# Airbnb Services Scraper - Low-costπŸ’²πŸ”₯🏠 (`delectable_incubator/airbnb-services-scraper---low-cost`) Actor Scrape Airbnb service listings easily πŸ”ŽπŸ  by providing search URLs. Extract service titles, ratings, reviews count, starting prices, and URLs. Ideal for marketplace research, pricing analysis, and Airbnb service insights with fast, structured datasets at scale πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/airbnb-services-scraper---low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Travel, Real estate, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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

Airbnb Services Scraper - PrimeScrape

--- ### Airbnb Services Scraper πŸ‘πŸ”ŽπŸ“Š The Airbnb Services Scraper is a fast, reliable, and scalable automation tool designed to extract structured service listing data directly from Airbnb Services pages. It transforms raw marketplace listings into clean, structured datasets ready for analytics, pricing intelligence, lead generation, and market research. --- ### Airbnb Services Scraper πŸ πŸ“ŠπŸŒ This scraper automatically extracts structured data from Airbnb Services search result pages using one or multiple URLs. Ideal for analysts, founders, marketers, and data professionals looking to understand service marketplaces. --- ### 🎯 What This Scraper Does Simply provide one or multiple Airbnb Services search URLs, and the scraper will automatically collect structured service data. βœ… Extracts service listings from Airbnb Services marketplace βœ… Supports multiple search URLs βœ… Automatically scrolls and loads more results βœ… Respects maxitems limits per URL βœ… Cleans and structures service data βœ… Captures pricing, ratings, and metadata βœ… Ready for analytics and integrations --- ### πŸ“Š Data Extracted 🧾 Service Fields | Field | Description | | -------------------- | ------------------------------------------ | | πŸ†” `service_id` | Unique Airbnb service identifier | | 🏷 `title` | Service title | | πŸ“„ `subtitle` | Service category or description | | ⭐ `rating` | Average rating (out of 5) | | πŸ’¬ `reviews_count` | Number of reviews | | πŸ’° `price_from` | Starting price | | πŸ’² `price_original` | Original price (if discounted) | | πŸ“¦ `price_unit` | Price unit (per person, per service, etc.) | | πŸ“‰ `minimum_booking` | Minimum booking price | | πŸ–Ό `image_url` | Service image | | πŸ”— `service_url` | Direct service page | --- ### πŸ›  How to Use 1️⃣ Configure Input Provide Airbnb service URLs or IDs: ```` { "urls": \[ "https://www.airbnb.com/s/London--UK/services", "https://www.airbnb.com/s/New-York-City--New-York--United-States/services" ], "maxitems": 50 } ``` 2️⃣ Run the Actor The scraper will: β€’ Load Airbnb Services pages β€’ Scroll and collect listings β€’ Extract structured service data β€’ Respect maxitems limits β€’ Process each URL independently 3️⃣ Export the Dataset Download your results in multiple formats: βœ… JSON βœ… CSV βœ… Excel βœ… XML βœ… HTML --- ### βš™οΈ Input Configuration #### πŸ“₯ Input Example ``` { "urls": \[ "https://www.airbnb.com/s/Paris--France/services" ], "maxitems": 30 } ``` #### Input Fields | Field | Type | Description | | ---------- | ------- | --------------------------------------------- | | `urls` | array | List of Airbnb Services search URLs | | `maxitems` | integer | Maximum number of services to collect per URL | --- ### πŸ“€ Output Example ``` { "service\_id": "12345678", "title": "Private Chef Italian Dinner", "subtitle": "Cooking Experience", "rating": 4.92, "reviews\_count": 184, "price\_from": 120, "price\_original": 150, "price\_unit": "per person", "minimum\_booking": 240, "image\_url": "https://a0.muscache.com/example.jpg", "service\_url": "https://www.airbnb.com/services/12345678" } ```` --- ### πŸ“Š Output explanation | Field | Description | | ----------------- | ---------------------- | | `service_id` | Service ID | | `title` | Service title | | `subtitle` | Category / description | | `rating` | Average rating | | `reviews_count` | Number of reviews | | `price_from` | Starting price | | `price_original` | Original price | | `price_unit` | Pricing unit | | `minimum_booking` | Minimum booking | | `image_url` | Service image | | `service_url` | Service link | --- ### 🌍 Why Use This Scraper? πŸ§‘β€πŸ³ Service Marketplace Research β€” Discover Airbnb services globally πŸ“Š Pricing Intelligence β€” Analyze pricing trends and discounts 🌎 Local Market Discovery β€” Explore services across cities πŸ“ˆ Market Trends β€” Track popularity via ratings & reviews πŸ”Ž Lead Generation β€” Build datasets of service providers πŸ€– AI & Data β€” Feed structured data into models & analytics ⚑ Scalable β€” Built for high-volume scraping --- ### ⚠️ Disclaimer