# Yelp Reviews Scraper | $3/1K | Real-Time (No Cache) (`apivault_labs/yelp-reviews-scraper`) Actor Scrape Yelp business reviews in real-time — reviewer, rating, text, date. Up to ~20-30 recent reviews per business. - **URL**: https://apify.com/apivault\_labs/yelp-reviews-scraper.md - **Developed by:** [Apivault Labs](https://apify.com/apivault_labs) (community) - **Categories:** Lead generation - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 review extracteds 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 Reviews Scraper | $3/1K | Real-Time, No Login Scrape Yelp business reviews in real-time. Get reviewer name, location, rating, review text, date, photo counts, and helpful-funny-cool reactions. No login, no API key. ### ✨ Key Features - 🔄 Real-time scraping — always fresh reviews - ⭐ Rating, date, full review text - 👤 Reviewer name, location, friends and review count - 📷 Number of photos in each review - 👍 Useful / Funny / Cool reaction counts - 🧲 Auto-deduplication across pages - 🔒 No login, no API key ### Input ```json { "businessUrls": [ "https://www.yelp.com/biz/tartine-bakery-san-francisco" ], "maxPages": 3, "sortBy": "date_desc" } ```` #### How to get a Yelp business URL 1. Open [Yelp](https://www.yelp.com) and find the business 2. Click the business card to open the page 3. Copy the URL — it looks like `https://www.yelp.com/biz/tartine-bakery-san-francisco` #### Input Parameters | Field | Type | Required | Description | |-------|------|----------|-------------| | `businessUrls` | string\[] | ✅ | Yelp business page URLs | | `maxPages` | int | ❌ | Pages per business, 1-5 (default: 3, ~10 reviews per page) | | `sortBy` | string | ❌ | `date_desc` / `date_asc` / `rating_desc` / `rating_asc` / `elites_desc` (default: `date_desc`) | | `extractReviewer` | bool | ❌ | Reviewer name (default: true) | | `extractReviewerLocation` | bool | ❌ | Reviewer location (default: true) | | `extractReviewerStats` | bool | ❌ | Friends + total reviews count (default: true) | | `extractRating` | bool | ❌ | 1-5 star rating (default: true) | | `extractDate` | bool | ❌ | Review date (default: true) | | `extractText` | bool | ❌ | Full review text (default: true) | | `extractPhotosCount` | bool | ❌ | Number of photos attached (default: true) | | `extractReactions` | bool | ❌ | Useful/Funny/Cool counts (default: true) | | `extractBusinessName` | bool | ❌ | Include business slug on each row (default: true) | | `maxConcurrency` | int | ❌ | Parallel page scrapes (default: 2) | | `timeout` | int | ❌ | Timeout per page in seconds (default: 180) | ### Output One dataset row per review: ```json { "success": true, "businessUrl": "https://www.yelp.com/biz/tartine-bakery-san-francisco", "businessSlug": "tartine-bakery-san-francisco", "reviewerName": "Jasmine C.", "reviewerLocation": "San Francisco, CA", "reviewerFriends": "25", "reviewerReviewsCount": "127", "rating": 5, "reviewDate": "05/09/2026", "text": "I've been coming to Tartine for years and it never disappoints...", "photosCount": "2", "usefulCount": "5", "funnyCount": "1", "coolCount": "3" } ``` ### Use Cases - Monitor your restaurant / shop reputation on Yelp - Analyze competitor reviews and ratings - Build datasets for sentiment analysis - Track customer complaints in real time - Gather testimonials for marketing - Local SEO audits ### Pricing - **$0.003 per review** ($3 per 1,000 reviews) - You pay only for unique reviews actually extracted - Duplicates across pages are deduplicated and charged once ### How it works The actor fetches the Yelp business page for each URL with the chosen sort order, paginating through `start=10`, `start=20`, etc. Thunderbit's rendering engine pulls ~10 reviews per page. Duplicates (same reviewer + text) are filtered before pushing to the dataset. ### Important Notes (read before running) - **Yelp limits anonymous access.** Expect roughly **20-30 recent reviews** per business in practice. Not 100+ like on Trustpilot. - **Deeper pagination often returns empty.** `maxPages: 3` is the sweet spot. Requesting 5 pages won't double the results. - **Small or new businesses** may return only 3-5 reviews total. - Reviews returned come directly from Yelp's public pages. No private / hidden reviews. - For maximum coverage combine two runs with different `sortBy` values (e.g. `date_desc` + `elites_desc`) and dedupe in your pipeline. ### Tips - Use `sortBy: date_desc` to capture the latest customer feedback (most useful for monitoring). - Use `sortBy: rating_desc` + `rating_asc` in separate runs to capture the most positive and most negative opinions. - Keep `maxConcurrency: 2` — Yelp is sensitive to concurrent requests. - If you're looking for a high-volume review source with hundreds of reviews per company, consider our **Trustpilot Reviews Scraper** instead. # Actor input Schema ## `businessUrls` (type: `array`): List of Yelp business page URLs (e.g. https://www.yelp.com/biz/tartine-bakery-san-francisco) ## `maxPages` (type: `integer`): How many review pages to attempt per business (each ~10 reviews). Recommended: 2-3. Yelp caps most businesses around 20-30 recent reviews. ## `sortBy` (type: `string`): Which review order to request ## `extractReviewer` (type: `boolean`): Extract reviewer display name ## `extractReviewerLocation` (type: `boolean`): Extract reviewer city / location ## `extractReviewerStats` (type: `boolean`): How many friends and reviews the author has on Yelp ## `extractRating` (type: `boolean`): Extract star rating 1-5 ## `extractDate` (type: `boolean`): Extract review date ## `extractText` (type: `boolean`): Extract review body text ## `extractPhotosCount` (type: `boolean`): How many photos are attached to the review ## `extractReactions` (type: `boolean`): Extract Useful / Funny / Cool reaction counts ## `extractBusinessName` (type: `boolean`): Include business slug on each review row ## `maxConcurrency` (type: `integer`): Parallel page scrapes (recommended: 2) ## `timeout` (type: `integer`): Max wait time per Yelp page ## Actor input object example ```json { "businessUrls": [ "https://www.yelp.com/biz/tartine-bakery-san-francisco" ], "maxPages": 3, "sortBy": "date_desc", "extractReviewer": true, "extractReviewerLocation": true, "extractReviewerStats": true, "extractRating": true, "extractDate": true, "extractText": true, "extractPhotosCount": true, "extractReactions": true, "extractBusinessName": true, "maxConcurrency": 2, "timeout": 180 } ``` # 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 = { "businessUrls": [ "https://www.yelp.com/biz/tartine-bakery-san-francisco" ] }; // Run the Actor and wait for it to finish const run = await client.actor("apivault_labs/yelp-reviews-scraper").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 = { "businessUrls": ["https://www.yelp.com/biz/tartine-bakery-san-francisco"] } # Run the Actor and wait for it to finish run = client.actor("apivault_labs/yelp-reviews-scraper").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 '{ "businessUrls": [ "https://www.yelp.com/biz/tartine-bakery-san-francisco" ] }' | apify call apivault_labs/yelp-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=apivault_labs/yelp-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Yelp Reviews Scraper | $3/1K | Real-Time (No Cache)", "description": "Scrape Yelp business reviews in real-time — reviewer, rating, text, date. Up to ~20-30 recent reviews per business.", "version": "1.0", "x-build-id": "yrQNkVBZXrGDd5gZs" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/apivault_labs~yelp-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-apivault_labs-yelp-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/apivault_labs~yelp-reviews-scraper/runs": { "post": { "operationId": "runs-sync-apivault_labs-yelp-reviews-scraper", "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/apivault_labs~yelp-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-apivault_labs-yelp-reviews-scraper", "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": [ "businessUrls" ], "properties": { "businessUrls": { "title": "Yelp Business URLs", "type": "array", "description": "List of Yelp business page URLs (e.g. https://www.yelp.com/biz/tartine-bakery-san-francisco)", "items": { "type": "string" } }, "maxPages": { "title": "Pages per business", "minimum": 1, "maximum": 5, "type": "integer", "description": "How many review pages to attempt per business (each ~10 reviews). Recommended: 2-3. Yelp caps most businesses around 20-30 recent reviews.", "default": 3 }, "sortBy": { "title": "Sort reviews by", "enum": [ "date_desc", "date_asc", "rating_desc", "rating_asc", "elites_desc" ], "type": "string", "description": "Which review order to request", "default": "date_desc" }, "extractReviewer": { "title": "Reviewer Name", "type": "boolean", "description": "Extract reviewer display name", "default": true }, "extractReviewerLocation": { "title": "Reviewer Location", "type": "boolean", "description": "Extract reviewer city / location", "default": true }, "extractReviewerStats": { "title": "Reviewer Stats (friends, reviews count)", "type": "boolean", "description": "How many friends and reviews the author has on Yelp", "default": true }, "extractRating": { "title": "Rating", "type": "boolean", "description": "Extract star rating 1-5", "default": true }, "extractDate": { "title": "Review Date", "type": "boolean", "description": "Extract review date", "default": true }, "extractText": { "title": "Review Text", "type": "boolean", "description": "Extract review body text", "default": true }, "extractPhotosCount": { "title": "Review Photos Count", "type": "boolean", "description": "How many photos are attached to the review", "default": true }, "extractReactions": { "title": "Useful / Funny / Cool counts", "type": "boolean", "description": "Extract Useful / Funny / Cool reaction counts", "default": true }, "extractBusinessName": { "title": "Business Name", "type": "boolean", "description": "Include business slug on each review row", "default": true }, "maxConcurrency": { "title": "Max Concurrency", "minimum": 1, "maximum": 4, "type": "integer", "description": "Parallel page scrapes (recommended: 2)", "default": 2 }, "timeout": { "title": "Timeout per page (seconds)", "minimum": 60, "maximum": 300, "type": "integer", "description": "Max wait time per Yelp page", "default": 180 } } }, "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 } } } } } } } } } } ```