# Wongnai Restaurants Search Scraper (`stealth_mode/wongnai-restaurants-search-scraper`) Actor Scrape Wongnai.com restaurant listings at scale. Extract 80+ fields per venue including ratings, hours, location, delivery info, deals, photos, and more — perfect for food tech, market research, and hospitality analytics. - **URL**: https://apify.com/stealth\_mode/wongnai-restaurants-search-scraper.md - **Developed by:** [Stealth mode](https://apify.com/stealth_mode) (community) - **Categories:** Automation, Developer tools, Travel - **Stats:** 9 total users, 2 monthly users, 74.1% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 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 ## Wongnai.com Restaurant Scraper: Extract Thailand's Top Dining Data --- ### What Is Wongnai.com? Wongnai is Thailand's largest restaurant discovery and food delivery platform, listing hundreds of thousands of venues across the country — from street food stalls to fine dining. It is a primary source for restaurant ratings, menus, promotions, and location data in the Thai market. Manually collecting this data is impractical at any meaningful scale. The **Wongnai Restaurant Search Scraper** automates extraction from Wongnai's paginated search and category pages, delivering structured records ready for analysis or integration. --- ### Overview The **Wongnai Scraper** targets Wongnai's business listing pages and extracts rich, per-venue records with 80+ fields. Designed for: - **Food tech developers** building restaurant aggregators or recommendation engines - **Market researchers** analyzing Thailand's F&B landscape - **Delivery platforms** seeking competitive intelligence on deals and promos - **Location intelligence teams** mapping dining density and categories Key features: configurable page volume via `max_items_per_url`, fault-tolerant URL handling, and support for domain-filtered and paginated search URLs. --- ### Input Format ```json { "urls": [ "https://www.wongnai.com/businesses?page.size=10&rerank=false&domain=1&page.number=3" ], "max_items_per_url": 200, "ignore_url_failures": true } ```` | Field | Type | Default | Description | |---|---|---|---| | `urls` | array | — | Wongnai business listing/search page URLs to scrape. Add one per line or use bulk edit. Supports paginated URLs via `page.number` and filtered URLs via `domain`. | | `max_items_per_url` | integer | `20` | Maximum number of restaurant records to collect per URL. Increase to `200`+ for larger runs. | | `ignore_url_failures` | boolean | `true` | When `true`, the scraper skips failed URLs and continues rather than stopping the entire run. Recommended for bulk jobs. | > **Tip:** Adjust `page.size` and `page.number` in the URL to paginate through results. Use `domain=1` for restaurants; other domain values may target hotels or attractions. *** ### Output Format **Sample output** ```json { "is_owner": false, "id": 3178329, "eid": null, "gid": "09VySCoPNazmheIwnR2Su2EFtmoBLe", "public_id": "3178329cT", "name_only": { "primary": "Caesa Delicious", "thai": "Caesa Delicious", "english": null }, "branch": { "primary": "สาขา 2", "thai": "สาขา 2", "english": null }, "url": "restaurants/3178329cT-caesa-delicious-%E0%B8%AA%E0%B8%B2%E0%B8%82%E0%B8%B2-2", "short_url": "r/3178329cT", "r_url": "restaurants/3178329cT-caesa-delicious-%E0%B8%AA%E0%B8%B2%E0%B8%82%E0%B8%B2-2", "r_short_url": "r/3178329cT", "photos_url": "restaurants/3178329cT-caesa-delicious-%E0%B8%AA%E0%B8%B2%E0%B8%82%E0%B8%B2-2/photos", "verified_info": false, "verified_location": false, "domain": { "name": "MAIN", "value": 1 }, "lat": 13.662747770781136, "lng": 100.38488985970616, "zipcode": "10150", "price_range": { "name": "101 - 250 บาท", "value": 2 }, "new_business": false, "opening_date": null, "name": "Caesa Delicious สาขา 