# Mbta Live Arrivals sample

**Use case:** 

Run a ready-made Mbta Live Arrivals example on Apify: real output, small default cost, export JSON/CSV/Excel or schedule. Parent Actor: mbta-live-arrivals-scrap

## Input

```json
{
  "stopId": "place-pktrm",
  "maxResults": 3
}
```

## Output

```json
{
  "prediction_id": {
    "label": "Prediction Id",
    "format": "text"
  },
  "arrival_time": {
    "label": "Arrival Time",
    "format": "text"
  },
  "departure_time": {
    "label": "Departure Time",
    "format": "text"
  },
  "direction_id": {
    "label": "Direction Id",
    "format": "text"
  },
  "schedule_relationship": {
    "label": "Schedule Relationship",
    "format": "text"
  },
  "status": {
    "label": "Status",
    "format": "text"
  },
  "stop_sequence": {
    "label": "Stop Sequence",
    "format": "text"
  },
  "route_id": {
    "label": "Route Id",
    "format": "text"
  },
  "stop_id": {
    "label": "Stop Id",
    "format": "text"
  },
  "trip_id": {
    "label": "Trip Id",
    "format": "text"
  },
  "vehicle_id": {
    "label": "Vehicle Id",
    "format": "text"
  },
  "source": {
    "label": "Source",
    "format": "text"
  },
  "scraped_at": {
    "label": "Scraped At",
    "format": "date"
  }
}
```

## About this Actor

This example demonstrates how to use [MBTA Live Arrivals Scraper - Boston Transit Data](https://apify.com/benthepythondev/mbta-live-arrivals-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/benthepythondev/mbta-live-arrivals-scraper) to learn more, explore other use cases, and run it yourself.