University Data Scraping from Top 4000 from their official website
Budget: ₹37,500 – ₹75,000 INR
I need a skilled data scraper to collect information from the official websites of the world's top 4000 universities. The project involves gathering:
- Basic information: university name, location, and contact details
- All courses offered by each university
- Available scholarships by each university
The scraped data must be delivered in a provided Excel template, alongside the Python code used for the scraping. The code should be compatible with Google Colab or Github.
Responsibilities:
- Use official website of universities and develop web scraping scripts to collect information about universities and all the courses and scholarships they offer and other relevant data as per the information required in the provided excel template.
- Extract data in accordance with our specified requirements and format it into our shared Excel template.
- Ensure data accuracy and completeness before submission.
- Share the scraping code via GitHub or Google Colab for review.
- Make necessary revisions based on feedback to ensure correct data capture.
Performance-Based Stipend Structure:
Quality Assurance:
- Payment will be made after successfully running the code and verifying that all required information is extracted correctly.
Please note: The data should be well-organized and cleaned before delivery.
- Basic information: university name, location, and contact details
- All courses offered by each university
- Available scholarships by each university
The scraped data must be delivered in a provided Excel template, alongside the Python code used for the scraping. The code should be compatible with Google Colab or Github.
Responsibilities:
- Use official website of universities and develop web scraping scripts to collect information about universities and all the courses and scholarships they offer and other relevant data as per the information required in the provided excel template.
- Extract data in accordance with our specified requirements and format it into our shared Excel template.
- Ensure data accuracy and completeness before submission.
- Share the scraping code via GitHub or Google Colab for review.
- Make necessary revisions based on feedback to ensure correct data capture.
Performance-Based Stipend Structure:
Quality Assurance:
- Payment will be made after successfully running the code and verifying that all required information is extracted correctly.
Please note: The data should be well-organized and cleaned before delivery.