Pricing

$19.49/month + usage

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Domain.com.au Real Estate Agents Scraper 🏢📊👤 - Cheap

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Storm_Scraper

🔍 Easily gather real estate agent data from Domain.com.au 🔓 — including thousands of agent profiles from across Australia. Filter by location and collect detailed information about real estate agents. No proxy required 🚫 — perfect for market research, lead generation and performance benchmarking.

5.0 (1)

Pricing

$19.49/month + usage

Total users

Monthly users

Runs succeeded

>99%

Last modified

22 days ago

Agents

Lead generation

Real estate

You can access the Domain.com.au Real Estate Agents Scraper 🏢📊👤 - Cheap 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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    "target_url": "https://www.domain.com.au/real-estate-agents/north-sydney-nsw-2060/",
10    "max_items": 70,
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("scrapestorm/domain-com-au-real-estate-agents-scraper---cheap").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19    print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Domain.com.au Real Estate Agents Scraper 🏢📊👤 - Cheap API in Python

The Apify API client for Python is the official library that allows you to use Domain.com.au Real Estate Agents Scraper 🏢📊👤 - Cheap API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

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