# Avis Details Spider (`getdataforme/avis-details-spider`) Actor Extract real-time vehicle availability and pricing from Avis car rental pages with the Avis Details Spider. Supports multiple URLs for batch scraping, delivers structured JSON data, and powers market research, price monitoring, and travel planning decisions. - **URL**: https://apify.com/getdataforme/avis-details-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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. 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 ### Description Extract real-time vehicle availability and pricing from Avis car rental pages with the Avis Details Spider. Supports multiple URLs for batch scraping, delivers structured JSON data, and powers market research, price monitoring, and travel planning decisions. --- ## Avis Details Spider ### Introduction The Avis Details Spider is a powerful Apify Actor designed to extract detailed vehicle availability and pricing information from Avis car rental reservation pages. By scraping real-time data from specified URLs, it provides structured insights into vehicle options, helping users make informed decisions for travel planning. This tool is ideal for businesses and individuals needing automated, reliable data extraction from Avis' dynamic web interfaces. ### Features - **Comprehensive Vehicle Data Extraction**: Captures total vehicle counts, detailed vehicle lists including models, pricing, and availability from Avis reservation pages. - **Flexible URL Input**: Supports multiple URLs for batch processing, allowing users to scrape data from various Avis locations and dates. - **Real-Time Scraping**: Fetches live data directly from Avis websites, ensuring up-to-date information on vehicle options and rates. - **Structured JSON Output**: Delivers clean, parseable JSON data with actor and run identifiers for easy integration into workflows. - **Error Handling and Logging**: Includes robust error management to handle invalid URLs or network issues, with detailed logs for troubleshooting. - **High Performance**: Optimized for speed and efficiency, processing multiple URLs concurrently to minimize runtime. - **Apify Integration**: Seamlessly runs on the Apify platform, supporting scalable cloud execution and data export options. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|---------|----------|-----------------------------------------------------------------------------|---------| | Urls | array | Yes | An array of URLs pointing to Avis reservation pages to scrape vehicle details from. Each URL should be a valid HTTP/HTTPS link to an Avis make-reservation page. | ["https://www.avis.com/en/reservation/make-reservation?dropoff_suggestion_type_code=AIRPORT&pickup_hour=12&pickup_location_region=NAM&pickup_minute=00&pickup_am_pm=PM&pickup_day=03&pickup_month=04&pickup_suggestion_type_code=AIRPORT&pickup_year=2026&residency_value=US&return_hour=12&return_minute=00&return_am_pm=PM&return_day=06&return_month=04&return_year=2026&pickup_location_code=EWR&return_location_code=EWR&age=25&country=us&locale=en-US&brand=avis"] | ### Example Usage To run the Avis Details Spider, provide input parameters in JSON format. Below is an example input: ```json { "Urls": [ "https://www.avis.com/en/reservation/make-reservation?dropoff_suggestion_type_code=AIRPORT&pickup_hour=12&pickup_location_region=NAM&pickup_minute=00&pickup_am_pm=PM&pickup_day=03&pickup_month=04&pickup_suggestion_type_code=AIRPORT&pickup_year=2026&residency_value=US&return_hour=12&return_minute=00&return_am_pm=PM&return_day=06&return_month=04&return_year=2026&pickup_location_code=EWR&return_location_code=EWR&age=25&country=us&locale=en-US&brand=avis" ] } ```` Example output in JSON format: ```json [ { "total_vehicles": 0, "vehicles": [], "actor_id": "3sRzeNO6Rgr6KUhJa", "run_id": "ONWUnRxx47VEjGlac" } ] ``` ### Use Cases - **Market Research and Analysis**: Analyze vehicle availability and pricing trends across different Avis locations to inform market strategies. - **Competitive Intelligence**: Compare Avis offerings with competitors by extracting data on vehicle types and rates. - **Price Monitoring**: Track rental prices over time for specific dates and locations to identify deals or fluctuations. - **Content Aggregation**: Build databases of vehicle options for travel websites or apps integrating rental services. - **Academic Research**: Study transportation patterns by collecting data on vehicle availability in various regions. - **Business Automation**: Automate data collection for travel agencies to provide clients with up-to-date rental options. ### Installation and Usage 1. Search for "Avis Details Spider" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 4. Click "Start" to begin extraction 5. Monitor progress in the log 6. Export results in your preferred format (JSON, CSV, Excel) ### Output Format The output is a JSON array of objects, each representing data scraped from a single URL. Key fields include: - `total_vehicles`: An integer indicating the total number of available vehicles. - `vehicles`: An array of vehicle objects (may be empty if no vehicles are available), containing details like model, price, etc. - `actor_id`: A unique identifier for the Apify Actor. - `run_id`: A unique identifier for the specific run instance. This structure ensures easy parsing and integration with downstream applications. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! *** # Actor input Schema ## `Urls` (type: `array`): The urls for the spider. ## Actor input object example ```json { "Urls": [ "https://www.avis.com/en/reservation/make-reservation?dropoff_suggestion_type_code=AIRPORT&pickup_hour=12&pickup_location_region=NAM&pickup_minute=00&pickup_am_pm=PM&pickup_day=03&pickup_month=04&pickup_suggestion_type_code=AIRPORT&pickup_year=2026&residency_value=US&return_hour=12&return_minute=00&return_am_pm=PM&return_day=06&return_month=04&return_year=2026&pickup_location_code=EWR&return_location_code=EWR&age=25&country=us&locale=en-US&brand=avis" ] } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/avis-details-spider").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 = {} # Run the Actor and wait for it to finish run = client.actor("getdataforme/avis-details-spider").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 '{}' | apify call getdataforme/avis-details-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/avis-details-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Avis Details Spider", "description": "Extract real-time vehicle availability and pricing from Avis car rental pages with the Avis Details Spider. Supports multiple URLs for batch scraping, delivers structured JSON data, and powers market research, price monitoring, and travel planning decisions.", "version": "0.0", "x-build-id": "vlCcrmNdMRb4oHxP2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~avis-details-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-avis-details-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~avis-details-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-avis-details-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~avis-details-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-avis-details-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://www.avis.com/en/reservation/make-reservation?dropoff_suggestion_type_code=AIRPORT&pickup_hour=12&pickup_location_region=NAM&pickup_minute=00&pickup_am_pm=PM&pickup_day=03&pickup_month=04&pickup_suggestion_type_code=AIRPORT&pickup_year=2026&residency_value=US&return_hour=12&return_minute=00&return_am_pm=PM&return_day=06&return_month=04&return_year=2026&pickup_location_code=EWR&return_location_code=EWR&age=25&country=us&locale=en-US&brand=avis" ], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```