MENU & CATALOG INTELLIGENCE

Rivals reprice by city.
See how.

"Rivals re-price city by city. Our menu is identical everywhere."

// THE SHORT ANSWER

Menu and catalog intelligence tracks competitor menus, dish-level prices, availability, combos and ratings across food-delivery platforms and cities — revealing how chains actually price location by location. iWeb Data Scraping delivers this as a feed restaurant revenue teams use to re-price weekly instead of quarterly, benchmarked dish-to-dish against named rivals. One chain lifted revenue 11% on re-priced items after seeing city-by-city competitor pricing across 2,000+ outlets.

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Key facts

  • 11% — revenue lift on re-priced items
  • 2,000+ — outlets monitored per engagement
  • City-level — dish pricing, benchmarked

Food-delivery pricing is hyperlocal and dynamic — competitors set different prices, combos and delivery fees by city and even by outlet, testing constantly. A chain that prices its menu identically everywhere is leaving money on the table in premium zones and losing volume in price-sensitive ones, with no visibility into either. Menu intelligence makes competitor pricing legible.

We track dish-level menus, prices, availability and ratings across the platforms and cities you compete in, benchmarked against named rival chains — so your revenue team sees exactly how competitors price by location and re-prices on evidence. It runs on our managed scraping and app extraction pipelines.

THE POINT

The gap isn’t knowing this matters — it’s seeing it in time to act. That’s what the feed is for.

11%revenue lift on re-priced items
2,000+outlets monitored per engagement
City-leveldish pricing, benchmarked
WHAT YOU GET

Every dish, priced
by every rival, by city.

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Dish-level pricing

Every item's price, not just an average — so you see exactly where a rival is cheaper or premium.

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City & outlet granularity

Pricing captured by city and outlet, revealing the hyperlocal strategy chains actually run.

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Combo & offer tracking

Bundles, combos, delivery fees and promo mechanics — the full price a customer actually pays.

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Availability & timing

Which items are available when, and how menus shift across dayparts and demand.

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Ratings & review context

Dish and outlet ratings alongside pricing — what rivals charge for what customers rate.

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Named-competitor benchmarks

Dish-to-dish comparison against the rival chains you name, per city.

SEE THE DATA FIRST

What you'll actually receive.

Real sample structure from this feed. Your free 48-hour sample comes in your category, in this shape — CSV, JSON or straight to your warehouse.

Competitor menu feed — dish-level, by city, benchmarked.
dish chain city price combo rating captured_at
Margherita Pizza RivalPizza Mumbai 299 +₹99 combo 4.3 2026-07-08
Margherita Pizza RivalPizza Pune 279 +₹79 combo 4.2 2026-07-08
Margherita Pizza YourBrand Mumbai 319 none 4.4 2026-07-08
Farmhouse Pizza RivalPizza Mumbai 449 +₹120 combo 4.5 2026-07-08
↑ Sample structure — illustrative values. Your data reflects your platforms and category. Get this for your data →
HOW IT WORKS

From question to answer.

STEP 1

Define menu & rivals

We map your dishes, the competitor chains, and the cities and platforms to track.

STEP 2

Capture city by city

Menus, prices, combos and ratings captured per city and outlet on your schedule.

STEP 3

Deliver the re-pricing view

City-level competitor pricing benchmarked dish-to-dish, ready for weekly revenue decisions.

WHY BUY VS BUILD

The details in the feed.

FIELDS Dish name, price, combo, delivery fee, availability, rating, outlet, city, timestamp
GRANULARITY Per dish · per outlet · per city
BENCHMARK Dish-to-dish vs named competitor chains
REFRESH Daily standard; intraday for demand-based pricing
DELIVERY Revenue-team feed or report; CSV/API/warehouse
RELATED:Mobile App Scraping →Food Data Scraping →Case study: 2,000 outlets →
FAQ

Before the first call.

Menu intelligence tracks competitor restaurant menus at dish level — prices, combos, delivery fees, availability and ratings — across food-delivery platforms and cities. It reveals how chains price location by location, so your revenue team can re-price on evidence rather than pricing one national menu that's wrong in most cities.

Because food-delivery chains price hyperlocally — different prices, combos and fees by city and outlet, tested continuously. A single national menu is overpriced in some zones and underpriced in others simultaneously. City-level competitor data shows where you have room to raise prices and where you need to defend volume.

Engagements commonly cover thousands of outlets across every city of operation — one covered 2,000+ outlets. Coverage scales with the platforms, cities and competitor chains you name; we scope it to where your revenue is actually decided.

Most chains move from quarterly to weekly re-pricing once they have current, city-level competitor data, because the evidence removes the guesswork that made frequent changes risky. One chain lifted revenue 11% on the items it re-priced after gaining this visibility.

Get a free sample dataset in 48 hours.