Outdoor seating as a structured field, not a guess.
InBetween records patios, terraces, heated gardens, and covered spaces as first-class attributes, so your product can answer 'somewhere we can sit outside' with confidence.
For products where the weather shapes the plan
One of the most asked questions, and the hardest to answer.
'Can we sit outside?' decides more plans than almost any other question, and it changes with the season: sunny terraces in summer, covered patios in spring, heated gardens when it turns cold.
Most place data buries the answer in review text, if it holds it at all. Teams end up parsing prose, and users end up phoning the venue or gambling on arrival.
InBetween records outdoor spaces as structured attributes: what kind of space it is, whether it is covered or heated, and how to find it. Your product can filter on it as reliably as it filters on cuisine.
What breaks today
- Outdoor details live in review prose, not in queryable fields.
- Category tags cannot distinguish a heated garden from two pavement tables.
- Users leave to verify outdoor space elsewhere, and often do not come back.
What you can ship
- An outdoor filter that returns venues that genuinely have the space.
- Seasonal features that combine weather, diet, vibe, and distance.
- Fewer users leaving your product to double-check the details.
How it works for you
- 01
Offer an outdoor filter users can trust
Filter by patio, terrace, garden, or covered space directly, rather than hoping a category tag implies one.
- 02
Combine it with the rest of the plan
Outdoor seating works alongside dietary needs, atmosphere, budget, and distance in a single request.
- 03
Guide people to the right entrance
Access notes and entrance details help users find the terrace, not just the address.
Built into the broader InBetween platform
This capability sits alongside the rest of our hospitality venue intelligence—so you can combine filters, search, and decision tools in one product surface.
Every venue. Every detail.
Precision metadata for apps that help people meet, eat and drink.
Ultra detailed venue data
Preference driven
Tools for multiple locations. Find restaurants, bars and cafés based on multiple sets of preferences and locations.
Loyal to you
Built for decision-making
Every venue. Every detail.
Precision metadata for apps that help people meet, eat and drink.
Ultra detailed venue data
Preference driven
Tools for multiple locations. Find restaurants, bars and cafés based on multiple sets of preferences and locations.
Loyal to you
Built for decision-making
Outdoor seating, structured
Answer 'can we sit outside?' with confidence.
Open up a new world for your users with InBe's preference-aware venue discovery—built for group venue matching, dietary search, and ranked shortlists.
No card required. Full core API access.
Keep exploring
- capabilitiesFind venues by how they feel.Noise level, lighting, aesthetic, and occasion suitability as structured, queryable attributes for restaurants, bars, and cafés.Read more
- capabilitiesHospitality intelligence done rightDetailed, continuously updated profiles of restaurants, bars, and cafés. One vertical, covered deeply enough to power real matching.Read more
- solutionsThe match is your product. The date is the outcome.Suggest first-date venues that are fair on travel and right for both people: atmosphere, noise, and dietary needs handled in one request.Read more
- solutionsRecommendations that feel like a local made them.Match travellers with restaurants, bars, and cafés on dietary needs, atmosphere, budget, and walking distance, in any city you cover.Read more
Questions teams ask
Built for developers who connect people to places
Connecting users to real-world places shouldn’t mean stitching geocoding, routing, Places search, and ranking yourself. One preference-aware search replaces the pipeline.
Fair middlegrounds
Multi-person locations in one call; we balance travel so you don’t build routing yourself.
Preferences that actually match
Dietary, vibe, good-for, and constraints as first-class inputs, not post-filters on pins.
Pay for the hard parts
Core search and enriched place data stay cheap; you pay where decision intelligence earns its keep.
Tools for user decisions
Ranked shortlists and experience-ready answers so your product keeps users in-flow, not off to a map.
Illustrative scenario
Ranked shortlist in one call
Preference-aware search returns a decision-ready shortlist without stacking Places, routing, and enrichment calls.
curl -X POST https://api.inbe.us/v1/search \
-H "API-Key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"locations": [
{ "lat": 51.523, "lon": -0.158, "label": "Alex" },
{ "lat": 51.493, "lon": -0.098, "label": "Sam" }
],
"mode": { "mode": "POINT", "maxDistance": 750 },
"preferences": {
"goodFor": ["date", "cocktails", "conversation"],
"catersFilters": ["vegetarian"],
"establishmentFilters": ["servesCocktails"]
}
}'Start in minutes with the knolage you can scale without stress.
Generous free usage to evaluate, startup credits to grow, and a migration path when you are ready to switch from stacked Places pipelines.
Start in minutes
No sales call. Sign in, grab a key, and ship a first search.
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£10 of usage every month, full core API, no card required.
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