Realtor.com Scraper avatar
Realtor.com Scraper
Try for free

3 days trial then $25.00/month - No credit card required now

View all Actors
Realtor.com Scraper

Realtor.com Scraper

epctex/realtor-scraper
Try for free

3 days trial then $25.00/month - No credit card required now

Uncover valuable insights from realtor.com's extensive property listings. Extract descriptions, images, features, property details, pricing, neighborhood details, nearby schools, and more for millions of properties. Customize your searches and filters to find the perfect real estate data.

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 more

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8    "startUrls": [
9        "https://www.realtor.com/realestateandhomes-search/Las-Vegas_NV",
10        "https://www.realtor.com/realestateandhomes-detail/8209-Spring-Arts-Ave_Las-Vegas_NV_89129_M18560-54834",
11        "https://www.realtor.com/realestateagents/5a28883df695ab0010dfe28b",
12    ],
13    "maxItems": 5,
14    "endPage": 1,
15    "search": "las vegas",
16    "extendOutputFunction": "($) => { return {} }",
17    "proxy": { "useApifyProxy": True },
18}
19
20# Run the Actor and wait for it to finish
21run = client.actor("epctex/realtor-scraper").call(run_input=run_input)
22
23# Fetch and print Actor results from the run's dataset (if there are any)
24print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
25for item in client.dataset(run["defaultDatasetId"]).iterate_items():
26    print(item)
27
28# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Community
Actor metrics
  • 40 monthly users
  • 9 stars
  • 98.8% runs succeeded
  • 4.8 hours response time
  • Created in Mar 2021
  • Modified about 23 hours ago