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kpemjcohphikhgjkecfpdmgioloaagkk
kpemjcohphikhgjkecfpdmgioloaagkk
Description from extension meta
Scrap data from ZaubaCorp with url, and download data in excel sheet
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Description from store
"ZaubaCorp Data Scraper with Excel Export"
This project aims to build an automated tool to scrape company information from ZaubaCorp using specified URLs. The tool will extract structured data such as company details, directors, financial information, and more, from ZaubaCorp's website. The extracted data will then be processed and exported into an Excel file for easy reference and further analysis.
Enhanced Features:
URL-based Scraping:
Users can provide a list of ZaubaCorp URLs, and the tool will scrape data from each URL systematically.
Data Extraction:
The scraper will fetch the following details (if available):
Company Name
CIN (Corporate Identification Number)
Registration Date
Authorized & Paid-up Capital
Registered Address
Company Status (Active, Strike Off, etc.)
Directors' Details (Name, DIN, Designation, etc.)
Other Relevant Details
Excel Export:
The scraped data will be formatted into an Excel file with clean headers and organized rows for efficient data processing.
Bulk URL Processing:
The tool can process multiple URLs in one go, enabling efficient batch scraping.
Duplicate Entry Prevention:
Ensures that no duplicate company records are included in the final output.
Error Handling:
Handles scenarios such as missing data, inaccessible pages, or CAPTCHA challenges, with logging mechanisms to track issues.
Customization Options:
Users can select specific fields to scrape, ensuring the tool is adaptable to different requirements.
User-Friendly Interface:
Either a simple command-line tool or an intuitive web-based interface for entering URLs and managing scraping tasks.
Scalable Architecture:
Designed to handle a large number of URLs and ensure smooth operation without performance bottlenecks.
Use Cases:
Business Research: Collect comprehensive company profiles for market analysis or investment research.
Lead Generation: Extract contact details and company information for outreach campaigns.
Competitive Analysis: Study competitor data, financials, and directors' networks.
Data Enrichment: Augment existing datasets with detailed company information.
This tool provides an automated and efficient solution for extracting structured data from ZaubaCorp, making it ideal for researchers, marketers, analysts, and businesses needing verified and organized corporate data.
Contact Us
Email: [email protected]
WhatsApp: +919408948050
Website: scrappingtool.com
Blog: https://blog.scrappingtool.com/2025/01/zaubacorp-data-scraping.html?m=1
Youtube: https://www.youtube.com/watch?v=XeeDYb8hvTQ
Statistics
Installs
3
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Rating
0.0 (0 votes)
Last update / version
2025-02-11 / 1.0.2
Listing languages
en-GB