Nexa Auto automates the process of verifying the authenticity of addresses for room service eligibility and retrieving detailed specifications across multiple websites. Utilizing Selenium for web automation and GPT for handling missing data, Nexa Auto significantly reduces manual effort in data entry tasks.
- Automated Address Lookup: Seamlessly searches and verifies addresses across Zillow, Trulia, Apartments.com, and Redfin.
- Detailed Address Specifications: Automatically retrieves specific details such as building type, complex address, units count, buildings count, apartment availability, complex name, URL, apartment alternate address, and comments.
- Web Automation with Selenium: Efficiently interacts with web pages, mimicking manual search tasks to collect and verify data.
- Handles Missing Information: Utilizes a reverse-engineered GPT model to predict missing address data when websites do not provide complete information.
- Customizable and Scalable: Easily adaptable to include additional websites or other data verification tasks.
- Time-Saving: Drastically reduces the time spent on repetitive data entry by automating the entire process.
- Error Reduction: Minimizes human error by automating the verification and data entry process.
- Seamless Integration: Combines web scraping and AI to ensure accuracy and reliability in data collection.
- Data Entry Automation: Ideal for businesses or individuals needing to verify large lists of addresses quickly and accurately, along with detailed specifications.
- Room Service Eligibility Verification: Ensures addresses qualify for room service by cross-referencing multiple reliable sources.
- Real Estate Data Collection: Gathers comprehensive details about properties, including availability, building type, and more.
- Scalable Web Scraping: Can be adapted for scraping other types of data from various websites.
- Data Completeness: Uses AI to predict and fill in missing information, ensuring complete data sets.
- Customized Data Verification: Suitable for any task requiring verification of information and detailed specifications across multiple online sources.
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- Step 1: Install required libraries.
pip install -r requirements.txt
-
Step 2: Store input as
data.xlsx
ininput
directory. -
Step 3: Run
nexaauto.py
in terminal
python nexaauto.py
This project is licensed under the MIT.
We’re always open to contributions and fixing issues—your help makes this project better for everyone.
If you encounter any errors or issues, please don’t hesitate to raise an issue. This ensures we can address problems quickly and improve the project.
For those who want to contribute, we kindly ask you to review our Contribution Guidelines before getting started. This helps ensure that all contributions align with the project's direction and comply with our existing license.
We deeply appreciate everyone who contributes or raises issues—your efforts are crucial to building a stronger community. Together, we can create something truly impactful.
Thank you for being part of this journey!
For any questions, please reach out via hello@darsan.in or LinkedIn.
Special thanks to JE-Chen for their work on ReEdgeGPT, which was instrumental in the development of the GPT integration for this project.
- address verification
- web automation
- selenium scraping
- GPT integration
- data entry automation
- real estate data
- address lookup
- room service eligibility
- web scraping
- missing data prediction
- AI-enhanced automation
- customizable scripts
- scalable automation
- error reduction
- data completeness
- data verification
- real estate
- automation tools
- address validation
- property details