CRE Listing Extractor — Crexi & LoopNet for-sale listings

Find commercial real estate for-sale listings by city and state. Get structured prices, property details, broker names and companies, and source-backed financial figures when published. Run the same search again to see which listings are new or changed.

What it does

• Searches Crexi and LoopNet and combines duplicate listings while preserving their source links.
• Returns asking price or auction bid, address, property type, size, status, description and days on market when available.
• Includes published cap rate and NOI with source evidence and dates when available. Missing figures stay missing; they are never estimated.
• Marks whether a LoopNet result is in the requested city or a neighboring city in the same metro area. Crexi rows with a known city or state mismatch are excluded.
• Supports repeat runs that compare changes in price, status, cap rate, NOI, title and description. Set a recurring Apify task to automate checks.

Quick start

Choose both sources, enter the same city and state for each, and set a small listing limit. Example input for Dallas, Texas:

{
  "sources": ["crexi", "loopnet"],
  "crexi": {"city": "Dallas", "state": "TX", "size": 5, "pages": 1},
  "loopnet": {"city": "Dallas", "state": "TX", "maxListings": 5}
}

Run the Actor, then open the Dataset tab for the listings. Every run also writes a run_summary with search coverage and a change_report with new, changed and unchanged counts. The first run establishes the comparison baseline; rerun the same search to see changes.

You can also refresh known listings with crexi.refreshIds and loopnet.refreshUrls. Supply both loopnet.city and loopnet.state for regional search. Omitting both requests global sitemap sampling rather than a regional search.

Output

Each listing includes its source URL and identifiers, title, address, price, property attributes and source provenance. The detail field explains whether cap rate, NOI, broker name or other information was extracted, unpublished or ambiguous. Financial values include available evidence, period, basis and as-of date. geo_filter explains how the actual location compares with the requested city.

Pricing

• Actor start: $0.045 per run.
• Listing: $0.0135 per unique listing written to the dataset.
• run_summary and change_report records do not trigger a listing charge.

For example, 10 returned listings cost $0.18 in event charges (one start plus ten listings). Platform usage may also apply according to your Apify plan.

Coverage and limitations

This Actor extracts sales listings. It does not search lease inventory or provide broker phone numbers or email addresses. A source may omit financial details; the Actor does not invent them. LoopNet regional searches can include nearby cities, which are labeled in each result. Searches have strict page and listing limits; they are a sample of available inventory, not a promise of full market coverage. Site availability and listing data can change. Verify property and financial information with its source before making decisions.