Food Data Scraping Services in India
                     Food data scraping 
services, built for India's 
delivery economy
Food Industry Overview in India
Restaurant listings, live menus, pricing, offers, reviews 
and outlet locations pulled from every major Indian food 
platform structured, deduplicated, and delivered on a 
schedule you set.
India's food services market is one of the fastest-digitising 
in the world and one of the messiest to track manually. 
Here's the landscape our pipelines are built for.
Between two dominant aggregators, a growing quick-
commerce food layer, direct QSR apps, and thousands of 
independent cloud kitchens, restaurant data in India 
changes constantly new outlets launch weekly, menus get 
re-priced by daypart, and offers rotate daily. Manual 
tracking simply cannot keep pace across this scale, which 
is why data teams, QSR chains, and market researchers 
turn to structured scraping pipelines instead of 
spreadsheets.
Our Food Data Scraping Services
End-to-end coverage of the food data stack from raw 
extraction to analytics-ready delivery.
Restaurant Data Extraction
Names, cuisines, addresses, timings, and status across 
every listing platform in a city.
Menu Data Scraping
Item-level menus with variants, add-ons, combos, and 
category structure, refreshed on schedule.
Pricing & Offer Monitoring
Base price, surge price, discounts, and coupon tracking 
across dayparts and platforms.
Reviews & Ratings Extraction
Star ratings, review text, sentiment tags, and rating trend 
history per outlet.
Delivery & Order Intelligence
Delivery time bands, minimum order value, delivery fee 
slabs, and serviceability zones.
Location & Outlet Mapping
Geo-coordinates, outlet counts, dark-store footprint, and 
locality-level density mapping.
Leading Food Delivery Platforms We Scrape
Aggregators, quick-commerce food layers, and direct-to-app 
QSR ordering systems.
Coverage is built and maintained per client requirement, in 
line with each platform's public data and applicable terms of 
use.
Restaurant Data Extraction
A complete, deduplicated restaurant master list per city the 
foundation layer every downstream analysis depends on.
• Outlet name, brand, cuisine tags, and price band
• Operating hours and live/inactive status
• Cross-platform ID matching to remove duplicates
Menu Data Scraping
Item-level menu capture including variants and combos, so 
pricing and catalogue teams work from the same source of 
truth.
• Item name, description, category, and sub-category
• Variants, portion sizes, and add-on groups
• Veg/non-veg tags and item availability flags
Food Pricing & Offer Monitoring
Track how prices and discounts move across platforms 
and dayparts, down to the coupon level.
• Base price vs. platform surge/peak-hour price
• Active coupons, flat-off and percentage-off offers
• Historical price change logs for trend analysis
Restaurant Reviews & Ratings Data Extraction
Structured review capture with rating history, so you can 
spot quality drift before it shows up in churn.
• Overall rating and delivery-experience sub-ratings
• Review text with date and reviewer tier
• Rating trend tracked over rolling 30/90-day windows
Food Delivery & Order Intelligence
Understand serviceability and delivery economics at the 
outlet and locality level.
• Estimated delivery time bands by locality
• Minimum order value and delivery fee slabs
• Serviceable radius and dark-store assignment
Restaurant Location & Outlet Data
Geo-tagged outlet data for footprint mapping, whitespace 
analysis, and competitor density studies.
• Latitude/longitude and full postal address
• Outlet type: dine-in, delivery-only, cloud kitchen
• Brand-wise outlet counts per city and locality
Food Data Fields We Extract
A standard field set that most engagements start from 
extended per client on request.
Sample Restaurant Dataset
A preview of the raw fields our crawlers pull from food 
delivery platforms across Indian cities this is a 10-row 
sample from a live dataset refreshed daily.
🇮🇮 Sample records live India food data API returns full datasets with 
all scraped fields across 210 cities
Food Industry Use Cases
How teams put this data to work once it lands in their warehouse.
Competitive price benchmarking
Compare pricing across your outlets vs. competing brands, locality by 
locality.
Cloud kitchen site selection
Identify underserved localities using outlet density and delivery-time 
data.
Dynamic menu optimisation
Spot high-performing items and pricing gaps across your catalogue.
Aggregator commission analysis
Reconcile listed prices against payouts across platforms.
Brand reputation monitoring
Track rating drift and review sentiment across outlets in near real 
time.
Market-entry research
Size a city's food delivery market before committing to expansion.
Industries We Serve
QSR & Restaurant Chains
Cloud Kitchen Operators
Food Delivery Aggregators
FMCG & Packaged Food Brands
Investors & PE / VC Analysts
Pricing & Revenue Teams
Consulting & Advisory Firms
Benefits of Food Data Scraping
What structured, always-fresh food data actually changes for 
your team.
Faster decisions
Skip manual audits pricing and menu changes land in your 
pipeline within hours.
City-wide coverage
See every outlet in a market, not just the ones your team can 
manually check.
Historical trendlines
Price, rating, and offer history that spreadsheets can't reconstruct 
after the fact.
Clean, deduped data
One restaurant record per outlet, matched across platforms no 
duplicate noise.
Analyst hours saved
Redeploy research time from data collection to actual analysis 
and strategy.
API-ready delivery
Plug data directly into your BI tools, dashboards, or internal 
systems.
Our Food Data Collection Process
Modelled on the same principle Mumbai's dabbawalas use to route 
thousands of tiffins daily a coded, repeatable system that scales 
without dropping a single record.
Scope & target mapping
We confirm platforms, cities, and the exact field set your use case 
needs.
Pipeline build
Custom crawlers and parsers are built per platform, respecting each 
site's structure and terms.
Scheduled extraction
Data is pulled on the cadence you need hourly, daily, or weekly.
Cleaning & deduplication
Records are normalised, cross-platform matched, and validated 
before delivery.
QA & anomaly checks
Automated checks flag missing fields, price outliers, and broken 
listings.
Delivery & handoff
Final data lands in your chosen format or API endpoint, on schedule.
Data Delivery Formats & API Integration
Take the data however your stack consumes it.
CSV / Excel
Ready for spreadsheets and BI tools.
JSON
Nested, structured records for apps.
REST API
Query live data on demand.
Database push
Direct delivery into your warehouse.
Cities Covered Across India
Metro-first coverage that extends into tier-2 and tier-3 
markets as delivery platforms grow.
Source:
https://www.webdatacrawler.com/food-data-scraping-servi
ces-india.php
https://www.webdatacrawler.com
[email protected]
+1 424 3777584