ngo darpan side scaping and data extracting -NGO Darpan Data Extraction and Management System Using Python Automation

1. Project Title ([login to view URL]) Development of an Automated NGO Darpan Data Extraction, Processing, and Management System Using Python, Selenium, BeautifulSoup, SQLite, and Streamlit ________________________________________ 2. Abstract The NGO Darpan portal is India's central repository for registered Non-Governmental Organizations (NGOs), Voluntary Organizations (VOs), Trusts, Societies, and Section 8 Companies. The portal contains publicly available organizational information including registration details, addresses, office bearers, operational sectors, and contact information. The objective of this project is to develop a Python-based automation system capable of systematically collecting publicly available NGO information after authorized user interaction where required (such as CAPTCHA), processing the extracted data, storing it in a structured database, and generating reports and analytical dashboards. The system combines Selenium for browser automation, BeautifulSoup for HTML parsing, Pandas for data processing, SQLite/MySQL for storage, and Streamlit for dashboard visualization. The proposed solution minimizes manual effort, improves data accuracy, supports large-scale data management, and enables researchers, government agencies, CSR departments, and nonprofit organizations to analyze publicly available NGO information efficiently while respecting applicable website terms and legal requirements. ________________________________________ 3. Introduction India has more than four lakh registered NGOs working across healthcare, education, environment, women empowerment, rural development, disaster management, skill development, and various social sectors. The NGO Darpan portal provides centralized information about these organizations. However, manually collecting information from thousands of NGO profiles is time-consuming and inefficient. This project aims to automate the collection and organization of publicly available information using modern web automation technologies, while incorporating checkpoints for manual actions (such as CAPTCHA solving) when required. ________________________________________ 4. Problem Statement Manual collection of NGO information presents several challenges: • Large volume of NGO records • Time-consuming manual data entry • Human errors • Duplicate records • Difficulty maintaining updated datasets • Limited analytical capabilities • Lack of centralized reporting An automated system is required to organize publicly available information into structured datasets suitable for analysis and reporting. ________________________________________ 5. Objectives Primary Objectives • Automate collection of publicly available NGO data. • Reduce manual work. • Improve data accuracy. • Generate structured datasets. • Create searchable databases. • Export reports in multiple formats. Secondary Objectives • Develop analytical dashboards. • Support state-wise and district-wise analysis. • Generate statistical reports. • Facilitate CSR research. • Assist academic and social research. ________________________________________ 6. Scope The system is designed to: • Open NGO Darpan website • Navigate search pages • Allow manual CAPTCHA completion where required • Extract publicly available NGO information • Handle pagination • Visit profile pages • Store structured data • Export Excel, CSV, JSON • Generate dashboards • Resume interrupted sessions • Log extraction activities ________________________________________ 7. System Architecture User ↓ Python Application ↓ Selenium Browser Automation ↓ NGO Darpan Website ↓ Manual CAPTCHA (when required) ↓ Search Results ↓ Profile Pages ↓ BeautifulSoup Parser ↓ Data Cleaning Engine ↓ SQLite/MySQL Database ↓ Analytics Engine ↓ Excel Reports ↓ Dashboard ________________________________________ 8. Software Requirements Programming Language Python 3.13 ________________________________________ Libraries • Selenium • BeautifulSoup4 • Pandas • OpenPyXL • SQLite3 • SQLAlchemy • Requests • lxml • webdriver-manager • Streamlit • Plotly • Matplotlib • tqdm • logging • fake-useragent • python-dotenv ________________________________________ Database SQLite or MySQL ________________________________________ IDE Visual Studio Code PyCharm ________________________________________ Browser Google Chrome ChromeDriver ________________________________________ 9. Hardware Requirements Processor Intel i5 or above RAM 8 GB minimum Storage 20 GB Internet Broadband Connection ________________________________________ 10. Project Modules Module 1 Configuration Management Responsibilities • Read configuration • Logging • Browser options • Database settings ________________________________________ Module 2 Browser Automation Responsibilities • Launch browser • Open website • Fill search forms • Navigate pages • Wait for user to solve CAPTCHA when presented • Submit search • Handle pagination ________________________________________ Module 3 Search Management Functions • State selection • District selection • NGO type selection • Keyword search • Pagination handling ________________________________________ Module 4 Profile Extraction Extract publicly displayed fields such as: • NGO Name • Darpan ID • Registration Number • Registration Date • NGO Type • Address • State • District • PIN Code • Email (if displayed) • Mobile (if displayed) • Website (if displayed) • Working Sectors • Areas of Operation • Key Office Bearers • Source URL ________________________________________ Module 5 HTML Parser Responsibilities • Parse HTML • Remove unwanted tags • Extract tables • Extract labels • Extract values ________________________________________ Module 6 Data Cleaning Responsibilities • Remove duplicates • Standardize text • Validate email format • Normalize phone numbers • Remove null values ________________________________________ Module 7 Database Tables NGO_Master • NGO ID • NGO Name • Darpan ID • Registration Number • NGO Type • State • District • Address • Contact Information • Website • Sector • Source URL NGO_Members • Member Name • Designation • NGO ID NGO_Sectors • Sector Name • NGO ID ________________________________________ Module 8 Export Formats • Excel • CSV • JSON • SQL Backup ________________________________________ Module 9 Dashboard Features • Search NGOs • State statistics • District statistics • Sector analysis • Registration trends • Export reports • Interactive charts ________________________________________ 11. Workflow Start ↓ Load Configuration ↓ Launch Browser ↓ Open NGO Darpan ↓ Select Search Criteria ↓ User Completes CAPTCHA (if prompted) ↓ Submit Search ↓ Read Result List ↓ Open NGO Profile ↓ Extract Public Data ↓ Clean Data ↓ Save Database ↓ Next NGO ↓ Next Page ↓ Repeat ↓ Generate Reports ↓ Export Files ↓ Finish ________________________________________ 12. Database Design NGO_Master • ngo_id • ngo_name • darpan_id • registration_number • registration_date • ngo_type • address • district • state • pincode • email • mobile • website • sectors • source_url • scraped_date ________________________________________ 13. Security Features • Session management • Activity logging • Input validation • Duplicate detection • Resume capability • Configurable request pacing ________________________________________ 14. Error Handling • Browser crash recovery • Timeout handling • Missing element handling • Network failure handling • Database rollback • Retry mechanism • Detailed logging ________________________________________ 15. Reporting Generate: • State-wise NGO count • District-wise NGO count • Sector-wise analysis • NGO type distribution • Contact availability • Registration trends • Export summaries ________________________________________ 16. Deliverables The completed project will include: • Python source code • Configuration files • SQLite/MySQL database schema • Documentation • Installation guide • User manual • Sample output datasets • Dashboard application ________________________________________ 17. Expected Outcomes • Efficient collection of publicly available NGO information • Reduced manual effort • Structured datasets for research and reporting • Faster search and filtering • Improved data organization • Reusable analytics platform ________________________________________ 18. Future Enhancements • Scheduled incremental updates • Advanced data validation • Geospatial visualization • Multi-user authentication • REST API for data access • Cloud deployment • Automated reporting • Machine learning–based data quality checks ________________________________________ 19. Conclusion The proposed NGO Darpan Data Extraction and Management System provides a scalable framework for collecting, organizing, and analyzing publicly available NGO information. By combining browser automation, structured data processing, database storage, and interactive reporting, the system can significantly reduce manual effort while improving data consistency and accessibility. Where the website presents security measures such as CAPTCHA, the workflow is designed to pause for authorized human interaction before continuing automation, ensuring the project remains compatible with responsible and compliant use of the portal.

Project ID: 40566949