What is Trip Data?
Trip data refers to information collected during a journey, typically recorded by transportation services or travel platforms. It includes details such as the starting point, destination, distance traveled, duration, mode of transportation, and sometimes additional data like fare or route information. Trip data is valuable for analyzing travel patterns, optimizing transportation systems, improving user experiences, and providing insights for urban planning and mobility solutions.
Examples of trip data include information about the starting point, destination, distance traveled, duration, mode of transportation, and timestamps of individual trips. Trip data is used for various purposes such as transportation planning, traffic analysis, route optimization, and understanding travel patterns. In this page, you’ll find the best data sources for trip data.
Best Trip Databases & Datasets
Here is our curated selection of top Trip Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Grepsr| Trip Advisor Property Address and Reviews | Global Coverage with Custom and On-demand Datasets
Trip Data / Aggregated data elements of vehicle trip from ignition on to ignition off.
Trip Traffic Data - 200+ Countries - Global Raw Location Data - 900+ Million Unique Devices - Quadrant
PREDIK Data-Driven Trucking Data, Location Data & Commercial Vehicle Data: Custom Datasets for Truck Trips & Stops (Available for USA)
TripAdvisor Review Data: 8M+ Global Reviews with Ratings and Detailed Comments(2024)
List of Companies Using Stripe 2025 | Stripe Customers List | 300K List of Stripe User Worldwide | 100% Real-Time Verified Data
Trips Data | Trips volume, visits, commuting pattern and origin destination data for USA and Canada
TripleOak's EU Financial Data Extraction
Adara Booked Travel Data: US and International Trips
Vehicle Fleet & Brands Data (LATAM) by PREDIK Data-Driven
Monetize data on Datarade Marketplace
Main Attributes of Trip Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The rating of a product. | View 2 datasets | |
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 1 datasets | |
| String | The name of a brand. | View 1 datasets | |
| String | The address of a company. | View 1 datasets | |
| String | The name of a company or business, might be the legal or brand name. | View 1 datasets | |
| String | The name of a language as per ISO 639. | View 1 datasets |
Frequently Asked Questions
What is Trip Data?
Trip data refers to information that is collected about individual travel patterns, including the time, location, and mode of transportation used. This data can be collected through a variety of sources, including mobile apps, GPS devices, and vehicle sensors.
How is Trip Data collected?
Trip data is typically collected through mobile apps, GPS devices, and other sensors that are embedded in vehicles and transportation infrastructure. This data can be analyzed to gain insights into travel patterns and consumer behavior.
What is Trip Data used for?
Trip data is used by businesses and organizations across various industries to gain insights into consumer behavior and travel patterns. This includes transportation planning, marketing, urban planning, logistics, research, and public safety.
What’s a quality checklist for Trip Data?
A quality checklist for trip data should include factors such as data accuracy, completeness, reliability, and privacy. It is important to ensure that the data is collected from a representative sample, is updated regularly, and is free from biases and errors.
How is Trip Data priced?
The pricing of trip data depends on various factors, including the data provider, the volume of data requested, and the complexity of the data. Some providers may charge a flat fee for access to their data, while others may charge based on usage or offer a subscription-based model. It is important to research and compare pricing options to ensure that the data is affordable and meets the specific needs of the business or organization.
- Overview
- Datasets
- Attributes
- FAQ