Food Delivery Companies in USA 2026 — Market Share, Data & Intelligence Guide

The United States food delivery market has crossed a milestone most industry analysts didn’t anticipate until 2028. In 2026, the US online food delivery market generates over $97 billion in annual revenue, and when you include grocery and convenience delivery, the total addressable market approaches $430 billion. DoorDash alone projects $130–135 billion in gross order volume for 2026. Globally, the food delivery market has hit $1.51 trillion and is growing at 7.63% per year through 2030.

Behind those numbers sits a fiercely competitive landscape of delivery platforms, each taking a different approach to logistics, technology, restaurant partnerships, and consumer loyalty. For consumers, choosing the right app is about delivery speed, restaurant selection, and subscription value. For B2B teams restaurant chains, FMCG brands, food-tech companies, investment firms, and market researchers the more important question is: what data does each platform hold, how do you access it at scale, and what competitive intelligence can you extract from it?

This guide serves both audiences. It covers the top food delivery companies in the USA in 2026, their market share, coverage, and business models, and for every major platform, it maps the structured data extractable from that platform and links to FoodSpark’s dedicated scraping service for each one.

US Food Delivery Market Share 2026 — Who’s Winning?

The US food delivery market has settled into a clear hierarchy. DoorDash dominates. Uber Eats holds a strong second position. Everyone else competes for specific niches, geographic strongholds, or vertical categories like grocery and convenience delivery.

Two distinct verticals are worth separating: restaurant delivery and grocery delivery. They have different market leaders, different data profiles, and different buyer audiences for businesses looking to extract intelligence from them.

Restaurant delivery — DoorDash, Uber Eats, Grubhub, and Seamless compete for restaurant ordering. Data yields: restaurant listings, menu items, dish pricing, delivery fees, ratings, reviews, promotional offers, estimated delivery times, and cuisine categories.

Grocery and convenience delivery — Instacart, GoPuff, Walmart+, and Amazon Fresh compete for household goods, groceries, and convenience items. Data yields: SKU names, brand, current price, was-price, promotional pricing, stock availability, product images, and nutrition facts. This data feeds FMCG pricing intelligence, retail analytics, and CPG brand monitoring workflows. Access via FoodSpark’s grocery data API or managed grocery scraping service.

Top 10 Food Delivery Companies in USA 2026 — Full Profiles

Each profile below covers the company’s founding, US coverage, business model, subscription offering, and, uniquely, the structured data fields extractable from that platform and what B2B teams use them for.

1. DoorDash — US Market Leader with 65% Share

Founded in 2013 by Stanford students in Palo Alto, DoorDash has grown into the dominant force in US food delivery, holding approximately 65% of the US restaurant delivery market by order volume in 2026. DoorDash projects $130–135 billion in gross order volume for the year, operating across 8,000+ US cities and 37+ countries.

DoorDash’s market position is built on suburban coverage; it expanded into cities, towns, and suburbs that Uber Eats and Grubhub never penetrated, making it the default delivery app for non-urban America. DashPass, its subscription program, offers unlimited free delivery and reduced service fees for a monthly fee, driving repeat order frequency and locking in customer loyalty.

Beyond the consumer marketplace, DoorDash operates several B2B products: DoorDash Drive provides white-label delivery fulfillment for restaurants’ own digital ordering channels. Caviar is a premium sub-brand serving upscale and Michelin-recommended restaurants with average order values 2.5x the DoorDash standard. DoorDash Kitchens operates ghost kitchen facilities in select cities.

Data extractable from DoorDash: restaurant names, addresses, cuisine types, aggregate ratings, review counts, full review text, menu item names, dish descriptions, pricing, delivery fees by distance, promotional offers, DashPass eligibility, estimated delivery times, and restaurant operating hours. FoodSpark’s DoorDash data scraping service delivers this data at any scale from a single city to all 50 US states in JSON, CSV, or via API feed.

