The MCA Scrapping Tool was designed to automate the extraction of corporate filing data from the portal. Traditional manual extraction was time-consuming and error-prone due to frequent CAPTCHA prompts and browser session limits. Our solution combined AI-based OCR and Selenium automation to bypass manual intervention, handle login sessions, solve CAPTCHAs intelligently, and process large datasets efficiently.
80% Accuracy with 90% Automatic
An intelligent automation solution that uses OCR and web automation to extract company data from the website. The system automatically solves CAPTCHAs, processes large batches of Corporate Identification Numbers (CINs), and exports structured filing data to Excel with full logging and error handling.
The tool uses Selenium to automate browser interactions, including secure login and navigation across MCA pages. CAPTCHA images are captured in real time and processed using OCR to predict and submit valid responses. CINs are processed in batches, relevant filing details are scraped dynamically, validated, and stored in structured formats. Pandas and NumPy handle data transformation, cleansing, and export, while exception handling ensures session recovery and retry mechanisms.
The solution uses AI-based OCR for CAPTCHA recognition to enable automated access, along with robust browser session handling and recovery. It supports intelligent retry logic for CAPTCHA or network failures and can process thousands of CINs in batches. Extracted data is structured and normalized, with automated Excel reports and detailed logs generated for tracking and verification.
Core languages for AI and ML, optimized for performance and scalability.
The MCA Scrapping Tool integrates seamlessly with popular content management and marketing platforms, fitting easily into existing business workflows.
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Art Gallery Center
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Adam
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Franz
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Upwork enterprise client
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Gornji Milanovac
The MCA Scrapping Tool is an AI-powered automation system designed to extract corporate filing data from the MCA portal. It eliminates manual data collection by using OCR and browser automation to handle logins, solve CAPTCHAs, and process large datasets efficiently.
Manual data extraction from the MCA portal is time-consuming and error-prone due to frequent CAPTCHA prompts and session timeouts. This tool automates the entire workflow, significantly reducing manual effort and improving efficiency.
The system uses AI-based OCR to capture and interpret CAPTCHA images in real time. It intelligently predicts valid responses and submits them automatically, reducing the need for manual input.
Yes. The tool supports batch processing of thousands of Corporate Identification Numbers (CINs), making it ideal for large-scale data extraction tasks.
The OCR-based CAPTCHA recognition achieves approximately 80% accuracy with up to 90% automation efficiency, supported by intelligent retry mechanisms for failed attempts.
The system includes automated session recovery, intelligent retry logic, and exception handling to manage CAPTCHA failures, session timeouts, or network interruptions.
Extracted data is validated, normalized, and exported into structured Excel or CSV reports, complete with detailed logs for tracking and verification.
The tool is built using Python, Selenium for browser automation, Pandas and NumPy for data processing, and OCR technology for CAPTCHA recognition.
Yes. The extracted data can integrate with ERP systems, compliance and audit tools, workflow automation systems, and data warehousing pipelines.
The MCA Scrapping Tool is ideal for compliance teams, auditors, legal firms, financial analysts, and enterprises that require large-scale, accurate corporate filing data extraction.
Duration 6 months
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