What is in a Firecrawl Alexandria restaurant menu dataset?

Every menu dataset is custom. The common fields are one row per menu item, with the restaurant, store, menu section, item name, description, price, currency, size or variant, and the source URL and crawl date. Modifier options, images and published calories are included where the source lists them. We can tweak the fields to your preferences.

Is there a ready-made menu dataset I can download today?

No. Menu datasets are built to your list of brands, stores or regions. Our data team scopes the sources and fields with you and sends a sample before the full build.

Do the datasets include sizes, toppings and other modifiers?

Yes, where the source publishes them. DoorDash items carry their option groups with prices, and chain menus include variants, sizes and toppings per store.

How do you track menu price changes?

A tracking build collects the same stores on a weekly or monthly schedule. Each snapshot is dated, so you can compare prices and spot new or removed items between deliveries.

Can I see a sample before ordering?

Yes. Our data team scopes the sources, fields and volume with you, then sends about 1,000 rows in your schema. The full delivery runs after you approve the sample.

What formats and delivery options are there?

Parquet, JSONL or CSV, as download links or straight into your Amazon S3, Google Cloud Storage or Cloudflare R2 bucket. A dataset can ship once or refresh weekly or monthly.

Can I collect the data myself instead?

Yes. The same Firecrawl Alexandria providers are available through the Firecrawl API with an API key on a team with Alexandria enabled. Each tool lists its credit price before you call it, and the free plan includes 1,000 credits a month.

Restaurant menu datasets

Name: Restaurant menu datasets
Creator: Firecrawl

Menu items and prices,
delivered to your bucket.

Our data team builds restaurant menu datasets to your list of brands and stores. Every item keeps its section, price, size options and the URL it came from.

Request a sample See a sample

Sample restaurant_menus.parquet

illustrative rows

Illustrative menu rows in the delivery schema, with section, item, variant, price, currency and source
item_name	menu_section	variant	price	currency	source_name
Pepperoni pizza	Pizzas	Large	13.09	USD	DoorDash
Chicken wings	Sides	8 pieces	8.99	USD	Chain ordering page
Caesar salad	Salads	Regular	7.49	USD	DoorDash
Garlic bread	Sides		4.99	USD	Chain ordering page
Iced tea	Drinks	Medium	2.79	USD	DoorDash

source_url and crawled_at on every rowPARQUET · JSONL · CSV

Trusted by 150,000+
companies of all sizes

Read story

Read story

Read story

Read story

[ 01 / 08 ]

Datasets

Datasets we build

Menu datasets are custom builds: you name the brands, stores or regions, and we scope the fields and refresh schedule with you.

Delivery app store menus

[ CUSTOM ]

Full DoorDash store menus in the US and Canada, with categories, items, descriptions, prices, images, item ratings and size or topping options. Store hours, cuisines and fees come with each store.

jsonparquetcsv

DoorDash

US and Canada stores · weekly or monthly

Chain menus by store

[ CUSTOM ]

Store-level menus from pizza and quick-service chains, with variants, sizes, toppings and the price at each location.

jsonparquetcsv

Restaurant chain ordering pages

Per store, US and Canada · weekly or monthly

Menu price tracking

[ CUSTOM ]

Repeated snapshots of the same stores, so price changes, new items and removed items show up as dated rows you can compare.

parquetcsv

Any of the sources above

From your first delivery · weekly or monthly

Need something else?

Describe the sources and fields, and our data team builds a custom dataset from Alexandria's data providers, web pages and PDFs.

Request a custom dataset

[ 02 / 08 ]

Sources

Where the data comes from

Every dataset is built from Firecrawl Alexandria and the full Firecrawl search and scrape suite.

[ FIRECRAWL ALEXANDRIA ]

400+

data sources behind one API

Every dataset starts in Firecrawl Alexandria. Our data team picks the right sources for your build.

Explore providers

[ BEYOND ALEXANDRIA ]

...and the full Firecrawl search and scrape suite

Our data team can also build datasets from any public page, PDF or site outside Alexandria with the same API teams use to search, scrape and interact with the web at scale.

/searchFind pages, PDFs and papers by query /scrapeAny page as Markdown or JSON in your schema /parsePDFs, Word files and spreadsheets to JSON /crawlEvery reachable page on a site /mapList every URL on a site /interactClicks, forms and dynamic pages in a real browser /agentA prompt and a schema when sources are unknown /monitorRe-collect only pages that changed

Need a specific source? Tell us what you need and we'll build it as a custom dataset.

Request a custom dataset

[ 03 / 08 ]

Sample

Restaurant menu dataset sample

The common fields, one row per menu item. Every field is customizable to your requirements: add, rename or drop columns when we scope the build.