2. Uber Eats — 6,000+ US Cities, Widest Geographic Footprint

Uber Eats launched in 2014 as a food delivery extension of Uber’s ride-sharing platform and has grown into the second-largest US food delivery service with approximately 23% market share and $80–90 billion in gross order volume for 2026. Uber Eats operates across 6,000+ US cities, a geographic footprint no other food delivery app matches, making it particularly valuable for organizations that need market data covering multiple metro areas, regional clusters, or ZIP code segments.

Eats Pass, Uber’s subscription program, bundles food delivery benefits with Uber ride-sharing credits, a unique value proposition that no other delivery app can replicate. Uber Eats also operates business accounts for corporate meal ordering and bulk food delivery, making it a significant player in the B2B catering and office food segment.

In February 2026, Uber announced the acquisition of Getir, the Turkish quick-commerce platform, giving Uber access to grocery, retail, and water delivery services across multiple markets. This acquisition positions Uber Eats as a future competitor to Instacart and GoPuff in the grocery delivery space.

Data extractable from Uber Eats: restaurant listings across 6,000+ US cities, menu items and pricing, delivery fees, estimated delivery times, restaurant ratings and reviews, promotional offers, cuisine type, and operating hours. Uber Eats’ geographic coverage makes it the most useful platform for multi-city market analysis. FoodSpark’s Uber Eats data scraping service extracts this data city-by-city or at national scale.

3. Grubhub — Founded 2004, NYC’s Dominant Platform

Grubhub is the oldest US food delivery platform, founded in 2004 in Chicago by Matt Maloney and Mike Evans, two software engineers frustrated with paper menus and phone orders. Despite losing significant market share to DoorDash over the past decade, Grubhub retains approximately 6% of US restaurant delivery market share and remains the dominant platform in New York City, where its Seamless brand has a deep institutional presence.

Grubhub serves 4,000+ US cities and has particular strength in college towns through its Campus Dining Program, integrating directly with university meal plans at 250+ campuses across the US. Grubhub+ subscription offers unlimited free delivery and exclusive restaurant perks. For corporate accounts, Grubhub for Work enables companies to manage employee food budgets and subsidize meals through a centralized portal.

Data extractable from Grubhub: restaurant names, menus, pricing, delivery fees, ratings, reviews, operating hours, and cuisine categories with particularly deep coverage in New York, Chicago, and college-dense markets.

4. Instacart — #1 US Grocery Delivery, 1,400+ Retail Partners

Instacart is the dominant US grocery delivery platform, partnering with 1,400+ retail banners including Kroger, Costco, Safeway, Albertsons, Aldi, Publix, Whole Foods, CVS, and hundreds of regional chains across the US and Canada. Unlike restaurant delivery apps, Instacart doesn’t own inventory; it connects consumers with personal shoppers who pick and deliver from physical store locations.

Instacart+ subscription offers free delivery on orders over $35 and 5% cashback on eligible orders. The platform has also expanded into retail media, selling advertising space to CPG brands looking to promote their products in Instacart’s search results and category pages.

For FMCG and CPG brands, Instacart holds some of the most valuable product pricing and promotional data in the US retail landscape. With 1,400+ retail banners on a single platform, tracking SKU pricing across Kroger, Walmart, and Costco simultaneously is possible from a single data source. FoodSpark’s grocery data API delivers structured Instacart product data: SKU name, brand, current price, was-price, promotional pricing, availability, and product images at any volume.

5. GoPuff — 500+ Dark Stores, Sub-30-Minute Delivery

GoPuff operates one of the largest dark-store quick-commerce networks in the United States: 500+ micro-fulfillment centers stocked with snacks, drinks, alcohol, household goods, baby products, and over-the-counter medicines. Founded in 2013 in Philadelphia by Drexel University students, GoPuff charges a flat $0.95 delivery fee on most orders with no minimum, a positioning designed to compete on price and speed.

GoPuff’s dark-store model, owning inventory in strategically placed micro-warehouses rather than routing through third-party stores, allows it to guarantee sub-30-minute delivery in most covered markets. This model is distinct from both restaurant delivery (no restaurant partner required) and grocery delivery (no retail partner required). GoPuff operates in 1,000+ US cities and offers alcohol delivery through its sub-brand BevMo! in select markets.

