Apimetro

Overview

Apimetro offers a specialized API platform for integrating public transportation data into various applications and systems. Established in 2018, its core utility lies in providing access to real-time information about buses, trains, trams, and other transit modes, alongside historical data and operational alerts. The service is designed for developers building solutions that require up-to-date transit information, such as mobile navigation apps, city planning dashboards, logistics optimization tools, and smart city infrastructure projects.

The platform's primary offerings include a Real-time Transit API that delivers live vehicle positions and estimated arrival times, a Historical Transit Data API for analyzing past service patterns and performance, and a Service Alerts API to inform users of disruptions, delays, or schedule changes. These APIs are critical for applications that aim to improve user experience for commuters, enhance operational efficiency for transit authorities, or support data-driven urban development initiatives. For example, a navigation application can display a bus's current location on a map with data provided by the Apimetro Real-time Transit API, helping users plan their journeys more effectively.

Apimetro is particularly well-suited for scenarios demanding precise and timely data to power dynamic interfaces. Developers can utilize the data to create passenger information displays, integrate transit options into ride-sharing platforms, or develop analytical tools to identify bottlenecks in public transport networks. The API's approach to data delivery, often conforming to widely adopted standards like GTFS (General Transit Feed Specification), ensures compatibility and ease of integration for developers familiar with such formats, enhancing the utility for urban planning data analysis and broader logistics optimization efforts. While GTFS provides a standard for static transit data, real-time extensions like GTFS-RT are crucial for live updates, a capability Apimetro focuses on providing as detailed in its API reference documentation.

The service addresses the need for structured, programmatically accessible transit information, which often remains siloed or difficult to access directly from individual transit agencies. By aggregating and standardizing this data, Apimetro simplifies the development process for transportation-focused applications. The developer experience is supported by comprehensive documentation with clear examples in Python, Node.js, and cURL, facilitating a straightforward onboarding process for new users.

Key features

• Real-time Transit API: Provides live locations of public transit vehicles, estimated arrival and departure times, and current service statuses. This allows applications to display dynamic maps and schedule updates.
• Historical Transit Data API: Offers access to archived transit data, enabling analysis of past routes, punctuality, and operational performance. Useful for urban planning and forecasting.
• Service Alerts API: Delivers notifications regarding disruptions, delays, route changes, or other service advisories. Applications can inform users proactively about changes affecting their travel.
• Comprehensive Coverage: Aggregates data from numerous transit agencies, aiming to provide broad geographical coverage for urban and regional transportation networks.
• Developer Portal: A dedicated portal for managing API keys, monitoring usage, and accessing documentation and support resources.
• Multiple Language Examples: Documentation includes practical code examples in Python, Node.js, and cURL to assist developers in quick integration.

Pricing

Apimetro offers a free developer plan and several paid tiers based on request volume and features. The pricing structure is designed to scale with usage, from individual developers to larger enterprises requiring extensive data access.

Pricing as of May 2026. For the most current details, refer to the Apimetro pricing page.

Common integrations

Apimetro's data can be integrated into various applications and systems that benefit from real-time or historical public transit information. Typical integrations include:

• Mobile Navigation Apps: Integrating real-time bus and train locations to provide accurate travel guidance.
• Smart City Dashboards: Displaying aggregated transit data for urban planning, traffic management, and public information systems.
• Logistics and Delivery Platforms: Optimizing delivery routes by considering public transit availability and potential for intermodal transport.
• Travel Planning Websites: Enhancing trip planners with live updates on public transport schedules and disruptions.
• Real-time Passenger Information Systems (PIS): Powering displays at transit stops or stations with current arrival times and service alerts.
• Data Analytics Platforms: Feeding historical transit data into business intelligence tools for performance analysis and trend identification.
• Emergency Response Systems: Providing transit route information to aid in evacuation planning or emergency service deployment, which can be critical for public safety. Tools like Everbridge's mass notification system could potentially integrate transit alerts.

Alternatives

Developers seeking public transit data APIs may consider several alternatives, each with distinct features and coverage areas:

• Transitland: An open data platform that aggregates and standardizes public transit data from agencies worldwide, providing both static GTFS and GTFS-RT feeds.
• OpenMobilityData: A community-driven repository for open transit data, primarily focusing on GTFS feeds for a global collection of agencies.
• Moovit API: Offers real-time transit data, trip planning, and navigation services, often used for consumer-facing transportation applications.

Getting started

To begin using the Apimetro API, developers typically sign up for an account, obtain an API key, and then make HTTP requests to the API endpoints. The process involves authenticating requests using the provided API key. The following example demonstrates a basic request using Python to retrieve real-time transit data, as guided by the Apimetro API reference.

import requests

API_KEY = "YOUR_APIMETRO_API_KEY"
BASE_URL = "https://api.apimetro.com/v1/"

headers = {
    "Authorization": f"Bearer {API_KEY}"
}

# Example: Get real-time data for a specific transit line (e.g., Line A)
# Replace 'line_id' and 'agency_id' with actual values from Apimetro's documentation
endpoint = f"{BASE_URL}realtime/vehicles?line_id=lineA&agency_id=agencyXYZ"

try:
    response = requests.get(endpoint, headers=headers)
    response.raise_for_status() # Raise an HTTPError for bad responses (4xx or 5xx)
    data = response.json()
    print("Real-time transit data:")
    for vehicle in data['vehicles']:
        print(f"  Vehicle ID: {vehicle['id']}, Lat: {vehicle['latitude']}, Lon: {vehicle['longitude']}, Status: {vehicle['status']}")
except requests.exceptions.HTTPError as errh:
    print(f"HTTP Error: {errh}")
except requests.exceptions.ConnectionError as errc:
    print(f"Error Connecting: {errc}")
except requests.exceptions.Timeout as errt:
    print(f"Timeout Error: {errt}")
except requests.exceptions.RequestException as err:
    print(f"Something went wrong: {err}")

# Example using cURL to fetch service alerts
# curl -X GET "https://api.apimetro.com/v1/alerts" \
#      -H "Authorization: Bearer YOUR_APIMETRO_API_KEY"

This Python script initializes with a placeholder for the API key and constructs a request to the /realtime/vehicles endpoint. It then prints out key details for each vehicle found in the response. Proper error handling is included to manage network issues or API-specific errors. For detailed parameter options and available endpoints, developers should consult the official Apimetro API reference.