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I will build a searchable data portal for your business dataset


About this gig
Do you have business data, CSV files, a database, API feeds or internal records that are difficult to search, filter or understand?
I will build a searchable web data portal that turns your raw data into a clear and usable platform.
Your users will be able to search records, apply filters, open detail pages, view KPI cards and navigate your data from a clean dashboard.
This is useful for:
- business directories
- supplier databases
- tender or procurement data
- real estate listings
- product catalogs
- research databases
- public datasets
- internal company archives
- market intelligence platforms
What I can build:
- searchable record listing
- filters and sorting
- detail pages
- KPI cards and summary metrics
- category, location or entity pages
- database structure
- API connection
- CSV or database import
- basic admin area
- responsive frontend
- deployment setup
I can work with CSV files, databases, APIs, Supabase/Postgres, external feeds or existing datasets.
Technical stack available:
React, TypeScript, Supabase/Postgres, Cloudflare Workers, Vercel, SQL and serverless APIs.
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Get to know Francesco V
- FromUnited Kingdom
- Member sinceDec 2025
Languages
English, Italian
FAQ
Can you work with my existing data?
Yes. I can work with CSV files, databases, APIs, Supabase/Postgres, Airtable exports or existing datasets. Please send a sample before ordering so I can check the structure.
Can you build both frontend and backend?
Yes. I can build the user interface, database structure, API layer, search logic, filters and deployment setup depending on the selected package.
Is this only for public data?
No. The portal can be public or private. It can be used for business data, internal archives, directories, catalogs, tenders, suppliers, real estate or research datasets.
Can you add login or an admin area?
Yes. Login, roles and an admin area can be added depending on the package or as an extra service.
Can you clean or organize messy data?
Yes, but it depends on the size and condition of the data. Data cleaning, normalization or import work should be reviewed before the order starts.

