FOOD DATA API PRICING - CUSTOM PLANS

Food Data API Pricing
Custom Plans for Every Scale

Wondering what food data API pricing or food scraping service cost looks like? There’s no single answer, and that’s actually good news. Food data scraping cost is scoped to your platforms, data fields, volume, and refresh frequency. No fixed tiers, no bloated packages. You pay for exactly what you need, and you see the data quality before you commit.

500K+

Records delivered monthly

50 States

USA coverage across all platforms

< 24 hrs

Response time on every quote request

Food scraping API plans for
USA-based teams that run
on data

FoodSpark serves B2B buyers across the US food and technology ecosystem. Our food scraping API plans are built specifically for USA market coverage DoorDash, Uber Eats, Grubhub, Instacart, and every major platform your business depends on. If you need structured, reliable food data delivered clean and on schedule this is built for you.

Food aggregators & delivery platforms

Monitor competitor menus, pricing changes, and delivery fees across DoorDash, Uber Eats, and Grubhub in real time.

Market research & analytics firms

Build market maps, track restaurant density by US metro, and power consumer trend reports with fresh, structured datasets.

VC-backed food-tech startups

Move fast without building your own scraping infrastructure. Get production-ready data in days, not months.

FMCG & grocery brands

Track SKU pricing, product availability, and shelf positioning across Instacart, Whole Foods, and Walmart Grocery.

Data resellers & consultants

White-label ready datasets you can package and resell to your clients, delivered in your preferred format on your schedule.

Restaurant chains & ghost kitchens

Analyze competitor menu pricing by city, track your own listing accuracy across platforms, and find expansion opportunities.

How much does food data cost? What goes
into restaurant data scraping pricing

The most common question we get: how much does food data cost? The answer depends on six variables. Restaurant data scraping pricing, food dataset pricing, and food API pricing plans all vary based on what you’re extracting, how often, and where it needs to land. We don’t publish fixed prices because no two clients need the same thing, and once we understand your six variables, we can quote you accurately within 24 hours.

Custom API Plan

Platform-Based

Platform Coverage

API pricing changes based on the number of platforms you want to access, such as Swiggy, Zomato, Uber Eats, Blinkit, Zepto, Walmart, or Instacart.

Flexible Usage

Request-Based

API Request Volume

Higher API request volume requires stronger infrastructure, but bulk usage can reduce the overall cost per request or record.

Real-Time

Refresh-Based

Data Refresh Frequency

Pricing depends on whether you need real-time, hourly, daily, weekly, or one-time food and grocery data updates.

City / ZIP Level

Geo-Based

Refresh frequency

A one-time historical dataset costs less than a daily automated pipeline. Real-time feeds are priced for enterprise use cases.

from $2.00/GB

32M+ proxy pool

Geography

Pricing varies by update frequency, from real-time to weekly, based on infrastructure, processing, platforms, locations, & data volume.

Food API pricing plans — choose the scope that fits
your scale

These three food API pricing plans describe what’s typically included at each scope. All plans are fully customizable these are starting points, not rigid packages. Every tier includes a free sample dataset so you can verify quality before committing to a food data custom quote.

Starter

Best for startups & one-time research

Starter

Best for analytics teams & data resellers

Starter

Best for food-tech platforms & large-scale operations

Food API pricing plans choose the scope that fits
your scale

Buy food delivery dataset USA — platforms we cover

Whether you want to buy a food delivery dataset for the USA or need a live API feed, we cover every major US platform. All data is publicly sourced, CCPA-compliant, and delivered clean.

Yelp

Collect Yelp restaurant listings, reviews, ratings, locations, cuisines, and local business insights.

Toast

Collect Toast restaurant menus, pricing, locations, ordering data, and restaurant technology insights.

OpenTable

Collect OpenTable restaurant profiles, ratings, reviews, cuisines, reservations, and location data.

ChowNow

Get ChowNow menu, pricing, restaurant, location, and ordering data through a custom API plan.

DoorDash

Track DoorDash restaurants, menus, prices, offers, delivery fees, ratings, and location-based availability data.

Instacart

Monitor Instacart grocery products, prices, offers, stock availability, stores, categories, and delivery coverage.

How your data is delivered

We deliver clean, structured data in the format your team already uses — so there’s no ETL work on your side and no raw scrape dumps to clean.

