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Diffbot vs Fiber AI

Which one fits your team?.

Verified 14 Oct 20267 min read

The short answer

Choose Diffbot for a team evaluating web extraction and Knowledge Graph data, and Fiber AI for a team evaluating B2B search, enrichment, and contact workflows: those recommendations follow the vendors' stated focus. Diffbot's product announcement describes extracting shopping-page data, while Fiber AI describes infrastructure for sales, recruiting, and product teams. Start with the data your team needs, then compare the relevant usage charges.

  • Best for shopping-page extraction teams: Diffbot, based on its stated Product API capabilities.
  • Best for sales and recruiting data teams: Fiber AI, based on its stated search, enrichment, contact reveal, and audience workflows.
  • Best for Knowledge Graph query teams: Diffbot, based on its stated Knowledge as a Service offering.

Diffbot vs Fiber AI at a glance

DecisionBetter fitWhy
Extract product details from shopping pagesDiffbotDiffbot's Product API announcement says it automatically identifies and extracts product data from shopping pages.
Evaluate B2B contact workflowsFiber AIFiber AI describes search, enrichment, contact reveal, and audience workflows for sales and recruiting teams.
Retrieve an e-commerce catalogDiffbotDiffbot's announcement describes catalog retrieval without a retailer's published API or action.
Embed B2B search in a productFiber AIFiber AI lists separate Bulk API Search plans for AI SDRs, recruiting platforms, and data apps.
Use a hosted slice of a target marketFiber AIFiber AI describes weekly-refreshed hosted company, job, and people datasets for product integrations.

Diffbot

Diffbot is the stronger candidate to evaluate when your requirement starts with extracting information from web pages. Its 2013 Product API announcement says the API automatically identifies and extracts product data from shopping pages. That announcement lists price, discount or savings, shipping cost, product description, images, SKU, and manufacturer's product number among the available fields. For a product-data project, use those named fields as your initial evaluation checklist.

Diffbot also described a turnkey way to retrieve an entire e-commerce catalog without a published API or action from the retailer in that announcement. Treat the announcement's date as relevant context when evaluating that claim: the cited release is from July 2013. Ask for a demonstration against your intended sites before making that capability central to your decision.

Its broader positioning extends to a Knowledge as a Service ecosystem, which Diffbot's 2020 announcement describes as using artificial intelligence, machine learning, and computer vision to provide fact-based information in response to queries. In its March 2023 changelog, Diffbot reported two service-layer optimizations to its Knowledge Graph architecture. It described one, the KG Engine, as a lookup service intended to improve Enhance and DQL performance and scalability, and update Organization and Person data between graph builds.

For pricing, Diffbot's pricing page directs buyers to estimate monthly cost from anticipated workload or browse its plans. Per that page, extracting a page costs one credit, while exporting a Knowledge Graph entity costs 25 credits. The same page lists a Free plan with 10,000 credits per month and no credit card required, Startup at $299 per month with 250,000 credits, and Plus at $899 per month with 1,000,000 credits. Build your estimate around the actions you intend to perform; don't treat page extraction and entity export as equivalent units.

Where Diffbot falls short

For this comparison, Diffbot's clearest pricing limitation is that credits are spent unevenly: extracting a page costs 1 credit, while exporting a Knowledge Graph entity costs 25. A plan's monthly credit allowance therefore covers far fewer entity exports than page extractions, so size the plan from your actual mix of actions. If your brief centers on contact reveal, compare that requirement directly with Fiber AI's expressly stated contact workflows.

Migration difficulty

Use Diffbot's named outputs to scope a migration discussion. Its Product API announcement lists product fields, while its KG Engine description addresses Organization and Person data. Check which of those outputs your existing workflow actually consumes. Treat migration effort as an open evaluation question, and request a concrete mapping before committing to a switch.

Fiber AI

Fiber AI describes itself as agent-native B2B data infrastructure covering search, enrichment, contact reveal, and audience workflows for sales, recruiting, and product teams. Its homepage similarly positions the platform for sales, recruiting, and GTM operations. That stated focus makes it a sensible candidate to evaluate when your brief concerns companies, people, and contact information.

