Diffbot vs RevenueBase

• Best for shopping-page extraction teams: Diffbot, based on its description of the Product API.✓
• Best for GTM product teams embedding B2B data: RevenueBase, based on its stated infrastructure and licensing scope.✓
• Best for teams evaluating Knowledge Graph queries: Diffbot, based on its description of the KG Engine's support for Enhance and DQL.✓

At a glance: Diffbot and RevenueBase

Diffbot

Diffbot is the stronger candidate to evaluate when your project starts with extracting information from web pages. In its July 2013 Product API announcement, Diffbot says the API automatically identifies and extracts product data from shopping web pages.✓ That makes shopping-page extraction a specific reason to put Diffbot on your shortlist, rather than treating this comparison as a general contest between interchangeable databases.✓

The same announcement says the Product API makes price, discount or savings, shipping cost, product description, images, SKU, and manufacturer product number available.✓ Diffbot also describes retrieving an entire e-commerce catalog without requiring a published API or action from the retailer.✓ If those are the inputs your project needs, those vendor descriptions provide concrete requirements to test during an evaluation.✓

Diffbot's scope also includes its Knowledge Graph. Its March 2023 changelog describes the KG Engine as a lookup service intended to improve Enhance and DQL performance and scalability, while enabling Organization and Person updates between graph builds.✓ Those are Diffbot's stated architectural benefits; use them to frame your questions about graph queries and updates.✓

For pricing, per Diffbot's pricing page, extracting a page costs 1 credit and exporting a Knowledge Graph entity costs 25 credits.✓ The page also directs buyers to estimate monthly cost from anticipated workload or browse available plans.✓ Those plans include a Free tier with 10,000 credits per month, Startup at $299 per month with 250,000 credits, and Plus at $899 per month with 1,000,000 credits.✓ A useful evaluation therefore starts by separating page extractions from entity exports, since the published credit charges differ.✓

Where Diffbot falls short

Diffbot's published credit rule creates a specific budgeting consideration: an entity export consumes more credits than a page extraction.✓ For a team planning many exports, the 25-credit operation deserves its own workload estimate; using the 1-credit extraction figure as a general cost assumption would misrepresent Diffbot's pricing.✓ This is a workload tradeoff, not a reason to dismiss the product.

Migration difficulty

Diffbot's catalog announcement describes an extraction route that doesn't require a retailer's published API or participation.✓ That addresses a particular source-access dependency, but it isn't a migration timetable. Evaluate your intended catalog retrieval and graph export work separately, using Diffbot's stated capabilities and credit charges as the starting requirements.✓

RevenueBase

RevenueBase is the stronger candidate to evaluate when your team wants to embed B2B data into a GTM product. RevenueBase describes flat-rate data feeds, clean and enrich APIs, search and discovery APIs, full API documentation, and licensing that explicitly supports embedding and redistribution.✓ This description gives product teams a direct reason to investigate both the data interfaces and the permitted use of that data.✓

RevenueBase says product teams can embed more than 390 million contacts and 60 million companies into their products, and it claims incremental margins above 99% on data-driven features.✓ Treat the margin figure as RevenueBase's claim, rather than a forecast for your own product.✓ Its broader platform description focuses on acquiring, integrating, and updating B2B data.✓

Per RevenueBase's pricing page, credit purchases start at 10,000 credits for $27.✓ The same page says PAYG full-record requests add 10 credits per semantic filter per request.✓ A standalone company lookalike request uses 10 credits for the seed query, plus 1 credit for each returned company.✓ Separately, RevenueBase says its data feeds use flat-rate pricing.✓ Keep those feed and request models distinct when evaluating the route your product will use.✓

Where RevenueBase falls short

RevenueBase's request pricing introduces a budgeting consideration for teams using semantic filters: each filter adds credits to each PAYG full-record request.✓ Lookalike requests also have both a seed-query charge and a charge tied to returned companies.✓ The entry credit purchase alone therefore doesn't describe the cost of those workflows; your estimate should account for the specific request rules.✓

Migration difficulty

RevenueBase describes API documentation and embedding and redistribution licensing as part of its B2B infrastructure offering.✓ It also describes its platform as helping teams acquire, integrate, and update B2B data.✓ These statements establish an integration-oriented scope, but they don't establish how long your migration will take. Use the documented feeds and APIs as evaluation points before assigning a migration difficulty to your own project.✓

Which team fits Diffbot or RevenueBase?

Start with the job your team needs to complete. For a shopping-data project, Diffbot's listed product fields and catalog retrieval capability provide the more directly relevant vendor description.✓ For a GTM product that needs B2B data interfaces and explicit embedding rights, RevenueBase's infrastructure description provides the more directly relevant starting point.✓ These recommendations follow the described use cases; they aren't a claim that either vendor wins every comparison.

For company targeting, RevenueBase describes its Revenue Archetyping Method as identifying decision-makers and companies that need a customer's products or services.✓ For graph-oriented work, Diffbot describes Enhance and DQL support through its KG Engine, including Organization and Person updates between builds.✓ Ask each vendor to demonstrate the workflow that matters to your team, and use its published description to define what you want to see.✓

Which one should you choose?

Choose Diffbot if your evaluation centers on extracting shopping-page data, retrieving e-commerce catalogs, or working with its Knowledge Graph interfaces. Those priorities match Diffbot's descriptions of its Product API, catalog retrieval, and KG Engine.✓ Build your cost estimate around the actual mix of extractions and entity exports.✓

Choose RevenueBase if your evaluation centers on embedding B2B contacts and companies into a GTM product, using data feeds or APIs, and reviewing redistribution rights. Those priorities match RevenueBase's stated product scope.✓ Build your request estimate around semantic filters and returned lookalike companies, while assessing flat-rate feeds separately.✓

FAQ

How we researched this

We read each company's own public pages on October 14, 2026; every factual product and pricing claim links to its source. The comparison attributes capabilities and commercial claims to the vendor making them. Recommendations reflect the described workflows, while historical announcements retain their dates where relevant.

How Modern Inbound can help

Use this comparison to define the data work your team needs before choosing a vendor. To discuss where warm leads fit into your sales process, contact Modern Inbound.