Pricing

from $0.40 / 1,000 listings

Zumper Scraper - US Apartments & Rentals Data

Scrape Zumper rentals by city: full price/bed/bath/sqft ranges, address, neighborhood, amenities, pets, photos, agent and brokerage contact, ratings and dates. Fast, HTTP-first, no browser.

Pricing

from $0.40 / 1,000 listings

Rating

0.0

(0)

Developer

Ihor Bielievskiy

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Categories

Real estate

Lead generation

You can access the Zumper Scraper - US Apartments & Rentals Data 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    "startUrls": [{ "url": "https://www.zumper.com/apartments-for-rent/san-francisco-ca" }],
10    "citySlugs": ["austin-tx"],
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("bujhmml/zumper-rentals-scraper").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

Zumper Scraper - US Apartments & Rentals Data API in Python

The Apify API client for Python is the official library that allows you to use Zumper Scraper - US Apartments & Rentals Data API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Zumper Scraper - US Apartments & Rentals Data API in JavaScript

Zumper Scraper - US Apartments & Rentals Data API through CLI

Zumper Scraper - US Apartments & Rentals Data OpenAPI definition

Zumper Scraper - US Apartments & Rentals Data API

Zumper Listings Scraper

velvety_bedbug/zumper-listings-scraper

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kane liu

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agenscrape/zumper-property-scraper

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Zumper Apartment Scraper

moving_beacon-owner1/zumper-apartment-scraper

Scrapes Zumper.com rental listings for a specified location and provides structured apartment data. Output includes: - Address - Price (raw range string) - Beds (e.g., "1 Bed") - Baths (e.g., "1 Bath") - Listing URL All values are returned as raw strings from Zumper

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Zumper Apartment Listings Scraper - US Rentals

parseforge/zumper-scraper

Pull active property listings from Zumper with address, price, bedrooms, bathrooms, area, agent and full description. Built for buyers, agents, investors and real estate analytics. Run on demand or on a recurring schedule and feed every row into your favourite analytics or workflow stack.

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🏙️ Zumper Rental Scraper - Apartments + Lead Scores

benthepythondev/zumper-rental-scraper

Scrape rental listings from Zumper.com with ratings, verification status, and Airbnb-friendly filters. Extract prices, beds/baths, amenities, photos, and landlord ratings. Filter by location, price, and property type. Includes lead scoring. Perfect for rental research and property investors.

ben

Zumper Scraper with Contacts | Fast & Reliable

fatihtahta/zumper-scraper

Extract Zumper rental listings at scale with rich property detail, contact data, ratings, fees, amenities, and flexible market filters. Built for enterprise-grade US rental intelligence, lead enrichment, market monitoring, and automated analytics pipelines.

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Zumper Property Search Scraper

stealth_mode/zumper-property-search-scraper

Scrape rental property listings from Zumper.com with 70+ data fields per result — including pricing, amenities, agent info, location, and availability. Perfect for real estate analysts, investors, and proptech developers needing structured rental market data.