Data extractable from GoPuff: SKU availability by market, current pricing, promotional offers, and geographic coverage of dark store zones useful for convenience brand managers and alcohol beverage companies tracking shelf positioning.

6. Seamless — Grubhub-Owned, New York City’s Default

Seamless is a Grubhub-owned brand that has operated in New York City since 1999 — making it the oldest food delivery service in the US by founding date. Acquired by Grubhub in 2013, Seamless runs on Grubhub’s restaurant network and logistics infrastructure but maintains a distinct brand identity specifically for the New York market where it holds significant awareness and loyalty among both consumers and corporate accounts.

Seamless for Business is a major revenue line — corporate accounts at law firms, banks, consulting firms, and media companies in NYC use Seamless to manage employee meal budgets and catering orders through a centralized company account. This B2B segment makes Seamless data particularly valuable for corporate catering competitors and restaurant chains targeting the NYC business dining market.

7. Postmates — Merged into Uber Eats (2020)

Postmates was founded in San Francisco in 2011 and pioneered the on-demand urban delivery model before being acquired by Uber for $2.65 billion in 2020. The Postmates brand has been progressively phased out and fully merged into Uber Eats’ infrastructure, with remaining Postmates users redirected to the Uber Eats app.

For data buyers, this merger matters: restaurant and menu data previously available on the Postmates platform now flows through Uber Eats’ data infrastructure. Historical Postmates data is maintained in FoodSpark’s longitudinal food delivery datasets, which support year-over-year pricing comparisons and platform migration tracking.

8. Amazon Fresh / Whole Foods Delivery — Prime-Exclusive Grocery

Amazon Fresh and Whole Foods delivery is exclusively available to Amazon Prime members — covering 3,500+ Whole Foods SKUs alongside Amazon’s own grocery product lines (365 by Whole Foods, Amazon Fresh private label). Prime members in eligible areas receive free 2-hour delivery on orders over $35.

For CPG and FMCG brands, Amazon Fresh holds some of the most competitively sensitive pricing data in US grocery retail. Amazon’s algorithmic pricing means Fresh prices can change multiple times per day. Tracking Amazon Fresh SKU pricing versus Whole Foods shelf pricing versus Instacart delivery pricing for the same item gives CPG brands a complete picture of their product’s digital shelf positioning. FoodSpark’s grocery data API delivers this data on a configurable refresh schedule daily for active price monitoring, or one-time snapshots for market research reports.

9. Walmart+ Delivery — Grocery at the Widest US Scale

Walmart+ is the grocery and household delivery subscription from the world’s largest retailer, offering same-day delivery from 4,700+ Walmart Supercenter and Neighborhood Market locations across the US, a physical retail footprint that dwarfs every other grocery delivery platform combined. Walmart+ membership costs $98/year and includes free same-day delivery on orders over $35, fuel discounts, and Paramount+ streaming.

For CPG brands and retail analytics teams, Walmart’s pricing data is a national benchmark. Walmart’s everyday low price (EDLP) strategy means its prices are more stable than Kroger or Safeway promotional pricing, but rollback promotions and Walmart+ member pricing create dynamic data worth tracking. Walmart+ delivery data via FoodSpark provides SKU pricing, availability by store location, promotional rollbacks, and private-label vs national-brand price gaps across categories.

10. ChowNow — Commission-Free Ordering for Independent Restaurants

ChowNow takes a fundamentally different approach from every other company on this list. Rather than building a consumer marketplace, ChowNow builds branded, commission-free direct ordering websites and apps for individual restaurants, charging restaurateurs a flat monthly subscription fee instead of the 15–30% per-order commissions that DoorDash and Uber Eats charge.

ChowNow powers direct online ordering for 20,000+ independent restaurants across the US. There is no ChowNow consumer marketplace; customers order directly from each restaurant’s ChowNow-powered website. For data buyers, ChowNow represents access to independent restaurant menu and pricing data for restaurants that do not appear on major delivery platforms.

What Data Can You Extract from US Food Delivery Companies?

Every major food delivery platform in the USA holds structured, publicly visible data that businesses extract for competitive intelligence, market research, pricing analysis, and technology applications. This is the section every competitor blog skips; here is what is actually available and how each data type is used.

