Food Data Scraping Services

Yes, by collecting per delivery zone using generic location input rather than customer accounts or credentials. This is how several major aggregators work, so it is not an edge case — it is the normal mode of collection in this category.

The practical consequence is volume: one store across twelve zones is twelve times the collection. We scope zones deliberately with you rather than defaulting to blanket coverage, because zone selection is usually where cost is won or lost.

Both, and the modifier tree is preserved as a hierarchy rather than flattened. Option groups arrive with required and exclusive flags, per-option pricing and size or portion tiers.

This matters more than buyers usually expect. For pizza, burrito and build-your-own concepts, modifiers carry much of the margin, and the base price on its own is close to meaningless — a bowl with a mandatory protein choice has no price until that choice is made. We deliver a configured price computed from the required tree alongside the base price.

By making the store the record rather than the brand. Every store carries a stable ID and coordinates, and its pricing history stays continuous across runs.

Within a single chain, the same item routinely varies 15–25% across the estate because franchisees set prices within bands and platform markups differ by market. A brand-level average conceals exactly the outliers a compliance or pricing team needs to see, so we never aggregate before delivery.

We deliver the components — item price, delivery fee by distance band, service fee percentage and cap, small-order fee and promotional waivers — rather than one computed total.

That is deliberate. The correct total depends on basket size, distance, subscription status and promotional eligibility, and any single figure bakes in assumptions you cannot later remove. With components separated you model your own scenarios and change the assumptions without recollecting data.

Platform terms typically restrict automated access, and we are direct about that rather than pretending otherwise. Our position is that we collect only publicly accessible menu and pricing pages, at low request rates, without creating accounts, using customer credentials or placing orders.

We do not claim this eliminates every consideration — it does not, and your counsel should review it. What we provide is a written methodology document per platform describing exactly what we access and how, so that review is possible. Vendors who present this as entirely risk-free are the ones to be careful with.

Yes. Because menus are collected as structured hierarchies with stable store IDs, a new item appearing in a menu section is detected as an event with a first-seen date, per store. Removals are detected the same way.

Launch patterns are informative in this category: chains frequently test items in a handful of markets before national rollout, and store-level collection surfaces those tests weeks or months before any announcement.

Menu prices move on a scale of weeks to months. Fees and promotions move constantly — delivery fees can be dynamic by demand, and promotional offers change daily or intra-day. Availability changes hour to hour as stores pause and items sell out.

We recommend daily for menu and pricing, with an hourly tier for availability and fee monitoring on priority store sets. Full-estate hourly collection is rarely worth its cost, since most of what changes hourly is availability rather than price.

Yes, and for trade-area analysis independents usually matter more than chains, since they are the actual competitive set for most locations. Coverage is broad on aggregators because independents are listed there.

The honest limitation is matching. Independents have inconsistent naming, frequently appear under slightly different names across platforms, and open and close often. We attach match confidence at store level and flag ambiguous cases rather than silently merging two restaurants that may not be the same business.

We quote individually. The dominant cost driver in this category is not store count — it is zones multiplied by refresh frequency, because zone-based collection multiplies volume before any store is added.

A defined competitor set in a handful of cities at daily refresh sits at the lighter end. National multi-platform coverage with zone-level pricing and hourly availability sits considerably higher. The process: one scoping call, a free pilot on your own store list within 48 hours, then a fixed monthly quote with sources and zones added inside the retainer. Request a quote.