Step 1 — Configure

Pick the signals that mean "could use my product".

No online reservation widget

Detects restaurants taking bookings only by phone — your wedge if you sell reservation, waitlist, or table-management SaaS.

No online ordering

Flags sites without takeaway or delivery checkout — useful for direct-ordering platforms or ghost-kitchen tooling.

No review-management workflow

Surfaces venues with public Google/Tripadvisor reviews but no reply pattern — strong fit for reputation tooling.

No POS / digital menu

Identifies venues still on paper menus or static PDFs — wedge for QR-menu, digital-menu, or POS SaaS.

Step 2 — Discover

Restaurant-segment sources, orchestrated.

Google Maps

Restaurants, cafés, bistros by city with phone, website, opening hours, price tier, and review counts.

TheFork / OpenTable

Aggregator-listed venues that are already booking-curious — but often only via the aggregator, not their own site.

Instagram

Active restaurant pages with bookable-from-bio links or DM-only reservation flows.

Business websites

Crawl menus, hours, booking pages — run absence probes against the actual rendered DOM, not curl-and-grep.

Restaurant-segment questions, answered short.

What's the lead-quality look like on restaurants?

Internal benchmarks: ~92% have a verified business email, ~85% have a phone, ~70% have an Instagram DM path. Independents have higher Instagram-DM responsiveness than chains. The agent surfaces both but the per-lead reasoning shows which is which.

How do I avoid pitching restaurants that already have a booking system?

The 'no online reservation widget' probe runs a headless browser against the restaurant's actual site — so if they embed OpenTable, SevenRooms, or any of the common widgets we detect it and exclude them. False-positive rate on the booking probe is ~4% on internal benchmarks.

Can I segment by cuisine, price tier, or city?

Yes. Configure cuisine keywords ("Italian", "Vietnamese"), Google price tier ($–$$$$), and target cities in your campaign. The Apify actors filter Google Maps to that combination, and the agent enriches each lead with public signals (years in business, recent renovations, average review score).

Are restaurant operators responsive to cold outbound?

Mixed. Independents owned by the operator answer better than chain-managed venues. Email reply rates run 5–8% baseline; Instagram DMs run 10–14% on specific outreach ("saw you don't have a reservation widget yet — here's what we did for [comparable venue]"). The cite-or-discard MessageVerifier is what gets you the specificity.

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Priya NadarHead of GTM, Foldable
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