# Truck Parking Club Listings Export

**Use case:** 

Export Truck Parking Club parking listings from a Truck Parking Club map search. Add a map search URL and get one record per listing: listing ID, title, available seats, average rating, reviews count, owner name, state and city, latitude and longitude, amenities, allowed vehicle types and prices. Use it for truck parking research and location analysis. Download JSON, CSV or Excel, or schedule it.

## Input

```json
{
  "Url": "https://truckparkingclub.com/truck-parking/texas/dallas/4050-telephone-rd-75241",
  "item_limit": 10
}
```

## Output

```json
{
  "listing_id": {
    "label": "Listing id",
    "format": "integer"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "average_ratings": {
    "label": "Average ratings",
    "format": "number"
  },
  "reviews_count": {
    "label": "Reviews count",
    "format": "integer"
  },
  "state_slug": {
    "label": "State slug",
    "format": "string"
  },
  "city_slug": {
    "label": "City slug",
    "format": "string"
  },
  "lat": {
    "label": "Lat",
    "format": "string"
  },
  "lng": {
    "label": "Lng",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Truckparkingclub Parser Spider Actor is ready to run with the inputs already set for "Truck Parking Club Listings Export". [Sign up or log in](https://console.apify.com/create-task-from-example/KGrA0tyxw6hrDCqIj) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Truck Parking Club Listings Export" task

The Truckparkingclub Parser Spider Actor will start running based on the input automatically. You can also change all the input fields, like url and item limit, to match your specific use case.

### 3. Receive the "Truck Parking Club Listings Export" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as listing id, title, average ratings, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Truck Parking Club Listings Export" task via API](https://apify.com/getdataforme/truckparkingclub-parser-spider.md).

## FAQ

### What data does this task return?

One record per listing: listing ID, title, available seats, average rating, reviews count, owner name, state and city and latitude and longitude. Other fields are included in the export.

### Which input fields can I change?

Change Url to set what is scraped.

### Can I run it on a schedule?

Yes. Save the task and add a schedule in Apify, or start it through the Apify API.

### Which formats can I export the results in?

The dataset can be downloaded as JSON, CSV, Excel, HTML, XML or RSS, or read through the Apify API.

### Do I need an account or a proxy?

No account or login details are needed in the input. The input has no proxy setting.

## About this Actor

This example demonstrates how to use [Truckparkingclub Parser Spider](https://apify.com/getdataforme/truckparkingclub-parser-spider.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/getdataforme/truckparkingclub-parser-spider.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/getdataforme/truckparkingclub-parser-spider.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).