Keller Williams Scraper
Pricing
$25.00/month + usage
Keller Williams Scraper
Keller Williams Scraper extracts real estate data from Keller Williams listings, including property details, prices, locations, and images. Ideal for market analysis, lead generation, and investment research. Easily integrates with APIs, exports to JSON/CSV, and automates data collection.
0.0 (0)
Pricing
$25.00/month + usage
0
Total users
2
Monthly users
2
Runs succeeded
>99%
Last modified
2 months ago
You can access the Keller Williams Scraper 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 Integrations settings 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 "urls": ["https://www.kw.com/property/51-Delta-Drive-Windham-ME-04062/1924328476800128"],10 "proxyConfiguration": {11 "useApifyProxy": True,12 "apifyProxyGroups": ["RESIDENTIAL"],13 },14}15
16# Run the Actor and wait for it to finish17run = client.actor("getdataforme/keller-williams-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-startKeller Williams Scraper API in Python
The Apify API client for Python is the official library that allows you to use Keller Williams Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
