Scraper Scraper

Scrape homes around the United States

This robust scraper automates the extraction of crucial details about available apartments across the United States, providing an efficient solution for your home hunting endeavors.

Why Opt for the Scraper?

For individuals seeking a new home, real estate professionals, or property investors, the Scraper streamlines the apartment search process. It swiftly captures essential information such as property URLs, names, addresses, prices, bedroom counts, descriptions, contact phone numbers, and primary gallery images. This automation significantly reduces manual effort and delivers organized data to facilitate informed decision-making.

How to Use this Tool

  1. Access the Scraper: Download the Scraper workflow from the marketplace through GoLess Extension.

  2. Input Location Details: Enter the desired location following the format: city, state (e.g., Los Angeles, CA or New York, NY) into the "Location" field.

  3. Specify Result Quantity: Determine the number of homes to scrape per search query using the "Per result" field.

  4. Initiate Scraper: Run the workflow to start extracting apartment details for the specified location.

Required Input Data:

  • Location
  • Per Result

Extracted Data Fields:

  • Home URL
  • Name
  • Address
  • Price
  • Number of Bedrooms
  • Description
  • Contact Phone Number
  • Main Gallery Image

Frequently Asked Questions:

  1. Is commercial use allowed?

    • Absolutely, the Scraper is suitable for professional purposes, aiding in efficient apartment searches for commercial or personal projects.
  2. Does it collect personal user information?

    • No, this scraper exclusively focuses on extracting publicly available data related to apartment listings without gathering any personal information.
  3. Is there a limit to the number of homes I can scrape in one run?

    • While excessive requests might affect performance, the scraper allows users to extract a reasonable quantity of home listings in a single execution.



Last update

09 June 2024

Created by

Elliot Smith

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