Webmotors Dataset

Gain insights into the automotive market and car listings with Webmotors to elevate your strategy and drive informed decision-making

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  • Millions of records available
  • More than 25 data points available
  • Free Webmotors data samples for download
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Webmotors dataset sample

The Webmotors Car Listings dataset provides a comprehensive collection of automotive data, offering insights into the car market. It includes key attributes such as product URLs, brand, model, year, mileage, condition, fuel type, price, location, and seller details. Subsets are available by car brand and more.

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Datasets Pricing

Refresh rate
200K
500K
1M
5M
20M
Complete Dataset
3TB
  • Clean and validated
  • Refreshed monthly
  • JSON/CSV/Parquet

Webmotors datasets tailored to your needs

Get easy to use, well-structured datasets for any use case

Data subscription

Subscribe to access datasets at a significantly reduced cost.

File output formats

JSON, NDJSON, JSON Lines, CSV, Parquet. Optional .gz compression.

Flexible delivery

Snowflake, Amazon S3 bucket, Google Cloud, Azure, and SFTP.

Scalable data

Scale without worrying about infra, proxy servers, or blocks.

Cost savings

Customize any dataset using filters and formatting options.

Code maintenance

Datasets are maintained based on website structure changes.

Simplified integrations

Benefit from integrations with Snowflake and AWS.

24/7 support

A dedicated team of data professionals is here to help.

Leaders in compliance

Data is ethically obtained and compliant with all privacy laws.

Get structured and reliable Webmotors data

We’ll provide the data while you focus on the rest

High-volume web data

With our unblocking capabilities and round-the-clock IP rotation we ensure access to all data points on a website.

Data for immediate use

Every aspect of the data collection process is thoroughly validated as part of our robust data validation process.

Automated data flow

Create custom schedules to automate data delivery and watch the data flow seamlessly into your storage.

How companies use Webmotors datasets

Market analysis

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

Inventory optimization

Identify which cars to stock, when to acquire them, and when to sell them using car price data. Optimizing inventory and minimizing inventory costs help businesses avoid storing unsellable vehicles.
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inventory management

Improved marketing

Understand factors that influence car prices to tailor your marketing messages. Customizing your messaging can improve customer engagement, sales conversion rates, and consumer spending.
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improved marketing and sales

Webmotors Dataset FAQs

The Webmotors dataset includes all major data points: URLs, brand, model, year, mileage, condition, fuel type, price, location, seller information, and more.

Yes, you can get updates to your Webmotors dataset on a daily, weekly, monthly, or custom basis.

Yes, you can purchase a Webmotors subset that will include only the data points you need. By purchasing a subset, cost is reduced substantially.

Dataset formats are JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.

If you don’t want to purchase a dataset, you can start scraping Webmotors data using our Webmotors Scraper API.

Yes, you can request sample data to evaluate the quality and relevance of the information provided. This is a great way to ensure it meets your needs before committing to a full dataset.

Yes, you can request specific data points from the Webmotors dataset tailored to your unique needs, ensuring you receive precisely the information you require for your projects.

Absolutely, the Webmotors dataset offers seamless API integration, allowing you to effortlessly integrate the data into your CRM, analytics tools, or any other systems you use, streamlining your operations.

Get your Webmotors dataset today.