GLOBE WFM Site Crawler

The GLOBE WFM Site Crawler is an innovative tool designed to streamline data collection and management for GLOBE Telecom's workforce operations. This web crawler automates the extraction of daily installation assignments from the Workforce Management (WFM) site, saving valuable time and eliminating manual effort. The collected data is systematically stored in a database and can be exported in a predefined format to Excel, enabling quick reporting and seamless integration into other business processes.

This project exemplifies the power of automation and data handling in enhancing operational efficiency, particularly in large-scale organizations like GLOBE Telecom.

Key Features

   1. Automated Data Collection
The crawler is programmed to navigate the Workforce Management site, retrieve daily installation assignments, and parse the relevant data accurately.
      2. Database Storage
Extracted data is stored in a centralized database, ensuring secure and structured data management. The system uses MySQL for centralized storage and SQLite for local caching and offline capabilities.
      3. Excel Export
With built-in functionality for exporting data to Excel in predefined formats, the tool provides users with ready-to-use reports tailored to business requirements.
      4. Error Handling and Logging
The crawler is equipped with robust error-handling mechanisms to manage connectivity issues or unexpected site changes. Detailed logs are generated to help troubleshoot any anomalies.
      5. Scalable Design
Designed to adapt to future requirements, the system supports adding more data sources or modifying the export formats without major overhauls.

Technology Stack

1. Python Language

Python was chosen for its simplicity, versatility, and rich ecosystem of libraries suitable for web crawling and data manipulation.

2. Web Crawling Libraries

Libraries such as BeautifulSoup and Scrapy were utilized to parse HTML and retrieve structured data from the WFM site efficiently.

3. Database Solutions

MySQL: Used for centralized storage, ensuring data integrity and accessibility for multiple users.
SQLite: A lightweight database for local storage, supporting offline data access and quick processing.

4. Excel Export

The pandas and openpyxl libraries handle data export, ensuring the Excel files adhere to predefined business formats and are compatible with other tools.

5. Scheduling and Automation

To automate data retrieval, the tool uses scheduling libraries such as APScheduler, enabling it to run at predefined intervals.

Benefits

Improved Efficiency: Automates repetitive tasks, reducing manual data entry.
Enhanced Accuracy: Minimizes errors associated with manual data handling.
Real-Time Insights: Provides quick access to updated workforce assignments for better planning.
Ease of Integration: Preformatted Excel exports make it easy to integrate with other systems.

The GLOBE WFM Site Crawler showcases the potential of automation to tackle routine operational challenges, empowering teams to focus on strategic tasks and improving overall productivity. This project is a step toward modernizing workforce management practices using technology.