Food Data Scraping In Singapore, built for the Lion City's delivery economy
Restaurant listings, live menus, pricing, offers, reviews and outlet locations pulled from every major Singapore food platform structured, deduplicated, and delivered on a schedule you set.
Food Industry Overview In Singapore
Singapore's compact, hyper-connected food scene hides a surprising amount of daily change. Hawker stalls, cloud kitchens, and full-service restaurants all update prices and menus on their own clock, which is exactly the landscape our food data scraping in Singapore pipelines are built to track.
With two dominant delivery apps, a fast-growing quick-commerce layer, and thousands of independent hawker stalls and cafes competing for the same order, Singapore's restaurant data shifts constantly new outlets open in heartland malls, menus get re-priced for lunch and dinner sets, and platform-only promotions rotate weekly. Tracking this by hand does not scale, which is why F&B chains, market researchers, and investment teams rely on structured food data scraping in Singapore instead of manual spreadsheets.
Our Food Delivery Data Scraping Singapore Services
End-to-end coverage of Singapore's food data stack from raw extraction to analytics-ready delivery.
Singapore Restaurant Data Extraction
Names, cuisines, addresses, operating hours, and outlet status pulled from every listing platform active in Singapore.
Restaurant Menu Data Collection
Item-level menus with sets, add-ons, portion sizes, and category structure, refreshed on your chosen schedule.
Pricing & Offer Monitoring
Base price, peak-hour surcharges, delivery discounts, and voucher tracking across platforms and meal times.
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 tiers, and serviceable-zone boundaries.
Location & Outlet Mapping
Geo-coordinates, outlet counts, dark-kitchen footprint, and planning-area density mapping.
Leading Food Delivery Platforms We Scrape
Aggregators, quick-commerce food layers, and direct-to-app ordering systems, including the platforms that matter most for restaurant data API scraping Singapore projects.
Coverage is built and maintained per client requirement, in line with each platform's public data and applicable terms of use.
Singapore Restaurant Data Extraction
A complete, deduplicated restaurant master list for Singapore 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
{
"restaurant_id": "WDC-SGP-01847",
"name": "Tian Tian Hainanese Chicken Rice",
"platform": "GrabFood",
"area": "Chinatown",
"postal_district": "D01",
"cuisines": ["Chinese", "Hainanese"],
"avg_cost_for_two": "SGD 12",
"rating": 4.6,
"status": "open",
"last_scraped": "2026-07-10T09:12:00+08:00"
}
Food Price Data Scraping In Singapore
Track how prices and discounts move across platforms and meal periods, down to the voucher level.
- Base price vs. platform peak-hour surcharge
- Active vouchers, flat-off and percentage-off offers
- Historical price change logs for trend analysis
| Item | Platform | Base SGD | Offer |
|---|---|---|---|
| Set Meal Combo | foodpanda | 9.90 | 20% OFF |
| Bento Box | GrabFood | 12.90 | Flat $3 Off |
| Bubble Tea Combo | WhyQ | 6.50 | Buy1Get1 |
| Economy Rice Set | Oddle | 7.50 |
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
{
"restaurant_id": "WDC-SGP-02310",
"rating_overall": 4.3,
"rating_delivery": 4.5,
"review_count_30d": 218,
"rating_trend_90d": "+0.1",
"top_tags": ["fast delivery", "great value"]
}
Food Delivery Data Collection Singapore
Understand serviceability and delivery economics at the outlet and planning-area level.
- Estimated delivery time bands by planning area
- Minimum order value and delivery fee tiers
- Serviceable radius and dark-kitchen assignment
| Locality | ETA | Min Order | Fee SGD |
|---|---|---|---|
| Tampines | 20–28 min | $10 | 2.50 |
| Jurong East | 25–32 min | $12 | 3.00 |
| Bishan | 18–24 min | $8 | 2.00 |
Restaurant Location & Outlet Data
Geo-tagged outlet data for footprint mapping, whitespace analysis, and competitor density studies across Singapore.
- Latitude/longitude and full postal address
- Outlet type: dine-in, delivery-only, cloud kitchen
- Brand-wise outlet counts per planning area
| Brand | Area | Outlets | Type |
|---|---|---|---|
| Old Chang Kee | Islandwide | 60 | Kiosk |
| Toast Box | Islandwide | 45 | Dine-in |
| Grain | Central | 15 | Cloud Kitchen |
Food Data Fields We Extract
A standard field set that most Singapore engagements start from extended per client on request.
