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Target Overview Data

An initial and comprehensive understanding of a target entity is essential to our SAAS platform's due diligence process. This is where our 'Target Overview' data collection becomes critical. Our public data scrapers collect a wealth of information to build a detailed profile of the target entity, a process that forms the basis for all subsequent analyses and reporting.

Data Categories​

Target overview data is diverse, with information being collected from several domains:

MCA Data​

Our Python scripts and spiders fetch crucial data from the Ministry of Corporate Affairs (MCA), an Indian regulatory body responsible for administering the Companies Act, 2013. We collect a company's master data, director data, and other pertinent details, such as related businesses, past directorships, newly incorporated companies, etc.

DataGov Data​

DataGov, or data.gov.in, is the Indian Government's open data platform that provides APIs for a variety of public datasets. Our spiders extract relevant information from this platform to aid in our due diligence processes.

Zaubacorp Data​

Zaubacorp is a provider of business and director information on Indian companies. Our spiders scrape relevant data about companies and their directors, their other directorships, and past director records.

Credit Ratings​

Credit ratings are essential indicators of an entity's financial health and are part of the target overview data. Our spiders collect ratings data from leading credit rating agencies such as CRISIL and ICRA.

Extraction Technology​

To extract this information, we employ a variety of Python-based tools, including Python scripts for direct data access and the Scrapy library to develop spiders that can navigate these websites and extract relevant data. In some cases, the Selenium library is also used to interact with JavaScript-heavy websites or those with complex navigation structures.

Summary​

The Target Overview data forms the backbone of our due diligence reports, providing a broad snapshot of the target entity's business activities, key personnel, creditworthiness, and other related information. By harnessing the power of Python scripts and scraping technologies, we can gather and structure this data in a way that allows for meaningful analysis and decision-making.

This ensures that our platform can provide a detailed and accurate picture of a target entity's profile, enabling effective and informed third-party risk management.