{ "openapi": "3.0.1", "info": { "title": "Canada Restaurant Lead Finder - POS & Delivery Detection", "description": "Enriched Google Maps leads for Canadian restaurants, all 13 provinces. Detects POS (Lightspeed, TouchBistro, Toast), payments (Moneris), delivery (SkipTheDishes, Uber Eats) and reservations. Bilingual EN/FR, Canadian postal codes. 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Combined with each location to form (term × location) tuples. Example: ['restaurants', 'cafe', 'pizza']. Quebec French terms work too ('restaurant', 'cafe', 'brasserie', 'poutine'). Up to 10 terms per run.", "default": [ "restaurants" ], "items": { "type": "string" } }, "locations": { "title": "Locations (Canada)", "maxItems": 25, "type": "array", "description": "Canadian locations to search in. Format: 'City, PROV' (2-letter province code), neighbourhood, or postal FSA. Province codes: AB BC MB NB NL NS NT NU ON PE QC SK YT. Examples: ['Toronto, ON', 'Montreal, QC', 'Vancouver, BC', 'Le Plateau-Mont-Royal', 'M5V']. Up to 25 locations per run.", "default": [ "Toronto, ON" ], "items": { "type": "string" } }, "max_results_per_query": { "title": "Max results per query", "minimum": 1, "maximum": 100, "type": "integer", "description": "Cap on records returned per (term × location) tuple. Hard max 100 to protect compute budget.", "default": 50 }, "enrichment_tier": { "title": "Enrichment tier", "enum": [ "base", "email", "premium" ], "type": "string", "description": "Determines which signals are extracted and which Pay-Per-Event charges apply. base = Maps profile only ($0.005/record). email = + scraped email ($0.010/record). premium = + POS/payment/delivery platform detection + reservation system + service area ($0.020/record). Set 'premium' to enable deep tech-stack detection (incurs additional compute time).", "default": "base" }, "service_lines": { "title": "Restaurant types (optional filter)", "uniqueItems": true, "type": "array", "description": "Restrict output to these restaurant types. Records that don't classify into one of these are dropped before enrichment. Leave empty to allow all.", "items": { "type": "string", "enum": [ "full_service_restaurant", "fast_casual", "qsr", "cafe_bakery", "bar_brewery", "pizzeria", "food_truck", "ghost_kitchen" ] }, "default": [] }, "exclude_chains": { "title": "Exclude national chains", "type": "boolean", "description": "Drop records matching a built-in chain blocklist (Tim Hortons, A&W, Swiss Chalet, St-Hubert, Boston Pizza, Pizza Pizza, La Belle Province, plus McDonald's, Starbucks, Subway and other cross-border chains — 130+ brands). Useful when targeting independents for SaaS sales.", "default": true }, "max_concurrent_enrichments": { "title": "Max concurrent website enrichments", "minimum": 1, "maximum": 8, "type": "integer", "description": "Parallel HTTP fetches against restaurant websites. Lower if you hit rate limits. 4 is safe.", "default": 4 }, "collection": { "title": "Accumulate into a collection (optional)", "type": "string", "description": "Name a persistent collection (e.g. 'toronto-db') to build ONE growing, de-duplicated lead database across many runs. When set, the actor skips restaurants already in this collection (deduped by Google place ID, BEFORE enrichment - so you don't pay to re-scrape them) and appends only NEW leads to a named dataset of the same name. Re-run with the same collection name across cities and search terms to keep growing it with no duplicates. Leave blank for a normal one-off run. Note: accumulate mode adds a per-run surcharge." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } }