Realtor Agent Scraper (All-in-one) 🏡🤖
2 hours trial then $24.99/month - No credit card required now
Realtor Agent Scraper (All-in-one) 🏡🤖
2 hours trial then $24.99/month - No credit card required now
Unlock the Power of Realtors with Automated Agent Profile Scraping (All-in-One) – effortlessly gather key insights and data on real estate agents, teams, and companies 📸🏡🔑. Customize your advanced queries by spoken languages, filter agents with photos, credentials, and more! 📈
You can access the Realtor Agent Scraper (All-in-one) 🏡🤖 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 "city": "New York, NY",
10 "type_": "Real Estate Agent 🏡",
11 "photos": "Yes ✅",
12 "language": ["Any"],
13 "credentials": ["Any"],
14 "page": 1,
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("scrapestorm/realtor-agent-scraper-all-in-one").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23 print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startRealtor Agent Scraper (All-in-one) 🏡🤖 API in Python
The Apify API client for Python is the official library that allows you to use Realtor Agent Scraper (All-in-one) 🏡🤖 API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Storm_ScraperActor Metrics
2 monthly users
-
1 star
>99% runs succeeded
Created in Dec 2024
Modified 11 hours ago