Per Fiber AI's pricing page, its separate Bulk API Search product targets teams embedding search in an AI SDR, recruiting platform, or data app. The page also describes weekly-refreshed hosted datasets covering companies, jobs, and people for teams seeking a pre-built slice of their total addressable market for product integrations. Decide whether you want per-query search or that hosted-dataset approach before comparing commercial terms.

Fiber AI's pricing page lists Bulk API Search tiers of 500,000 monthly search credits for $1,000, 1,000,000 for $2,000, and 2,000,000 for $4,000; unlimited usage requires contacting sales. For those search plans, the page defines one credit as one returned company, person, or job profile.

Separately, Fiber AI's pricing page states a credit-basics rate of $0.02 per credit, or $20 per 1,000 credits. Its company-tracking example estimates 100 companies tracked monthly at approximately 200 credits, or about $4 per month. Treat that as a tracking example, not a subscription starting price. For total-only queries, the page lists dedicated company and people count endpoints at one credit per request.

Where Fiber AI falls short

Fiber AI's contact-details pricing introduces an estimation constraint: the vendor says credits per reveal depend on tier and whether you request work email, personal email, phone, or bundled contacts. It labels that pricing estimated and subject to volume and plan. Don't use a search-profile credit as your assumed contact-reveal cost. Ask for the terms that match your intended mix of searches and reveals before approving a budget.

Migration difficulty

Fiber AI gives you two stated approaches to evaluate for a product integration: its separate Bulk API Search plans and its weekly-refreshed hosted datasets. Start your migration assessment by choosing the approach your workflow needs. Then request a sample and map the relevant records to your existing fields before assigning an effort estimate.

Which team fits Diffbot or Fiber AI?

Make the decision around a concrete task. For a shopping-page project, evaluate Diffbot against its stated product fields and catalog-retrieval claim. For a B2B workflow, evaluate Fiber AI against its stated search, enrichment, contact reveal, and audience capabilities. These are recommendations based on the vendors' descriptions, not a measured performance ranking.

Keep the budget comparison tied to the same task. Diffbot's pricing page charges by actions such as page extraction and Knowledge Graph export, while Fiber AI's Bulk API Search table defines credits by returned profiles. Comparing the word “credit” alone won't answer your purchasing question. Write down the required output, expected volume, and contact requirements, then request an estimate for that brief from each relevant vendor.

Which one should you choose: Diffbot or Fiber AI?

Choose Diffbot if your evaluation centers on shopping-page extraction, product fields, catalog retrieval, or its Knowledge Graph offering. Those priorities align with Diffbot's product announcements and Knowledge Graph description. Require a demonstration of your intended use case and map your workload to a plan's credits before purchasing.

Choose Fiber AI if your evaluation centers on B2B search, enrichment, contact reveal, or audience workflows for sales, recruiting, or a product integration. Those priorities match Fiber AI's stated audience and capabilities. For an embedded-search project, its pricing page specifically identifies AI SDRs, recruiting platforms, and data apps as intended uses of Bulk API Search. Confirm which product and credit terms apply to your brief.

FAQ

Which tool is cheaper to start?
Diffbot lists a Free plan with 10,000 credits per month, and its first paid plan, Startup, at $299 per month. Fiber AI's Bulk API Search table starts at $1,000 per month for 500,000 search credits, but the two vendors spend credits on different actions, so those figures alone don't establish which is cheaper for your workload.
What does one credit buy?
Per Diffbot's pricing page, one page extraction costs one credit and one Knowledge Graph entity export costs 25 credits. Per Fiber AI's Bulk API Search table, one credit represents one returned company, person, or job profile.
Does Fiber AI have contact-reveal pricing?
Fiber AI's contact-details page says reveal credits depend on tier and the requested contact type, including work email, personal email, phone, or bundled contacts. It describes those prices as estimated and subject to volume and plan.
What product data does Diffbot describe extracting?
Diffbot's Product API announcement names price, discount or savings, shipping cost, description, images, SKU, and manufacturer's product number. Use those fields as a starting point for your evaluation request.

How we researched this

We read each company's own public pages on October 14, 2026; every factual claim links to its source. We used pricing pages, product descriptions, announcements, and a changelog, and attributed vendor statements throughout. Historical announcements retain their dates so you can distinguish them from the pricing information.

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