2.1.1 Understanding Dataset Content on Data Boutique
Updated
by
Andrea Squatrito
Understanding Dataset Content on Data Boutique
When purchasing a dataset on Data Boutique, it’s important to understand how each dataset is structured and what it includes. Each dataset represents a comprehensive scrape of a given website, organized by a specified schema and geographic region to provide data that is both complete and relevant.
Complete Data Coverage
For most websites listed on Data Boutique, datasets provide 100% of the records available for a given schema and geographic location. This means that when you purchase a dataset, you receive a full set of data based on the information type specified in the schema, covering every relevant record for the specified location.
For example:
- A dataset of product listings from a U.S.-based version of an eCommerce website will include all product records available on that site, according to the product schema.
- A job listing dataset from a German job site will contain all available job postings within that geographical scope, organized by the job listing schema.
This level of coverage ensures that you receive a dataset that is both complete and focused, allowing you to conduct accurate and comprehensive analyses.
Schemas and Use Cases with Multiple Schemas
Each dataset follows one specified schema, which defines the types of information included, such as product details, property listings, or job postings. If your use case requires data types that span multiple schemas, you’ll need to download and combine multiple datasets. For example, if you need both product listings and customer reviews, you would purchase separate datasets for each schema and then join them within your own system.
Data Boutique’s schema-based approach allows you to access data in an organized structure, making it easier to filter and integrate information based on specific needs.
Geographical Localization
Each dataset is also defined by geographical localization—usually by country, but sometimes by region or city, depending on the nature of the website and data source. This organization allows you to acquire data that is specifically relevant to your target market or area of interest. When browsing datasets, you’ll see clearly labeled geographic scopes, helping you select data that aligns with your location requirements.
Exceptions for Very Large Websites
For extremely large websites, capturing all data in a single dataset may be impractical due to data volume. In such cases, datasets are broken down by departments or sections (e.g., by product category or service type). This approach makes datasets more manageable and allows you to focus on specific areas without handling excessively large files.
Each dataset description will specify whether it covers the entire website or a specific section, allowing you to make an informed choice based on your needs.
In Summary
- Complete Coverage: Most datasets provide full coverage of records for the specified schema and location.
- Schema-Specific Data: Each dataset is structured according to a single schema; if you need data from multiple schemas, you can combine separate datasets as needed.
- Geographical Scope: Datasets are organized by location, ensuring data relevance to your target area.
- Departmental Breakdowns: Large websites may be split into departmental datasets for easier management.
Data Boutique’s structured, schema-based datasets provide complete and relevant information that allows you to work confidently with the data, whether you’re focusing on one region or integrating multiple schemas for in-depth insights.