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Luckin Coffee iced coffee and fruit drink assortment
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RESTAURANT INTELLIGENCE / MANAGED DATA

Luckin Coffee
menu data.

Local menus for coffee-market research.

We collect Luckin Coffee product names, menu categories, sizes and location-specific prices. Scope a structured feed around the stores and market you want to understand.

Discuss your project Explore data points

FROM MENU DETAIL TO MARKET INSIGHT

Keep market and menu context connected.

A coffee brand can offer different menus in different markets. Our collection keeps the store, country, product and observed price together, so your comparison starts with the right scope.

01

Benchmark local coffee offers

Compare drinks within the agreed store set, keeping size and product identity attached to each amount.

02

Track menu development

Monitor featured categories, new products and changes in the observed food and beverage assortment.

03

Build a location-linked catalogue

Connect menu products to store addresses and geographic coordinates for market-level research.

WHAT WE COLLECT

The menu, the price and the place.

Choose the Luckin Coffee data points your research needs. Each observation retains its source and location context; the final fields are agreed around your workflow.

01

Product identity

Brand, menu item and source product identifiers, kept together for repeat observations.

View field names
  • brand_name
  • item_id
  • item_name
02

Menu categories

Published category paths that keep the menu organized. The available depth depends on the source.

View field names
  • category
  • subcategory
03

Sizes & formats

Original size labels and format context, so distinct portions and offers stay separate.

View field names
  • size_label
04

Local menu prices

Observed product prices associated with their restaurant and size, rather than an assumed national price.

View field names
  • price
05

Restaurant locations

Store identifiers, addresses and geographic coordinates for location-level comparison and mapping.

View field names
  • store_id
  • store_number
  • address
  • city
  • state
  • postal_code
  • country
  • latitude
  • longitude
06

Channel & observation time

Ordering channel and collection time, retained so repeated observations can be interpreted correctly.

View field names
  • channel
  • observed_at

Representative delivery field names, not a fixed API response. Availability varies by source, location and collection scope.

Define your schema

CONTEXT IS PART OF THE DATA

Make like-for-like comparisons.

Market scope comes first. Store-level collection in one country does not imply identical menus, prices or access in another.

Preserve product distinctions
A size, preparation or meal format can change the offer. We preserve original names and labels before agreeing any cross-product mapping.
Keep location and channel attached
A local menu price is not a national price. Direct ordering and delivery-platform observations stay distinguishable.
Separate observation from inference
Missing items are not automatically discontinued. Collection time, source availability and validation results determine how to interpret a change.

BUILT AROUND YOUR RESEARCH BRIEF

From target locations
to a maintained feed.

We handle the source-specific collection and prepare data for your workflow. Scope, validation and delivery come before a scale commitment.

  1. 01 / DEFINE

    Choose your market

    Agree brands, locations, fields and refresh frequency. Define the ordering channel, market and any collection-window requirements.

  2. 02 / VALIDATE

    Review the data together

    Check representative records, price context, identifiers and missing fields. Agree matching rules and how collection issues are reported.

  3. 03 / DELIVER

    Connect your pipeline

    Receive an agreed CSV, JSON or Parquet feed, or a scoped API integration, with monitoring and maintenance defined for the project.

Need content from a few public pages?

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.

Explore Scraping API

BEFORE YOU BUILD ON THE DATA

The details that
shape your feed.

Can this cover more than one country?

Additional markets can be scoped, but access, menu structure, currency and available locations must be validated for each one. We do not extrapolate one market into global coverage.

Are app coupons reflected in the observed price?

A displayed menu price is not necessarily a personalized, first-order or coupon-adjusted checkout price. Promotions and account-specific offers require a separately defined collection scope.

Do displayed prices include taxes, delivery fees and promotions?

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.

How are refresh frequency and project pricing decided?

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.

What happens when a collection fails or a field disappears?

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.

Can the feed connect to our existing data pipeline?

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.

EXTEND YOUR RESTAURANT RESEARCH

YOUR MARKET. YOUR DATA REQUIREMENTS.

Build your
Luckin Coffee
data feed.

Share the brands, locations and fields you need. We will review access and scope a sample before agreeing delivery.

  • Brands, locations and ordering channels
  • Menu, price and other required fields
  • Refresh schedule and delivery format
Talk through your project

Up to 5,000 characters.

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 Luckin Coffee. Access, coverage and delivery commitments are agreed per project.

Product imagery: Luckin Coffee official website. Imagery does not represent a collected record.