Diffbot

What makes Diffbot different

Diffbot operates as a specialized data infrastructure platform rather than a general-purpose cloud provider. Its core strength lies in treating the public web as a queryable database through AI-powered semantic understanding. Unlike traditional web scraping tools, Diffbot uses machine learning to read and interpret web content the way humans do—extracting entities, relationships, and structured data from unstructured HTML with minimal configuration.

The platform maintains a continuously updated Knowledge Graph containing over 246M organizations, 1.6B articles, and 3M retail products—effectively pre-crawled and normalized web intelligence. This inversion of the typical scraping model (build the graph once, query infinitely) appeals to data teams that need high-confidence structured web data without managing extraction rules or brittle parsers.

Diffbot’s product suite—Extract, Crawl, Natural Language, and Knowledge Graph—are modular, allowing teams to use only what they need. The free tier includes full API access with no credit card required, lowering the barrier to evaluation for developers and small teams.

Pricing model

Diffbot uses a consumption-based pricing model centered on API calls and crawl operations. Specific tier pricing is not publicly detailed in available documentation, but the platform advertises a free tier with “full API access” and a usage-based escalation beyond that.

The model differs from traditional cloud infrastructure pricing (compute/storage hours) because Diffbot charges for data operations: queries against the Knowledge Graph, crawl jobs executed, and extraction tasks processed. This aligns cost with business value—you pay for insights extracted, not idle infrastructure. Teams managing variable or exploratory workloads benefit from this approach, as there are no monthly minimums or overprovisioned capacity costs.

When it fits

• Market intelligence and competitive research: Organizations building real-time feeds of company funding, personnel changes, or product launches via the Knowledge Graph.
• Lead generation and sales enablement: LeadGraph and organization enrichment for B2B sales and prospecting workflows.
• News monitoring and sentiment analysis: Media companies, financial firms, and risk teams needing normalized article feeds with entity extraction and topic-level sentiment.
• E-commerce product intelligence: Retailers extracting and monitoring competitor pricing, reviews, and product metadata at scale.
• Machine learning feature engineering: Data teams using web-sourced structured data as training data or enrichment features for ML models.

When it doesn’t

Diffbot is not a general-purpose cloud platform and does not replace compute, storage, or serverless infrastructure providers. Workloads requiring traditional VMs, databases, object storage, or container orchestration should use AWS, GCP, or Azure. Diffbot is also less suitable for organizations that need to crawl closed or authentication-heavy sites, or those with highly specialized, non-public web data extraction needs.

Inclusion criteria

Diffbot meets all three inclusion criteria for alt-cloud.org:

1. Transparent pricing: Usage-based model documented at https://www.diffbot.com/pricing
2. Self-service signup: Free tier available with immediate API access at https://app.diffbot.com/get-started
3. Public SLA/status page: Service status page linked in footer at https://www.diffbot.com/service-status