This tool is an independent solution and is not affiliated with or endorsed by Airbnb. --- ### πŸ’Έ Pricing This scraper runs on a **pay per events subscription model**. You only pay for **successful runs**. πŸ’³ **Price:** $4.89 / 1000 results --- ### Related Actors If you're interested in other German πŸ‡©πŸ‡ͺ, Austrian πŸ‡¦πŸ‡Ή, Swiss πŸ‡¨πŸ‡­, or Dach or European πŸ‡ͺπŸ‡Ί scrapers, explore more scrapers across Europe πŸ‡©πŸ‡ͺπŸ‡ͺπŸ‡Ί (Coming soon) --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool --- ### 🌍 PrimeScrape Built for scalable web data extraction & automation Contact for custom scraping solutions or enterprise requests via Apify or by email. # Actor input Schema ## `urls` (type: `array`): List of Airbnb Services search page URLs to scrape. Examples: β€’ https://www.airbnb.com/s/New-York-City--New-York--United-States/services?... β€’ https://www.airbnb.com/s/Londres--Royaume~Uni/services?... ⚠️ Each URL must contain '/services' to be valid. ## `maxitems` (type: `integer`): Maximum number of services to collect per URL. The scraper will scroll until this number is reached, all services are loaded, or 5 consecutive scrolls produce no new results. ## Actor input object example ```json { "urls": [ "https://fr.airbnb.ca/s/Florence--Italie/services?refinement_paths%5B%5D=%2Fservices&service_type_tag=Tag%3A8949&acp_id=d8a318fb-4e63-4114-abc5-999e047b0c25&location_bb=Qi9U7UE1PxNCLuhtQTJ27w%3D%3D&place_id=ChIJrdbSgKZWKhMRAyrH7xd51ZM&date_picker_type=calendar&search_type=autocomplete_click" ], "maxitems": 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 = { "urls": [ "https://fr.airbnb.ca/s/Florence--Italie/services?refinement_paths%5B%5D=%2Fservices&service_type_tag=Tag%3A8949&acp_id=d8a318fb-4e63-4114-abc5-999e047b0c25&location_bb=Qi9U7UE1PxNCLuhtQTJ27w%3D%3D&place_id=ChIJrdbSgKZWKhMRAyrH7xd51ZM&date_picker_type=calendar&search_type=autocomplete_click" ], "maxitems": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/airbnb-services-scraper---low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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://fr.airbnb.ca/s/Florence--Italie/services?refinement_paths%5B%5D=%2Fservices&service_type_tag=Tag%3A8949&acp_id=d8a318fb-4e63-4114-abc5-999e047b0c25&location_bb=Qi9U7UE1PxNCLuhtQTJ27w%3D%3D&place_id=ChIJrdbSgKZWKhMRAyrH7xd51ZM&date_picker_type=calendar&search_type=autocomplete_click"], "maxitems": 50, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/airbnb-services-scraper---low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "https://fr.airbnb.ca/s/Florence--Italie/services?refinement_paths%5B%5D=%2Fservices&service_type_tag=Tag%3A8949&acp_id=d8a318fb-4e63-4114-abc5-999e047b0c25&location_bb=Qi9U7UE1PxNCLuhtQTJ27w%3D%3D&place_id=ChIJrdbSgKZWKhMRAyrH7xd51ZM&date_picker_type=calendar&search_type=autocomplete_click" ], "maxitems": 50 }' | apify call delectable_incubator/airbnb-services-scraper---low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/airbnb-services-scraper---low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Airbnb Services Scraper - Low-costπŸ’²πŸ”₯🏠", "description": "Scrape Airbnb service listings easily πŸ”ŽπŸ  by providing search URLs. Extract service titles, ratings, reviews count, starting prices, and URLs. Ideal for marketplace research, pricing analysis, and Airbnb service insights with fast, structured datasets at scale πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "ciDaa7XSPRWivUZ30" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~airbnb-services-scraper---low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-airbnb-services-scraper---low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~airbnb-services-scraper---low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-airbnb-services-scraper---low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~airbnb-services-scraper---low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-airbnb-services-scraper---low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls", "maxitems" ], "properties": { "urls": { "title": "Airbnb Services URLs 🌐", "type": "array", "description": "List of Airbnb Services search page URLs to scrape.\n\nExamples:\nβ€’ https://www.airbnb.com/s/New-York-City--New-York--United-States/services?...\nβ€’ https://www.airbnb.com/s/Londres--Royaume~Uni/services?...\n\n⚠️ Each URL must contain '/services' to be valid.", "items": { "type": "string" } }, "maxitems": { "title": "Maximum Services per URL πŸ“„", "type": "integer", "description": "Maximum number of services to collect per URL. The scraper will scroll until this number is reached, all services are loaded, or 5 consecutive scrolls produce no new results.", "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 } } } } } } } } } } ```