# Zomato Restaurants & Reviews Scraper (`abotapi/zomato-scraper`) Actor Scrape restaurants and reviews from zomato.com. Get names, cuisines, ratings and votes, cost for two, address and coordinates, phone, per-vertical ratings, delivery info, plus per-review rating, author, date, text, photos and tags. Search a city feed or paste URLs. - **URL**: https://apify.com/abotapi/zomato-scraper.md - **Developed by:** [Abot API](https://apify.com/abotapi) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 restaurant scrapeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Restaurants & Reviews Scraper Scrape restaurants and their reviews from **zomato.com** — search a city feed or paste URLs, and get clean, structured JSON for every restaurant, including full review text. ### What you get **Per restaurant** - Identity: id, name, canonical URL, thumbnail - Cuisines (list + string), establishment type, locality, city, country, postcode - Ratings: aggregate rating, votes, rating text, and **per-vertical ratings** (Dining / Delivery) with review counts - Cost: cost-for-two text, cost-for-one text - Location: full address, latitude, longitude, static map image - Contact: phone number(s), chain / group name and link - Delivery: estimated delivery time, online-ordering flag, serviceable flag - Status: open/closed, delivery-only, dark-kitchen, promoted, promo offer, has-promo flag **Per review** (core to Zomato) - Rating and rating text - Author, author profile URL, author review count, author follower count - Date, like count, comment count, dining/delivery experience - Full review text, review photos, review tags, review URL ### Modes **Search a city** — pick one or more Zomato city slugs (e.g. `ncr`, `mumbai`, `bangalore`, `dubai`, `london`), choose the **Delivery** or **Dining Out** feed, optionally add a keyword (e.g. `pizza`), and the actor walks the feed forward. **Paste URLs** — paste any mix of: - Restaurant URLs — `https://www.zomato.com/ncr/olive-bar-kitchen-mehrauli-new-delhi` - City feeds — `https://www.zomato.com/ncr/delivery` or `.../dine-out` - Keyword searches — `https://www.zomato.com/ncr/restaurants/pizza` ### Options | Option | What it does | |--------|--------------| | `fetchDetails` | Enrich each restaurant with address, coordinates, phone, per-vertical ratings, taxonomy | | `fetchReviews` | Attach reviews to each restaurant | | `maxReviews` | Cap reviews captured per restaurant (0 disables) | | `reviewsSort` | Popular / Newest / Oldest / Rating high→low / Rating low→high | | `offersOnly` | Narrow the Dining Out feed (and keyword search) to restaurants currently running an offer, using Zomato's own Offers filter. Delivery has no such filter and is unaffected | | `maxItems` | Total restaurants to return (0 = unlimited) | | `maxPages` | Safety cap on feed pages per city/URL | ### Finding a city slug Open the city on zomato.com and read the slug from the URL: `zomato.com/`**`ncr`**`/delivery` → the slug is `ncr`. Use it in the **Cities** field. ### Send results into your apps (MCP connectors) Optionally pipe results straight into the apps you already use via Model Context Protocol (MCP) connectors — Notion, Linear, Airtable, or Apify. Authorize one under **Apify → Settings → API & Integrations**, then select it in the input. Notion gets a page-per-item export; other connectors get a best-effort write. Leave empty to skip. ### Output example ```json { "id": "18685577", "name": "Olive Bar & Kitchen", "url": "https://www.zomato.com/ncr/olive-bar-kitchen-mehrauli-new-delhi", "cuisines": ["Italian", "Mediterranean", "Continental"], "rating": { "aggregate": 4.6, "votes": 3049, "text": "4.6", "subtitle": "Very Good" }, "ratingsByVertical": { "DINING": { "rating": 4.6, "reviewCount": 3049 }, "DELIVERY": { "rating": 4.1, "reviewCount": 1200 } }, "costForTwoText": "₹4,000 for two", "hasPromo": true, "address": "One Style Mile, Kalka Das Marg, Mehrauli, New Delhi", "latitude": 28.5245, "longitude": 77.1855, "phones": ["+911234567890"], "reviews": [ { "rating": 5, "author": "Jatin Kumar", "timestamp": "5 days ago", "text": "Fantastic ambience and food.", "likeCount": 3, "tags": ["Great Ambience"] } ], "reviewsCount": 20 } ```` ### Plan Requirement Runs on any Apify plan. Enable **Apify Proxy** in the input for reliable results. ### Notes - The actor returns publicly visible restaurant and review data. Login-gated fields are not collected. - Zomato is available in several countries; some regional feeds return the richest data when the proxy country matches the city. # Actor input Schema ## `mode` (type: `string`): search = pick a city and feed and walk it. url = paste restaurant, city-feed, or search URLs and walk them. ## `cities` (type: `array`): One or more Zomato city slugs, e.g. ncr, mumbai, bangalore, dubai, london. Find the slug in the site URL: zomato.com//delivery. ## `context` (type: `string`): Which feed to walk in each city. ## `query` (type: `string`): Optional cuisine, dish, or restaurant keyword to narrow the city feed, e.g. pizza, biryani, cafe. ## `offersOnly` (type: `boolean`): Apply Zomato's own Offers filter to narrow the feed to restaurants currently running a dining offer. Only affects the Dining Out feed and keyword search (Delivery has no such filter on Zomato). ## `urls` (type: `array`): Paste restaurant URLs, or city-feed / keyword-search URLs from zomato.com. Multiple URLs supported. ## `fetchDetails` (type: `boolean`): Enrich each restaurant with address, coordinates, phone, per-vertical ratings, and taxonomy from its page. ## `fetchReviews` (type: `boolean`): Attach reviews (rating, author, date, text, photos, tags) to each restaurant. ## `maxReviews` (type: `integer`): Cap on reviews captured per restaurant. 0 disables reviews. ## `reviewsSort` (type: `string`): Order of reviews within each restaurant. ## `maxItems` (type: `integer`): Total restaurants to return across all cities or URLs. 0 = unlimited. ## `maxPages` (type: `integer`): Safety bound on feed pages walked per city or URL. Leave empty or 0 for unlimited. This does NOT cap the number of restaurants; the run still stops at Max restaurants. ## `proxy` (type: `object`): Use Apify Proxy for reliable results. Some regional feeds are served best from the country they belong to. ## `mcpConnectors` (type: `array`): Optionally send results into the apps you already use, via Model Context Protocol (MCP) connectors. Authorize one under Apify then Settings then API & Integrations, then select it here. Notion gets a page-per-item export; other connectors get a best-effort write. Leave empty to skip. Supported: Notion, Linear, Airtable, Apify. ## `notionParentPageUrl` (type: `string`): URL or id of the Notion page under which item pages are created. Required only for the Notion export. ## `maxNotifyListings` (type: `integer`): Cap on items written to each connector per run. Does not affect the dataset. ## Actor input object example ```json { "mode": "search", "cities": [ "ncr" ], "context": "delivery", "offersOnly": false, "urls": [ "https://www.zomato.com/ncr/delivery" ], "fetchDetails": true, "fetchReviews": true, "maxReviews": 20, "reviewsSort": "popular", "maxItems": 20, "proxy": { "useApifyProxy": true }, "maxNotifyListings": 50 } ``` # Actor output Schema ## `overview` (type: `string`): No description # 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 = { "cities": [ "ncr" ], "urls": [ "https://www.zomato.com/ncr/delivery" ], "proxy": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("abotapi/zomato-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 = { "cities": ["ncr"], "urls": ["https://www.zomato.com/ncr/delivery"], "proxy": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("abotapi/zomato-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 '{ "cities": [ "ncr" ], "urls": [ "https://www.zomato.com/ncr/delivery" ], "proxy": { "useApifyProxy": true } }' | apify call abotapi/zomato-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=abotapi/zomato-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Zomato Restaurants & Reviews Scraper", "description": "Scrape restaurants and reviews from zomato.com. Get names, cuisines, ratings and votes, cost for two, address and coordinates, phone, per-vertical ratings, delivery info, plus per-review rating, author, date, text, photos and tags. Search a city feed or paste