# Restaurant Discovery API by City (`quiago/restaurant-discovery-api`) Actor Restaurants by city/country: ratings, reviews count, phone, address, coordinates, price, menu, cuisines, hours, delivery/booking, awards and review snippets. Optional full reviews. - **URL**: https://apify.com/quiago/restaurant-discovery-api.md - **Developed by:** [Carlos Quiala](https://apify.com/quiago) (community) - **Categories:** Lead generation, Automation, Travel - **Stats:** 2 total users, 1 monthly users, 84.2% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 restaurant records This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Restaurant Discovery API by City Get **every restaurant in a city, country or TripAdvisor geo** with the data you actually need — ratings, contact details, location, menus, hours, cuisines, awards and review snippets — plus **optional full reviews**. This is not "just reviews". It's a **restaurant directory + local discovery + review intelligence** dataset, ready for market research, recommendation apps and hospitality lead-gen. ### Why this Actor - 🌍 **Search by name or geoId** — type `Dubai` or `Spain`, or pass an exact `geoId`. - 📦 **Complete records** — 25+ fields per restaurant, consistent nulls, arrays for cuisines / schedule / snippets, numeric coordinates. - 🔁 **Beyond the 10k cap** — large geos are recursively partitioned by facets with global de-duplication, so you get the *full* catalog. - 🎯 **Server-side filters** — `minRating`, `minReviews`, `onlyOpenNow`, `includeSponsored`, applied before optional review enrichment. - 💬 **Optional full reviews** — text, ratings per aspect, owner responses. - 🛡️ **Resilient** — real-browser session warm-up, rate limiting, backoff, session rotation, proxy support. ### Input | Field | Description | |---|---| | `query` | City / country / municipality name (e.g. `Dubai`, `Spain`) | | `geoId` | Exact TripAdvisor geo id (e.g. `295424`) — overrides `query` | | `maxItems` | Cap on restaurants fetched (**default 100**) | | `getAllResults` | Ignore `maxItems` and fetch the **entire** geo (auto-partitions) | | `includeSponsored` | Keep paid listings (default `true`) | | `minRating` | Keep only rating ≥ value (0–5) | | `minReviews` | Keep only with ≥ N reviews | | `onlyOpenNow` | Keep only currently open | | `withReviews` | Also fetch full reviews per restaurant | | `reviewsLimit` | Reviews per restaurant (empty = all) | | `proxyConfiguration` | **Use Apify Residential** (prefilled) | Minimal run: ```json { "query": "Dubai", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` ### Output One item per restaurant in the dataset. Real example (trimmed): ```json { "geo_id": 295424, "location_id": 1062228, "name": "Fish Market", "url": "https://www.tripadvisor.com/Restaurant_Review-g295424-d1062228-Reviews-Fish_Market-Dubai_Emirate_of_Dubai.html", "rating": 4.6, "review_count": 1147, "telephone": "+971 4 205 7033", "full_address": "2nd Floor, Plaza Building, Baniyas Road, Deira, Dubai 0000 United Arab Emirates", "postal_code": "0000", "country": "United Arab Emirates", "parent_geo": "Dubai", "parent_geo_id": 295424, "latitude": 25.265236, "longitude": 55.31004, "price_range": "$$$$", "menu_url": null, "cuisines": ["Seafood"], "establishment_types": ["Restaurants"], "open_status": "OPEN", "open_status_text": "Open now", "has_delivery": null, "has_reservation": null, "is_sponsored": false, "is_premium": false, "award_type": "COE", "award_year": 2025, "thumbnail": "https://dynamic-media-cdn.tripadvisor.com/media/photo-o/23/5d/a7/72/fish-market-restaurant.jpg?w={width}&h={height}&s=1", "schedule": { "mon": [{ "open_time": "12:30:00", "close_time": "23:00:00" }], "tue": "..." }, "review_snippets": [ { "text": "You can pick from a wide variety of fish seabass, snapper, salmon to calamari...", "url": "https://www.tripadvisor.com/ShowUserReviews-g295424-d1062228-r1033153743-Fish_Market-Dubai_Emirate_of_Dubai.html" } ], "reviews": [] } ``` When `withReviews` is enabled, each restaurant's `reviews[]` is filled with real review objects: ```json { "review_id": 939549784, "restaurant_name": "Swiss Butter", "rating": 5, "title": "Amazing!", "text": "The food was delicious and the service was amazing. Everyone was so friendly. Their secret sauce was incredible, i dipped literally everything in it. Can't wait to go back.", "language": "en", "published_date": "2024-02-26", "trip_type": "FRIENDS", "user_name": "Julia Marie C", "user_contributions": 2, "additional_ratings": { "Value": 5, "Service": 5, "Food": 5, "Atmosphere": 5 }, "mgmt_response_text": "Thank you for your feedback💚", "mgmt_response_date": "2024-02-27", "photos": [] } ``` ### Use cases 1. **Market research / BI** — benchmark a city by rating, review volume, cuisine mix, price level and awards. 2. **Recommendation & travel apps** — geo, hours, menus, snippets and delivery / booking signals out of the box. 3. **Hospitality lead-gen** — phone, address, URL and type for outreach or enrichment, filtered by `minReviews` / `minRating`. ### How it works & limitations - A real browser warms the session (solving TripAdvisor's datadome challenge), then fast HTTP pagination reuses that session. - Geos above TripAdvisor's ~10,000 cap are split recursively by facets (neighbourhoods → cuisines → …) and de-duplicated globally. - **Use Apify Residential proxies.