# Truckparking Club Discovery Parser Spider (`getdataforme/truckparking-club-discovery-parser-spider`) Actor The Truckparking Club Discovery Parser Spider extracts comprehensive data on truck parking facilities from the TruckParkingClub website, offering insights into amenities, pricing, and availability.... - **URL**: https://apify.com/getdataforme/truckparking-club-discovery-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 5 total users, 2 monthly users, 100.0% runs succeeded, 0 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 --- ## README.md ### Truckparking Club Discovery Parser Spider #### Introduction The Truckparking Club Discovery Parser Spider is a powerful tool designed to extract detailed information about truck parking facilities from the TruckParkingClub website. It allows users to gather data on amenities, pricing, and availability across various locations, providing valuable insights for market research, competitive analysis, and business decision-making. #### Features - **Comprehensive Data Extraction**: Captures detailed information including location, pricing, amenities, and reviews. - **Customizable Search**: Allows input of specific keywords to tailor the search results. - **Flexible Item Limit**: Users can set a limit on the number of items scraped per run or opt for unlimited extraction. - **High-Quality Output**: Provides structured JSON output with all relevant data fields. - **User-Friendly Configuration**: Simple setup with clear input parameters and easy-to-follow instructions. #### Input Parameters Table | Parameter | Type | Required | Description | Example | |-------------|---------|----------|-----------------------------------------------------------------------------|--------------------------| | Keywords | array | No | The keywords for the spider. | `["texas", "newyork"]` | | item_limit | integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | #### Example Usage ##### Input JSON ```json { "Keywords": ["texas", "california"], "item_limit": 5 } ```` ##### Output JSON ```json [ { "name": "Walburg Travel Center - Buy 75 gal of fuel, get 1 daily parking FREE", "city": "georgetown", "state": "texas", "latitude": 30.711636, "longitude": -97.64280199999999, "price_per_hour": null, "price_per_day": 100, "price_per_month": 300, "total_spots": 210, "available_spots": 190, "amenities": { "raw_ids": [1, 6, 3, 12, 10, 32, 7, 9, 15], "vehicle_type_allowed": [0] }, "vehicle_size_limitations": [0], "host_name": "Mushtaq A", "host_contact": "QHE957", "average_rating": 4.61, "reviews": [], "booking_url": "https://truckparkingclub.com/truck-parking/texas/georgetown/4610-south-ih-35-service-road", "images": ["https://i.truckparkingclub.com/0126/1769293147578.png"], "search_keyword": "texas,california", "listing_id": 1890, "review_count": 588, "price_options": [ { "price_id": 9186, "price": 1200, "plan_duration": 2, "vehicle_type": 0 }, { "price_id": 9366, "price": 100, "plan_duration": 1, "vehicle_type": 0 }, { "price_id": 9631, "price": 30000, "plan_duration": 4, "vehicle_type": 0 } ], "actor_id": "cuxrQNTGW9fyp3qRh", "run_id": "bAk2Vrcqb266Y8WQY" }, { "name": "Fate, TX Truck and Trailer Parking on S FM 551", "city": "royse city", "state": "texas", "latitude": 32.910049, "longitude": -96.36963, "price_per_hour": null, "price_per_day": null, "price_per_month": 169, "total_spots": 500, "available_spots": 138, "amenities": { "raw_ids": [1, 6, 3, 9, 14, 10, 31, 30, 17, 39, 13, 38, 15, 34], "vehicle_type_allowed": [0] }, "vehicle_size_limitations": [0], "host_name": "HELLEN B", "host_contact": "GPV794", "average_rating": 4.98, "reviews": [], "booking_url": "https://truckparkingclub.com/truck-parking/texas/royse city/3182-fm551-75189", "images": ["https://i.truckparkingclub.com/0325/1742001489311.jpg"], "search_keyword": "texas,california", "listing_id": 4132, "review_count": 40, "price_options": [ { "price_id": 83437, "price": 16900, "plan_duration": 4, "vehicle_type": 0 } ], "actor_id": "cuxrQNTGW9fyp3qRh", "run_id": "bAk2Vrcqb266Y8WQY" }, { "name": "Dallas, TX Truck and Trailer Parking on Telephone Rd", "city": "dallas", "state": "texas", "latitude": 32.63462, "longitude": -96.75517, "price_per_hour": null, "price_per_day": 100, "price_per_month": 200, "total_spots": 150, "available_spots": 121, "amenities": { "raw_ids": [1, 