# Agoda Hotel Scraper (`parseforge/agoda-scraper`) Actor Scrape hotel listings from Agoda.com including prices, ratings, reviews, location, and amenities. Search by city with date and guest filters. Browser-based extraction captures full hotel data. Export structured accommodation data. - **URL**: https://apify.com/parseforge/agoda-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** Travel, Automation, Developer tools - **Stats:** 13 total users, 6 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 ![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true) ## ๐Ÿจ Agoda Hotel Scraper > ๐Ÿš€ **Pull hotel listings from Agoda in minutes.** Names, prices, ratings, reviews, locations, addresses. Worldwide. No login. > ๐Ÿ•’ **Last updated:** 2026-05-09 ยท **๐Ÿ“Š 20+ fields** per hotel ยท **๐ŸŒ Worldwide coverage** ยท **๐Ÿšซ No auth** required
Pull structured records from Agoda โ€” clean fields ready as CSV, JSON, JSONL, Excel, or XML for downstream pipelines.
##### Copy to your AI assistant Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor. ```` parseforge/agoda-scraper on Apify. Call: ApifyClient("TOKEN").actor("parseforge/agoda-scraper").call(run\_input={...}), then client.dataset(run\["defaultDatasetId"]).list\_items().items for results. Key inputs: searchQuery (string, default "Bangkok"), maxItems (integer, default 10), checkIn (string), checkOut (string), adults (integer, default 2), rooms (integer, default 1). Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parseforge~agoda-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations ```` Pull live hotel listings from Agoda.com, one of the largest global hotel-booking platforms with strongest coverage in Asia-Pacific. The actor accepts a city or destination plus check-in/check-out dates and guest count, walks the result pages, and returns one structured record per hotel ready for travel-tech, OTA competitive intelligence, dynamic-pricing analysis, or destination research. Every run fetches data live so you get the current state of Agoda at run time. Records include the hotel name, image, address, neighborhood, rating, review count, star rating, current price (with currency), original price, breakfast-included flag, free-cancellation flag, room type, distance to landmark, and a back-reference URL. | ๐Ÿ‘ฅ Built for | ๐ŸŽฏ Primary use cases | |---|---| | Travel agencies | Build inventory feeds with live hotel pricing | | OTA competitive intel | Compare Agoda prices vs Booking, Hotels.com | | Hotel revenue managers | Monitor competitor pricing in your market | | Travel-tech and apps | Power hotel-discovery features without owning a crawler | | Researchers | Study tourism market dynamics by destination | | Corporate travel | Build approved-hotel lists with current pricing | --- ### ๐Ÿ“‹ What the Agoda Scraper does - ๐Ÿ” **Destination search.** Pass any city, region, or landmark. - ๐Ÿ“… **Date filters.** Check-in and check-out dates (defaults to tomorrow + 1 day). - ๐Ÿ‘ฅ **Guest config.** Number of adults and rooms. - ๐Ÿ’ฐ **Price data.** Current price plus original price where shown. - โญ **Ratings.** Guest rating, star rating, review count. - ๐Ÿจ **Hotel detail.