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LoopNet Listing Scraper

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Scrapes commercial real estate listings from LoopNet, including listing IDs, URLs, titles, locations, last-modified dates, images, and optional property details such as price, size, coordinates, property type, year built, and cap rate.

Pricing

from $4.99 / 1,000 results

Rating

0.0

(0)

Developer

Jamshaid Arif

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Input

Field	Default	Description
`location`	`""`	Free-text location filter, e.g. `Austin, TX` or just `TX` for a whole state. Empty = all locations.
`listing_scope`	`new`	`new` = recently added listings; `all` = the full listing corpus (much larger, slower).
`fetch_details`	`false`	Also fetch each listing for extra fields (price, address, geo, property facts). Works best with a US-based proxy.
`max_results`	`20`	Maximum listing records to return (1–2000).
`proxyConfiguration`	Optional	Enable a US-based proxy for the most reliable results.

Output

Each result is one commercial listing:

{
    "listing_id": "41363015",
    "url": "https://www.loopnet.com/Listing/3305-Steck-Ave-Austin-TX/41363015/",
    "title": "3305 Steck Ave Austin TX",
    "state": "TX",
    "last_modified": "2026-08-14T10:56:28Z",
    "image_url": "https://images1.loopnet.com/i2/.../image.jpg",
    "raw": { ... }
}

With fetch_details enabled, records may also gain name, description, street_address, city, region, postal_code, latitude, longitude, price, property_type, building_size, year_built, cap_rate and a facts map.

Notes

Runs with empty input (defaults to recently added listings).
Enable a US-based proxy for the most reliable results, especially when using fetch_details.
Intended for research and personal use; please respect LoopNet's terms of use.

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