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I need a single, well-structured dataset that maps every recognised Indian university to its complete catalogue of undergraduate and postgraduate programmes. For every programme the file must drill down to the individual semester-wise courses and, beneath each course, list the officially prescribed textbooks together with their authors. The scope is nationwide, so private, public, deemed-to-be and open universities from all states and union territories must be represented without omissions. Accuracy is essential: titles, edition numbers and author names should match the latest syllabi published by each university’s academic council or statutory body. Preferred format is a clean spreadsheet or relational database that lets me filter by university, level, discipline and course code. If you have a better technical approach, outline it in your proposal—I’m open to API-ready outputs or scripted web-scraping pipelines, provided citation links accompany every entry so I can verify your sources swiftly. Deliverables • Master file covering every Indian university with separate fields for university type, location, programme level, discipline, course name/code, textbook title, author(s) and edition/year. • Source list (URLs or PDF references) used to compile each university’s curriculum. • Brief read-me explaining data structure and any automated collection scripts. Please send a detailed project proposal that explains your methodology, sample structure and estimated timeline.
Project ID: 40474095
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4 freelancers are bidding on average ₹6,363 INR for this job

This is a large but well defined data project and I have experience building structured academic datasets through a combination of targeted scraping, official PDF extraction, and manual verification against published syllabi. My methodology would be to compile the full list of recognised universities from UGC, AICTE, and state regulatory body registers, then systematically extract programme catalogues and semester wise course structures from each institution's official website or gazette notifications. Textbook data would be sourced from the prescribed reading lists within each course's syllabus document, with author names, editions, and years matched against publisher records where available. Every entry would carry a source URL or PDF reference so you can verify any row independently. The output would be a clean relational spreadsheet filterable by university type, state, programme level, discipline, and course code, with a separate source index and a README covering the data structure and any collection scripts used. I'd propose delivering in verified batches by state grouping so you can begin using the data before the full set is complete. Timeline and methodology can be refined once we've aligned on scope priorities. Prices are negotiable.
₹1,500 INR in 7 days
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Hi, I'm a Python developer with 3+ years experience in web scraping, automation and data processing. I have experience building datasets through web scraping and data collection. I can create a comprehensive, well-structured dataset of Indian university curricula with proper verification. I'll ensure accuracy by including citation links for every entry. I can complete this within your timeframe and budget. Let me know if you'd like to discuss further.
₹7,000 INR in 7 days
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Nellore, India
Member since Aug 2, 2025
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