** Name, address, neighborhood, image, room type, breakfast and cancellation flags. The scraper walks Agoda's search results for your destination + date combination, fetches each hotel card, and pushes structured records to the dataset. > ๐Ÿ’ก **Why it matters:** Agoda has the strongest hotel coverage in Asia-Pacific but its UI is paginated and lacks bulk export. A live, structured pull beats manual scraping for OTA competitive intelligence, travel-tech apps, and corporate-travel buying. --- ### ๐ŸŽฌ Full Demo ๐Ÿšง Coming soon: a 3-minute walkthrough showing setup, a live run, and how to pipe results into Google Sheets via Apify integrations. --- ### โš™๏ธ Input | Field | Type | Name | Description | |---|---|---|---| | searchQuery | string | Search Query | City or destination (e.g. Bangkok, Bali, Tokyo). | | maxItems | integer | Max Items | Free users: limited to 10 items (preview). Paid users: optional, max 1,000,000. | | checkIn | string | Check-In Date | YYYY-MM-DD format. Defaults to tomorrow. | | checkOut | string | Check-Out Date | YYYY-MM-DD format. Defaults to day after check-in. | | adults | integer | Adults | Number of adult guests. Default `2`. | | rooms | integer | Rooms | Number of rooms. | Example 1. Bangkok hotels for next weekend. ```json { "searchQuery": "Bangkok", "checkIn": "2026-05-15", "checkOut": "2026-05-17", "adults": 2, "rooms": 1, "maxItems": 50 } ```` Example 2. Family stay in Bali, 4 adults, 2 rooms. ```json { "searchQuery": "Bali", "checkIn": "2026-06-01", "checkOut": "2026-06-08", "adults": 4, "rooms": 2, "maxItems": 100 } ``` > โš ๏ธ **Good to Know:** Agoda's search returns slightly different inventory by date and guest count. Use specific dates for accurate price comparisons. *** ### ๐Ÿ“Š Output The dataset returns one structured record per hotel. Each record carries identifiers, name, image, address, ratings, prices, room type, and a back-reference URL. Consume the dataset as JSON, CSV, Excel, XML, or RSS via the Apify console or API. #### ๐Ÿงพ Schema | Field | Type | Example | |---|---|---| | ๐Ÿ†” hotelId | string | ag-12345678 | | ๐Ÿจ name | string | `Bangkok Marriott Marquis Queen's Park` | | ๐Ÿ–ผ๏ธ imageUrl | string (url) | `https://pix.agoda.net/.../primary.jpg` | | ๐Ÿ  address | string | `199 Sukhumvit Soi 22, Bangkok 10110, Thailand` | | ๐Ÿ˜๏ธ neighborhood | string | Sukhumvit | | โญ rating | number | `8.7` | | ๐Ÿจ starRating | number | `5` | | ๐Ÿ’ฌ reviewCount | number | `12450` | | ๐Ÿ’ฐ price | number | `4250` | | ๐Ÿ’ต originalPrice | number or null | `5500` | | ๐Ÿ’ฑ currency | string | THB | | ๐Ÿ›๏ธ roomType | string | `Deluxe Room, 1 King Bed` | | ๐Ÿฅ breakfastIncluded | boolean | true | | ๐Ÿ”„ freeCancellation | boolean | true | | ๐Ÿ“ distanceToCenter | string | `1.2 km` | | ๐Ÿ”— hotelUrl | string (url) | `https://www.agoda.com/.../hotel/12345678.html` | | ๐Ÿ“… scrapedAt | ISO datetime | `2026-05-09T12:00:00.000Z` | #### ๐Ÿ“ฆ Sample records ##### 1. Typical record (5-star Bangkok hotel) ```json { "hotelId": "ag-12345678", "name": "Bangkok Marriott Marquis Queen's Park", "imageUrl": "https://pix.agoda.net/abc/primary.jpg", "address": "199 Sukhumvit Soi 22, Bangkok 10110, Thailand", "neighborhood": "Sukhumvit", "rating": 8.7, "starRating": 5, "reviewCount": 12450, "price": 4250, "originalPrice": 5500, "currency": "THB", "roomType": "Deluxe Room, 1 King Bed", "breakfastIncluded": true, "freeCancellation": true, "distanceToCenter": "1.2 km", "hotelUrl": "https://www.agoda.com/bangkok-marriott-marquis-queens-park/hotel/12345678.html", "scrapedAt": "2026-05-09T12:00:00.000Z" } ``` ##### 2. Mid-range Bali resort ```json { "hotelId": "ag-22334455", "name": "Seminyak Beach Resort & Spa", "imageUrl": "https://pix.agoda.net/def/primary.jpg", "address": "Jl. Kayu Aya, Seminyak, Bali, Indonesia", "neighborhood": "Seminyak", "rating": 8.3, "starRating": 4, "reviewCount": 4500, "price": 850000, "currency": "IDR", "roomType": "Deluxe Pool