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Webmotors-dataset-sample

A sample dataset of 1001 Webmotors listings

Webmotors listings dataset header

A Webmotors listings dataset sample of over 1000 records. Dataset was extracted using the Bright Data API.

Some of the data points that are included in the Webmotors listings dataset:

  • ID_SELLER: Identifier for the seller
  • id: Unique identifier for the car listing
  • url: URL associated with the car listing
  • Tipo: Type of the car
  • Marca: Brand or make of the car
  • Modelo: Model of the car
  • Ano: Year of manufacture of the car
  • Variante: Variant or version of the car
  • Kilometraje: Mileage or distance traveled by the car
  • Color: Color of the car
  • description: Description or additional information about the car
  • price: Price of the car
  • Combustible: Fuel type used by the car
  • Dueno: Owner information
  • Tipo_de_vendedor: Type of seller
  • Currency: Currency used for pricing
  • create_date: Date when the listing was created
  • direccion: Address or location information
  • Comuna: District or municipality
  • Ciudad: City where the car is located

And a lot more.

This is a sample subset which is derived from the "Webmotors listings" dataset which includes more than 2.8M records.

Available dataset file formats: JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.

Dataset delivery type options: Email, API download, Webhook, Amazon S3, Google Cloud storage, Google Cloud PubSub, Microsoft Azure, Snowflake, SFTP.

Update frequency: Once, Daily, Weekly, Monthly, Quarterly, or Custom basis.

Data enrichment available as an addition to the data points extracted: Based on request.

Get the full Webmotors listings dataset.

What are the Webmotors listings datasets use cases?

1. Pricing Strategy

Examine car prices by make, model, year, mileage, and location to uncover trends and patterns. Set optimal pricing, adjust based on demand, and identify opportunities for promotions or discounts.

2. Product Inventory

Determine which cars to stock, the best times to acquire them, and when to sell using car price data. Optimizing inventory and reducing storage costs help businesses avoid holding unsellable vehicles.

3. Market Strategy

Identify factors that impact car prices to tailor your marketing messages. Customizing your messaging based on these factors can enhance customer engagement, boost sales conversion rates, and increase consumer spending.

Free access to web scraping tools and datasets for academic researchers and NGOs

The Bright Initiative offers access to Bright Data's Web Scraper APIs and ready-to-use datasets to leading academic faculties and researchers, NGOs and NPOs promoting various environmental and social causes. You can submit an application here.