Platform-by-Platform Data Field Coverage

Notes: ✓ = field available and regularly extracted · – = field not applicable to platform type

Restaurant Platform Data Fields — Full Detail

For restaurant delivery platforms (DoorDash, Uber Eats, Grubhub, Seamless, ChowNow), the extractable fields include:

• Restaurant identity: name, address, phone number, website URL, Google Maps URL, Yelp URL, Google Place ID
• Location data: street address, city, state, ZIP code, neighbourhood, latitude/longitude coordinates
• Category data: primary cuisine type, secondary cuisine tags, course types (breakfast, lunch, dinner), dietary tags (vegan, halal, gluten-free)
• Performance data: aggregate star rating, total review count, review velocity (new reviews per week)
• Menu data: item names, item descriptions, item prices, item categories, modifier options, add-on pricing, bestseller tags, availability status
• Delivery data: delivery fee by distance, estimated delivery time, minimum order value, DashPass/Eats Pass eligibility
• Promotional data: active promotional offers, discount codes, limited-time deals, bundle pricing
• Review data: full review text, star rating per review, review date, reviewer name, owner response text

FoodSpark’s food data scraping services extract all of the above fields from DoorDash, Uber Eats, Grubhub, and Seamless delivered in JSON, CSV, or via a live food data API endpoint.

Grocery Platform Data Fields — Full Detail

For grocery and convenience delivery platforms (Instacart, GoPuff, Walmart+, Amazon Fresh), the extractable fields include:

• Product identity: product name, brand name, SKU, barcode/UPC/EAN
• Pricing data: current price, was-price, per-unit price (per oz/lb/each), sale price, Instacart+ member price
• Availability: in-stock status, low-stock flag, out-of-stock date, store-level availability by ZIP code
• Promotional data: active promotions, coupon offers, bundle deals, brand-sponsored discount events
• Product detail: product description, ingredients, nutrition facts, allergen information, health star rating, product images
• Category: primary category, sub-category, aisle location, featured/sponsored placement flag

FoodSpark’s grocery data API delivers structured grocery SKU data from Instacart, Walmart+, Amazon Fresh, GoPuff, Kroger, Safeway, Costco, and 1,400+ retail banners on a refresh schedule you configure.

How Businesses Use Food Delivery Company Data in 2026

Structured data from US food delivery platforms powers six distinct B2B intelligence workflows. Each one represents a recurring data need, not a one-time project.

Use Case 1: Competitor Price Monitoring

Restaurant chains and food service operators use DoorDash and Uber Eats data to track how competitors price identical or similar dishes within the same delivery zone. A burger chain in Dallas monitoring 50 competitor locations across DoorDash can identify when a competitor runs a limited-time promotion, drops its delivery fee, or adjusts menu pricing and respond within hours rather than days.

FoodSpark delivers competitor pricing data on daily or weekly refresh schedules, with price change alerts when specific items or competitors cross defined thresholds.

Use Case 2: Market Expansion Research

Food chains, ghost kitchen operators, and restaurant groups planning new market entry use restaurant density data from DoorDash and Uber Eats to identify under-served cuisine categories in target cities before committing capital. A ghost kitchen operator evaluating Dallas-Fort Worth can scrape every restaurant listing on DoorDash by cuisine type, rating, price range, and delivery zone and identify which categories are over-served (burger joints everywhere) and which are under-represented (quality Mediterranean, premium sushi) before launching.

FoodSpark delivers region-wise and city-wise restaurant listing data scoped to any US metro, cuisine category, or ZIP code range. [Internal link: restaurant location data → /region-wise-restaurant-listings/]

Use Case 3: FMCG Grocery Price Intelligence

CPG and FMCG brands tracking their own SKUs across Instacart, Walmart+, and Amazon Fresh use grocery price data to monitor retail partner compliance with MAP (Minimum Advertised Price) policies, identify unauthorized promotions, track competitor SKU pricing in adjacent categories, and build shelf positioning reports for category management presentations.

