https://github.com/futuresea-dev/realtor-scrape

realtor_scrape
https://github.com/futuresea-dev/realtor-scrape

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realtor_scrape

• Host: GitHub
• URL: https://github.com/futuresea-dev/realtor-scrape
• Owner: futuresea-dev
• Created: 2024-11-06T19:24:05.000Z (1 day ago)
• Default Branch: main
• Last Pushed: 2024-11-06T19:26:08.000Z (1 day ago)
• Last Synced: 2024-11-06T20:29:25.921Z (1 day ago)
• Language: Python
• Size: 165 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Scraping Script for Real Estate Agents Data

This repository contains a Python script that uses Selenium to scrape data on real estate agents from [Realtor.com](https://www.realtor.com/). The script retrieves important information about real estate agents based on a specified location.

## Table of Contents

- [Requirements](#requirements)

- [Installation](#installation)

- [Usage](#usage)

- [Contributing](#contributing)

- [License](#license)

## Requirements

- Python 3.x

- SeleniumBase

## Installation

Follow these steps to set up your environment:

1. **Install Python** (if you haven't already):

   - Download and install Python from the [official website](https://www.python.org/downloads/).

   ![Download and install Python](images/screenshot_1.png)

   - Ensure that Python is added to your system's PATH. You can check this by running the following command in your terminal or command prompt:

     ```bash

     python --version

     ```

2. **Install SeleniumBase**:

   ![install seleniumbase](images/screenshot_2.png)

   - Open your terminal or command prompt and run the following command:

     ```bash

     pip install seleniumbase

     ```

## Usage

To run the script and scrape real estate agents' data, follow these steps:

1. Clone the repository (if applicable):

   ```bash

   git clone 

2. Navigate to the directory where the script is located:

    ```

    cd 

    ```

3. Run the script with the URL for the desired location:

![run script](images/screenshot_3.png)

```

python main.py https://www.realtor.com/realestateagents/trenton_nj

```

Output Format

The script will output the scraped data to a file named agents_data.csv in the same directory. The CSV file will contain the following columns:

Agent Name

Company

Phone Number

Website

Other relevant details