Compare beverage segments
Research pricing within coffee, blended and energy-drink categories rather than flattening the whole menu into one price list.

RESTAURANT INTELLIGENCE / MANAGED DATA
A clearer view of the beverage market.
We collect Dutch Bros menu items, categories, drink sizes and shop-level prices. Keep beverage variety and local context together in a structured data feed.
FROM MENU DETAIL TO MARKET INSIGHT
Our Dutch Bros work includes menu and pricing records served through mobile-app traffic. Source-specific app-interface analysis keeps the menu hierarchy, product identity and shop location together. Access and coverage are reviewed for each new project.
Research pricing within coffee, blended and energy-drink categories rather than flattening the whole menu into one price list.
Follow observed additions, naming changes and seasonal categories across an agreed set of shops.
Keep small, medium and large offers separate when comparing local price positioning.
WHAT WE COLLECT
Choose the Dutch Bros data points your research needs. Each observation retains its source and location context; the final fields are agreed around your workflow.
Brand, menu item and source product identifiers, kept together for repeat observations.
brand_nameitem_iditem_namePublished category paths that keep the menu organized. The available depth depends on the source.
categorysubcategoryOriginal size labels and format context, so distinct portions and offers stay separate.
size_labelObserved product prices associated with their restaurant and size, rather than an assumed national price.
priceStore identifiers, addresses and geographic coordinates for location-level comparison and mapping.
store_idstore_numberaddresscitystatepostal_codecountrylatitudelongitudeOrdering channel and collection time, retained so repeated observations can be interpreted correctly.
channelobserved_atRepresentative delivery field names, not a fixed API response. Availability varies by source, location and collection scope.
Define your schemaCONTEXT IS PART OF THE DATA
Preserve the drink category, preparation and size before matching offers. A blended drink and an iced coffee are different products, even when they share a flavor.
BUILT AROUND YOUR RESEARCH BRIEF
We handle the source-specific collection and prepare data for your workflow. Scope, validation and delivery come before a scale commitment.
Agree brands, locations, fields and refresh frequency. Define the ordering channel, market and any collection-window requirements.
Check representative records, price context, identifiers and missing fields. Agree matching rules and how collection issues are reported.
Receive an agreed CSV, JSON or Parquet feed, or a scoped API integration, with monitoring and maintenance defined for the project.
Our self-service Scraping API collects accessible public content with optional AI analysis. It does not bypass CAPTCHA or login, or automatically return these restaurant datasets.
BEFORE YOU BUILD ON THE DATA
We retain the categories and product names published with each observation. You can track the source classification over time or agree a separate taxonomy for consistent long-term research.
No. An item may be absent because of local assortment, time, availability or a collection issue. Discontinuation requires additional evidence; the feed records what was observed.
Not necessarily. We preserve the observed menu price and its location and channel. Taxes, service fees, delivery fees, coupons and checkout totals are different fields and require a separately agreed scope. Currency and price units are confirmed in the delivery schema.
We scope the brands, markets, locations, data streams and collection frequency together. After validating a sample, we agree the schema, delivery method and recurring price. A wider store set or more frequent collection changes the work involved.
We agree freshness and completeness checks for the feed. Failed or incomplete collection is reported separately from a genuine menu change. Missing values are not silently turned into zero prices, closed restaurants or discontinued products.
Yes. We can scope CSV, JSON or Parquet delivery, or a project-specific API integration. We agree field names, identifiers, timestamp conventions and missing-value handling before delivery. This managed dataset is separate from the self-service Scraping API.
YOUR MARKET. YOUR DATA REQUIREMENTS.
Share the brands, locations and fields you need. We will review access and scope a sample before agreeing delivery.
Projects are accepted individually, subject to feasibility and available capacity. An enquiry does not reserve a solution or confirm delivery. Pricing and terms are agreed directly with our team.
A real person reviews your brief and follows up about scope and delivery.
ScrapingBuddy is an independent data service, not affiliated with or endorsed by Dutch Bros. Access, coverage and delivery commitments are agreed per project.
Product imagery: Dutch Bros official website. Imagery does not represent a collected record.