** Datacenter IPs are challenged and may return no data. The input prefills the residential group. - `maxItems` caps fetched rows; filters reduce the final count afterwards — raise `maxItems` if you need N rows *after* filtering. - Data comes from TripAdvisor's public pages; use responsibly and in line with applicable terms and local regulations. # Actor input Schema ## `query` (type: `string`): Place name to resolve to a geoId (e.g. "Dubai", "Spain"). Ignored if geoId is set. Defaults to "Dubai" so a zero-config run works. ## `geoId` (type: `integer`): Exact TripAdvisor geo id (e.g. 295424 for Dubai). Takes precedence over the query. ## `maxItems` (type: `integer`): Cap on restaurants fetched (before filtering). Default 100. Ignored when 'Get ALL results' is on. ## `getAllResults` (type: `boolean`): Ignore 'Max restaurants' and fetch the entire geo (auto-partitions geos above TripAdvisor's ~10k cap). Can be large and slow. ## `includeSponsored` (type: `boolean`): Keep paid/sponsored listings mixed with organic ones. ## `minRating` (type: `number`): Keep only restaurants with rating >= this value (0-5). ## `minReviews` (type: `integer`): Keep only restaurants with at least this many reviews. ## `onlyOpenNow` (type: `boolean`): Keep only restaurants currently open. ## `withReviews` (type: `boolean`): Also fetch full reviews per restaurant (slower / more units). ## `reviewsLimit` (type: `integer`): Cap reviews per restaurant. Empty = all reviews. Only used when 'Fetch full reviews' is on. ## `proxyConfiguration` (type: `object`): Strongly recommended: use Apify Residential proxies. Datacenter IPs are challenged by TripAdvisor's anti-bot (datadome). ## Actor input object example ```json { "query": "Dubai", "maxItems": 100, "getAllResults": false, "includeSponsored": true, "onlyOpenNow": false, "withReviews": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `restaurants` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "query": "Dubai", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("quiago/restaurant-discovery-api").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "query": "Dubai", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("quiago/restaurant-discovery-api").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "query": "Dubai", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call quiago/restaurant-discovery-api --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=quiago/restaurant-discovery-api", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Restaurant Discovery API by City", "description": "Restaurants by city/country: ratings, reviews count, phone, address, coordinates, price, menu, cuisines, hours, delivery/booking, awards and review snippets. Optional full reviews.", "version": "0.3", "x-build-id": "z7EfTri0jaTfGfbms" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/quiago~restaurant-discovery-api/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-quiago-restaurant-discovery-api", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/quiago~restaurant-discovery-api/runs": { "post": { "operationId": "runs-sync-quiago-restaurant-discovery-api", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/quiago~restaurant-discovery-api/run-sync": { "post": { "operationId": "run-sync-quiago-restaurant-discovery-api", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "query": { "title": "City / country / municipality", "type": "string", "description": "Place name to resolve to a geoId (e.g. \"Dubai\", \"Spain\"). Ignored if geoId is set. Defaults to \"Dubai\" so a zero-config run works.", "default": "Dubai" }, "geoId": { "title": "TripAdvisor geoId", "type": "integer", "description": "Exact TripAdvisor geo id (e.g. 295424 for Dubai). Takes precedence over the query." }, "maxItems": { "title": "Max restaurants", "minimum": 1, "type": "integer", "description": "Cap on restaurants fetched (before filtering). Default 100. Ignored when 'Get ALL results' is on.", "default": 100 }, "getAllResults": { "title": "Get ALL results", "type": "boolean", "description": "Ignore 'Max restaurants' and fetch the entire geo (auto-partitions geos above TripAdvisor's ~10k cap). Can be large and slow.", "default": false }, "includeSponsored": { "title": "Include sponsored listings", "type": "boolean", "description": "Keep paid/sponsored listings mixed with organic ones.", "default": true }, "minRating": { "title": "Minimum rating", "minimum": 0, "maximum": 5, "type": "number", "description": "Keep only restaurants with rating >= this value (0-5)." }, "minReviews": { "title": "Minimum review count", "minimum": 0, "type": "integer", "description": "Keep only restaurants with at least this many reviews." }, "onlyOpenNow": { "title": "Only open now", "type": "boolean", "description": "Keep only restaurants currently open.", "default": false }, "withReviews": { "title": "Fetch full reviews", "type": "boolean", "description": "Also fetch full reviews per restaurant (slower / more units).", "default": false }, "reviewsLimit": { "title": "Reviews per restaurant", "minimum": 1, "type": "integer", "description": "Cap reviews per restaurant. Empty = all reviews. Only used when 'Fetch full reviews' is on." }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Strongly recommended: use Apify Residential proxies. Datacenter IPs are challenged by TripAdvisor's anti-bot (datadome).", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```