Methodology
This page explains how BuyDataHub selects the providers we cover, how our editorial scoring works, how we map providers to use cases, and how affiliate relationships are handled. The goal is to make our process transparent enough that you can judge our recommendations on their merits.
How providers are selected
We prioritize providers that are established, have a clear product offering, and are relevant to at least one of the categories or use cases covered on this site — web data platforms, B2B data providers, dataset marketplaces, proxy networks, data enrichment tools, and public/open data sources. Inclusion in the directory is not paid, and a commercial relationship with a provider is never a condition of being listed.
How editorial scoring works
Each provider is assessed against six weighted criteria: data coverage, ease of use, developer experience, compliance support, scalability, and pricing transparency. These combine into an overall editorial score out of 5. Scores are based on publicly available product information, documentation, and our own research into how each provider positions itself — not on user-submitted reviews or star ratings, and not on the size of any affiliate relationship.
Scores are reviewed periodically and updated when a provider materially changes its product, pricing model, or positioning. The "updated" date on each provider page reflects the last review.
How rankings work
Rankings group providers within a specific category or use case and order them based on the same editorial criteria used for individual scoring, weighted toward what matters most for that specific ranking's focus (for example, developer experience is weighted more heavily in scraping API rankings than in dataset marketplace rankings). Rankings reflect editorial judgment, not an automated formula, and are disclosed as such.
How use cases are mapped
Use case pages recommend provider types and specific providers based on which categories of data and delivery method typically fit that problem best. These mappings are illustrative starting points, not exhaustive or exclusive — many use cases can reasonably be solved with providers outside our specific recommendations, and your own requirements should always take precedence over a generic recommendation.
What we consider when comparing providers
- Breadth and depth of data coverage relevant to the category
- Ease of use for the intended audience (developer vs. non-technical buyer)
- Availability and quality of documentation, APIs and integrations
- Published compliance and acceptable-use practices
- Ability to scale from small trials to production volume
- Clarity of pricing information, even where exact figures aren't published
How affiliate links are handled
Affiliate and outbound provider links are centrally managed and applied consistently across the site. Affiliate relationships, where they exist, do not influence editorial scores, rankings, or comparison verdicts. We do not accept payment in exchange for a higher ranking or score. See our full affiliate disclosure for more detail.
What we ask you to verify yourself
Data provider pricing, contract terms, data licensing conditions and compliance certifications change frequently and vary by region, plan and use case. Always confirm current pricing, terms, and compliance suitability directly with a provider — and consult legal counsel for regulated or high-stakes use cases — before making a purchasing decision based on anything you read here.