2", "display_name": "Caesa Delicious สาขา 2", "chain": null, "logo": null, "categories": [ { "id": 35, "name": "สเต๊ก", "international_name": "Steak House", "icon_url": "https://static2.wongnai.com/static/7.91.0/category/common/images/color/35.png", "icon_full_url": "https://static2.wongnai.com/static/7.91.0/category/common/images/color/35.png", "nice_photo": { "photo_id": "21f7ed956f194fcc8c94bb4fbeae33e8", "url": "photos/21f7ed956f194fcc8c94bb4fbeae33e8", "description": "Steak House/Barbeque", "content_url": "https://img.wongnai.com/p/_-x_/deleted/2017/10/05/21f7ed956f194fcc8c94bb4fbeae33e8.jpg", "width": 800, "height": 600, "photo_url": "photos/21f7ed956f194fcc8c94bb4fbeae33e8", "thumbnail_url": null }, "domain": { "name": "MAIN", "value": 1 } }, { "id": 63, "name": "เบอร์เกอร์", "international_name": "Burger", "icon_url": "https://static2.wongnai.com/static/7.91.0/category/common/images/color/63.png", "icon_full_url": "https://static2.wongnai.com/static/7.91.0/category/common/images/color/63.png", "nice_photo": { "photo_id": "ab25bd17f3f14583b690936718406375", "url": "photos/ab25bd17f3f14583b690936718406375", "description": "Burger", "content_url": "https://img.wongnai.com/p/_-x_/2018/10/31/ab25bd17f3f14583b690936718406375.jpg", "width": 1024, "height": 1024, "photo_url": "photos/ab25bd17f3f14583b690936718406375", "thumbnail_url": null }, "domain": { "name": "MAIN", "value": 1 } }, { "id": 5, "name": "อาหารอิตาเลียน", "international_name": "Italian", "icon_url": "https://static2.wongnai.com/static/7.91.0/category/common/images/color/5.png", "icon_full_url": "https://static2.wongnai.com/static/7.91.0/category/common/images/color/5.png", "nice_photo": { "photo_id": "9f42b6c4b0ad412380486792d29d0c28", "url": "photos/9f42b6c4b0ad412380486792d29d0c28", "description": "Italian", "content_url": "https://img.wongnai.com/p/_-x_/2017/11/04/9f42b6c4b0ad412380486792d29d0c28.jpg", "width": 1920, "height": 1920, "photo_url": "photos/9f42b6c4b0ad412380486792d29d0c28", "thumbnail_url": null }, "domain": { "name": "MAIN", "value": 1 } } ], "default_photo": { "photo_id": "3f85dc0478bd49fd90802f0826e8ab6e", "url": "photos/3f85dc0478bd49fd90802f0826e8ab6e", "description": "MENU_3178329cT_1743571611", "content_url": "https://img.wongnai.com/p/_-x_/2025/04/02/3f85dc0478bd49fd90802f0826e8ab6e.jpg", "width": 1900, "height": 887, "photo_url": "photos/3f85dc0478bd49fd90802f0826e8ab6e", "thumbnail_url": null }, "place": null, "place_information": null, "target_view_group_id": 9681, "is_thailand": true, "business_tags": [], "rating": 0, "main_photo": { "photo_id": "76e804bae5364d428a5321ce3adbc396", "url": "photos/76e804bae5364d428a5321ce3adbc396", "description": "restaurantPhoto", "content_url": "https://img.wongnai.com/p/_-x_/2026/03/29/76e804bae5364d428a5321ce3adbc396.jpg", "width": 1920, "height": 1080, "photo_url": "photos/76e804bae5364d428a5321ce3adbc396", "thumbnail_url": null }, "working_hours_status": { "open": false, "message": "จะเปิดในเวลา 11:00", "temporary_close_start_date": null, "temporary_close_end_date": null, "closing_soon": false }, "hours": [ { "day": 1, "from": "11:00", "to": "21:00" }, { "day": 2, "from": "11:00", "to": "21:00" }, { "day": 3, "from": "11:00", "to": "21:00" }, { "day": 5, "from": "11:00", "to": "21:00" }, { "day": 6, "from": "11:00", "to": "21:00" }, { "day": 7, "from": "11:00", "to": "21:00" } ], "official": true, "premium": true, "portrait_mode": true, "portrait_mode_cover_photo": { "photo_id": "a1c94199634c4109980fe1f450555d6f", "url": "photos/a1c94199634c4109980fe1f450555d6f", "description": "Caesa Delicious", "content_url": "https://img.wongnai.com/p/_-x_/2026/05/29/a1c94199634c4109980fe1f450555d6f.jpg", "width": 591, "height": 1280, "photo_url": "photos/a1c94199634c4109980fe1f450555d6f", "thumbnail_url": null }, "featured": true, "featured_id": 7786534, "featured_target": "business", "tracking_ref": "3178329cT", "featured_message": "เพชรเม็ดงามย่านบางบอน อาหารยุโรปเลิศรสในบรรยากาศสุดชิลราคาเป็นมิตรจนตกใจ", "icon_featured": null, "users_choice": null, "statistic": { "number_of_bookmarks": 16, "number_of_photos": 18, "number_of_user_photos": 18, "rating": 0, "number_of_reviews": 2, "show_rating": false, "number_of_ratings": 2, "number_of_videos": 0 }, "video": null, "distance": null, "pickup_information": { "available": true }, "has_preventive_measures": false, "contact": { "address": { "street": "670/1 , ถนนบางบอน 3 บางบอน บางบอน กรุงเทพมหานคร", "hint": "", "sub_district": { "id": 219, "name": "บางบอน" }, "district": { "id": 218, "name": "บางบอน" }, "city": { "id": 1, "name": "กรุงเทพมหานคร" } }, "businessno": null, "homepage": null, "facebook_homepage": null, "email": "nongarh@yahoo.com", "callable_phoneno": "0961103939", "callable_phone_numbers": [ "0961103939" ], "phoneno": "0961103939", "line": null, "instagram": null }, "best_discount_deal": null, "best_selling_deal": null, "closed": false, "completeness": 3, "deals_url": "restaurants/3178329cT-caesa-delicious-%E0%B8%AA%E0%B8%B2%E0%B8%82%E0%B8%B2-2/deals", "move_to_url": null, "neighborhoods": null, "top_favourites": [], "logo_url": null, "ranking": { "rank": 4, "number_of_businesses": 48, "text1": "อันดับ #4 จาก 48", "text2": "ร้านสเต๊ก ในเขตบางบอน", "search_query": { "name": "ร้านสเต๊ก ในเขตบางบอน", "url": "rankings?category=35®ion=218", "path": "rankings", "params": [ { "name": "category", "value": "35", "description": null }, { "name": "region", "value": "218", "description": null } ] } }, "menu": { "texts": { "url": "restaurants/3178329cT-caesa-delicious-%E0%B8%AA%E0%B8%B2%E0%B8%82%E0%B8%B2-2/menu", "number_of_items": 153, "updated_time": { "iso": "2026-05-29T11:56:18+07:00", "full": "ศ., 29 พ.ค. 2026 11:56:18", "time_passed": "13 ชั่วโมงที่แล้ว" }, "groups_url": "restaurants/3178329cT-caesa-delicious-%E0%B8%AA%E0%B8%B2%E0%B8%82%E0%B8%B2-2/menu/groups" }, "photos": null, "previewed_items": null }, "photos": { "page": { "page_information": { "number": 1, "size": 8 }, "first": 1, "last": 8, "total_number_of_pages": 1, "total_number_of_entities": 8, "entities": [ { "photo_id": "3f85dc0478bd49fd90802f0826e8ab6e", "url": "photos/3f85dc0478bd49fd90802f0826e8ab6e", "description": "MENU_3178329cT_1743571611", "content_url": "https://img.wongnai.com/p/_-x_/2025/04/02/3f85dc0478bd49fd90802f0826e8ab6e.jpg", "width": 1900, "height": 887, "photo_url": "photos/3f85dc0478bd49fd90802f0826e8ab6e", "thumbnail_url": null }, { "photo_id": "f88930b17868412db98782d8a847c51f", "url": "photos/f88930b17868412db98782d8a847c51f", "description": "MENU_3178329cT_1743571613", "content_url": "https://img.wongnai.com/p/_-x_/2025/04/02/f88930b17868412db98782d8a847c51f.jpg", "width": 1900, "height": 1653, "photo_url": "photos/f88930b17868412db98782d8a847c51f", "thumbnail_url": null }, { "photo_id": "bb2350570c4a44b5bd7faeeffc271b40", "url": "photos/bb2350570c4a44b5bd7faeeffc271b40", "description": "MENU_3178329cT_1743571615", "content_url": "https://img.wongnai.com/p/_-x_/2025/04/02/bb2350570c4a44b5bd7faeeffc271b40.jpg", "width": 512, "height": 341, "photo_url": "photos/bb2350570c4a44b5bd7faeeffc271b40", "thumbnail_url": null }, { "photo_id": "7aea612d8f0449beb1a69f7f062a0613", "url": "photos/7aea612d8f0449beb1a69f7f062a0613", "description": "MENU_3178329cT_1743571616", "content_url": "https://img.wongnai.com/p/_-x_/2025/04/02/7aea612d8f0449beb1a69f7f062a0613.jpg", "width": 512, "height": 341, "photo_url": "photos/7aea612d8f0449beb1a69f7f062a0613", "thumbnail_url": null }, { "photo_id": "f455dfd859064968a765be7d766c73ef", "url": "photos/f455dfd859064968a765be7d766c73ef", "description": "MENU_3178329cT_1743571629", "content_url": "https://img.wongnai.com/p/_-x_/2025/04/02/f455dfd859064968a765be7d766c73ef.jpg", "width": 