For a CPG brand with SKUs in 500 Kroger locations and 300 Safeway locations, FoodSpark’s grocery data API delivers daily price snapshots with change flags so the brand’s pricing team sees every deviation from MAP within 24 hours. [Internal link: grocery data API → /grocery-data-scraping/]

Use Case 4: Review Sentiment Analysis

Food brands, aggregators, and reputation management agencies extract DoorDash, Grubhub, and Yelp review text to run sentiment analysis at scale identifying recurring complaints in a cuisine category, tracking brand perception trends over time, and building training data for food industry NLP models. A pizza chain monitoring 500 competitor Grubhub listings for reviews mentioning ‘cold,’ ‘late,’ or ‘wrong order’ gets a real-time map of its competitors’ operational weaknesses — intelligence that’s far more actionable than any consumer survey.

Use Case 5: Ghost Kitchen and Virtual Brand Strategy

Ghost kitchen operators and virtual restaurant groups scrape DoorDash to identify which cuisine types, price points, and dish categories drive the highest order volumes in their target cities, then design their virtual menus around those data signals rather than gut instinct. A ghost kitchen launching in Austin scraping DoorDash for every restaurant’s cuisine, price range, rating, and review count can identify the exact market gaps a new virtual brand should fill before spending a dollar on kitchen build-out.

FoodSpark’s food data scraping services deliver this competitive menu intelligence scoped to any city, ZIP code, or delivery zone. [Internal link: food data scraping services → /food-data-scraping/]

Use Case 6: Investment Due Diligence

VC firms, PE funds, and strategic advisors conducting due diligence on food delivery platforms, restaurant chains, or ghost kitchen concepts use structured platform data to validate market claims, assess competitive positioning, and benchmark performance across geographies. A fund evaluating a ghost kitchen concept in three US cities needs restaurant density maps, average rating benchmarks, delivery fee structures, and cuisine saturation data from DoorDash and Uber Eats that FoodSpark delivers as a custom dataset within 48 hours of scoping.

FoodSpark’s food data scraping service in USA serves investment teams with one-time market analysis datasets and recurring portfolio monitoring feeds. [Internal link: food data scraping service in USA → /food-data-scraping-service-usa/]

Food Delivery Trends Reshaping the US Market in 2026

Five structural shifts are defining how US food delivery companies compete in 2026 and creating new data needs for businesses tracking the market.

Trend 1: Dark Stores and Q-Commerce Expansion

GoPuff, Amazon Fresh, Walmart+, and now Uber Eats (via Getir) are all scaling dark-store micro-fulfillment networks for sub-30-minute grocery and convenience delivery. These dark stores create a new data layer: SKU availability by dark store location, pricing by ZIP code, and inventory depth signals that change by the hour. FMCG brands need grocery data API access to these platforms to track their product’s real-time availability across dark store networks, a data need that didn’t exist three years ago.

Trend 2: AI-Powered Menu Optimization

DoorDash and Uber Eats are both using AI to personalize restaurant and dish recommendations in ways that alter which restaurants appear first in search results. For restaurant operators, this means menu item naming, descriptions, and categorization on delivery platforms now affect algorithmic visibility, making menu data scraping a strategic input for optimization, not just competitive research. FoodSpark’s food data API delivers the menu data businesses need to understand how their listings appear versus competitor listings in the same search context.

Trend 3: The Subscription Wars

DashPass (DoorDash), Eats Pass (Uber Eats), and Grubhub+ are all competing to lock consumers into subscription commitments that increase order frequency and reduce churn. Subscription fee changes, included restaurant list changes, and delivery fee threshold adjustments are tracked by FoodSpark’s promotional data scraping service giving subscription-adjacent businesses (restaurant chains, CPG brands) visibility into how subscription incentives shift consumer ordering patterns.

Trend 4: Ghost Kitchens and Virtual Brands at Scale

Virtual restaurant brands operating exclusively through delivery apps with no physical storefront have become a meaningful revenue channel for both independent operators and restaurant chains. DoorDash Kitchens, Reef Technology, and CloudKitchens all operate facilities where multiple virtual brands share kitchen space. The data intelligence layer here, which virtual brands are gaining ratings and review velocity in which cities, is extractable from DoorDash and Uber Eats listings and is becoming a standard input for ghost kitchen investment decisions.

