MN
Menu data
Restaurant menus, items, modifiers, cuisines, descriptions and public promotions.
Food delivery & grocery intelligence
AI-powered food delivery & grocery data scraping
Turn public restaurant, menu and grocery data into structured intelligence for local pricing, assortment, availability and market analysis.
Food delivery and grocery markets move at a local level. We build workflows that collect publicly available menus, catalog, pricing, delivery and review signals so teams can compare the locations, categories and competitors that matter.
From public pages to useful data
What is food delivery & grocery data scraping?
Food delivery and grocery markets move at a local level. We build workflows that collect publicly available menus, catalog, pricing, delivery and review signals so teams can compare the locations, categories and competitors that matter.
Cigma combines tailored extraction logic with AI-assisted mapping and validation where appropriate. The objective is a dependable dataset that fits your research, commercial or operational workflow—not an unstructured collection of raw pages.
Data we extract
Build the dataset your team actually needs
Every project starts with a field map. We collect only publicly available information that is relevant to your use case, then normalize it into an agreed structure.
GP
Grocery data
Product names, brands, categories, pack sizes, prices, offers and public availability.
PR
Price data
Menu, item, grocery, offer and delivery-fee information where publicly exposed.
DV
Delivery data
Delivery coverage, public estimated times, fees and service-area signals.
AV
Availability data
Restaurant, menu-item and grocery stock or availability signals where public.
RV
Review data
Public ratings, review counts and feedback themes for restaurants and grocery services.
From data to decisions
Food Delivery & Grocery intelligence use cases
The same public data can answer different business questions. We define collection and output around the decisions your team needs to make.
LI
Local intelligence
Map restaurants, grocery assortment and delivery coverage by neighborhood or city.
PI
Price intelligence
Compare public menu, grocery and promotion prices across relevant sources.
AS
Assortment analysis
Understand menu range, grocery catalog coverage and category changes.
CM
Competitive monitoring
Track offers, delivery fees, locations and visible competitor activity.
RI
Review intelligence
Identify public customer feedback themes and experience issues.
DM
Demand research
Build location and category datasets to support market strategy.
AI-powered extraction
A more structured route from page to dataset
AI can help identify page context, map relevant values to defined fields and validate records against agreed rules. We use it as part of a practical workflow—not as an unsupported promise of fully autonomous collection.
- Understand the source and required field structure
- Extract relevant publicly available information
- Validate, normalize and remove duplicates where required
- Structure records to match your agreed schema
- Deliver data in the format and frequency you need
Public web sources
Custom workflows for the sources you need
We assess public delivery platforms, restaurant sites, grocery storefronts and location pages based on the categories, geography and fields your team needs.
We do not claim support for a source until the required workflow has been assessed.
Who uses this data
Useful across specialist teams
- Restaurant and food-service brands
- Grocery and retail operators
- Delivery and marketplace platforms
- Consumer packaged-goods teams
- Market research and consulting firms
- Location and product intelligence platforms
Flexible delivery
Get data in the format you need
Your delivery method should fit the people and systems using the data. We can prepare structured outputs for one-time or scheduled delivery.
- CSV, Excel, JSON and XML files
- API or database-ready delivery
- Cloud storage and custom data feeds
- One-time datasets or scheduled updates
- Field normalization based on your schema
How Cigma works
A transparent data workflow
01
Define requirements
Share the public sources, fields, geography and update frequency that matter to your team.
02
Design the workflow
We assess source feasibility and configure an extraction and data-structure approach.
03
Extract and validate
Public information is collected, normalized and checked against the agreed data rules.
04
Deliver the dataset
Receive a sample or feed in the agreed format so your team can begin using the information.
05
Monitor and update
For recurring needs, the workflow can be maintained and run on an agreed schedule.
06
Refine as you learn
Add or refine fields as your commercial, research or product questions evolve.
Explore more data intelligence
Related AI-powered web scraping solutions
Explore the AI-powered web scraping service hub or review other industry data solutions: E-commerce, Travel & Tourism, Entertainment, Finance, Jobs & Recruitment, News & Media, Real Estate.
Frequently asked questions
Food Delivery & Grocery data scraping FAQs
What is food delivery data scraping?
It is the structured collection of publicly available restaurant, menu, grocery, delivery and review information.
Can Cigma collect menu and grocery prices?
Yes, where public sources expose them. Required fields are confirmed during source and feasibility review.
Can delivery data be organized by location?
Yes. A workflow can be scoped around cities, neighborhoods, service areas and target locations.
How is data delivered?
We can prepare agreed datasets for CSV, Excel, JSON, XML, API, database or cloud-storage delivery.
Is public web data collection legal?
Each project should be assessed individually. We focus on publicly available information while considering applicable laws, privacy requirements, contractual restrictions and website terms.
How do we get started?
Share the public sources, fields, geography and refresh frequency you need. We will help define a practical scope.