Sample Restaurant Dataset For Singapore
A preview of the raw fields our crawlers pull when we scrape food datasets for Singapore across every major delivery platform this is a 10-row sample from a live dataset refreshed daily.
| # | Restaurant | Cuisine | Area District | Rating | Diet | Platforms | Price for two | Hours | Updated |
|---|---|---|---|---|---|---|---|---|---|
| 01 | Tian Tian Hainanese Chicken Rice | Hainanese | Chinatown D01 | ★ 4.6 | Halal | GRBFDP | SGD 10 | 10am–8pm | 2026-07-10 05:40 |
| 02 | Jumbo Seafood | Seafood | Riverside Point D06 | ★ 4.5 | Non-Halal | GRBFDPWHY | SGD 150 | 12pm–11pm | 2026-07-10 05:55 |
| 03 | Din Tai Fung | Taiwanese | Orchard D09 | ★ 4.4 | Non-Halal | GRBFDP | SGD 60 | 11am–10pm | 2026-07-10 06:02 |
| 04 | Ya Kun Kaya Toast | Local Breakfast | Raffles Place D01 | ★ 4.3 | Halal | GRBFDP | SGD 8 | 7am–5pm | 2026-07-10 05:48 |
| 05 | Killiney Kopitiam | Kopitiam | Killiney Road D09 | ★ 4.4 | Halal | GRB | SGD 10 | 6am–11pm | 2026-07-10 06:07 |
| 06 | Crystal Jade | Chinese | Paragon D09 | ★ 4.5 | Non-Halal | GRBFDPWHY | SGD 50 | 11am–10pm | 2026-07-10 05:33 |
| 07 | PUTIEN | Fujian | Kitchener Road D08 | ★ 4.5 | Non-Halal | GRBFDP | SGD 45 | 11am–10pm | 2026-07-10 06:15 |
| 08 | Swee Choon Tim Sum | Dim Sum | Jalan Besar D08 | ★ 4.6 | Non-Halal | GRBFDPWHY | SGD 35 | 24 hours | 2026-07-10 05:59 |
| 09 | Old Chang Kee | Snacks | Toa Payoh D12 | ★ 4.2 | Halal | GRB | SGD 6 | 5pm–11pm | 2026-07-10 05:21 |
| 10 | The Coconut Club | Nasi Lemak | Ann Siang Hill D01 | ★ 4.3 | Halal | GRBFDP | SGD 16 | 11am–9pm | 2026-07-10 06:20 |
🇸🇬 Sample records live Singapore food data API returns full datasets with all scraped fields across 28 postal districts
Access Full Dataset →Food Industry Use Cases In Singapore
How teams put this data to work once it lands in their warehouse.
Competitive Price Benchmarking
Compare pricing across your outlets vs. competing brands, planning area by planning area.
Cloud Kitchen Site Selection
Identify underserved neighbourhoods 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 Singapore's food delivery market before committing to expansion.
Industries We Serve
QSR & Restaurant Chains
Cloud Kitchen Operators
Food Delivery Aggregators
F&B & Packaged Food Brands
Market Research Firms
Investors & PE / VC Analysts
Pricing & Revenue Teams
Consulting & Advisory Firms
Benefits Of Food Data Scraping In Singapore
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.
Islandwide Coverage
See every outlet across Singapore, 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
Built with the same precision Singapore's logistics and supply chains are known for a coded, repeatable system that scales without dropping a single record.
Scope & Target Mapping
We confirm platforms, planning areas, 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.
{
"count": 2150,
"page": 1,
"results": [ "..." ],
"updated": "2026-07-10T06:00:00+08:00"
}
Regions Covered Across Singapore
Central-first coverage that extends into every heartland town as delivery platforms expand their serviceable zones.
Frequently Asked Questions
We collect publicly available data and structure our pipelines around each platform's public listings, applicable terms of use, and Singapore's Personal Data Protection Act. We recommend clients review their own use case with legal counsel, especially for redistribution.
Refresh cadence is set per engagement commonly hourly for pricing/offers, daily for menus, and weekly for outlet/location data.
Yes we build custom field mapping per client rather than delivering a fixed template. Share your schema and we'll scope accordingly.
CSV, Excel, JSON, direct database push, or REST API access whichever fits your existing stack.
Yes, coverage spans all 28 postal districts, with daily refresh across central, east and west regions and weekly refresh further out, scoped on request based on platform availability.
Fill in the form below with your area and platform of interest we'll share a free structured sample dataset within one business day.
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