# Yelp Business Details API (`johnvc/yelp-place-api`) Actor Scrape full Yelp business profiles by place ID - name, rating, reviews, price, categories, phone, address, website, hours, amenities, popular dishes, photos, and review highlights. Optional full menu extraction. Batch many businesses per run. - **URL**: https://apify.com/johnvc/yelp-place-api.md - **Developed by:** [John](https://apify.com/johnvc) (community) - **Categories:** Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 4 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $0.01 / 1,000 results 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 ## Yelp Business Details API | Profiles, Hours, Menus & Amenities (MCP-ready) > **Scrape full Yelp business profiles by place ID and get clean JSON back. Name, rating, review count, price, categories, phone, address, website, hours, amenities, popular dishes, photos, and review highlights - plus optional full menu extraction. Batch many businesses per run. MCP-ready for Claude, ChatGPT, Cursor, and other AI agents.** Give the Actor one or more Yelp place IDs and it returns the complete business profile Yelp shows on each business page: name, "about" text, rating and review count, price tier, categories, photos, website, phone, full address and neighborhoods, day-by-day operation hours (including special/holiday hours), the full amenities and features list, popular dishes, review highlights, community Q&A, and health inspection scores. Flip on `full_menu` to pull the structured menu (sections, dishes, descriptions, and prices) instead. This is the **details stage** of a 3-actor Yelp suite. Get place IDs from the **Yelp Search API**, fetch full profiles here, and pull reviews with the **Yelp Reviews API**. Predictable per-business pricing, structured JSON, no browsers or captchas. --- ### What this Actor returns For each place ID, one dataset item containing: - **Core profile** - name, rating, review count, price, categories, `is_claimed`, "about" / history. - **Contact & location** - phone, website, full address, cross streets, neighborhoods, country, directions link. - **Hours** - per-day operation hours with `currently_open` and special/holiday hours. - **Amenities** - the complete features list (delivery, takeout, reservations, accessibility, parking, payments, and more) with active flags. - **Extras** - popular items, review highlights, community questions, health provider score, and photo galleries. - **Full menu** (optional) - when `full_menu` is on, structured menu sections, dishes, and price variations. --- ### Use with Claude, ChatGPT, Cursor & other AI agents (MCP) This Actor is a first-class tool on the [Apify MCP Server](https://docs.apify.com/platform/integrations/mcp). Any MCP-compatible AI agent - Claude (Desktop, Web, Code), ChatGPT, Cursor, VS Code, Cline, Windsurf, Kilo Code, Opencode, Glama - can discover and call it in natural language. **What an AI agent does with this:** > User: *"Get the hours, phone, and amenities for Maman in SoHo."* > > Agent first calls the Yelp Search API to resolve "Maman SoHo" to a place ID, then calls this Actor with `{"place_ids": ["maman-new-york-22"]}` and returns the hours, phone, and amenities. New to Claude? Claude Code and the Claude desktop app (which runs Cowork) both come with a free trial: https://claude.ai/referral/uIlpa7nPLg #### Quick setup - Claude Desktop Add this to `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) or `%APPDATA%\Claude\claude_desktop_config.json` (Windows): ```json { "mcpServers": { "apify": { "command": "npx", "args": ["-y", "@apify/actors-mcp-server"], "env": { "APIFY_TOKEN": "YOUR_APIFY_API_TOKEN" } } } } ```` Restart Claude Desktop, then ask something like *"Pull the full menu for this Yelp restaurant."