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from $1.20 / 1,000 results

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LoopNet Scraper - Commercial Properties, Prices & Brokers

Try for free

Scrape LoopNet commercial listings across the US, including office, retail, industrial, multifamily, land and hotels. Search by city or URL and extract 25+ fields including price, size, address, broker contacts and photos, with optional detail enrichment.

Pricing

from $1.20 / 1,000 results

Rating

0.0

(0)

Developer

Abot API

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

Categories

Real estate

Automation

Developer tools

You can access the LoopNet Scraper - Commercial Properties, Prices & Brokers programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "mode": "search",
10    "locations": ["united-kingdom"],
11    "urls": ["https://www.loopnet.co.uk/search/commercial-property/london-england--united-kingdom/for-rent/"],
12    "incrementalMode": False,
13    "emitUnchanged": False,
14    "emitExpired": False,
15    "proxy": {
16        "useApifyProxy": True,
17        "apifyProxyGroups": ["RESIDENTIAL"],
18    },
19}
20
21# Run the Actor and wait for it to finish
22run = client.actor("abotapi/loopnet-scraper").call(run_input=run_input)
23
24# Fetch and print Actor results from the run's dataset (if there are any)
25print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
26for item in client.dataset(run.default_dataset_id).iterate_items():
27    print(item)
28
29# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

LoopNet Scraper - Commercial Properties, Prices & Brokers API in Python

The Apify API client for Python is the official library that allows you to use LoopNet Scraper - Commercial Properties, Prices & Brokers API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

LoopNet Scraper - Commercial Properties, Prices & Brokers API in JavaScript

LoopNet Scraper - Commercial Properties, Prices & Brokers API through CLI

LoopNet Scraper - Commercial Properties, Prices & Brokers OpenAPI definition

LoopNet Scraper - Commercial Properties, Prices & Brokers API

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memo23/loopnet-scraper-ppe

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Crawler Bros

163

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crawlerbros/crexi-real-estate-scraper

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Crawler Bros

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Crexi Real Estate Listings Scraper

parseforge/commercial-real-estate-listings-scraper

Scrapes Crexi commercial real estate listings by search filters or direct property URLs. Returns asking price, cap rate, square footage, and property details as flat rows.

ParseForge

128

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trakk/loopnet-commercial-real-estate-scraper

Collect LoopNet commercial property searches and full listing details with prices, cap rates, building facts, brokers, photos, transit, traffic and change monitoring. Export analysis-ready US CRE data as JSON, CSV or Excel.

Kelopr_bk

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Scrape Fotocasa.es property listings from any search URL: price, size, rooms, energy certificate, coordinates, agency phone and every photo. Export to CSV, JSON, Excel or XML.

ParseForge

Crexi Scraper with Agents & Financials

fatihtahta/crexi-scraper

Extract Crexi listings at scale with rich commercial property detail, broker contacts, deep listing metadata and market insights. Built for enterprise-grade commercial real estate intelligence, deal sourcing, and automated analytics pipelines.

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Collect Turo vehicles by location and trip dates or listing URLs. Get make, model, year, ratings, photos, dated price estimates, vehicle details and public host profiles, with resume and recurring change detection.