Realtor Agents Scraper
3 days trial then $30.00/month - No credit card required now
Realtor Agents Scraper
3 days trial then $30.00/month - No credit card required now
Get valuable insight from realtor agents data. This scraper provides you complete database of all agents from realtor.com including agent contact details and statistics. You can scrape specific area of choice to analyze as well.
You can access the Realtor Agents 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 "listUrls": [{ "url": "https://www.realtor.com/realestateagents/27872" }],
10 "agentUrls": [{ "url": "https://www.realtor.com/realestateagents/566f400b0fa41701007145a7" }],
11 "threads": "2",
12 "proxy": {
13 "useApifyProxy": True,
14 "apifyProxyGroups": ["RESIDENTIAL"],
15 },
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("dhrumil/realtor-agents-scraper").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
23for item in client.dataset(run["defaultDatasetId"]).iterate_items():
24 print(item)
25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startRealtor Agents Scraper API in Python
The Apify API client for Python is the official library that allows you to use Realtor Agents Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Dhrumil BhankharActor Metrics
22 monthly users
-
3 stars
>99% runs succeeded
Created in Dec 2023
Modified 8 months ago