Trend 5: Platform Consolidation Accelerating

Uber’s February 2026 acquisition of Getir, giving it access to grocery, retail, and water delivery, is the latest in a consolidation trend that has already seen Uber absorb Postmates (2020) and Grubhub acquire Seamless (2013). As platforms consolidate, their data becomes more comprehensive but also more concentrated. Businesses that built data pipelines on individual platforms need to update their extraction workflows as restaurant networks and menus migrate between brands. FoodSpark’s self-healing pipelines adapt automatically to platform structural changes, including post-acquisition migrations.

How to Access Food Delivery Company Data — 3 Methods Compared

For B2B teams that need structured data from US food delivery platforms, three approaches are available in 2026. Here is an honest comparison of each:

Method 1: Official Platform APIs — Restricted and Expensive

DoorDash, Uber Eats, and Grubhub all offer developer APIs but each is restricted to approved restaurant and POS partners managing their own store data. These APIs are not designed for competitive intelligence, market research, or bulk data extraction. You need a verified merchant account, approval from the platform, and even then you only access data for stores you own.

Google Maps Platform’s Places API provides some business listing data but charges per request (costs scale rapidly at tens of thousands of queries) and caps review access at a small number per business. Yelp’s Fusion API returns a maximum of 3 reviews per business. Official APIs are designed for operational use by merchants not for market intelligence.

Method 2: DIY Python Scraping — High Maintenance, Limited Scale

Python scrapers using Playwright, Selenium, or Requests can extract DoorDash and Uber Eats data programmatically. The workflow: search by city and cuisine, scroll to load all listings, click each listing, extract fields, export to CSV. What makes this harder than it sounds: DoorDash loads restaurant data dynamically through JavaScript, uses TLS fingerprinting and behavioural pattern detection, and rate-limits aggressive scraping. Scrapers built to work on day one typically stop returning reliable data within 72 hours as platform defences identify the pattern.

Maintaining a production DIY scraper for any major US food delivery platform requires constant updates proxy rotation, browser fingerprint randomisation, and logic rebuilds every 4–8 weeks when platforms update their front-end structure. Most data engineering teams building in-house scrapers spend 60%+ of their time on maintenance rather than new capability development.

Method 3: FoodSpark Managed Food Data Scraping Service — Production-Ready

FoodSpark’s food data scraping service in the USA handles the full extraction pipeline geographic targeting, anti-bot management, JavaScript rendering, data cleaning, deduplication, and scheduled delivery across DoorDash, Uber Eats, Grubhub, Instacart, Seamless, GoPuff, Walmart+, Amazon Fresh, ChowNow, and 200+ additional platforms.

How it works: tell FoodSpark your target platforms, city or ZIP code scope, required data fields, and delivery format preference. FoodSpark delivers a free 100-row sample within 4 business hours so you verify data quality before committing. Full datasets are delivered in CSV, JSON, Excel, or directly into BigQuery, Snowflake, or AWS S3 within 24–48 hours for standard projects.

For ongoing data needs weekly competitor price monitoring, monthly market research updates, or real-time menu change alerts FoodSpark sets up automated delivery on your schedule with no manual intervention required. FoodSpark’s food data API gives technical teams a live REST endpoint querying the same extraction infrastructure on demand.

Food Delivery Companies by US City — Coverage Comparison

Which food delivery service is available in your target city? Here is the 2026 coverage map for the top 10 US metro areas across the major platforms:

Notes: ✓ = confirmed coverage  ~ = limited coverage  ✗ = not available  WM+ = Walmart+

For B2B data teams: FoodSpark extracts restaurant and pricing data from all of the above platforms across every US city scoped to any metro area, cuisine category, ZIP code range, or custom geographic boundary. Region-wise restaurant listing data is available for all 50 US states and 8,000+ cities.

Food Delivery Companies in USA — FAQs

Frequently asked questions about US food delivery companies with answers that cover both consumer and B2B perspectives.

What is the largest food delivery company in the USA?

