# Bubble Tea Competitor Price Monitor - Scrape Boba Menus (`kayhermes/bubble-tea-competitor-monitor`) Actor Scrape menus and prices from competitor bubble tea & boba shops. Track drink names, prices, sizes, and categories across multiple stores. Perfect for competitive pricing analysis in the bubble tea industry. - **URL**: https://apify.com/kayhermes/bubble-tea-competitor-monitor.md - **Developed by:** [Khoa Nguyen](https://apify.com/kayhermes) (community) - **Categories:** E-commerce, Lead generation - **Stats:** 2 total users, 1 monthly users, 85.7% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $250.00 / 1,000 shop scrapeds 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 ## 🌊 Bubble Tea Competitor Price Monitor **Scrape menus & prices from competitor bubble tea shops. Built for boba shop owners doing competitive pricing analysis.** Track what your competitors charge for taro milk tea, matcha latte, fruit teas, and more — across Yelp, direct restaurant websites, and online ordering platforms. ### ✨ Features - 🏪 **Multi-shop tracking** — Drop in menus from Kung Fu Tea, Chatime, Gong Cha, Sharetea, local shops, etc. - 💰 **Price extraction** — Automatically detects dollar amounts and price ranges - 🏷️ **Smart categorization** — Auto-tags items as Milk Tea, Fruit Tea, Slush/Smoothie, Coffee, Specialty - 📏 **Size detection** — Flags Small/Medium/Large/Regular from item descriptions - 🔍 **Keyword filtering** — Only extract "taro" items, or "matcha", or whatever you need - 🛡️ **Proxy rotation** — Built-in Apify residential proxies to avoid blocks - 🍜 **Yelp-optimized** — Dedicated handler for Yelp menu pages with lazy-load scrolling ### 📦 Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `startUrls` | array | ✅ Yes | List of competitor menu page URLs | | `maxItemsPerUrl` | integer | No | Max items per shop (default: 100) | | `searchKeywords` | array | No | Filter to only items matching these words | | `proxyConfiguration` | object | No | Proxy settings (defaults to Apify residential) | | `debugMode` | boolean | No | Enable screenshots and verbose logs | #### Example Input ```json { "startUrls": [ { "url": "https://www.yelp.com/menu/kung-fu-tea-madison-heights-madison-heights" }, { "url": "https://www.yelp.com/menu/chatime-troy-troy" }, { "url": "https://order.toasttab.com/online/bambu-troy" } ], "maxItemsPerUrl": 50, "searchKeywords": ["taro", "matcha", "brown sugar", "milk tea"] } ```` ### 📊 Output Each result is pushed to the default dataset as JSON: ```json { "shopName": "Kung Fu Tea - Madison Heights", "itemName": "Taro Milk Tea", "price": 5.25, "size": "Large", "category": "Milk Tea", "description": "Creamy taro blended with fresh milk and tapioca pearls", "scrapedAt": "2026-07-05T14:30:00+00:00", "sourceUrl": "https://www.yelp.com/menu/kung-fu-tea-madison-heights-madison-heights" } ``` Export as JSON, CSV, Excel, XML, or RSS from the Apify Console or API. ### 🎯 Use Cases - **Competitive pricing** — Know when competitors raise or lower prices - **Menu gap analysis** — Find drinks competitors offer that you don't - **Seasonal tracking** — Monitor limited-time and seasonal offerings - **New store research** — Scout a location before opening ### 🚀 How to Run #### Option 1: Apify Console (No setup) 1. Go to the Actor's page on Apify Store 2. Click **Try for free** 3. Paste competitor URLs in the input 4. Hit **Start** #### Option 2: API ```bash curl -X POST "https://api.apify.com/v2/acts/YOUR_USER~bubble-tea-competitor-monitor/runs" \ -H "Authorization: Bearer YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "startUrls": [{"url": "https://www.yelp.com/menu/kung-fu-tea-madison-heights-madison-heights"}], "maxItemsPerUrl": 50 }' ``` #### Option 3: Local Development ```bash pip install apify crawlee[playwright] beautifulsoup4 python -m src.main ``` ### 💵 Pricing **Pay-per-event** — you only pay for what you scrape. | Event | Price | |-------|-------| | Per shop scraped | $0.10–$0.50 (depending on volume) | Free trial credits included for new Apify accounts — no credit card needed. ### 🏗️ Supported Site Types | Site | Detection | Extraction | |------|-----------|------------| | Yelp menu pages | Auto-detected | Optimized handler | | ToastTab / online ordering | HTML menu patterns | Generic handler | | Direct restaurant sites | Content analysis | Generic handler | | JSON-LD structured data | Auto-parsed | Most accurate | ### ⚠️ Limitations - JavaScript-heavy SPAs may return fewer results (we use Playwright, but complex React apps can be tricky) - Some sites block scraping — residential proxies mitigate this but aren't bulletproof - Menu items without clear dollar-sign prices may be missed ### 🛠️ Tech Stack - **Python 3.12** + **Playwright** (headless Chromium) - **Crawlee** for request queuing and proxy rotation - **BeautifulSoup4** + **lxml** for HTML parsing - **Apify SDK** for storage, lifecycle, and platform integration *** Built with ☕ by \[Your Name]. Questions? Open an issue or message on Apify. # Actor input Schema ## `startUrls` (type: `array`): List of competitor menu URLs to scrape ## `maxItemsPerUrl` (type: `integer`): Maximum drink items to extract per competitor URL ## `searchKeywords` (type: `array`): Only extract items containing these keywords (e.g., 'taro', 'matcha', 'milk tea'). Leave empty to get all items. ## `debugMode` (type: `boolean`): Enable to capture screenshots and extended logs ## Actor input object example ```json { "startUrls": [ { "url": "https://www.yelp.com/menu/kung-fu-tea-madison-heights-madison-heights" } ], "maxItemsPerUrl": 100, "searchKeywords": [], "debugMode": false } ``` # 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 = { "startUrls": [ { "url": "https://www.yelp.com/menu/kung-fu-tea-madison-heights-madison-heights" } ], "searchKeywords": [] }; // Run the Actor and wait for it to finish const run = await client.actor("kayhermes/bubble-tea-competitor-monitor").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 = { "startUrls": [{ "url": "https://www.yelp.com/menu/kung-fu-tea-madison-heights-madison-heights" }], "searchKeywords": [], } # Run the Actor and wait for it to finish run = client.actor("kayhermes/bubble-tea-competitor-monitor").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 '{ "startUrls": [ { "url": "https://www.yelp.com/menu/kung-fu-tea-madison-heights-madison-heights" } ], "searchKeywords": [] }' | apify call kayhermes/bubble-tea-competitor-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=kayhermes/bubble-tea-competitor-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bubble Tea Competitor Price Monitor - Scrape Boba Menus", "description": "Scrape menus and prices from competitor bubble tea & boba shops. Track drink names, prices, sizes, and categories across multiple stores. Perfect for competitive pricing analysis in the bubble tea industry.", "version": "1.0", "x-build-id": "GLKJrEhjkVNlgwBQu" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/kayhermes~bubble-tea-competitor-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-kayhermes-bubble-tea-competitor-monitor", "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/kayhermes~bubble-tea-competitor-monitor/runs": { "post": { "operationId": "runs-sync-kayhermes-bubble-tea-competitor-monitor", "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/kayhermes~bubble-tea-competitor-monitor/run-sync": { "post": { "operationId": "run-sync-kayhermes-bubble-tea-competitor-monitor", "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": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "List of competitor menu URLs to scrape", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItemsPerUrl": { "title": "Max Items Per URL", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum drink items to extract per competitor URL", "default": 100 }, "searchKeywords": { "title": "Search Keywords", "type": "array", "description": "Only extract items containing these keywords (e.g., 'taro', 'matcha', 'milk tea'). Leave empty to get all items." }, "debugMode": { "title": "Debug Mode", "type": "boolean", "description": "Enable to capture screenshots and extended logs", "default": false } } }, "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 } } } } } } } } } } ```