Restaurant Leads Scraper — find restaurants by POS, reservation & delivery tech stack

Get restaurant leads targetable by tech stack — the only scraper that cross-references POS (Toast, Square, Clover), reservation systems (OpenTable, Resy, Tock), online ordering (ChowNow, Olo) and delivery platforms (DoorDash, Uber Eats, Grubhub) in one pass. No competitor does cross-platform stack detection. $5 per 1,000 leads — pay only for results you actually get.

What does it do?

This actor finds restaurants by city using OpenStreetMap, then crawls each restaurant's own website to extract a contact email, social profiles, and — the premium part — which POS system, reservation platform, online-ordering tool, and delivery app it runs. The output is a clean, deduped B2B lead list segmented by tech stack, so you can build a query like "all Toast restaurants in Austin that are NOT on OpenTable" without touching a spreadsheet formula.

Why use it / who's it for

• Restaurant-tech & POS sales reps (Toast, Square, Clover, Lightspeed, TouchBistro, Revel, SpotOn competitors) who need a list of prospects not yet on their platform, or already on a rival's — the classic "switch me" pitch.
• Reservation and online-ordering SaaS teams (OpenTable, Resy, Tock, ChowNow, Olo, BentoBox, Popmenu) prospecting restaurants that have a website but no booking widget installed.
• Delivery platform BD teams (DoorDash, Uber Eats, Grubhub) mapping which restaurants in a market are exclusive to a competitor and open to a second listing.
• Local marketing & web agencies targeting restaurants with weak or missing tech stacks (no reservation system, no online ordering) as a "we can set this up for you" cold-email angle.
• Franchise and market researchers who want a tech-adoption snapshot of a city's restaurant scene by cuisine.

How to use it

1. Enter a location (city + region/country, e.g. "Austin, Texas").
2. Optionally set a cuisine filter (e.g. italian, sushi, mexican) and include/exclude fast food or cafes.
3. Leave crawlEmails on to get emails + tech-stack detection (or turn it off for a faster listing-only run).
4. Optionally filter to onlyWithWebsite or onlyWithEmail to keep the list cold-email-ready.
5. Run it, then export the dataset to CSV, JSON, or Excel and filter by pos_system, reservation_system, online_ordering, or delivery_platforms.

Output fields

Field	Description
name	Restaurant name
cuisine	Cuisine tag (e.g. italian, pizza)
amenity / tourism / shop	Raw OpenStreetMap category tags
address, city, state, postal_code	Parsed street address
phone	Phone number
website	Restaurant's website URL
email	Primary contact email (site or listing)
emails	All emails found while crawling the site
facebook, instagram	Social profile URLs
opening_hours	OpenStreetMap opening hours string
latitude, longitude	Coordinates
pos_system	Detected POS platforms — Toast, Square, Clover, Lightspeed, TouchBistro, Revel, SpotOn
reservation_system	Detected reservation platforms — OpenTable, Resy, Tock, Yelp Reservations, SevenRooms, Tablein
online_ordering	Detected ordering platforms — ChowNow, Olo, Chowly, Slice, Toast Online Ordering, BentoBox, Popmenu
delivery_platforms	Detected delivery platforms — DoorDash, Uber Eats, Grubhub, Seamless, Postmates
tech_signals	Flattened list of every tech signal detected (all of the above combined)
has_email, has_phone, has_website	Boolean flags for quick filtering
osm_type, osm_id, source	Source record reference (OpenStreetMap)

Input example

{
  "location": "Austin, Texas",
  "cuisine": "italian",
  "includeFastFood": false,
  "includeCafes": false,
  "maxItems": 100,
  "crawlEmails": true,
  "onlyWithWebsite": true,
  "onlyWithEmail": false,
  "maxPagesPerSite": 3,
  "concurrency": 8
}

Only location is required — every other field has a sensible default.

How much does it cost?

This actor uses pay-per-event pricing: $0.005 per result ($5 per 1,000 leads), effective 2026-07-16. You're charged only for restaurant leads actually returned — no subscription, no charge for empty runs. New Apify accounts get roughly 1,000 free results per month on the platform's free tier, so you can pull a full mid-size city's restaurant list and test the tech-stack detection before paying anything. A 5,000-lead multi-city pull costs $25; a 20,000-lead national campaign costs $100.

FAQ

Is it legal to scrape restaurant contact and tech-stack data?

Yes. This actor only reads publicly available data: OpenStreetMap listings and restaurants' own public websites (home, contact, about, menu pages). It doesn't log in, bypass paywalls, or access private data. Always follow applicable email-outreach laws (CAN-SPAM, GDPR, etc.) once you use the leads.

How fresh is the data?

Restaurant listings come from live OpenStreetMap queries at run time, and tech-stack signals are detected by crawling each website live during the run — so results reflect what's on the site today, not a cached snapshot. Re-run the actor periodically to catch restaurants that switch POS, reservation, or delivery providers.

How accurate is the tech-stack detection?

Detection is signal-based: the crawler looks for platform-specific script tags, embed domains, and links (e.g. toasttab.com, opentable.com, doordash.com) across a restaurant's site pages. It's highly accurate when a platform is embedded on the site, but restaurants using a tool only in the back office (with no public-facing widget) won't show a signal for it.

Can I filter for restaurants NOT using a specific platform?

Yes — this is the core use case. Run the actor for your target city, export to CSV/JSON, then filter rows where pos_system (or reservation_system / delivery_platforms) does not contain your competitor's name, or contains a rival's. That gives you a ready-to-pitch "switch" list.

Do I need an API key or proxy?

No. Discovery uses OpenStreetMap (Nominatim + Overpass) and enrichment crawls each restaurant's own public website — no API keys, no anti-bot bypass, and it runs fine on datacenter IPs.

Other Flash Scrape lead tools

• Local Business Leads Scraper — any local business category, by city, with website platform detection
• Google Maps Leads Scraper — Google Maps business leads with AI-written cold-email openers
• Company & Domain Enricher — turn a domain list into full company records with tech stack and socials
• Bulk Email Verifier — verify and score every email address before you send a campaign
• Hotel Host Leads Scraper — hotel and hospitality leads with the same enrichment approach