Web-scraped datasets data

Web-scraped datasets are structured records extracted from publicly accessible websites: product listings and prices, job postings, company pages, real estate ads, reviews, public registers and more. Buyers use them for market monitoring, lead generation, pricing analysis, research and machine learning, often when no official feed exists.

Typical fields

• Source URL and domain
• Crawl or extraction timestamp
• Extracted fields, such as title, price, location or description
• Entity identifiers added by the provider
• Change flags compared with the previous crawl
• Parsing confidence or validation status

Sources and methods

Providers run crawlers that request pages, render JavaScript where needed and parse content into a schema. Responsible collection respects robots.txt directives and website terms, limits request rates, avoids collecting personal data that is not needed and never bypasses logins, paywalls or technical protections. Quality depends on how parsers cope with layout changes, how duplicates across sources are removed and how extracted values are validated.

Delivery and pricing

Ready-made datasets are sold per record, per refresh or as subscriptions, delivered as CSV, JSON Lines or Parquet in cloud storage. Custom extraction projects are usually priced by number of sources, pages, fields and refresh frequency, with setup and maintenance fees.

Before you buy

• Ask how the provider handles robots.txt, terms of service and rate limits.
• Confirm no data was collected behind logins or with fake accounts.
• Check whether personal data is included and on what legal basis.
• Ask how parser breakages are detected and fixed.
• Review your rights to store, combine and redistribute the data.