38, 5, 6, 19, 39, 4, 30, 31, 10, 32, 17, 15, 3, 34, 24, 22], "vehicle_type_allowed": [0] }, "vehicle_size_limitations": [0], "host_name": "Binyam H", "host_contact": "GNQ383", "average_rating": 4.94, "reviews": [], "booking_url": "https://truckparkingclub.com/truck-parking/texas/dallas/4050-telephone-rd-75241", "images": ["https://i.truckparkingclub.com/1225/1764704849358.png"], "search_keyword": "texas,california", "listing_id": 3032, "review_count": 129, "price_options": [ { "price_id": 15169, "price": 2000, "plan_duration": 2, "vehicle_type": 0 }, { "price_id": 21112, "price": 10000, "plan_duration": 3, "vehicle_type": 0 }, { "price_id": 9631, "price": 30000, "plan_duration": 4, "vehicle_type": 0 } ], "actor_id": "cuxrQNTGW9fyp3qRh", "run_id": "bAk2Vrcqb266Y8WQY" } ] ``` #### Use Cases - **Market Research and Analysis**: Gather data on truck parking facilities to understand market trends. - **Competitive Intelligence**: Monitor competitors' offerings in the truck parking industry. - **Price Monitoring**: Track pricing changes across different locations for strategic planning. - **Content Aggregation**: Compile comprehensive lists of truck parking options for content creation. - **Academic Research**: Use data for studies related to logistics and transportation infrastructure. - **Business Automation**: Integrate with business systems for automated reporting and decision-making. #### Installation and Usage 1. Search for "Truckparking Club Discovery Parser Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters as needed. 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 where each object represents a truck parking facility with fields such as `name`, `city`, `state`, `latitude`, `longitude`, `price_per_hour`, `price_per_day`, `price_per_month`, `total_spots`, `available_spots`, `amenities`, `vehicle_size_limitations`, `host_name`, `host_contact`, `average_rating`, `reviews`, `booking_url`, `images`, `search_keyword`, `listing_id`, `review_count`, and `price_options`. Each field provides specific details about the parking facility, enabling comprehensive analysis. #### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: [Get Data For Me Contact](https://getdataforme.com/contact/) We're here to help you get the most out of this Actor! # Actor input Schema ## `Keywords` (type: `array`): The keywords for the spider. ## `item_limit` (type: `integer`): Maximum items to scrape per actor run. Set to 0 for no limit. ## Actor input object example ```json { "Keywords": [ "tennessee" ], "item_limit": 10 } ``` # Actor output Schema ## `results` (type: `string`): Scraped data items from dataset # 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/truckparking-club-discovery-parser-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/truckparking-club-discovery-parser-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/truckparking-club-discovery-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/truckparking-club-discovery-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Truckparking Club Discovery Parser Spider", "description": "The Truckparking Club Discovery Parser Spider extracts comprehensive data on truck parking facilities from the TruckParkingClub website, offering insights into amenities, pricing, and availability....", "version": "0.0", "x-build-id": "aTIHoFzRMvdmGuCFA" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~truckparking-club-discovery-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-truckparking-club-discovery-parser-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~truckparking-club-discovery-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-truckparking-club-discovery-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~truckparking-club-discovery-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-truckparking-club-discovery-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Keywords": { "title": "Keywords", "type": "array", "description": "The keywords for the spider.", "default": [ "tennessee" ], "items": { "type": "string" } }, "item_limit": { "title": "Item limit", "minimum": 0, "type": "integer", "description": "Maximum items to scrape per actor run. Set to 0 for no limit.", "default": 10 } } }, "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 } } } } } } } } } } ```