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Realtor Scraper

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Realtor Scraper

Realtor Scraper

onidivo/realtor-scraper
Try for free

1 day trial then $25.00/month - No credit card required now

Crawl the Realtor real estate listings site and extract data about homes for sale, rent, or sold. Scrape home details for multiple search locations (City, Neighborhood, Zip, and County) and various search criteria and filters.

You can access the Realtor Scraper programmatically from your own Python 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 Integrations settings in Apify Console.

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    "startUrls": [
10        { "url": "https://www.realtor.com/realestateandhomes-search/San-Francisco_CA/dom-1/price-350000-1200000" },
11        { "url": "https://www.realtor.com/realestateandhomes-detail/327-Springfield-Ave_Hasbrouck-Heights_NJ_07604_M60638-38753" },
12    ],
13    "proxyConfiguration": { "useApifyProxy": True },
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("onidivo/realtor-scraper").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22    print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Realtor Scraper API in Python

The Apify API client for Python is the official library that allows you to use Realtor Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community
Actor metrics
  • 2 monthly users
  • 2 stars
  • 100.0% runs succeeded
  • Created in Feb 2024
  • Modified about 1 month ago