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We have an Excel file containing 4,300+ company websites. You need to populate only 1 Column head namely "Teas Details". I need a Python-based automation solution (Playwright, Selenium, Scrapy, etc.) that will: 1. Visit each company website. 2. Look for Team, Leadership, About Us, Meet the Team, Our People, Management, Staff, or similar pages. 3. If a team/leadership page exists, count the visible team members listed on that page and populate the "Team Details" column with the numeric count only (examples: 2, 5, 12, etc.). 4. If no team page is found, populate: No Team Page Found 5. If the website field is blank or missing, populate: No Team Page Found Requirements: * Process 4,300+ records automatically. * Update only the Team Details column. * Return the completed Excel file. * Must work across different website structures. * Prefer Python + Playwright/Selenium solution. * Looking for a fast turnaround. Please explain: * Which technology you will use. * Expected completion time. * Estimated success rate. * Whether you have handled similar web scraping / data extraction projects before. Need only genuine Python Experts who can do this quickly within today itself, in next 5-6 hours so. In your bid place "I CAN" so that can sense you have read the project details carefully. Don't want any casual freelancer here as we have tight deadline. So, bid carefully and this automation need to be done within next 5-6 hrs or so.
Project ID: 40490695
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Active 56 yrs ago
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HOWRAH, India
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Member since Mar 24, 2022
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