Output formats

CSV

JSON

XML

Rest API

Webhook

Destinations

AWS S3

Google BigQuery

Snowflake

Google Sheets

Direct download

Refresh frequency

One-time

Weekly

Daily

Real-time (hourly)

Data cleanliness

Deduplicated

normalized

validated before delivery — no raw scrape dumps

Compliance

Public data only

GDPR & CCPA aligned

NDA available on request

Why Choose us

Food-only focus

We don’t scrape fashion, travel, or real estate. Food and grocery is all we do — which means our scrapers, schemas, and cleaning logic are purpose-built for food platform data.

Data that arrives clean

Every dataset goes through deduplication, field normalization, and quality validation before delivery. You get analysis-ready data — not a raw dump that takes days to clean.

Self-healing pipelines

When a platform redesigns its layout, our scrapers adapt automatically. You don’t experience gaps in data history or get told to wait while we rebuild the scraper.

Free pilot before commitment

Every engagement starts with a free sample dataset. Evaluate the data quality, field coverage, and freshness before you sign anything.

US compliance built in

We extract only publicly available data, operate CCPA and GDPR compliant, and can provide a data processing agreement (DPA) for enterprise clients.

Fast turnaround

Quote in under 24 hours. Sample delivered within 4 business hours. Most standard projects go live within 5–7 business days of scope sign-off.

Frequently asked questions about food data API pricing

From ‘how much does food data cost’ to ‘what is the DoorDash data scraping price’ these are the questions we answer every day. Read on, or jump straight to the quote form below.

How is food data API pricing determined?

Food data API pricing is scoped to six variables: platforms you need, data fields, monthly volume, refresh frequency, delivery format, and geography. We quote based on what you actually need — no paying for features you won’t use. Once you tell us your requirements, we send a food data custom quote within 24 business hours.

What does food scraping service cost on average?

Food scraping service cost varies widely depending on scope. A one-time dataset pull for a single platform starts lower than a daily multi-platform pipeline. Rather than give you a range that may not apply to your project, we scope each engagement individually and quote accurately. The best way to understand your food data scraping cost is to fill in the quote form — we respond within 24 hours.

Do you charge restaurant data API cost per record, or per project?

It depends on the engagement. One-time datasets are typically a flat project fee. Recurring plans (daily or real-time feeds) are scoped by monthly record volume — so restaurant data API cost per record decreases as your volume grows. We outline the exact model clearly in your proposal so there are no surprises.

What is the DoorDash data scraping price?

DoorDash data scraping price depends on the fields you need, volume of records, and how frequently data should refresh. A one-time DoorDash dataset (restaurant names, addresses, ratings, menus across a city or state) is priced differently from a daily real-time pipeline covering all 50 states. Tell us your use case and we’ll quote the DoorDash data scraping price specific to your project.

Is there a food data API free sample before I commit?

Yes. Every engagement starts with a free food data API sample 100 rows from your target platform in CSV or JSON, delivered within 4 business hours. You verify data quality and field coverage before any payment or contract. It’s your food scraping free trial with zero obligation.

How quickly can I get a food data custom quote?

We respond to all food data custom quote requests within 24 business hours. For straightforward projects (1–2 platforms, standard fields), we often scope and quote the same day.

Is there a minimum contract? Can I start with a one-time pull?

No minimum. We offer one-time dataset pulls as well as ongoing monthly food API pricing plans. You can start with a single pull to test the data, then move to a recurring plan as your needs grow.

Can I scrape DoorDash, Uber Eats, or Grubhub data legally?

Yes. We extract only publicly available data and operate in full compliance with GDPR and CCPA. We do not scrape personal user data, payment information, or any non-public content. Our legal compliance documentation is available on request.

What is the difference between a food data API and a dataset?

A dataset is a delivered file (CSV/JSON) containing structured records at a point in time — ideal for one-time research, model training, or market analysis. A food data API gives you a live endpoint you query programmatically for real-time or regularly refreshed data. Both are available — many clients start with a dataset and upgrade to an API as their use case scales.

Which USA platforms do you cover?

We cover all major US food delivery and restaurant platforms: DoorDash, Uber Eats, Grubhub, Instacart, Seamless, OpenTable, ChowNow, Toast, Postmates, Delivery.com, Yelp, and Google