880, "height": 1860, "photo_url": "photos/f455dfd859064968a765be7d766c73ef", "thumbnail_url": null }, { "photo_id": "b7a9d8f03bac484faa0ae16430839297", "url": "photos/b7a9d8f03bac484faa0ae16430839297", "description": "MENU_3178329cT_1743571630", "content_url": "https://img.wongnai.com/p/_-x_/2025/04/02/b7a9d8f03bac484faa0ae16430839297.jpg", "width": 1013, "height": 1900, "photo_url": "photos/b7a9d8f03bac484faa0ae16430839297", "thumbnail_url": null }, { "photo_id": "9d85228ee5834db2b50cff218f94f279", "url": "photos/9d85228ee5834db2b50cff218f94f279", "description": "MENU_3178329cT_1743571632", "content_url": "https://img.wongnai.com/p/_-x_/2025/04/02/9d85228ee5834db2b50cff218f94f279.jpg", "width": 239, "height": 512, "photo_url": "photos/9d85228ee5834db2b50cff218f94f279", "thumbnail_url": null }, { "photo_id": "044930ad0dae4d5094622fe31a1f5419", "url": "photos/044930ad0dae4d5094622fe31a1f5419", "description": "MENU_3178329cT_1743571633", "content_url": "https://img.wongnai.com/p/_-x_/2025/04/02/044930ad0dae4d5094622fe31a1f5419.jpg", "width": 512, "height": 384, "photo_url": "photos/044930ad0dae4d5094622fe31a1f5419", "thumbnail_url": null } ] }, "query": { "url": "restaurants/3178329cT-caesa-delicious-%E0%B8%AA%E0%B8%B2%E0%B8%82%E0%B8%B2-2/photos?sort.type=4", "full_url": "https://www.wongnai.com/restaurants/3178329cT-caesa-delicious-%E0%B8%AA%E0%B8%B2%E0%B8%82%E0%B8%B2-2/photos?sort.type=4", "path_only": "restaurants/3178329cT-caesa-delicious-%E0%B8%AA%E0%B8%B2%E0%B8%82%E0%B8%B2-2/photos", "params": [ { "name": "sort.type", "value": "4" } ] } }, "hotel_information": null, "attraction_information": null, "delivery_information": { "delivery": true, "gp": true, "gp_mode": { "name": "REAL", "value": 1 }, "gp_information": { "delivery_base_price": 10, "delivery_price": null, "delivery_base_price_radius": 4000, "delivery_price_max_distance": null }, "eco": true, "in_service_region": true, "in_service_region2": true, "good_for_food_ordering": true, "has_delivery_service": true, "cart_sizes": { "c_a_s_h": 2000, "r_l_p": 10000 }, "delivery_working_hours_status": { "open": false, "message": "จะเปิดในเวลา 11:00" }, "delivery_working_hours": [ { "day": "จันทร์ - อังคาร", "period": [ "11:00 - 21:00" ] }, { "day": "พฤหัสบดี - อาทิตย์", "period": [ "11:00 - 21:00" ] } ] }, "delivery_working_hours": [ { "day": "จันทร์ - อังคาร", "period": [ "11:00 - 21:00" ] }, { "day": "พฤหัสบดี - อาทิตย์", "period": [ "11:00 - 21:00" ] } ], "rms": { "e_payment": true, "accepting_order": false, "using_menu_structure": true, "temporary_closed": true }, "delivery_promos": [], "delivery_promotions": [], "promotion_statistic": { "number_of_visible_vouchers": 0, "number_of_lineman_delivery_promotions": null }, "crm": true, "cloud_kitchen": false, "parent_cloud_kitchen": null, "service_model": { "kitchen_only": false, "kitchen_only_delivery": false, "kitchen_only_pickup": false, "message": null }, "new_to_theme_card": null, "call_to_actions": [ { "type": 2, "title": "เดลิเวอรี", "subtitles": [ "ค่าส่งเริ่มต้น 0 บาท *ภายในระยะทางที่กำหนด" ], "button_title": "สั่ง", "count": 0, "url": "delivery/businesses/3178329cT/order", "deeplink": null, "extra": null }, { "type": 3, "title": "สั่งไว้รับเลย", "subtitles": [ "สั่งล่วงหน้า รับเองที่ร้าน" ], "button_title": "สั่ง", "count": 0, "url": "pickup/businesses/3178329cT/order", "deeplink": null, "extra": null } ], "additional_attributes": { "coke": { "eid": "coke", "value_int": 0, "title": "แคมเปญของโค๊ก", "form_type": 1 } }, "distinct_deals": [], "from_url": "https://www.wongnai.com/businesses?page.size=100&rerank=false&domain=1&page.number=3" } ``` Each restaurant record contains 80+ fields organized across several categories: #### Identity & URLs | Field | Meaning | |---|---| | `ID` / `EID` / `GID` / `Public ID` | Internal platform identifiers across Wongnai's systems | | `Name Only` | Raw restaurant name without branch | | `Branch` | Branch label if applicable (e.g., "Siam Paragon") | | `Name` / `Display Name` | Full display name as shown to users | | `URL` / `Short URL` | Full and shortened links to the restaurant page | | `R URL` / `R Short URL` | Alternate redirect URLs | | `Photos URL` | Link to the restaurant's photo gallery page | | `Deals URL` | URL to available promotions/deals | | `Move To URL` | Redirect target if listing has moved | | `Logo URL` / `Logo` | Logo image URLs | | `Main Photo` / `Default Photo` | Primary listing images | #### Location | Field | Meaning | |---|---| | `Latitude` / `Longitude` | GPS coordinates | | `Zipcode` | Postal code | | `Place` / `Place Information` | District/area metadata | | `Neighborhoods` | Neighborhood tags | | `Is Thailand` | Boolean flag confirming Thailand-based listing | | `Verified Location` | Whether location data has been verified | #### Business Details | Field | Meaning | |---|---| | `Domain` | Business category domain (1 = restaurant) | | `Categories` | Cuisine types and food categories | | `Price Range` | Estimated price tier | | `Rating` | Aggregate user rating score | | `Chain` | Chain/group affiliation if applicable | | `Opening Date` | Date the business was established or listed | | `New Business` | Flag for recently added listings | | `Completeness` | Profile completeness score | | `Is Owner` | Whether listing is claimed by the owner | | `Verified Info` | Whether business info is verified | | `Business Tags` | Descriptive tags (e.g., "Good for Groups") | | `Target View Group ID` | Internal audience targeting metadata | #### Hours & Status | Field | Meaning | |---|---| | `Working Hours Status` | Current open/closed status | | `Hours` | Full weekly operating hours | | `Closed` | Permanent or temporary closure flag | #### Deals & Promotions | Field | Meaning | |---|---| | `Best Discount Deal` | Top available discount promotion | | `Best Selling Deal` | Best-performing/most popular deal | | `Distinct Deals` | All unique active deals | | `Delivery Promos` / `Delivery Promotions` | Delivery-specific promotions | | `Promotion Statistic` | Engagement stats for promotions | #### Delivery & Service | Field | Meaning | |---|---| | `Delivery Information` | Delivery availability and provider details | | `Delivery Working Hours` | Hours when delivery is available | | `Pickup Information` | Pickup option details | | `Service Model` | Dine-in / delivery / takeaway flags | | `Cloud Kitchen` / `Parent Cloud Kitchen` | Whether venue is a virtual/cloud kitchen | #### Media & Content | Field | Meaning | |---|---| | `Photos` | Array of photo objects | | `Video` | Video content if available | | `Menu` | Menu data or menu page reference | | `Portrait Mode` | Whether portrait layout is enabled | | `Portrait Mode Cover Photo` | Cover photo for portrait display | #### Visibility & Ranking | Field | Meaning | |---|---| | `Official` | Official/verified account status | | `Premium` | Premium listing flag | | `Featured` / `Featured ID` / `Featured Target` | Featured placement metadata | | `Featured Message` / `Icon Featured` | Featured display content | | `Users Choice` | "Users' Choice" award flag | | `Ranking` | Position in ranking lists | | `Top Favourites` | Whether included in top favourites lists | | `Statistic` | View/engagement statistics | | `Tracking Ref` | Analytics tracking reference | #### Additional | Field | Meaning | |---|---| | `Contact` | Phone numbers and contact details | | `Hotel Information` | Populated when domain = hotel | | `Attraction Information` | Populated when domain = attraction | | `Has Preventive Measures` | COVID/hygiene measure declaration | | `LTR` | Long-term relevance score | | `CRM` / `WTM` | Internal CRM and platform metadata | | `New To Theme Card` | New listing in thematic collections | | `Call To Actions` | Buttons/actions shown on the listing | | `Additional Attributes` | Miscellaneous structured attributes | | `Distance` | Distance from search origin (if geo-filtered) | *** ### How to Use 1. **Get a listing URL** — Navigate to `wongnai.com/businesses`, apply filters (cuisine, area, domain), then copy the URL from your browser. 