* #### Quick setup - Cursor / VS Code / Cline / Windsurf These editors support **dynamic tool discovery**, so after the first call this Actor is registered as a named tool for the rest of the session. Point your MCP client at: ``` https://mcp.apify.com ``` …with header `Authorization: Bearer YOUR_APIFY_API_TOKEN`. Full setup: [Apify MCP integration docs](https://docs.apify.com/platform/integrations/mcp). #### Quick setup - ChatGPT (and other static MCP clients) ChatGPT, Gemini CLI, and Amazon Q connect through the same `https://mcp.apify.com` endpoint and call this Actor via the generic `call-actor` tool. *** ### Use cases - **Enrich a lead list** - take place IDs from a Yelp search and add phone, website, hours, and amenities to each business. - **Menu intelligence** - pull structured menus and prices across a set of restaurants. - **Competitor profiles** - track rating, review count, price tier, and amenities for competitors over time. - **Local data pipelines** - build a clean business dataset for a category or market. *** ### Input parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `place_ids` | array of strings | **Yes** | - | Yelp place IDs or aliases (e.g. `maman-new-york-22`). One profile per ID. Get IDs from the Yelp Search API. | | `full_menu` | boolean | No | `false` | Fetch the structured full menu instead of the standard profile. | | `menu_name` | string | No | - | Which menu to scrape when a business has more than one (used with `full_menu`). | | `business_alert` | boolean | No | `false` | Include the business alert message (e.g. "closed") when present. | | `yelp_domain` | string | No | `yelp.com` | Regional Yelp domain. | *** ### Example output (one item per place ID) ```json { "place_id": "maman-new-york-22", "result_timestamp": "2026-05-26T10:30:00.123456", "place_results": { "name": "Maman", "place_ids": ["DE0ROwygh-86i4s-WLp8wQ", "maman-new-york-22"], "rating": 3.9, "reviews": 847, "price": "$$", "categories": [{ "title": "Coffee & Tea" }, { "title": "Bakeries" }], "website": "https://www.mamannyc.com", "phone": "(212) 226-0700", "address": "239 Centre St New York, NY 10013", "neighborhoods": ["Little Italy", "SoHo"], "operation_hours": { "hours": [{ "day": "Mon", "hours": "7:30 AM - 6:00 PM" }] }, "features": [{ "title": "Offers Delivery", "is_active": true }], "popular_items": [{ "title": "Almond Croissant", "reviews": 28 }] }, "full_menu_results": null, "menu_requested": false, "menu_returned": false } ``` *** ### Pricing This Actor uses transparent **pay-per-event** pricing: | Event | Price | When | |-------|-------|------| | Setup | $0.02 | Once per run | | Place processed | $0.02 | Per business profile fetched | Looking up 1 business costs about **$0.04**; looking up 10 in one run costs about **$0.22**. *** ### How to get started 1. Open the Actor on the [Apify Store](https://apify.com/johnvc/yelp-place-api). 2. Paste one or more Yelp place IDs into `place_ids`, optionally enable `full_menu`, and click **Start**. 3. Read results from the dataset (JSON, CSV, Excel) or via the [Apify API](https://docs.apify.com/api/v2). *** ### Code example (Python + MCP) Want a runnable quick-start? The public example repo has a Python (uv) script plus MCP install guides for Claude (Desktop, Code, Web) and Cursor: **[github.com/johnisanerd/Apify-Yelp-API](https://github.com/johnisanerd/Apify-Yelp-API)** It shows how the Yelp Search, Business Details, and Reviews APIs chain together - a search returns the `place_ids` that feed the other two. ### FAQ / Troubleshooting - **Where do place IDs come from?** From the Yelp Search API - every listing includes a `place_ids` array. Use either the encoded ID or the alias. - **I asked for the full menu but got a profile instead.** That business has no menu page on Yelp. The output sets `menu_returned: false` and returns the standard profile so you still get data. - **Can I look up many businesses at once?** Yes - pass an array of place IDs. Each is billed as one `place_processed` event. - **Is this reliable?** Yes - it calls a structured data API, not a headless browser, so there are no captchas or layout breakages. Learn more about the [Apify MCP integration](https://docs.apify.com/platform/integrations/mcp). Last Updated: 2026.05.29 # Actor input Schema ## `place_ids` (type: `array`): List the Yelp place IDs or aliases to look up. Each entry can be the encoded ID (e.g. 'DE0ROwygh-86i4s-WLp8wQ') or the human-readable alias (e.g. 