URLs.", "version": "1.0", "x-build-id": "J6Bbj6TUGkr3ndNRB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/abotapi~zomato-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-abotapi-zomato-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/abotapi~zomato-scraper/runs": { "post": { "operationId": "runs-sync-abotapi-zomato-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/abotapi~zomato-scraper/run-sync": { "post": { "operationId": "run-sync-abotapi-zomato-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "search", "url" ], "type": "string", "description": "search = pick a city and feed and walk it. url = paste restaurant, city-feed, or search URLs and walk them.", "default": "search" }, "cities": { "title": "Cities", "type": "array", "description": "One or more Zomato city slugs, e.g. ncr, mumbai, bangalore, dubai, london. Find the slug in the site URL: zomato.com//delivery.", "items": { "type": "string" } }, "context": { "title": "Feed", "enum": [ "delivery", "dine-out" ], "type": "string", "description": "Which feed to walk in each city.", "default": "delivery" }, "query": { "title": "Keyword (optional)", "type": "string", "description": "Optional cuisine, dish, or restaurant keyword to narrow the city feed, e.g. pizza, biryani, cafe." }, "offersOnly": { "title": "Offers only", "type": "boolean", "description": "Apply Zomato's own Offers filter to narrow the feed to restaurants currently running a dining offer. Only affects the Dining Out feed and keyword search (Delivery has no such filter on Zomato).", "default": false }, "urls": { "title": "URLs", "type": "array", "description": "Paste restaurant URLs, or city-feed / keyword-search URLs from zomato.com. Multiple URLs supported.", "items": { "type": "string" } }, "fetchDetails": { "title": "Fetch full details", "type": "boolean", "description": "Enrich each restaurant with address, coordinates, phone, per-vertical ratings, and taxonomy from its page.", "default": true }, "fetchReviews": { "title": "Fetch reviews", "type": "boolean", "description": "Attach reviews (rating, author, date, text, photos, tags) to each restaurant.", "default": true }, "maxReviews": { "title": "Max reviews per restaurant", "minimum": 0, "maximum": 2000, "type": "integer", "description": "Cap on reviews captured per restaurant. 0 disables reviews.", "default": 20 }, "reviewsSort": { "title": "Reviews sort", "enum": [ "popular", "newest", "oldest", "rating-high", "rating-low" ], "type": "string", "description": "Order of reviews within each restaurant.", "default": "popular" }, "maxItems": { "title": "Max restaurants", "minimum": 0, "type": "integer", "description": "Total restaurants to return across all cities or URLs. 0 = unlimited.", "default": 20 }, "maxPages": { "title": "Max pages per feed", "minimum": 0, "maximum": 500, "type": "integer", "description": "Safety bound on feed pages walked per city or URL. Leave empty or 0 for unlimited. This does NOT cap the number of restaurants; the run still stops at Max restaurants." }, "proxy": { "title": "Proxy", "type": "object", "description": "Use Apify Proxy for reliable results. Some regional feeds are served best from the country they belong to.", "default": { "useApifyProxy": true } }, "mcpConnectors": { "title": "Pipe results into your apps (optional)", "type": "array", "description": "Optionally send results into the apps you already use, via Model Context Protocol (MCP) connectors. Authorize one under Apify then Settings then API & Integrations, then select it here. Notion gets a page-per-item export; other connectors get a best-effort write. Leave empty to skip. Supported: Notion, Linear, Airtable, Apify." }, "notionParentPageUrl": { "title": "Notion parent page (Notion connector only)", "type": "string", "description": "URL or id of the Notion page under which item pages are created. Required only for the Notion export." }, "maxNotifyListings": { "title": "Max items to export per connector", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Cap on items written to each connector per run. Does not affect the dataset.", "default": 50 } } }, "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 } } } } } } } } } } ```