Request sample access

Fields in the restaurant menu dataset, with an example value for each
name	description	type	example
restaurant_name	Store or restaurant name as listed	string	Corner Pizza Kitchen
brand	Chain or brand, when the store belongs to one	string	Independent
store_id	The source's own store identifier	string	45116
address	Street address, city, region and country	string	1200 Main St, Austin, TX, US
cuisines	Cuisine tags, where the source lists them	string[]	["Pizza", "Italian"]
menu_section	Section or category, in menu order	string	Pizzas
item_name	Menu item name	string	Pepperoni pizza
item_description	Item description text	string	Pepperoni, cheese and pizza sauce on your choice of crust.
price	Listed price for the item or variant	decimal	13.09
currency	ISO currency code, such as USD or CAD	string	USD
variant	Size, crust or portion the price applies to	string	Large
options	Modifier groups and add-ons with their prices, where published	object[]	[{"group": "Crust", "name": "Thin crust", "price": 0}]
calories	Published calories, where the source lists them	string	290 per slice
image_url	Item photo URL	string	https://img.example.com/items/pepperoni.jpg
source_name	Where the row came from	string	DoorDash
source_url	The page or menu the row was read from	string	https://www.doordash.com/store/45116
crawled_at	When the menu was collected	timestamp	2026-11-10T08:00:00Z

Example values are illustrative.

[ 04 / 08 ]

Use cases

What teams build with it

Who orders menu data and what they do with it.

[ 01 ]
Menu price benchmarking
Restaurant brands and pricing teams compare their prices with nearby competitors, store by store, and watch how they move week to week.
[ 02 ]
Food and menu trend research
Foodservice manufacturers, distributors and research firms track which items, ingredients and price points spread across menus.
[ 03 ]
Menu onboarding for ordering platforms
Online ordering and POS platforms import a merchant's menu as structured items and options instead of retyping it.
[ 04 ]
Nutrition and diet apps
Apps that log meals or filter dishes start from menu items, descriptions and published calories for the restaurants their users visit.

[ 05 / 08 ]

Delivery

Delivered your way

Choose the slice, the file format and where it lands. Every row keeps its source URL and crawl date.

[ FILE FORMAT ]

Parquet, JSONL or CSV

parquetjsonlcsv

[ CONTENT ]

Markdown, the original files, or both

markdownhtmlpdfdocx

[ DELIVERY ]

A download link or your own bucket

downloads3gcsr2

[ UPDATES ]

Once, monthly or weekly

oncemonthlyweekly

[ LICENSING ]

Open licenses only, or unstated licenses flagged

open-onlyflagged

[ PERSONAL DATA ]

As published, or names, emails and phones redacted

as-publishedredact

Every row carries

doc_idurlsource_nametitledoc_typedoc_formatjurisdictionpublished_atcrawled_atmarkdownraw_htmlpdf_uritoken_countrights_basislicense

[ 06 / 08 ]

How it works

From request to delivery

Our data team confirms the size of every slice before anything is delivered.

[ 01 ]
Pick a dataset or describe one
Choose from the catalogue, or tell us the sources, fields and volume you need for a custom build.
[ 02 ]
Choose the slice and delivery
Narrow it by brand, store, region or refresh period, then pick the format, licensing filter and destination.
[ 03 ]
Review a sample
Ask for about 1,000 rows first, so you can check the fields and coverage before the full delivery.
[ 04 ]
Get the full set and refreshes
The dataset lands in your bucket or as download links, then refreshes weekly or monthly if you choose.

[ 07 / 08 ]

FAQ

Frequently asked questions

Coverage, fields, licensing and delivery for restaurant menu data.

Menu data

Ordering and delivery

[ 08 / 08 ]

More datasets

Other dataset categories

Every category ships in the same delivery format, so datasets combine in one pipeline.

Job postings datasetsCustom job postings datasets from Firecrawl Alexandria: titles, locations, pay ranges and dates from Greenhouse, Lever, Ashby and Workday, as Parquet or CSV.Financial datasetsFinancial datasets from Firecrawl Alexandria: 10-K, 10-Q and 8-K filings, exhibits and US economic releases as Parquet, JSONL or CSV, with a license per row.All datasetsThe full catalogue in legal, finance, healthcare and code, plus custom builds.

Get started

Get a sample of restaurant menu data.

Our data team scopes the slice with you and sends about 1,000 rows before the full delivery.

Request a sample All datasets

Are you an AI agent? See setup options

Restaurant menu datasets

Menu items and prices,delivered to your bucket.

Datasets we build

Delivery app store menus

Chain menus by store

Menu price tracking

Where the data comes from

data sources behind one API

...and the full Firecrawl search and scrape suite

Restaurant menu dataset sample

What teams build with it

Menu price benchmarking

Food and menu trend research

Menu onboarding for ordering platforms

Nutrition and diet apps

Delivered your way

From request to delivery

Pick a dataset or describe one

Choose the slice and delivery

Review a sample

Get the full set and refreshes

Frequently asked questions

Other dataset categories

Menu items and prices,
delivered to your bucket.