[Deprecated] Auction.com Property Scraper

Auction.com Property Scraper

Scrape Auction.com property listings from any search results page, up to a million per run. Each property comes with its auction date, starting bid, property details, and location. No login or API key. Export to CSV, JSON, Excel, or XML.

Low minimum charge: $0.005 to start a run, then you only pay for the results you get.

Auction.com lists thousands of foreclosures, bank-owned homes, and private-seller properties, but manually copying listing data is slow and error-prone. This Actor reads the public search results directly from any Auction.com URL you provide, collecting every visible listing in one structured dataset. You control exactly which properties to scrape by applying filters on the Auction.com website first, then pasting the filtered URL into the Actor.

Who uses it	What they scrape Auction.com for
Real estate investors	Build a pipeline of distressed properties matching their buy box.
Market analysts	Track foreclosure inventory and starting bid trends by metro area.
Property managers	Identify bank-owned homes coming to auction in their service regions.
Data journalists	Compile auction listing data for housing market stories.

What it does

This Actor collects Auction.com property listings from a search results URL and returns each one as a flat row.

• 🏠 Property details: bedrooms, bathrooms, square footage, year built, and property type.
• 💰 Auction data: auction date, starting bid, event type (online, in-person), and status.
• 📍 Location info: full address, city, state, ZIP, and latitude/longitude when available.
• 🔗 Listing links: direct URL to each property's detail page for deeper research.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with Auction.com data

📋 Build a foreclosure watchlist.

An investor pastes a filtered Auction.com URL for Chicago bank-owned single-family homes and exports the results to CSV for deal analysis.

📊 Monitor market inventory.

A market analyst runs the Actor weekly on a saved URL to track how many foreclosures are listed in Phoenix and how starting bids change.

🗺️ Map auction properties.

A data journalist collects listings with location data and plots them on a map to show foreclosure hotspots in a metro area.

🔔 Feed a lead database.

A real estate team scrapes new listings daily and pushes the structured data into their CRM for outreach.

Why choose this scraper

	What you get
No API needed	Reads public listing pages directly, no registration or token required.
Your filters, your data	Use Auction.com's own search filters to target exactly the properties you want.
Structured output	Every listing returns as a clean row with consistent fields for analysis.
Scalable collection	Set a maximum from 1 to 1,000,000 properties per run.

How it compares

No other Store actor targets Auction.com the same way, so the honest comparison is with the alternatives teams actually weigh.

	Auction.com Property Scraper	Build it in-house	By hand
Setup	Run it now, zero config	Days of engineering	None, but hours per pull
When Auction.com changes	Maintained for you	You fix it	You re-learn the page
Proxies, retries, anti-bot	Built in	Your problem	Browser only
Output	Fixed JSON schema, CSV/Excel export	Whatever you build	Copy-paste
Cost	Pay per result	Engineering time	Analyst hours

Configure the run

Drive the Actor from any Auction.com search results URL. Apply your filters on the website first, then paste the URL. The Actor reads every listing on the page and stops when it reaches your maximum property count. The Input tab lists every parameter.

A first run with the defaults:

{
 "startUrl": "https://www.auction.com/residential/IL/Chicago_ct/active_lt/online,in_person,remote_bid,offer_af/single-family,multi-family,condos-townhouses,land_pt/4_bd/1_bt/500_any_sqft/auction_date_order,resi_sort_v2_st/y_nbs/bank-owned,foreclosures,private-seller,newly-foreclosed_at",
 "maxItems": 10
}

A larger pull:

{
 "startUrl": "https://www.auction.com/residential/IL/Chicago_ct/active_lt/online,in_person,remote_bid,offer_af/single-family,multi-family,condos-townhouses,land_pt/4_bd/1_bt/500_any_sqft/auction_date_order,resi_sort_v2_st/y_nbs/bank-owned,foreclosures,private-seller,newly-foreclosed_at",
 "maxItems": 200
}

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the Auction.com Property Scraper.
3. Set your inputs and any filters, then click Start.
4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to Auction.com through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/auction-com-property-scraper-ppe"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results?

Check that your start URL is a valid Auction.com search results page and that it returns listings when you open it in a browser. If the URL has no results, the Actor will return an empty dataset.

The Actor stopped before reaching my maximum property count.

The Actor stops when it runs out of listings on the search results pages. If your filtered URL returns fewer properties than your maximum, the Actor will finish early.

Some fields are empty in my dataset.

Not every listing includes all details. If a property is missing bedrooms or square footage on Auction.com, those fields will be blank in your output.

The Actor is running slowly.

The Actor respects Auction.com's pages to avoid being blocked. If you need faster collection, try narrowing your filters to reduce the number of results pages.

FAQ

Question	Answer
Do I need an Auction.com account to scrape listings?	No. The Actor reads the public search results pages, which are visible without logging in. You do not need an account or an API key.
How do I filter which properties to scrape?	Go to Auction.com, use the search filters on the website to narrow by location, property type, auction status, and other criteria. Copy the resulting URL from your browser and paste it into the Actor's start URL field.
What data does the Actor return for each property?	Each row includes the property address, city, state, ZIP, bedrooms, bathrooms, square footage, year built, property type, auction date, starting bid, auction event type, and a link to the detail page.
Can I scrape more than one search results page?	Yes. The Actor paginates through all results pages for your URL until it reaches the maximum number of properties you set.
How many properties can I scrape in one run?	You can set the maximum from 1 up to 1,000,000 properties. The Actor stops when it hits that number or runs out of listings.
What export formats are supported?	You can export your dataset as CSV, JSON, Excel, or XML from the Apify platform.
Does the Actor scrape sold or off-market properties?	It scrapes whatever listings are visible on the search results page you provide. If your Auction.com filters include sold or off-market properties, those will be collected.
Can I schedule this Actor to run automatically?	Yes. Apify supports scheduled runs. You can set the Actor to run daily or weekly to track new listings over time.
What if Auction.com changes its page layout?	The Actor is maintained to adapt to site changes. If you notice missing data, contact support and the maintainer will update the scraper.
Is this Actor affiliated with Auction.com?	No. This is an independent scraper built on the Apify platform. It is not endorsed by or affiliated with Auction.com, LLC.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Auction.com, LLC. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.