# Zomato Reviews Scraper (`scrapeai/zomato-reviews-scraper`) Actor An advanced, high-speed e-commerce scraper designed for real-time price monitoring and competitor intelligence. Extracts product titles, current pricing, discounts, stock availability, specifications, images, and seller ratings from Zomato. Perfect for inventory tracking, drop-shipping research. - **URL**: https://apify.com/scrapeai/zomato-reviews-scraper.md - **Developed by:** [ScrapeAI](https://apify.com/scrapeai) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 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/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 ## Zomato Reviews Scraper Collect restaurant reviews from Zomato including review text, dining ratings, reviewer details, timestamps, and user engagement metrics. ### Features - **Detailed review extraction** — captures ratings, customer comments, reviewer information, timestamps, and vote metrics - **Built for cloud automation** — supports Apify schedulers, rotating proxies, APIs, and webhooks ### Use Cases - Sentiment and reputation analysis — measure customer satisfaction and brand perception from review data - Service quality comparison — benchmark products and services using real customer experiences - Feedback-driven insights — uncover common user frustrations and requested improvements - Competitor review monitoring — gather intelligence from publicly available customer reviews ### Input ```json { "restaurantUrls": [ "https://www.zomato.com/chennai/dindigul-thalappakatti-since-1957-ramapuram/order" ], "maxReviewsPerRestaurant": 50, "headless": true, "proxyConfiguration": { "useApifyProxy": false, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ```` #### Sample Output ```json { "review_id": 5670611, "status": "success", "message": "message", "review_url": "https://www.zoma.to/KLnEZA", "review_text": "Taste was awesome.. Mutton biriyani and barbecue pepper chicken was tasting good... We took a parcel from this store.. The rice which has been used to make this biryani was the special feature of them...", "review_text_short": "review_text_short", "date": "Nov 18, 2014", "experience_type": "dining", "rating_value": 4.5, "rating_label": "rating_label", "rating_color_hex": "#3f7e00", "rating_color_theme": "green-800", "rating_text": "DINING", "user_id": 1448186, "user_name": "Nirmala Kumar", "user_profile_url": "https://www.zomato.com/users/nirmala-kumar-1448186", "user_profile_pic": "https://b.zmtcdn.com/data/user_profile_pictures/352/a0f50ac4278ae0ece736785e30092352.jpg?fit=around%7C100%3A100&crop=100%3A100%3B%2A%2C%2A", "user_placeholder_pic": "https://b.zmtcdn.com/images/placeholder_200.png?output-format=webp", "user_followers_count": 36, "user_reviews_count": 0, "user_is_followed": false, "positive_tags": [], "negative_tags": [], "like_count": 0, "is_liked_by_user": false, "comment_count": 0, "comments": [], "management_comments": [], "has_more_comments": false, "review_photos": [], "external_url": "external_url", "external_host": "external_host", "external_host_text": "external_host_text", "is_editable": false, "urbanspoon_status": 0, "new_rating_color": "#1C1C1C", "background_color_type": "green", "background_color_tint": "800", "restaurantUrl": "https://www.zomato.com/chennai/dindigul-thalappakatti-since-1957-ramapuram/order", "resId": 67547, "scrapedAt": "2026-05-27T11:09:40.405Z", "source": "zomato" } ``` # Actor input Schema ## `restaurantUrls` (type: `array`): List of Zomato restaurant URLs to scrape reviews from. ## `maxReviewsPerRestaurant` (type: `integer`): Maximum number of reviews to scrape per restaurant. ## `headless` (type: `boolean`): Run browser in headless mode (no visible UI). Set to false for debugging. ## `cookies` (type: `array`): Optional: Provide authentication cookies from a logged-in Zomato session as a JSON array. If not provided, will try to load from COOKIES.json file. Export cookies from your browser using the 'Get cookies.txt LOCALLY' Chrome extension (Export As → JSON format). Each cookie object should include: name, value, domain properties at minimum. ## `proxyConfiguration` (type: `object`): Use Apify Proxy to avoid IP address-based blocking. Required for successful scraping. ## Actor input object example ```json { "restaurantUrls": [ "https://www.zomato.com/chennai/mathsya-t-nagar-t-nagar" ], "maxReviewsPerRestaurant": 20, "headless": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } } ``` # 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 = { "restaurantUrls": [ "https://www.zomato.com/chennai/mathsya-t-nagar-t-nagar" ], "maxReviewsPerRestaurant": 20, "headless": true }; // Run the Actor and wait for it to finish const run = await client.actor("scrapeai/zomato-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 = { "restaurantUrls": ["https://www.zomato.com/chennai/mathsya-t-nagar-t-nagar"], "maxReviewsPerRestaurant": 20, "headless": True, } # Run the Actor and wait for it to finish run = client.actor("scrapeai/zomato-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 '{ "restaurantUrls": [ "https://www.zomato.com/chennai/mathsya-t-nagar-t-nagar" ], "maxReviewsPerRestaurant": 20, "headless": true }' | apify call scrapeai/zomato-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapeai/zomato-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Zomato Reviews Scraper", "description": "An advanced, high-speed e-commerce scraper designed for real-time price monitoring and competitor intelligence. Extracts product titles, current pricing, discounts, stock availability, specifications, images, and seller ratings from Zomato. Perfect for inventory tracking, drop-shipping research.", "version": "1.0", "x-build-id": "svp9IwwdOUyoUhxUL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapeai~zomato-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapeai-zomato-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapeai~zomato-reviews-scraper/runs": { "post": { "operationId": "runs-sync-scrapeai-zomato-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapeai~zomato-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-scrapeai-zomato-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "restaurantUrls" ], "properties": { "restaurantUrls": { "title": "Restaurant URLs", "minItems": 1, "type": "array", "description": "List of Zomato restaurant URLs to scrape reviews from.", "items": { "type": "string" } }, "maxReviewsPerRestaurant": { "title": "Max Reviews Per Restaurant", "minimum": 1, "type": "integer", "description": "Maximum number of reviews to scrape per restaurant.", "default": 20 }, "headless": { "title": "Headless Mode", "type": "boolean", "description": "Run browser in headless mode (no visible UI). Set to false for debugging.", "default": true }, "cookies": { "title": "Cookies (Optional)", "type": "array", "description": "Optional: Provide authentication cookies from a logged-in Zomato session as a JSON array. If not provided, will try to load from COOKIES.json file. Export cookies from your browser using the 'Get cookies.txt LOCALLY' Chrome extension (Export As → JSON format). Each cookie object should include: name, value, domain properties at minimum." }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Use Apify Proxy to avoid IP address-based blocking. Required for successful scraping.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } } } }, "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 } } } } } } } } } } ```