🥡 Seamless Food Delivery Scraper

🚀 Pull Seamless restaurant listings, delivery fees, ETAs, ratings, cuisines, and geolocated addresses in seconds. Filter by US metro, cuisine keyword, sort order, or order method. No API key, no registration, no manual CSV wrangling.

🕒 Last updated: 2026-05-16 · 📊 43 fields per record · 30 preset US metros · Full delivery economics (fees, minimums, ETAs) · Live ratings and cuisine tags

Seamless is the dominant restaurant-delivery marketplace in New York City and across most of the Eastern United States, with 40%+ share in core markets and full inventory parity with parent platform Grubhub. The data behind every listing covers restaurant name, cuisines, delivery and pickup ETAs, delivery fees, minimum orders, ratings, geocoded address, and active promotions. The site renders that data inside a logged-in style web app, so getting a clean restaurant feed for analytics or aggregation has meant either scraping HTML page-by-page or licensing a four-figure SaaS feed.

This Actor reads the same public Seamless restaurant index a regular visitor sees and returns each restaurant as a flat JSON record. Pick one or more of the 30 preset metropolitan markets (NYC, Brooklyn, Queens, Boston, Chicago, Philadelphia, DC, Miami, LA, SF, Seattle, and 19 others), drop in custom latitude and longitude, or paste specific Seamless restaurant URLs. Filter the results by cuisine keyword, sort by rating, delivery time, distance, or delivery fee, and choose delivery or pickup mode. Each record covers the restaurant ID and canonical URL, logo, name, full address split into street, city, state, ZIP, geocoded latitude and longitude, cuisines, rating and review count, price tier, delivery fee, minimum order, delivery and pickup ETAs (with min/max range), active promotional offers, restaurant tags and badges, and a freshness timestamp.

Target audience	Primary use cases
Food delivery aggregator platforms	Build comprehensive multi-platform price comparison tools
Restaurant market analysts	Metro-level restaurant supply and category mix reports
POS and restaurant tech vendors	Feed restaurant CRMs with competitor pricing and ETA data
Local business intelligence providers	Track restaurant openings, closings, and market dynamics
Consumer price comparison services	Monitor delivery fees and minimum orders across cities
Real estate and retail site selectors	Score neighborhoods by restaurant density and rating

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📋 What the Seamless Scraper does

• 🏙️ Metro picker. 30 preset US metros, each mapped to its city-center coordinates and ready to search with a single click.
• 📍 Custom coordinates. Drop in any US latitude and longitude to search around an arbitrary delivery point.
• 🔗 URL targeting. Paste specific Seamless restaurant URLs to pull individual restaurants by ID.
• 🔍 Keyword filter. Optional free-text query against cuisine, dish, or restaurant name.
• 🥡 Order method. Switch between delivery and pickup listings, each with its own ETA and availability.
• 📊 Sort order. Default (featured), rating, delivery time, distance, delivery fee, or popularity.

Every record covers the restaurant ID, canonical Seamless URL, slug, logo, name, current open status, cuisines, average rating with review count, price tier, delivery fee and minimum order (in dollars), delivery and pickup ETAs with min/max ranges, distance from the search point in miles, address split into street, city, state, and ZIP, geocoded latitude and longitude, phone number, active promotional offers and coupon counts, internal restaurant tags and badges, and a scrape timestamp.

💡 Why it matters: Seamless and Grubhub publish the most authoritative restaurant feed for the Northeast US. Pulling it directly gives you fresher numbers than any aggregator, with delivery economics (fees, minimums, ETAs) the public APIs of competitors do not expose.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough of the input form, the dataset view, and a worked example of building a city-level restaurant density dashboard.

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⚙️ Input

Field	Type	Required	Description
maxItems	integer	No	Maximum restaurants to return. Free plan capped at 10 (preview). Paid plans up to 1,000,000.
metros	array of enum	No	One or more of the 30 preset US metros to search. Leave empty if you supply custom coordinates or specific URLs.
searchQuery	string	No	Optional free-text query (cuisine, dish, or restaurant name).
sortBy	enum	No	Default (featured), rating, delivery_time, distance, delivery_fee, or popular.
orderMethod	enum	No	delivery (default) or pickup.
includeOpenOnly	boolean	No	If true (default), restaurants currently marked closed or unavailable for online ordering are skipped.
latitude	number	No	Custom latitude (decimal degrees, US territory) to search around any point.
longitude	number	No	Custom longitude paired with the latitude above.
startUrls	array of URL	No	Specific Seamless restaurant URLs to scrape directly.
proxyConfiguration	object	No	Proxy configuration. Defaults to Apify US residential proxies.