'maman-new-york-22'). Both forms appear in the place\_ids array of every Yelp Search API result. One business profile is returned per ID. ## `full_menu` (type: `boolean`): Set true to scrape the business full menu (sections, dishes, descriptions, prices) instead of the standard profile. If a business has no menu page, the standard profile is returned instead and flagged in the output. Defaults to false. ## `menu_name` (type: `string`): Choose which menu to scrape when a business offers more than one (e.g. 'Dinner Menu'). Only used together with Fetch Full Menu. Optional. ## `business_alert` (type: `boolean`): Set true to include the business alert message when present (e.g. 'Yelpers report this location has closed.'). Defaults to false. ## `yelp_domain` (type: `string`): Choose which regional Yelp domain to query (e.g. 'yelp.com', 'yelp.co.uk', 'yelp.fr'). Defaults to 'yelp.com'. Optional. ## Actor input object example ```json { "place_ids": [ "maman-new-york-22" ], "full_menu": false, "business_alert": false, "yelp_domain": "yelp.com" } ``` # Actor output Schema ## `allResults` (type: `string`): Complete dataset with every business profile returned by the run. Each item contains place\_results (or full\_menu\_results) for one place ID. ## `businessProfiles` (type: `string`): Filtered view focused on the business profile and full menu for each requested place ID. # 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 = { "place_ids": [ "maman-new-york-22" ], "yelp_domain": "yelp.com" }; // Run the Actor and wait for it to finish const run = await client.actor("johnvc/yelp-place-api").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "place_ids": ["maman-new-york-22"], "yelp_domain": "yelp.com", } # Run the Actor and wait for it to finish run = client.actor("johnvc/yelp-place-api").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "place_ids": [ "maman-new-york-22" ], "yelp_domain": "yelp.com" }' | apify call johnvc/yelp-place-api --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=johnvc/yelp-place-api", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Yelp Business Details API", "description": "Scrape full Yelp business profiles by place ID - name, rating, reviews, price, categories, phone, address, website, hours, amenities, popular dishes, photos, and review highlights. Optional full menu extraction. Batch many businesses per run.", "version": "0.0", "x-build-id": "I7F3fnw1R1mzzsH4m" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/johnvc~yelp-place-api/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-johnvc-yelp-place-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/johnvc~yelp-place-api/runs": { "post": { "operationId": "runs-sync-johnvc-yelp-place-api", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/johnvc~yelp-place-api/run-sync": { "post": { "operationId": "run-sync-johnvc-yelp-place-api", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "place_ids" ], "properties": { "place_ids": { "title": "Place IDs", "minItems": 1, "type": "array", "description": "List the Yelp place IDs or aliases to look up. Each entry can be the encoded ID (e.g. 'DE0ROwygh-86i4s-WLp8wQ') or the human-readable alias (e.g. 'maman-new-york-22'). Both forms appear in the place_ids array of every Yelp Search API result. One business profile is returned per ID.", "items": { "type": "string" } }, "full_menu": { "title": "Fetch Full Menu", "type": "boolean", "description": "Set true to scrape the business full menu (sections, dishes, descriptions, prices) instead of the standard profile. If a business has no menu page, the standard profile is returned instead and flagged in the output. Defaults to false.", "default": false }, "menu_name": { "title": "Menu Name", "type": "string", "description": "Choose which menu to scrape when a business offers more than one (e.g. 'Dinner Menu'). Only used together with Fetch Full Menu. Optional." }, "business_alert": { "title": "Include Business Alert", "type": "boolean", "description": "Set true to include the business alert message when present (e.g. 'Yelpers report this location has closed.'). Defaults to false.", "default": false }, "yelp_domain": { "title": "Yelp Domain", "type": "string", "description": "Choose which regional Yelp domain to query (e.g. 'yelp.com', 'yelp.co.uk', 'yelp.fr'). Defaults to 'yelp.com'. Optional." } } }, "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 } } } } } } } } } } ```