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Loopnet Scraper
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Loopnet Scraper

Loopnet Scraper

epctex/loopnet-scraper
Try for free

3 days trial then $30.00/month - No credit card required now

Scrape loopnet.com for millions of properties or businesses. Extract real estate properties, descriptions, images, contact information, tax properties, zone information, and detailed information like size and price. You can specify search terms, filters, and much more. Extremely fast! No limits!

The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn mode

Node.js

Python

curl

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8    "startUrls": [
9        "https://www.loopnet.com/biz/new-york-businesses-for-sale/",
10        "https://www.loopnet.com/biz/Business-Opportunity/six-figure-income-selling-raising-champion-ragdoll-kittens/2048785/",
11        "https://www.loopnet.com/search/office-buildings/usa/for-sale/?sk=c6f67af77ac46e004033dd553ebc1429&e=u",
12        "https://www.loopnet.com/Listing/701-Technology-Dr-Canonsburg-PA/27506067/",
13        "https://www.loopnet.com/Listing/825-Third-Ave-New-York-NY/13877304/",
14        "https://www.loopnet.com/Listing/240-Riverside-Blvd-New-York-NY/17114174/",
15    ],
16    "maxItems": 20,
17    "endPage": 1,
18    "extendOutputFunction": "($) => { return {} }",
19    "customMapFunction": "(object) => { return {...object} }",
20    "proxy": { "useApifyProxy": True },
21}
22
23# Run the Actor and wait for it to finish
24run = client.actor("epctex/loopnet-scraper").call(run_input=run_input)
25
26# Fetch and print Actor results from the run's dataset (if there are any)
27for item in client.dataset(run["defaultDatasetId"]).iterate_items():
28    print(item)
Developer
Community logoMaintained by Community
Actor metrics
  • 19 monthly users
  • 83.6% runs succeeded
  • Modified about 23 hours ago

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