Example: pull the top 50 New York City delivery restaurants sorted by rating.

{
    "metros": ["new-york-ny"],
    "maxItems": 50,
    "orderMethod": "delivery",
    "sortBy": "rating"
}

Example: scan Brooklyn, Queens, Jersey City, and Hoboken for pickup-eligible Thai spots, top 100 results.

{
    "metros": ["brooklyn-ny", "queens-ny", "jersey-city-nj", "hoboken-nj"],
    "searchQuery": "thai",
    "orderMethod": "pickup",
    "maxItems": 100
}

⚠️ Good to Know: Seamless blocks non-US traffic at the edge. The Actor enables US residential proxies by default when running on Apify. Some fields (nextOpenAt, nextDeliveryTime) only populate when a restaurant is currently closed; the Actor returns null rather than guessing.

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📊 Output

Each record describes a single Seamless restaurant as a flat JSON object.

🧾 Schema

Field	Type	Example
🖼️ imageUrl	string (URL)	https://media-cdn.grubhub.com/.../ojgna6zu5m6tnhjyhxap.jpg
🏷️ name	string	Mason Jar
🆔 restaurantId	string	298054
🔗 url	string (URL)	https://www.seamless.com/restaurant/mason-jar/298054
🪪 slug	string	mason-jar
🟢 isOpen	boolean	true
🍽️ cuisines	array of string	["American","BBQ","Chicken","Dessert","Sandwiches","Wings"]
⭐ rating	number	4.237
🔢 ratingCount	integer	1213
💲 priceRating	integer (1-4)	3
🚚 deliveryFee	number (USD)	3.5
💰 minDeliveryFee	number (USD)	2.99
🧾 deliveryMinimum	number (USD)	10
⏱️ deliveryEstimateMinutes	integer	35
⬇️ deliveryEstimateLowerMinutes	integer	35
⬆️ deliveryEstimateUpperMinutes	integer	45
🏃 pickupEstimateMinutes	integer	5
📦 availableForDelivery	boolean	true
🏪 availableForPickup	boolean	true
🌊 inundated	boolean	false
📐 distanceInMiles	number	0.27
🛣️ street	string	43 E 30th St
🏙️ city	string	New York
🇺🇸 state	string	NY
📮 zip	string	10016
📍 address	string	43 E 30th St, New York, NY, 10016
🌐 latitude	number	40.744809
🌐 longitude	number	-73.983735
📞 phone	string	+1 2122133587
🎁 offers	array of string	["$15 off - $15 off $100+"]
🎟️ couponsAvailable	boolean	false
🔢 couponsCount	integer	0
🏷️ tags	array of string	["most_ordered","no_fees"]
🎖️ badges	array of string	["restaurant_favorite","most_ordered"]
🆕 newRestaurant	boolean	false
👍 recommended	boolean	false
🔓 nextOpenAt	ISO datetime	2026-05-16T15:00:00.000Z
🛵 nextDeliveryTime	ISO datetime	2026-05-16T15:40:00.000Z
🗺️ searchMetro	string	New York, NY
🧭 searchLatitude	number	40.7484
🧭 searchLongitude	number	-73.9857
🥡 orderMethod	string	delivery
🕒 scrapedAt	ISO datetime	2026-05-16T01:09:32.698Z

📦 Sample records

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✨ Why choose this Actor

🎯	Capability
🔄	Real-time data. Every run hits the live Seamless search index. No nightly snapshots, no stale CSV exports.
💵	Full delivery economics. Delivery fee, minimum order, min-delivery-fee discount baseline, ETAs with min/max range, and distance from the search origin.
🗺️	30 preset US metros. Click-pick from a curated list of Seamless coverage areas, or drop in any US lat/lon for full control.
⭐	Per-restaurant ratings. Precise rating values to three decimals plus the review count so you can weight by sample size.
🎁	Promotional offers extracted. Active discount titles and descriptions surface in a single offers array, ready for filter or display.
🏷️	Cuisine, tag, and badge arrays. Search Seamless taxonomy and merchandising tags exposed as flat arrays, useful for category mix analysis.
🛠️	No API key, no registration. Seamless publishes no public API; this Actor reads the same data the consumer site serves and returns clean JSON.