View", "breakfastIncluded": true, "freeCancellation": false, "hotelUrl": "https://www.agoda.com/seminyak-beach-resort-spa/hotel/22334455.html", "scrapedAt": "2026-05-09T12:00:00.000Z" } ``` ##### 3. Sparse record (budget hotel) ```json { "hotelId": "ag-99999999", "name": "Budget Inn Bangkok", "address": "Sukhumvit, Bangkok, Thailand", "rating": 6.8, "starRating": 2, "reviewCount": 320, "price": 850, "currency": "THB", "roomType": "Standard Room", "hotelUrl": "https://www.agoda.com/budget-inn-bangkok/hotel/99999999.html", "scrapedAt": "2026-05-09T12:00:00.000Z" } ``` *** ### โœจ Why choose this Actor | | Capability | |---|---| | ๐ŸŽฏ | **Built for the job.** Scoped specifically to Agoda so you skip the parser engineering entirely. | | ๐Ÿ”– | **Structured output.** Clean, typed fields ready for analysis, dashboards, or downstream pipelines. | | โšก | **Fast.** Optimized request patterns return results in seconds, not minutes. | | ๐Ÿ” | **Always fresh.** Every run pulls live data, so the dataset reflects Agoda as of run time. | | ๐ŸŒ | **No infra to manage.** Apify handles proxies, retries, scaling, scheduling, and storage. | | ๐Ÿ›ก๏ธ | **Reliable.** Battle-tested across many runs and edge cases, with graceful error handling. | | ๐Ÿšซ | **No code required.** Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK. | > ๐Ÿ“Š Production-grade structured hotel data without the engineering overhead of building and maintaining your own scraper. *** ### ๐Ÿ“ˆ How it compares to alternatives | Approach | Cost | Coverage | Refresh | Filters | Setup | |---|---|---|---|---|---| | **โญ Agoda Hotel Scraper** *(this Actor)* | $5 free credit, then pay-per-use | Full Agoda catalog | **Live per run** | Destination, dates, guests, rooms | โšก 2 min | | Build your own scraper | Engineering hours | Full once built | Whenever you maintain it | Custom code | ๐Ÿข Days to weeks | | Paid OTA APIs | $$$ monthly | Vendor-defined | Live | Vendor-defined | โณ Hours | | Manual searches | Hours per check | Limited | Stale | Manual | ๐Ÿ•’ Variable | Pick this Actor when you want broad coverage, source-native filtering, and no pipeline maintenance. *** ### ๐Ÿš€ How to use 1. ๐Ÿ“ **Sign up.** [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) (takes 2 minutes). 2. ๐ŸŒ **Open the Actor.** Go to the Agoda Hotel Scraper page on the Apify Store. 3. ๐ŸŽฏ **Set search.** Enter a destination, check-in/check-out dates, and guest config, then set maxItems. 4. ๐Ÿš€ **Run it.** Click **Start** and let the Actor collect your data. 5. ๐Ÿ“ฅ **Download.** Grab your results in the **Dataset** tab as CSV, Excel, JSON, or XML. > โฑ๏ธ Total time from signup to downloaded dataset: **3-5 minutes.** No coding required. *** ### ๐Ÿ’ผ Business use cases
#### ๐Ÿ“Š OTA competitive intel - Compare Agoda prices vs Booking, Hotels.com - Track price gaps across platforms - Build comp sets for revenue management - Surface competitor inventory advantages #### ๐Ÿข Hotel revenue management - Monitor competitor pricing in your market - Build dynamic-pricing models from live data - Track ADR shifts week over week - Identify competitor seasonal patterns
#### ๐ŸŽฏ Travel-tech and apps - Power hotel-discovery features - Build meta-search and price-alert apps - Surface deals and promotions automatically - Power destination-content marketplaces #### ๐Ÿ› ๏ธ Engineering and product - Prototype travel-tech products without owning a crawler - Replace fragile in-house Agoda scrapers - Wire datasets into your apps via the Apify API or webhooks - Skip the proxy, retry, and parsing maintenance entirely
