Scrape Tamilnilam Citta Approval Data
Budget: ₹1,500 – ₹12,500 INR
I need a reliable way to pull every newly approved “citta” record from the Tamilnilam app for the whole of Tamil Nadu and keep it all neatly organised by approval date. The extraction has to capture every field the app exposes—user information, transaction details and any other content data—so I can later analyse trends, combine the feed with other systems and build internal dashboards.
A daily (or on-demand) run that outputs a single Excel/CSV file is ideal; the file must list one row per approval and carry clear column headers. If the app offers an API you can call it directly; if not, headless browser automation or any other stable workaround is fine so long as it runs without manual clicks.
Deliverables
• A script or small application that logs in, navigates, and downloads the full set of new citta approvals statewide, ordered date-wise
• Clean Excel/CSV output (UTF-8) ready for immediate analysis
• Read-me or inline comments explaining setup, credentials, scheduling and how to adjust date ranges
The solution should install easily on Windows or Linux, run error-free, and be written in a language my team can maintain (Python, Node or similar). Once delivered, I will test it against a fresh day’s approvals to confirm that every user, transaction and content field is present and correctly formatted.
A daily (or on-demand) run that outputs a single Excel/CSV file is ideal; the file must list one row per approval and carry clear column headers. If the app offers an API you can call it directly; if not, headless browser automation or any other stable workaround is fine so long as it runs without manual clicks.
Deliverables
• A script or small application that logs in, navigates, and downloads the full set of new citta approvals statewide, ordered date-wise
• Clean Excel/CSV output (UTF-8) ready for immediate analysis
• Read-me or inline comments explaining setup, credentials, scheduling and how to adjust date ranges
The solution should install easily on Windows or Linux, run error-free, and be written in a language my team can maintain (Python, Node or similar). Once delivered, I will test it against a fresh day’s approvals to confirm that every user, transaction and content field is present and correctly formatted.