LoopNet Scraper – CRE Listings, Brokers & Deal Intel
Pricing
from $1.20 / 1,000 commercial property listings
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.
You can access the LoopNet Scraper – CRE Listings, Brokers & Deal Intel 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.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "mode": "SEARCH",10 "searchUrls": [{ "url": "https://www.loopnet.com/search/office-space/los-angeles-ca/for-lease/" }],11 "listingUrls": [{ "url": "https://www.loopnet.com/Listing/1435-River-Ave-Camden-NJ/31948105/" }],12 "maxItems": 25,13 "proxyConfiguration": { "useApifyProxy": True },14}15
16# Run the Actor and wait for it to finish17run = client.actor("trakk/loopnet-commercial-real-estate-scraper").call(run_input=run_input)18
19# Fetch and print Actor results from the run's dataset (if there are any)20print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")21for item in client.dataset(run.default_dataset_id).iterate_items():22 print(item)23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use LoopNet Scraper – CRE Listings, Brokers & Deal Intel API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: