# Eatigo Restaurants Search Scraper (`stealth_mode/eatigo-restaurants-search-scraper`) Actor Scrape Eatigo.com restaurant search results and collect names, ratings, location, discount tiers, cuisine tags, availability slots, and more. Perfect for food-tech analysts, aggregators, and restaurant intelligence platforms. - **URL**: https://apify.com/stealth\_mode/eatigo-restaurants-search-scraper.md - **Developed by:** [Stealth mode](https://apify.com/stealth_mode) (community) - **Categories:** Automation, Developer tools, Travel - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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. 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 ## Eatigo.com Restaurant Scraper: Extract Search Listings & Discount Data --- ### What Is Eatigo.com? Eatigo is a leading restaurant reservation platform across Southeast Asia, known for its time-based discount model — diners book specific slots to receive discounts of up to 50% or more. The platform hosts thousands of restaurants across cities in Thailand, Singapore, Malaysia, India, and beyond. Collecting restaurant data manually from Eatigo's search results is impractical at scale. The **Eatigo.com Restaurants Search Scraper** automates this, turning paginated search listings into clean, structured records ready for analysis or integration. --- ### Overview This scraper targets Eatigo's search result pages and extracts structured restaurant data per listing. It is suited for: - **Food-tech platforms** building restaurant databases or aggregators - **Market researchers** analyzing dining trends and discount behavior by region - **Business analysts** benchmarking restaurant popularity, pricing, and availability - **Developers** feeding restaurant data into recommendation or booking engines Key features include configurable item limits, resilient URL failure handling, and support for Eatigo's filter-based search URLs. --- ### Input Format ```json { "ignore_url_failures": true, "max_items_per_url": 200, "urls": [ "https://eatigo.com/en/regions/22/search?filter={%22sortby%22:%22popular%22}" ] } ```` | Field | Type | Description | |---|---|---| | `urls` | `array` | URLs of Eatigo restaurant search/listing pages to scrape. Supports filter parameters (e.g., sort by popular, cuisine, area). Add one per line or use bulk edit. | | `max_items_per_url` | `integer` | Maximum number of restaurant records to collect per URL. Default: `20`. Set higher (e.g., `200`) for full-region coverage. | | `ignore_url_failures` | `boolean` | If `true`, the scraper continues running when a URL fails instead of stopping the entire run. Recommended for bulk jobs. Default: `true`. | > **Tip:** You can customize the `filter` parameter in the URL to sort by `popular`, `distance`, `discount`, or filter by cuisine/area. Each unique filter combination can be added as a separate URL. *** ### Output Format **Sample output** ```json { "bid": 3370673815985, "name": "Three on Canton @ Gateway Hotel", "cover_image": "/imgs/branch/cover/Screenshot 2026-04-08 at 11.34.13 AM_68cd7b.jpg", "category_id": 0, "ratings": "4.3", "lat": 22.297756, "lng": 114.168542, "area": "香港", "distance": "", "reservations": "14.9k", "avg_price_range": 3, "is_hot": true, "is_new": false, "is_favorite": false, "has_more_discount": true, "max_discount_tiers_ratio": 50, "slots": [ { "discount": 50, "slot": "2026-05-30 07:00" }, { "discount": 50, "slot": "2026-05-30 07:30" }, { "discount": 30, "slot": "2026-05-30 18:30" }, { "discount": 30, "slot": "2026-05-30 19:00" }, { "discount": 30, "slot": "2026-05-30 19:30" }, { "discount": 50, "slot": "2026-05-31 07:00" }, { "discount": 50, "slot": "2026-05-31 07:30" }, { "discount": 50, "slot": "2026-05-31 12:00" }, { "discount": 30, "slot": "2026-05-31 12:30" }, { "discount": 30, "slot": "2026-05-31 13:00" }, { "discount": 30, "slot": "2026-05-31 13:30" }, { "discount": 50, "slot": "2026-05-31 15:30" }, { "discount": 50, "slot": "2026-05-31 18:30" }, { "discount": 30, "slot": "2026-05-31 19:00" }, { "discount": 30, "slot": "2026-05-31 19:30" }, { "discount": 50, "slot": "2026-06-01 07:00" }, { "discount": 50, "slot": "2026-06-01 07:30" }, { "discount": 50, "slot": "2026-06-01 12:00" }, { "discount": 30, "slot": "2026-06-01 12:30" }, { "discount": 30, "slot": "2026-06-01 13:00" } ], "tags": [ { "id": 12470, "name": "Buffet" }, { "id": 17829, "name": "Group" }, { "id": 17898, "name": "Private Room" }, { "id": 17831, "name": "Kids Friendly" }, { "id": 17836, "name": "Fine Dining" }, { "id": 17838, "name": "Family Gathering" }, { "id": 17839, "name": "Friends Gathering" }, { "id": 17840, "name": "Business Lunch" }, { "id": 17841, "name": "Business Dinner" }, { "id": 17842, "name": "Business" }, { "id": 17843, "name": "Team Meal" }, { "id": 17845, "name": "Special Occasion" }, { "id": 17847, "name": "Birthday Celebration" }, { "id": 17861, "name": "All-You-Can-Eat" }, { "id": 17864, "name": "A La Carte" }, { "id": 17863, "name": "Set Menu" }, { "id": 17851, "name": "Vegetarian" }, { "id": 17857, "name": "Gluten-Free" }, { "id": 17848, "name": "Indulgent" }, { "id": 17849, "name": "Hearty" }, { "id": 17856, "name": "Seafood Lover" }, { "id": 17853, "name": "Kids Meal" }, { "id": 17865, "name": "Mixology" }, { "id": 17871, "name": "Cocktail" }, { "id": 17884, "name": "Award-Winning" }, { "id": 17887, "name": "Visually Appealing" }, { "id": 17889, "name": "Breakfast" }, { "id": 17890, "name": "Brunch" }, { "id": 17891, "name": "Lunch" }, { "id": 17892, "name": "Afternoon Tea" }, { "id": 17893, "name": "Dinner" } ], "cuisine_tags": [ { "id": 12470, "name": "Buffet" } ], "from_url": "https://eatigo.com/en/regions/22/search?filter={%22sortby%22:%22popular%22}" } ``` Each scraped restaurant returns the following fields: #### Identification & Display | Field | Meaning | |---|---| | `BID` | Unique Eatigo business identifier for the restaurant | | `Name` | Restaurant name as shown on the listing | | `Cover Image` | URL of the restaurant's cover photo used in search results | #### Location | Field | Meaning | |---|---| | `Latitude` | Geographic latitude coordinate of the restaurant | | `Longitude` | Geographic longitude coordinate of the restaurant | | `Area` | Named district or neighborhood (e.g., "Sukhumvit", "Silom") | | `Distance` | Distance from the search reference point, typically in kilometers | #### Ratings & Popularity | Field | Meaning | |---|---| | `Ratings` | Aggregate customer rating score for the restaurant | | `Is Hot` | Boolean flag indicating trending or high-demand status | | `Is New` | Boolean flag for recently onboarded restaurants | | `Is Favorite` | Whether the authenticated user has favorited this listing | #### Pricing & Discounts | Field | Meaning | |---|---| | `Average Price Range` | Estimated average spend per person (currency varies by region) | | `Has More Discount` | Whether additional discount tiers are available beyond the default | | `Max Discount Tiers Ratio` | The highest discount ratio available (e.g., `0.5` = 50% off) | #### Availability | Field | Meaning | |---|---| | `Reservations` | Number of reservations or booking activity indicator | | `Slots` | Available booking time slots with associated discount levels | #### Classification | Field | Meaning | |---|---| | `Category ID` | Internal Eatigo category identifier for the restaurant type | | `Tags` | General descriptive tags (e.g., "family-friendly", "rooftop") | | `Cuisine Tags` | Cuisine type labels (e.g., "Japanese", "Thai", "Italian") | *** ### How to Use 1. **Find a search URL** — Go to Eatigo.com, select a region, apply filters (sort, cuisine, area), and copy the resulting URL from the browser. 2. **Paste into `urls`** — Add one or more search URLs to the input array. 3. **Set item limit** — Adjust `max_items_per_url` based on how many results you need. Eatigo typically shows up to a few hundred restaurants per region search. 