2. **Paginate as needed** — Append or modify `page.number=N` to step through pages. Each page typically contains 10–20 listings; set `max_items_per_url` to match your target volume. 3. **Paste into `urls`** — Add one or more URLs to the array. 4. **Run and export** — Download results as JSON, CSV, or Excel. **Tips:** - Use `domain=1` for restaurants; explore other domain values for hotels or attractions. - Increase `page.size` in the URL to collect more listings per page request. - Set `ignore_url_failures: true` for multi-URL runs to avoid interruption from occasional failures. *** ### Use Cases & Business Value - **Restaurant aggregators:** Populate a local food discovery app with live Wongnai data - **Competitive intelligence:** Track pricing, ratings, and promotions across Bangkok neighborhoods - **Delivery analytics:** Map delivery availability and promotion patterns by area - **F\&B market research:** Analyze cuisine category distribution and business density across Thailand *** ### Conclusion The **Wongnai Restaurant Search Scraper** turns Thailand's most comprehensive dining platform into a structured data pipeline. With 80+ fields per venue — from GPS coordinates to delivery promos — it gives food tech teams, analysts, and researchers the raw material to build smarter products and sharper insights. # 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://www.wongnai.com/businesses?page.size=10&rerank=false&domain=1&page.number=3" ], "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://www.wongnai.com/businesses?page.size=10&rerank=false&domain=1&page.number=3" ], "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/wongnai-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://www.wongnai.com/businesses?page.size=10&rerank=false&domain=1&page.number=3"], "ignore_url_failures": True, "max_items_per_url": 20, } # Run the Actor and wait for it to finish run = client.actor("stealth_mode/wongnai-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://www.wongnai.com/businesses?page.size=10&rerank=false&domain=1&page.number=3" ], "ignore_url_failures": true, "max_items_per_url": 20 }' | apify call stealth_mode/wongnai-restaurants-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=stealth_mode/wongnai-restaurants-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Wongnai Restaurants Search Scraper", "description": "Scrape Wongnai.com restaurant listings at scale. Extract 80+ fields per venue including ratings, hours, location, delivery info, deals, photos, and more — perfect for food tech, market research, and hospitality analytics.", "version": "0.0", "x-build-id": "sq6ECGxakCk7kmOJY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/stealth_mode~wongnai-restaurants-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-stealth_mode-wongnai-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/stealth_mode~wongnai-restaurants-search-scraper/runs": { "post": { "operationId": "runs-sync-stealth_mode-wongnai-restaurants-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/stealth_mode~wongnai-restaurants-search-scraper/run-sync": { "post": { "operationId": "run-sync-stealth_mode-wongnai-restaurants-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 } } } } } } } } } } ```