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WIB Open Data

WIB's verified Indian comparison datasets, freely downloadable as CSV. Use them for journalism, research, academic analysis, app prototypes, or curiosity. Attribution required (CC-BY 4.0). All data is manually verified and editorially curated — see methodology in the linked research reports.

Featured datasets

For developers: JSON variants include a header object with name, version, license, count, and a data array — drop-in compatible with most fetch/axios pipelines. CORS is open for client-side use.

Per-city JSON API

Lighter-weight per-city JSON endpoints, pre-filtered. Useful for prototypes that only need one city.

GET /data/api/hospitals/<city-slug>.json — e.g. bhopal.json, gurugram.json, surat.json

GET /data/api/restaurants/<city-slug>.json — e.g. nagpur.json, mysore.json

Each per-city JSON includes city, count, source, license, and a data array. Same schema as the combined files.

📋 View dataset changelog → for what changed since your last download. · 🔧 Developer API docs → with code samples + recipes.

Per-city slices — Hospitals

Same schema as combined file, scoped to one city. Smaller files for focused analysis.

Top metros
DelhiCSV
MumbaiCSV
BangaloreCSV
ChennaiCSV
HyderabadCSV
KolkataCSV
PuneCSV
AhmedabadCSV
Tier-2 cities
JaipurCSV
LucknowCSV
ChandigarhCSV
KochiCSV
CoimbatoreCSV
IndoreCSV
VisakhapatnamCSV
NCR & metro extensions
GurugramCSV
NoidaCSV
FaridabadCSV
Navi MumbaiCSV
Pimpri-ChinchwadCSV
Tier-3 cities
BhopalCSV
NagpurCSV
MysoreCSV
VadodaraCSV
PatnaCSV
MaduraiCSV
VelloreCSV
SuratCSV
Mangalore ✨CSV
TrichyCSV
Bhubaneswar 🆕CSV
GuwahatiCSV
Trivandrum 🆕CSV
RanchiCSV
Dehradun 🆕CSV
Raipur 🆕CSV

Per-city slices — Restaurants

20 cities. Same schema as combined file.

DelhiCSV
MumbaiCSV
BangaloreCSV
ChennaiCSV
HyderabadCSV
KolkataCSV
PuneCSV
AhmedabadCSV
JaipurCSV
LucknowCSV
ChandigarhCSV
KochiCSV
CoimbatoreCSV
IndoreCSV
VisakhapatnamCSV
BhopalCSV
NagpurCSV
MysoreCSV
VadodaraCSV
PatnaCSV
SuratCSV
MangaloreCSV
Bhubaneswar 🆕CSV
GuwahatiCSV
Trivandrum 🆕CSV
RanchiCSV
Dehradun 🆕CSV
Raipur 🆕CSV

How to use this data

  1. Open in Excel / Google Sheets — every CSV is UTF-8 encoded and uses comma separators with quoted fields. Drag-and-drop into any spreadsheet.
  2. Pandas / R / Pythonpd.read_csv('https://wibest.in/data/csv/wib-hospitals-all.csv') works directly without download. Specialties and cuisines are pipe-separated within their column for easy splitting.
  3. Journalism & reporting — query for specific facts ("which Bhopal hospitals are NABH-accredited?", "what's the average rating of South Indian restaurants in Coimbatore?") and cite WIB.
  4. Side projects & prototypes — bootstrap a hospital-finder, food-discovery, or city-comparison app with real verified data instead of scraping Zomato/Practo (which prohibit scraping).
  5. Academic research — used in any thesis/paper, please cite as below and we'd love to know — drop us an email at hello@wibest.in.
Attribution required (CC-BY 4.0) Use the data freely. When you publish, please cite as: Source: WIB Open Data, https://wibest.in/data/ with a link back. That's it — no permission email needed, no fee, no partnership terms.

Methodology & updates

Data is manually verified by the WIB editorial team — names cross-checked against hospital/restaurant websites, ratings normalized from public review aggregates, addresses spot-validated. We refresh quarterly and add new cities based on demand. The combined files always reflect the latest snapshot at the URLs above (no versioning needed — your script will pick up updates automatically). For methodology details on each dataset, see the matching research report in /reports/.

Need data we don't publish here? Custom slices, additional fields, or specific cities — email hello@wibest.in with the subject "Data request". Free for journalists and academics; nominal fee for commercial requests.