4. **Run the scraper** — Start the actor and monitor progress in the run log. 5. **Export** — Download results as JSON, CSV, or Excel. **Common issues:** - Ensure URLs include the full `filter` query parameter (URL-encoded). Incomplete URLs may return empty results. - If results seem capped, try splitting searches by area or cuisine filter and combining outputs. *** ### Use Cases & Business Value - **Restaurant aggregators:** Build or enrich a database of Eatigo-listed venues with ratings, cuisine, and location - **Discount analysis:** Track which restaurants offer the highest discount tiers and when slots are available - **Regional market research:** Compare restaurant density, category distribution, and pricing across Eatigo regions - **Competitive intelligence:** Monitor new restaurant onboardings (`Is New`) and trending venues (`Is Hot`) *** ### Conclusion The **Eatigo.com Restaurants Search Scraper** delivers structured, multi-field restaurant data from one of Southeast Asia's most active dining platforms. Whether you're building a food-tech product or conducting market research, this scraper removes the manual effort and gives you actionable data in minutes. # Actor input Schema ## `urls` (type: `array`): Add the URLs of the restaurants list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list. ## `ignore_url_failures` (type: `boolean`): If true, the scraper will continue running even if some URLs fail to be scraped. ## `max_items_per_url` (type: `integer`): The maximum number of items to scrape per URL. ## Actor input object example ```json { "urls": [ "https://eatigo.com/en/regions/22/search?filter={%22sortby%22:%22popular%22}" ], "ignore_url_failures": true, "max_items_per_url": 20 } ``` # 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 = { "urls": [ "https://eatigo.com/en/regions/22/search?filter={%22sortby%22:%22popular%22}" ], "ignore_url_failures": true, "max_items_per_url": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("stealth_mode/eatigo-restaurants-search-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 = { "urls": ["https://eatigo.com/en/regions/22/search?filter={%22sortby%22:%22popular%22}"], "ignore_url_failures": True, "max_items_per_url": 20, } # Run the Actor and wait for it to finish run = client.actor("stealth_mode/eatigo-restaurants-search-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 '{ "urls": [ "https://eatigo.com/en/regions/22/search?filter={%22sortby%22:%22popular%22}" ], "ignore_url_failures": true, "max_items_per_url": 20 }' | apify call stealth_mode/eatigo-restaurants-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=stealth_mode/eatigo-restaurants-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Eatigo Restaurants Search Scraper", "description": "Scrape Eatigo.com restaurant search results and collect names, ratings, location, discount tiers, cuisine tags, availability slots, and more. Perfect for food-tech analysts, aggregators, and restaurant intelligence platforms.", "version": "0.0", "x-build-id": "zKRRwGjhWFlJfDE6N" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/stealth_mode~eatigo-restaurants-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-stealth_mode-eatigo-restaurants-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/stealth_mode~eatigo-restaurants-search-scraper/runs": { "post": { "operationId": "runs-sync-stealth_mode-eatigo-restaurants-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/stealth_mode~eatigo-restaurants-search-scraper/run-sync": { "post": { "operationId": "run-sync-stealth_mode-eatigo-restaurants-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "urls": { "title": "URLs of the restaurants list urls to scrape", "type": "array", "description": "Add the URLs of the restaurants list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.", "items": { "type": "string" } }, "ignore_url_failures": { "title": "Continue running even if some URLs fail to be scraped", "type": "boolean", "description": "If true, the scraper will continue running even if some URLs fail to be scraped." }, "max_items_per_url": { "title": "Max items per URL", "type": "integer", "description": "The maximum number of items to scrape per URL." } } }, "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 } } } } } } } } } } ```