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Restaurant Opening Hours Intelligence for
Food Delivery Leaders

Restaurant Opening Hours Intelligence reveals exactly when venues are accepting orders across competing platforms. Supply strategy teams leverage this structured data to pinpoint unserved dayparts and secure exclusive late-night partnerships before rivals.

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Trusted by Fortune 500.

Get real-time data from all food platforms.

Without this data

Your team bleeds GMV to competitors during critical off-peak hours.

Operating blindly regarding when restaurants actually accept orders leads to missed revenue windows. Strategy teams fail to optimize supply while rivals dominate early morning and late-night demand.

Strategic
Flawed supply expansion strategy
Network planners misallocate acquisition budgets toward saturated lunch periods. They ignore lucrative late-night gaps where competitors maintain a monopoly on open venues.
Operational
Manual verification wastes hours
Account managers spend hours every week calling partners to confirm schedule changes. Data teams constantly manually overwrite system hours to fix rejected order spikes.
Business
Lost revenue in fringe hours
Platforms bleed high-margin orders during breakfast and late-night windows. Competitors capture these high-value baskets because their restaurant network is actually active.
Intelligence
Delayed board-level reporting
Executives wait weeks for stale market share reports on daypart performance. Leadership lacks the agility to counter sudden competitor shifts in weekend operating hours.
Sample signal

What an opening hours record looks like

This structured output provides an immediate, cross-platform view of a venue's active schedule. Supply teams use it instantly via REST API to flag discrepancies and target newly extended competitor shifts.

Venue Platform Operating Hours Coverage Status Rating Last Observed
Burger King - Alexanderplatz Wolt 10:00 - 02:00 Extended Hours 4.5 / 5 today 06:12
Five Guys - Covent Garden Deliveroo 11:00 - 22:00 Late Night Gap 4.8 / 5 today 09:41
Starbucks - Shinjuku Uber Eats 09:00 - 20:00 Breakfast Gap 4.1 / 5 yesterday
Nando's - Southwark Just Eat 11:30 - 22:30 Parity Matched 4.6 / 5 today 11:05
KFC - Montmartre Glovo 10:30 - 23:00 Offline Early 3.9 / 5 2 days ago
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What you get

Your team commands total daypart visibility

FoodDataLab delivers continuous schedule updates across the entire restaurant network. Account teams use these structured insights to drive partner compliance and expand profitable delivery windows.

12 platforms
Monitored networks
Compare precise daily schedules across twelve top food delivery networks.
50+ cities
Urban markets seen
Monitor morning and night venue availability across fifty key urban markets.
<24h latency
Data refresh speed
Receive scheduled data exports reflecting shift changes in under one day.
100K+ venues
Schedule variables
Evaluate exact opening and closing time variations for every tracked venue.

What food delivery providers want to understand with data

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FoodDataLab use cases across food delivery departments

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Why in-house food delivery data scraping costs more than you think

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How our data serves pricing and marketing teams worldwide

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Why comparing food delivery platform pricing is so hard?

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Business impact

Turn unserved hours into immediate market share

Transforming raw schedule data into strategic deployments drives immediate GMV growth. Category teams capitalize on empty windows to establish absolute daypart dominance.

Seize fringe hours
Identify when competitors go offline and deploy targeted campaigns to active venues. This captures neglected late-night baskets and boosts GMV.
Grow weekend share
Pinpoint early morning gaps where rivals lack sufficient active restaurant coverage. Your platform launches breakfast delivery before they react.
Enforce SLA parity
Detect when chain partners restrict your platform hours while remaining open elsewhere. Account executives use this proof to demand equal access.
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How it works

From raw scheduling signals to actionable insights

FoodDataLab executes a rigorous pipeline to capture, normalize, and deliver venue operating schedules. Strategy teams receive clean, structured data ready for immediate analysis.

1

Extract

We continuously pull publicly available opening and closing times from Uber Eats, DoorDash, and Glovo. This ensures your view reflects the exact hours advertised to consumers across different dayparts.
2

Normalize

Raw schedule formats and holiday variations are matched and mapped to a unified time structure. Your analysts never have to write custom scripts to reconcile messy temporal data from restaurant websites or Google Maps.
3

Deliver

The structured schedule records flow directly into your stack via REST API or interactive Power BI dashboards. Supply teams immediately visualize coverage gaps without waiting on internal engineering requests.
FAQ

Questions we get from supply leaders like you

Executive-level clarity on how we track venue schedules at scale.

Identify your next profitable delivery window

Request a sample dataset detailing cross-platform schedule disparities in your primary market. Our analysts provide a secure, tailored evaluation showing exactly where your coverage lags.

  • A dedicated data expert assigned to your case
  • No obligation, free consultation
  • Full support from scoping to delivery

Need an NDA first? Just mention it in the form - we're happy to sign.

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