*** ### ๐ŸŒŸ Beyond business use cases Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.
#### ๐ŸŽ“ Research and academia - Empirical datasets for papers, thesis work, and coursework - Longitudinal studies tracking changes across snapshots - Reproducible research with cited, versioned data pulls - Classroom exercises on data analysis and ethical scraping #### ๐ŸŽจ Personal and creative - Side projects, portfolio demos, and indie app launches - Data visualizations, dashboards, and infographics - Content research for bloggers, YouTubers, and podcasters - Hobbyist collections and personal trackers
#### ๐Ÿค Non-profit and civic - Transparency reporting and accountability projects - Advocacy campaigns backed by public-interest data - Community-run databases for local issues - Investigative journalism on public records #### ๐Ÿงช Experimentation - Prototype AI and machine-learning pipelines with real data - Validate product-market hypotheses before engineering spend - Train small domain-specific models on niche corpora - Test dashboard concepts with live input
*** ### ๐Ÿ”Œ Automating Agoda Hotel Scraper This Actor exposes a REST endpoint, so you can drive it from any language or workflow tool. - **Node.js** - call it via the [Apify JS SDK](https://docs.apify.com/sdk/js). - **Python** - call it via the [Apify Python SDK](https://docs.apify.com/sdk/python). - **REST** - hit it directly through the [Apify v2 API](https://docs.apify.com/api/v2). **Schedules.** Use Apify Scheduler to capture daily price snapshots for target destinations. Combine with the Apify dataset diff tools to alert on price changes between runs. *** ### โ“ Frequently Asked Questions
๐Ÿ’ณ Do I need a paid Apify plan to run this actor? No. You can start right now on the free Apify plan, which includes **$5 in monthly credit**. That is enough to run the scraper several times and explore the output. Paid plans unlock higher item caps, more concurrent runs, and larger datasets. [Create a free Apify account here](https://console.apify.com/sign-up?fpr=vmoqkp).
๐Ÿšจ What happens if my run fails or returns no results? Failed runs are not charged. If Agoda changes its DOM, proxies get rate-limited, or your filters match nothing, re-run the actor or open our [contact form](https://tally.so/r/BzdKgA) and we will look into it.
๐Ÿ“ How many items can I scrape per run? Free users are limited to **10 items per run** so you can preview the output. Paid users can raise maxItems up to **1,000,000** per run.
๐Ÿ•’ How fresh is the data? Every run fetches live data at the moment of execution. There is no cache or delay: records reflect what Agoda returned at run time.
๐Ÿง‘โ€๐Ÿ’ป Can I call this actor from my own code? Yes. Apify exposes every actor as a REST endpoint and ships first-class SDKs for [Node.js](https://docs.apify.com/sdk/js) and [Python](https://docs.apify.com/sdk/python). You can start a run, read the dataset, and handle webhooks from your own app in a few lines.
๐Ÿ“ค How do I export the data? Every Apify dataset can be downloaded in one click as CSV, JSON, JSONL, Excel, HTML, XML, or RSS. You can also pull results programmatically via the [Apify API](https://docs.apify.com/api/v2) or stream into BigQuery, S3, and other destinations through built-in integrations.
๐Ÿ“… Can I schedule the actor to run automatically? Yes. Use the Apify scheduler to run the actor on any cadence, from hourly to monthly. Results are saved to your dataset and can be delivered to webhooks, email, Slack, cloud storage, or automation tools such as Zapier and Make.
๐Ÿช Can I use the data commercially? Yes. The scraped data is yours to use in your own internal pipelines, products, and reports, subject to the terms of service of the source site.
๐Ÿ’ผ Which plan should I pick for production use? Apify's Starter and Scale plans are designed for production workloads. Pick the plan that matches your dataset size and refresh cadence.
๐Ÿ› ๏ธ The data I need is not in the output. Can you add it? Most likely yes. Open the [contact form](https://tally.so/r/BzdKgA) and tell us which field you need.
