# Priceline Hotel Reviews Scraper (`shahidirfan/priceline-hotel-reviews-scraper`) Actor Scrape Priceline hotel reviews, ratings & guest feedback at scale. Extract review text, scores, guest names, dates & metadata. Ideal for hotel reputation management, competitive benchmarking, sentiment analysis & travel market research. Structured JSON output. - **URL**: https://apify.com/shahidirfan/priceline-hotel-reviews-scraper.md - **Developed by:** [Shahid Irfan](https://apify.com/shahidirfan) (community) - **Categories:** Travel, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Priceline Hotel Reviews Scraper Extract guest review data from Priceline hotel pages in a clean, analysis-ready dataset. Collect reviewer details, traveler type, review text, positive and negative remarks, category scores, and total review counts for hotel research, monitoring, and comparison. ### Features - **Hotel URL or ID input** - Start with a Priceline hotel page or a hotel ID. - **Guest review collection** - Gather review text, reviewer metadata, ratings, and summary scores. - **Pagination support** - Collect more reviews with `results_wanted` and `max_pages`. - **Clean output** - Duplicate records and empty values are removed from saved records. - **Flexible URL handling** - Supports standard Priceline `/relax/at/` hotel URL patterns. --- ### Use Cases #### Hotel Reputation Research Track guest sentiment for a specific hotel. Review positive remarks, negative remarks, score patterns, and traveler profiles in one dataset. #### Competitive Analysis Compare hotels by guest feedback quality. Use scores for cleanliness, staff, location, and overall experience to evaluate strengths and weaknesses. #### Travel Data Monitoring Collect recent review samples for recurring reporting. Keep datasets small for fast checks or increase limits for deeper analysis. #### Customer Experience Analysis Study common complaints and praised amenities. Separate positive and negative remarks help teams classify recurring themes. --- ### Input Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `hotelUrl` | String | No | - | Priceline hotel URL to scrape | | `hotelId` | String | No | - | Priceline hotel ID, used when URL is empty | | `results_wanted` | Integer | No | `20` | Maximum reviews to collect | | `max_pages` | Integer | No | `5` | Maximum review pages to request | | `sort` | String | No | - | Optional review sort value | | `proxyConfiguration` | Object | No | Disabled | Optional proxy settings | --- ### Output Data | Field | Type | Description | |-------|------|-------------| | `hotel_id` | String | Priceline hotel ID | | `source_url` | String | Source hotel URL | | `page` | Number | Review page number | | `current_page` | Number | Current source review page | | `total_pages` | Number | Total available review pages | | `review_id` | String | Unique review ID | | `review_date` | String | Review date | | `reviewer_name` | String | Reviewer display name | | `reviewer_location` | String | Reviewer location code | | `traveler_type` | String | Traveler category | | `traveler_type_code` | String | Traveler category code | | `review_text` | String | General review text | | `positive_remark` | String | Positive feedback | | `negative_remark` | String | Negative feedback | | `score_overall` | Number | Overall review score | | `score_cleanliness` | Number | Cleanliness score | | `score_staff` | Number | Staff score | | `score_location` | Number | Location score | | `review_scores` | Array | Detailed score labels and values | | `total_reviews` | Number | Total available reviews | | `review_summary` | String | Total review count label | | `review_summary_count` | Number | Numeric review summary count | | `review_summary_scores` | Object | Hotel-level summary scores | | `available_sort_options` | Array | Sort options shown for reviews | | `available_filters` | Array | Review filter groups and options | --- ### Usage Examples #### Scrape by Hotel URL ```json { "hotelUrl": "https://www.priceline.com/relax/at/326303/from/20260716/to/20260801/rooms/1", "results_wanted": 20 } ```` #### Scrape by Hotel ID ```json { "hotelId": "326303", "results_wanted": 50, "max_pages": 5 } ``` #### Larger Review Collection ```json { "hotelUrl": "https://www.priceline.com/relax/at/326303", "results_wanted": 100, "max_pages": 10 } ``` *** ### Sample Output ```json { "hotel_id": "326303", "source_url": "https://www.priceline.com/relax/at/326303/from/20260716/to/20260801/rooms/1", "page": 1, "current_page": 1, "total_pages": 267, "review_id": "5299215231", "review_date": "Jun 2026", "reviewer_name": "Minnie", "reviewer_location": "ph", "traveler_type": "Group Traveler", "traveler_type_code": "GROUP", "review_text": "Decent hotel but a little bit old and needs some update.", "positive_remark": "Location", "negative_remark": "During check-in: felt mocked by staff.", "score_overall": 6, "score_cleanliness": 7, "score_staff": 8, "score_location": 8, "review_scores": [ { "type": "CLEANLINESS", "score": "7", "label": "Cleanliness" } ], "total_reviews": 2668, "review_summary": "5,108 Reviews", "review_summary_count": 5108, "review_summary_scores": { "cleanliness": { "score": 7.3, "label": "Cleanliness" } } } ``` *** ### Tips for Best Results #### Start Small - Use `results_wanted: 20` for test runs. - Increase limits after confirming the hotel has enough reviews. #### Use Valid Hotel Pages - Use Priceline hotel pages that contain `/relax/at/`. - If a URL changes, provide the hotel ID directly. #### Tune Pagination - Raise `max_pages` when collecting larger datasets. - Use `results_wanted` and `max_pages` to control collection size. *** ### Integrations Connect your data with: - **Google Sheets** - Review data and score tracking - **Airtable** - Searchable review databases - **Webhooks** - Send results to your system - **Make** - Automated reporting workflows - **Zapier** - Trigger alerts from new datasets #### Export Formats - **JSON** - For developers and data pipelines - **CSV** - For spreadsheets - **Excel** - For business reporting - **XML** - For system integrations *** ### Frequently Asked Questions #### Can I use only a hotel ID? Yes, you can provide `hotelId` without a URL. #### Does it collect all reviews? It collects up to your `results_wanted` and `max_pages` limits. #### Why are some fields missing? Fields are omitted when Priceline does not provide a value for that review. #### Can I collect reviews from multiple hotels? Run the actor once per hotel to keep datasets clearly separated. #### What URL formats are supported? Priceline hotel URLs using `/relax/at/326303` and dated variants are supported. *** ### Support For issues or feature requests, contact support through the Apify Console. #### Resources - [Apify Documentation](https://docs.apify.com/) - [API Reference](https://docs.apify.com/api/v2) - [Scheduling Runs](https://docs.apify.com/schedules) *** ### Legal Notice This actor is designed for legitimate data collection purposes. Users are responsible for ensuring compliance with website terms of service and applicable laws. Use data responsibly and respect rate limits. # Actor input Schema ## `hotelUrl` (type: `string`): Priceline hotel URL, for example https://www.priceline.com/relax/at/326303/from/20260716/to/20260801/rooms/1 ## `hotelId` (type: `string`): Priceline hotel ID. Used when Hotel URL is empty. ## `results_wanted` (type: `integer`): Maximum number of reviews to save. ## `max_pages` (type: `integer`): Maximum review pages to request. ## `proxyConfiguration` (type: `object`): Optional proxy settings for the review API requests. ## Actor input object example ```json { "hotelUrl": "https://www.priceline.com/relax/at/326303/from/20260716/to/20260801/rooms/1", "hotelId": "326303", "results_wanted": 20, "max_pages": 5, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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 = { "hotelUrl": "https://www.priceline.com/relax/at/326303/from/20260716/to/20260801/rooms/1", "hotelId": "326303", "results_wanted": 20, "max_pages": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("shahidirfan/priceline-hotel-reviews-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 = { "hotelUrl": "https://www.priceline.com/relax/at/326303/from/20260716/to/20260801/rooms/1", "hotelId": "326303", "results_wanted": 20, "max_pages": 5, } # Run the Actor and wait for it to finish run = client.actor("shahidirfan/priceline-hotel-reviews-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 '{ "hotelUrl": "https://www.priceline.com/relax/at/326303/from/20260716/to/20260801/rooms/1", "hotelId": "326303", "results_wanted": 20, "max_pages": 5 }' | apify call shahidirfan/priceline-hotel-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=shahidirfan/priceline-hotel-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Priceline Hotel Reviews Scraper", "description": "Scrape Priceline hotel reviews, ratings & guest feedback at scale. Extract review text, scores, guest names, dates & metadata. Ideal for hotel reputation management, competitive benchmarking, sentiment analysis & travel market research. Structured JSON output.", "version": "0.0", "x-build-id": "50C4PdJ7EBaxOfQU5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/shahidirfan~priceline-hotel-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-shahidirfan-priceline-hotel-reviews-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/shahidirfan~priceline-hotel-reviews-scraper/runs": { "post": { "operationId": "runs-sync-shahidirfan-priceline-hotel-reviews-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/shahidirfan~priceline-hotel-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-shahidirfan-priceline-hotel-reviews-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": { "hotelUrl": { "title": "Hotel URL", "type": "string", "description": "Priceline hotel URL, for example https://www.priceline.com/relax/at/326303/from/20260716/to/20260801/rooms/1" }, "hotelId": { "title": "Hotel ID", "type": "string", "description": "Priceline hotel ID. Used when Hotel URL is empty." }, "results_wanted": { "title": "Results wanted", "minimum": 1, "type": "integer", "description": "Maximum number of reviews to save.", "default": 20 }, "max_pages": { "title": "Max pages", "minimum": 1, "type": "integer", "description": "Maximum review pages to request.", "default": 5 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional proxy settings for the review API requests.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```