeryville, CA 94608
$375,000
1 bd / 1 ba / 621 sqft
4031 Penniman Ave
Oakland, CA 94619
$499,000
4 bd / 2 ba / 1,450 sqft
3234 E 27Th St
Oakland, CA 94601
$885,000
8 bd / 4 ba / 3,200 sqft
38075 Stenhammer Dr
Fremont, CA 94536
$1,999,900
3 bd / 3 ba / 2,042 sqft
4138 Clarinbridge Cir
Dublin, CA 94568
$775,000
2 bd / 2 ba / 1,420 sqft
674 Gleneagle Ave
Hayward, CA 94544
$998,000
4 bd / 3 ba / 1,820 sqft
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Frequently asked questions
What does 'as-is' mean for these listings?
The seller is marketing the property in its current condition and is not offering repairs or credits. These are MLS-listed properties where the listing explicitly indicates as-is condition.
Are as-is properties good deals for investors?
As-is properties can offer investor opportunities, but require thorough due diligence. Always get an inspection, estimate repair costs, and run the numbers with our Deal Calculator before making an offer.
How often is this list updated?
Daily. The timestamp at the top of the page reflects the most recent data refresh.
How do I see the full list?
The full list is available to REI Labs Elite members at $97/mo.
What is days on market (DOM) and why does it matter?
Days on market is how long a property has been listed. Higher DOM on an as-is property may signal more seller motivation or pricing that needs adjustment. We stratify results by DOM to help you find the most active opportunities.
Data sourced from public MLS records and filtered by HiddenDealPro's algorithm. How we find these.