DoorDash is the largest food delivery company in the USA with approximately 65% market share by order volume and a projected $130–135 billion in gross order volume for 2026. DoorDash operates in 8,000+ US cities and is available in 37+ countries globally, with a restaurant network larger than Uber Eats and Grubhub combined.

Which food delivery service covers the most US cities?

Uber Eats covers 6,000+ US cities, the widest single-platform geographic footprint of any US food delivery app. DoorDash covers 8,000+ US cities, but this number includes suburban and rural areas where Uber Eats has limited presence. For sheer city-count coverage in major and mid-tier US metros, Uber Eats leads. For rural and small-town coverage, DoorDash leads.

What is the best grocery delivery company in the USA?

Instacart is the largest dedicated grocery delivery platform in the USA, partnering with 1,400+ retail banners. Walmart+ is the best option for Walmart shoppers and offers the widest physical store network (4,700+ locations). Amazon Fresh is best for Prime members, particularly for Whole Foods products. GoPuff leads for sub-30-minute convenience and snack delivery via its dark store network.

How can I get structured data from US food delivery companies?

Official APIs from DoorDash, Uber Eats, and Grubhub are restricted to approved restaurant and POS partners; they are not available for competitive intelligence or market research use cases. FoodSpark’s food data scraping service in USA and food data API deliver structured data from all major US platforms: restaurant listings, menus, pricing, reviews, and grocery SKUs in any format, on any refresh schedule. Free 100-row sample in 4 business hours.

What food delivery companies operate in rural USA?

DoorDash has the widest rural US coverage; its suburban and small-town expansion strategy was a deliberate differentiator from Uber Eats’ city-first approach. Walmart+ covers rural areas through Walmart’s 4,700+ store network, making it the most reliable grocery delivery option in non-urban America. GoPuff and Instacart have limited rural presence.

What happened to Postmates?

Postmates was acquired by Uber for $2.65 billion in December 2020 and has been fully merged into Uber Eats. The Postmates brand and app have been discontinued, with all users redirected to the Uber Eats platform. Historical Postmates restaurant and menu data is available in FoodSpark’s longitudinal food delivery datasets. [Internal link: Postmates data → /postmates-restaurant-data-scraping-service/]

Is Getir available in the USA in 2026?

Getir entered the US market in 2021 but retreated from several US cities in 2022 due to high operating costs. In February 2026, Uber announced the acquisition of Getir, integrating its grocery, food, and retail delivery services into the Uber ecosystem. Getir’s US operations are being absorbed into Uber Eats and Uber’s broader delivery infrastructure.

What food data API gives access to DoorDash and Uber Eats data?

DoorDash and Uber Eats do not offer public APIs for competitive intelligence or bulk data access. FoodSpark’s food data API extracts structured data from DoorDash, Uber Eats, Grubhub, Instacart, and 200+ platforms — delivering restaurant listings, menu items, pricing, ratings, reviews, and grocery SKUs in JSON or CSV via a REST API endpoint, webhook, or direct delivery into BigQuery or Snowflake. Free 100-row sample available.

Conclusion — US Food Delivery Companies and the Data Behind Them

The US food delivery market in 2026 is defined by a clear three-tier structure: DoorDash dominates restaurant delivery with 65% market share, Instacart leads grocery delivery with 1,400+ retail partners, and a competitive middle tier (Uber Eats, Grubhub, GoPuff, Walmart+) fights for specific niches, cities, and consumer segments.

For consumers: DoorDash for suburban variety, Uber Eats for major city coverage, Grubhub for NYC, Instacart for groceries, GoPuff for 30-minute convenience. For B2B teams: the platform that matters is the one your customers, competitors, or target market is using in your geography — and the intelligence you need is in the data those platforms hold publicly.

FoodSpark’s food data scraping services in USA extract structured data from every platform on this list — restaurant menus, competitor pricing, grocery SKUs, review sentiment, and market coverage data — delivered clean, on schedule, and at any scale. Whether you need a one-time market research dataset or a live food data API feed, FoodSpark scopes every project to your exact platforms, cities, fields, and delivery requirements.