# Zomato Description Scraper (`getdataforme/zomato-description-scraper`) Actor Effortlessly extract comprehensive restaurant data from Zomato, including names, addresses, ratings, menus, and coordinates. Leverages Playwright for reliable scraping, proxy support for stealth, and scalable JSON output.... - **URL**: https://apify.com/getdataforme/zomato-description-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Agents, E-commerce - **Stats:** 5 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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. - **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** — 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 ## Zomato Description Scraper ### Introduction The Zomato Description Scraper is a powerful Apify Actor designed to extract detailed restaurant information from Zomato, India's leading restaurant discovery platform. It automates the collection of comprehensive data including names, addresses, ratings, menus, and more, enabling users to gather insights efficiently without manual browsing. Ideal for businesses, researchers, and developers seeking structured data for analysis or integration. ### Features - **Comprehensive Data Extraction**: Scrapes key details like restaurant names, addresses, coordinates, ratings, cuisines, and contact information from Zomato pages. - **High Reliability**: Utilizes Playwright for robust web scraping, handling dynamic content and ensuring accurate data capture. - **Proxy Support**: Integrates with Apify Proxy for residential IPs, minimizing detection and supporting large-scale scraping. - **Structured Output**: Delivers clean JSON data with consistent schema, perfect for downstream processing or database integration. - **Scalable Performance**: Processes multiple URLs concurrently, with built-in error handling for efficient batch operations. - **Customizable Inputs**: Accepts a list of start URLs, allowing targeted scraping of specific restaurants or regions. - **Real-Time Data**: Captures up-to-date information, including opening hours and ratings, directly from the source. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | startUrls | array | Yes | An array of URLs to start scraping from. Each URL should point to a Zomato restaurant page. | `[{"url": "https://www.zomato.com/mumbai/sunraj-bar-and-restaurant-khar"}]` | | proxyConfiguration | object | No | Configuration for proxy servers to hide the scraper's origin. Defaults to using Apify Proxy with residential groups. | `{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}` | ### Example Usage To run the Actor, provide input parameters in JSON format. Here's an example input: ```json { "startUrls": [ { "url": "https://www.zomato.com/mumbai/sunraj-bar-and-restaurant-khar" } ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ``` Example output in JSON format: ```json [ { "name": "Sunraj Bar And Restaurant", "url": "/mumbai/sunraj-bar-and-restaurant-khar", "restaurantType": "Restaurant", "openingHours": "10:30am – 3:30pm, 5:30pm – 12:30am (Today)", "address": { "streetAddress": "66, Chuim Village, Nargis Dutt Road, Dr. BR Ambedkar Road, Khar, Mumbai", "addressLocality": "Khar, Mumbai", "addressRegion": "Mumbai", "postalCode": null, "addressCountry": "India", "fullAddress": "66, Chuim Village, Nargis Dutt Road, Dr. BR Ambedkar Road, Khar, Mumbai, Khar, Mumbai" }, "coordinates": { "latitude": "19.0737233034", "longitude": "72.8263568133" }, "mapUrl": "https://maps.zomato.com/php/staticmap?center=19.0737233034,72.8263568133&maptype=zomato&markers=19.0737233034,72.8263568133,pin_res32&sensor=false&scale=2&zoom=16&language=en&size=240x150&size=400x240", "menuUrl": "/mumbai/sunraj-bar-and-restaurant-khar/menu", "telephone": "+919769011101", "priceRange": "₹850 for two people (approx.) with alcohol", "paymentAccepted": null, "cuisine": "North Indian", "imageUrl": "https://b.zmtcdn.com/data/reviews_photos/269/85914f06d959ed61557a19bbe38ec269_1542205147.jpg?output-format=webp", "rating": { "ratingValue": "3.9", "ratingCount": 9, "bestRating": 5, "worstRating": null }, "orderAction": { "deliveryMethod": [ "http://purl.org/goodrelations/v1#DeliveryModeOwnFleet" ], "bookingUrl": "/mumbai/sunraj-bar-and-restaurant-khar/book", "platform": [ "http://schema.org/DesktopWebPlatform", "http://schema.org/MobileWebPlatform", "http://schema.org/IOSPlatform", "http://schema.org/AndroidPlatform" ], "language": null }, "sourceUrl": "https://www.zomato.com/mumbai/sunraj-bar-and-restaurant-khar", "scrapedAt": "2025-11-04T08:54:33.420Z" } ] ``` ### Use Cases - **Market Research**: Analyze restaurant trends, cuisines, and pricing in specific cities or regions. - **Competitive Intelligence**: Monitor competitors' ratings, menus, and customer feedback. - **Price Monitoring**: Track price ranges and updates for budgeting or comparison tools. - **Content Aggregation**: Build databases for food blogs, apps, or directories. - **Academic Research**: Study culinary landscapes or consumer preferences in urban areas. - **Business Automation**: Integrate data into CRM systems for targeted marketing or supply chain management. ### Installation and Usage 1. Search for "Zomato Description Scraper" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters (e.g., add start URLs). 4. Click "Start" to begin extraction. 5. Monitor progress in the log. 6. Export results in your preferred format (JSON, CSV, Excel). ### Output Format The Actor outputs an array of JSON objects, each representing a scraped restaurant. Key fields include: `name` (restaurant name), `address` (structured location details), `coordinates` (latitude and longitude), `rating` (value, count, and scale), `cuisine`, `priceRange`, `menuUrl`, and `scrapedAt` (timestamp). Data is sourced directly from Zomato, ensuring freshness and accuracy. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! *** Extract comprehensive restaurant data from Zomato effortlessly! Scrape names, ratings, addresses, menus, and more with high reliability using Playwright. Perfect for market research, competitive analysis, and content aggregation. Start scraping today—try it free on Apify! (148 characters) # Actor input Schema ## `startUrls` (type: `array`): URLs to start with. ## `proxyConfiguration` (type: `object`): Specifies proxy servers that will be used by the scraper in order to hide its origin. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.zomato.com/mumbai/sunraj-bar-and-restaurant-khar" } ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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.zomato.com/mumbai/sunraj-bar-and-restaurant-khar" } ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/zomato-description-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 = { "startUrls": [{ "url": "https://www.zomato.com/mumbai/sunraj-bar-and-restaurant-khar" }], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("getdataforme/zomato-description-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).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.zomato.com/mumbai/sunraj-bar-and-restaurant-khar" } ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call getdataforme/zomato-description-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/zomato-description-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/v22giHS7DDJa76rAh/builds/PF3qpC7uQMvodAt6C/openapi.json