Grubhub Restaurant Scraper — Ratings, Fees & Cuisines by Location

Extract Grubhub restaurants for any US location: name, cuisines, star rating & review count, price level, delivery & service fees, delivery-time estimate, distance, phone and address. Enter ZIP codes, addresses or coordinates and get clean, structured JSON/CSV/Excel in seconds. Built for food-delivery analysts, restaurant lead-gen, competitive pricing and market research.

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What This Actor Does

Grubhub is one of the largest US food-delivery marketplaces. This Actor returns every restaurant available at a location as a clean row:

• Restaurant — name, cuisines, star rating & review count, price level ($–$$$$)
• Delivery economics — delivery fee, service fee, delivery minimum, delivery-time estimate, distance
• Details — address (street/city/state/ZIP), phone, open status, pickup/delivery availability, coupons
• Links — the direct Grubhub restaurant URL

Enter one or many locations (ZIP, address, city or lat,lng) and it paginates through the full restaurant list at each.

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Why Use This

• Location-based market view. See the entire restaurant supply, pricing and delivery economics for any US ZIP or address — exactly what a customer would see.
• Competitive & pricing intelligence. Compare delivery fees, minimums, price levels and ratings across restaurants and neighborhoods.
• Restaurant lead lists. Name, phone, address, cuisines and ratings make a targeted lead source for restaurant-tech, suppliers and delivery services.
• Fast and structured. Reads Grubhub's own API directly — every field typed and clean, no brittle HTML scraping.

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Quick Start

Run it in the console (no code)

1. Enter one or more Locations — ZIP codes, addresses, cities, or lat,lng (e.g. 10001, New York, NY, 40.7484,-73.9857).
2. Optionally set a Search keyword (e.g. pizza, sushi) and choose delivery or pickup.
3. Click Start, then export as JSON, CSV, Excel or HTML, or push to Google Sheets, a webhook or a database.

The proxy is preconfigured (US residential) since Grubhub requires it — just enter a location and run.

Run it via API (Python)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
    "locations": ["10001", "90012"],
    "searchText": "pizza",
    "maxItemsPerLocation": 200,
}

run = client.actor("YOUR_USERNAME/grubhub-scraper").call(run_input=run_input)

for r in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(r["name"], "·", r["rating"], "·", r["deliveryFee"], "·", r["cuisines"])

Compare delivery fees in a ZIP (Python)

run = client.actor("YOUR_USERNAME/grubhub-scraper").call(run_input={
    "locations": ["60601"],
    "maxItemsPerLocation": 300,
})
rows = list(client.dataset(run["defaultDatasetId"]).iterate_items())
free = [r for r in rows if (r.get("deliveryFee") or 0) == 0]
print(len(free), "of", len(rows), "restaurants offer free delivery")

Build a restaurant lead list (Node.js)

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('YOUR_USERNAME/grubhub-scraper').call({
    locations: ['Austin, TX'],
    maxItemsPerLocation: 300,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
const leads = items.filter(r => r.phone).map(r => ({
    name: r.name, phone: r.phone, cuisines: r.cuisines, rating: r.rating, address: `${r.street}, ${r.city}`,
}));
console.log(leads.length, 'restaurant leads');

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Input Parameters

Field	Type	Description
locations	array	ZIP codes, addresses, cities, or lat,lng. Each is searched separately.
searchText	string	Optional keyword (cuisine or restaurant). Empty = all restaurants.
orderMethod	string	delivery or pickup.
maxItemsPerLocation	integer	Max restaurants per location. Default 200.
maxItems	integer	Optional hard cap on total restaurants. 0 = no limit.
proxyConfiguration	object	Preconfigured to US residential (required by Grubhub).

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Output

Each restaurant is one record:

{
  "restaurantId": "8673688",
  "name": "Pura Vida Miami",
  "cuisines": ["Breakfast", "Bowls", "Sandwiches", "Wraps"],
  "rating": 5, "ratingCount": 770,
  "priceRating": 2,
  "street": "…", "city": "New York", "region": "NY", "postalCode": "10011",
  "distanceMiles": 0.34,
  "deliveryFee": 0, "serviceFee": null, "deliveryMinimum": 0,
  "deliveryTimeEstimate": 16,
  "pickup": true, "delivery": true, "open": true,
  "phone": "3055354142",
  "couponsAvailable": true,
  "url": "https://www.grubhub.com/restaurant/8673688",
  "searchLocation": "New York, NY"
}

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Use Cases

1. Food-delivery market research

Map the full restaurant supply, cuisine mix, ratings and delivery economics for any ZIP or city — and compare neighborhoods or markets.

2. Competitive & pricing intelligence

Benchmark delivery fees, service fees, minimums, price levels and ETAs across restaurants and areas to inform pricing and positioning.

3. Restaurant lead generation

Every restaurant carries name, phone, address, cuisines and rating — a targeted lead source for restaurant tech, POS, suppliers and delivery services.

4. Ratings & reputation analysis

Aggregate ratings and review counts by cuisine, price level and location to spot top performers and gaps.

5. Site selection & expansion

Assess restaurant density, cuisine saturation and delivery economics before opening or expanding into an area.

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Tips

• Locations can be ZIP codes, full addresses, city names or lat,lng. Coordinates are the most precise; addresses/ZIPs are geocoded automatically.
• searchText narrows to a cuisine or restaurant (e.g. vegan, mcdonalds) — efficient for targeted pulls.
• orderMethod: pickup returns pickup availability instead of delivery.
• Multiple locations in one run map a whole city or region; each row carries its searchLocation.
• Schedule it with Apify Schedules to track fees, ratings and new restaurants over time.

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Frequently Asked Questions

Do I need a Grubhub account? No. The Actor reads publicly available restaurant listing data — no login required.

Why is a proxy required? Grubhub is protected by anti-bot; a US residential proxy is preconfigured so it works out of the box.

How do I specify a location? Enter a ZIP, address, city, or lat,lng. Non-coordinate inputs are geocoded automatically.

Does it include menus? It returns each restaurant's core data (ratings, fees, cuisines, contact). Full menus are per-restaurant and can be added on request.

What export formats are supported? JSON, CSV, Excel, HTML, or via API — plus Google Sheets, webhooks, Make and Zapier.

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Legal & Responsible Use

This Actor collects only publicly available restaurant listing information for research and business use. You are responsible for how you use the data. Please:

• Respect Grubhub's Terms of Service and robots directives.
• Comply with applicable data-protection laws when handling any personal data.
• Do not use the data for spam, harassment, or any unlawful purpose.
• Use reasonable request volumes and scheduling.

This project is an independent tool and is not affiliated with, endorsed by, or sponsored by Grubhub.