📊 At launch the Actor covers 30 preset US metros, 20 restaurants per page with full pagination, and 43 typed fields per record including geocoded address, fee economics, and ETAs.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
Paid live restaurant APIs	$$$$ per seat	Multi-platform	Live	Rich UI	Account + license
Legacy community CSV dumps	Free	Partial, dated	Quarterly or stale	None	Manual download
Official site (manual browsing)	Free	Full	Live	Address bar only	Hours of clicking
In-house HTML scrapers	Dev time	Brittle	When you fix them	Whatever you build	Engineering team
⭐ Seamless Food Delivery Scraper (this Actor)	Pay-per-use	30 US metros, full pagination	Live	Typed filters	One JSON input

This Actor sits in the gap between four-figure restaurant-data licenses and brittle one-off HTML scrapers: same data the site publishes, no key, no per-seat fee.

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🚀 How to use

1. 🔐 Create an Apify account. Sign up here if you do not have one yet.
2. 🎯 Open the Actor page. Click the green Try for free button.
3. ✏️ Fill in your filters. Pick one or more metros, optionally add a cuisine keyword, choose a sort order, and set maxItems.
4. ▶️ Run the Actor. Hit Start and watch progress in the log panel as each page of restaurants is parsed.
5. 💾 Export the dataset. Download as JSON, CSV, or Excel, or push directly to a webhook, Google Sheet, or your own pipeline.

⏱️ Total time: under 60 seconds for the first 50 restaurants from one metro. Larger pulls scale linearly with the per-page fetch budget.

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💼 Business use cases

🍱 Food delivery aggregators Build cross-platform price and ETA comparison tools Surface cheaper delivery fees or shorter ETAs to users Power restaurant discovery feeds with fresh inventory Track multi-platform restaurant overlap and gaps	📊 Restaurant market analysts Quantify restaurant supply by metro and cuisine Track new openings, closings, and rating trends Benchmark delivery fees and minimum orders by city Score neighborhoods for retail and real-estate fit
🍔 POS and restaurant tech vendors Feed merchant CRMs with competitor pricing context Surface peer ETAs to set realistic operator targets Enrich sales prospecting with cuisine and rating data Power onboarding flows with pre-filled restaurant profiles	💡 Local business intelligence Map restaurant density and category mix by ZIP code Track Seamless coverage expansion across metros Score commercial corridors with rating-weighted density Feed urban-planning dashboards with delivery indicators

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

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🔌 Automating Seamless Scraper

Run on a schedule, trigger from your own apps, or integrate with a workflow tool.

• Node.js client for triggering runs and reading dataset items from JavaScript and TypeScript
• Python client for the same in Python
• REST API docs for direct HTTP integration

Schedules let you run this Actor every morning, every Monday, or every Friday at 6 PM. Pair a daily run with a webhook into your data warehouse or a Google Sheet to keep your restaurant index fresh without lifting a finger.

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❓ Frequently Asked Questions

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🔌 Integrate with any app

• Zapier - push results to thousands of business apps
• Make - visual workflow automation
• n8n - self-hostable workflow automation
• Airbyte - sync results into your data warehouse
• Google Sheets - dump runs straight into a spreadsheet
• Slack - post notifications when fresh restaurant data arrives

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🔗 Recommended Actors

• 🍔 Grubhub Menu Scraper - pull menus, prices, and item-level details from Grubhub restaurant pages
• 🛒 Costco Product Scraper - scrape Costco product listings, prices, and inventory for retail and grocery analysis
• 🏠 Zillow Rentals Scraper - rental listings for site-selection and neighborhood density work alongside restaurant data
• 🛍️ Ebay Scraper - eBay product listings, pricing, and seller details for marketplace research
• 🏢 Commercial Real Estate Listings Scraper - office and retail leasing data for restaurant-fit retail-corridor analysis

💡 Pro Tip: browse the complete ParseForge collection for more food, retail, and local-business data scrapers.

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🆘 Need Help?

Question, request, or stuck on a filter? Open our contact form and we will respond within one business day.

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⚖️ Disclaimer: This Actor scrapes only public, logged-out Seamless restaurant pages. Seamless.com is operated by Grubhub Inc. and the data it publishes is the same public listing information shown to anyone visiting the site. You are responsible for ensuring your use complies with applicable law and the Seamless terms of use. We are not affiliated with Seamless, Grubhub Inc., Wonder Group, or any related entity.