โš–๏ธ Is scraping Agoda legal? This Actor only collects data from publicly accessible Agoda pages, the same content any visitor can read. Public web scraping is generally legal in most jurisdictions for non-personal data, but laws vary by country and use case. You are responsible for compliance with the source site's Terms of Service and applicable law. ***
### ๐Ÿ”Œ Integrate with any app Agoda Hotel Scraper connects to any cloud service via [Apify integrations](https://apify.com/integrations): - [**Make**](https://docs.apify.com/platform/integrations/make) - Automate multi-step workflows - [**Zapier**](https://docs.apify.com/platform/integrations/zapier) - Connect with 5,000+ apps - [**Slack**](https://docs.apify.com/platform/integrations/slack) - Get run notifications in your channels - [**Airbyte**](https://docs.apify.com/platform/integrations/airbyte) - Pipe results into your warehouse - [**GitHub**](https://docs.apify.com/platform/integrations/github) - Trigger runs from commits and releases - [**Google Drive**](https://docs.apify.com/platform/integrations/drive) - Export datasets straight to Sheets You can also use webhooks to trigger downstream actions when a run finishes. *** ### ๐Ÿ”— Recommended Actors - [**๐Ÿจ Booking.com Scraper**](https://apify.com/parseforge/booking-com-scraper) - Booking.com hotel listings - [**๐Ÿจ Hotels.com Scraper**](https://apify.com/parseforge/hotels-com-scraper) - Hotels.com inventory and prices - [**๐Ÿ›๏ธ Airbnb Scraper**](https://apify.com/parseforge/airbnb-scraper) - Short-term rentals with availability - [**๐Ÿ”๏ธ AllTrails Scraper**](https://apify.com/parseforge/alltrails-scraper) - Hiking trail data for travel content - [**๐Ÿฑ Tripadvisor Scraper**](https://apify.com/parseforge/tripadvisor-scraper) - Tripadvisor reviews and ratings > ๐Ÿ’ก **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for more reference-data scrapers. *** **๐Ÿ†˜ Need Help?** [**Open our contact form**](https://tally.so/r/BzdKgA) to request a new scraper, propose a custom project, or report an issue. *** > โš ๏ธ **Disclaimer.** This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Agoda or Booking Holdings. All trademarks mentioned are the property of their respective owners. The scraper accesses only publicly available pages and is intended for legitimate research, analytics, and travel-tech use. Users are responsible for compliance with the source site's Terms of Service and applicable law. # Actor input Schema ## `searchQuery` (type: `string`): City, region, or destination to search for hotels (e.g. Bangkok, Bali, Tokyo). ## `maxItems` (type: `integer`): Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000 ## `checkIn` (type: `string`): Check-in date in YYYY-MM-DD format. Defaults to tomorrow if not set. ## `checkOut` (type: `string`): Check-out date in YYYY-MM-DD format. Defaults to the day after check-in if not set. ## `adults` (type: `integer`): Number of adult guests. ## `rooms` (type: `integer`): Number of rooms. ## `sortBy` (type: `string`): How to sort the search results. ## `proxyConfiguration` (type: `object`): Proxy settings for the scraper. Use Apify proxies or your own. ## Actor input object example ```json { "searchQuery": "Bangkok", "maxItems": 10, "adults": 2, "rooms": 1, "sortBy": "Ranking" } ``` # Actor output Schema ## `results` (type: `string`): Dataset with all scraped items # 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 = { "searchQuery": "Bangkok", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/agoda-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "searchQuery": "Bangkok", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("parseforge/agoda-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchQuery": "Bangkok", "maxItems": 10 }' | apify call parseforge/agoda-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/agoda-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Agoda Hotel Scraper", "description": "Scrape hotel listings from Agoda.com including prices, ratings, reviews, location, and amenities. Search by city with date and guest filters. Browser-based extraction captures full hotel data. Export structured accommodation data.", "version": "1.0", "x-build-id": "gfeg8HL7GFUJaCcnK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~agoda-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-agoda-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~agoda-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-agoda-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~agoda-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-agoda-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQuery": { "title": "Search Query", "type": "string", "description": "City, region, or destination to search for hotels (e.g. Bangkok, Bali, Tokyo)." }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000" }, "checkIn": { "title": "Check-In Date", "type": "string", "description": "Check-in date in YYYY-MM-DD format. Defaults to tomorrow if not set." }, "checkOut": { "title": "Check-Out Date", "type": "string", "description": "Check-out date in YYYY-MM-DD format. Defaults to the day after check-in if not set." }, "adults": { "title": "Adults", "minimum": 1, "maximum": 30, "type": "integer", "description": "Number of adult guests.", "default": 2 }, "rooms": { "title": "Rooms", "minimum": 1, "maximum": 30, "type": "integer", "description": "Number of rooms.", "default": 1 }, "sortBy": { "title": "Sort By", "enum": [ "Ranking", "Price", "AllGuestsReviewScore", "StarRating" ], "type": "string", "description": "How to sort the search results.", "default": "Ranking" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for the scraper. Use Apify proxies or your own." } } }, "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 } } } } } } } } } } ```