Oxylabs SERP API vs Diffbot: full comparison for 2026
Last updated: June 2026
Quick verdict
Oxylabs SERP API (3.8/5) edges ahead of Diffbot (3.7/5) overall. Oxylabs SERP API is the better choice for enterprise teams needing real-time (not cached) SERP data with custom extraction logic backed by a large proprietary proxy network. Diffbot is the stronger option for aI and data applications needing structured entity data, company intelligence, or clean article extraction from arbitrary web pages at scale. The right choice depends on your project size, budget, and required tech stack.
Oxylabs SERP API vs Diffbot: head-to-head summary
| Criterion | Oxylabs SERP API | Diffbot |
|---|---|---|
| Founded | 2015 | 2010 |
| HQ | Vilnius, Lithuania | Menlo Park, CA, USA |
| Team size | 201–500 | 51–200 |
| Rating | 3.8 / 5 | 3.7 / 5 |
| Best for | Enterprise teams needing real-time (not cached) SERP data with custom extraction logic backed by a large proprietary proxy network | AI and data applications needing structured entity data, company intelligence, or clean article extraction from arbitrary web pages at scale |
| Pricing model | Pay-per-request (~$3–$15/1K queries by target and mode); volume discounts on enterprise plans | Monthly subscription ($299–$499/month on published tiers); Enterprise custom |
| Min. engagement | Not publicly disclosed (enterprise sales process) | Not publicly disclosed |
| Primary tech stack | REST API, Python SDK, Node.js SDK | REST API, Python SDK, JavaScript SDK |
| Industries served | E-commerce, Marketing Analytics, Financial Services, Research & Academia | AI / LLM Workflows, Financial Services, Research & Academia, E-commerce |
Oxylabs SERP API vs Diffbot: overview
Oxylabs SERP API
Oxylabs SERP Scraper API provides structured SERP data from Google, Bing, Baidu, and other engines by routing live requests through its own 102M+ IP proxy network — no cached data. Custom JavaScript parsers allow callers to define exactly what is extracted from each result page. Oxylabs was founded in 2015 and is headquartered in Vilnius, Lithuania, with offices in the US and UK. It holds ISO 27001 certification. The SERP API uses asynchronous delivery with webhooks or polling, with typical completion times of 5–30 seconds depending on target and proxy routing. Notable clients include Reebok, Adidas, and Nielsen (per company website; independently unverifiable).
Diffbot
Diffbot combines automatic web page extraction (Article API, Product API, Discussion API) with a continuously-updated knowledge graph of 10 billion+ entities including companies, people, products, and events. Its Knowledge Graph Search API queries this structured dataset using natural language rather than keywords, enabling precise entity-level retrieval beyond what SERP APIs provide. Diffbot was founded in 2010 by Mike Tung at Stanford University and is headquartered in Menlo Park, California. It uses computer vision and machine learning to extract structured data from any web page without custom selectors. Clients include Snapchat, DuckDuckGo, Cisco, and Goldman Sachs (per company website; independently unverifiable).
Services and capabilities: Oxylabs SERP API vs Diffbot
| Capability | Oxylabs SERP API | Diffbot |
|---|---|---|
| Real-time web search | ✗ | ✓ |
| News & event intelligence | ✗ | ✗ |
| Structured JSON output | ✓ | ✓ |
| AI / LLM pipeline integration | ✗ | ✓ |
| Scheduled monitoring | ✗ | ✗ |
| Multi-language coverage | ✗ | ✓ |
Tech stack comparison: Oxylabs SERP API vs Diffbot
| Framework / platform | Oxylabs SERP API | Diffbot |
|---|---|---|
| REST API | ✓ | ✓ |
| Python SDK | ✓ | ✓ |
| JSON output | ✓ | N/A |
| LLM validation | N/A | N/A |
| Webhook delivery | N/A | N/A |
Pricing comparison: Oxylabs SERP API vs Diffbot
| Criterion | Oxylabs SERP API | Diffbot |
|---|---|---|
| Minimum engagement | Not publicly disclosed (enterprise sales process) | Not publicly disclosed |
| Engagement models | Pay-as-you-go, Enterprise contract | Monthly subscription, Enterprise contract |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Oxylabs SERP API vs Diffbot
| Dimension | Oxylabs SERP API | Diffbot |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | E-commerce, Marketing Analytics, Financial Services | AI / LLM Workflows, Financial Services, Research & Academia |
| Best use cases | Real-time e-commerce price intelligence requiring current (not cached) SERP and product listing data, Competitive SEO monitoring in markets with frequent HTML changes where a fixed parser would break | Company intelligence enrichment — automatically extract firmographic data, funding, and leadership from company web pages, News monitoring where clean structured extraction (title, author, body, date) matters more than raw URL ranking |
| Typical project type | Pay-as-you-go | Monthly subscription |
Oxylabs SERP API vs Diffbot: pros and cons
| Oxylabs SERP API | |
|---|---|
| + | 102M+ residential and datacenter IP pool — high success rate against bot detection on Google, Bing, and Baidu |
| + | Real-time crawling — every response reflects the current SERP state at request time, not a cached snapshot |
| + | Custom JavaScript parsers enable caller-defined output schemas beyond a fixed SERP data model |
| + | ISO 27001 certified — documented information security management for compliance-sensitive procurement |
| + | Multi-engine support with per-engine parameter customisation for Google, Bing, Baidu, and Yahoo |
| - | Enterprise-only pricing — requires a sales process before access; no self-serve free tier documented |
| - | 5–30 second response times via asynchronous delivery make it unsuitable for real-time user-facing search |
| - | Per-request pricing is expensive at high volume compared to DataForSEO standard queue pricing |
| - | Custom parsers require JavaScript maintenance when target sites update HTML structure |
| Diffbot | |
|---|---|
| + | 10B+ entity knowledge graph continuously updated from the web — returns structured entity facts, not raw HTML or URL lists |
| + | Article API auto-extracts clean body text, author, publish date, and images from any news URL without custom selectors |
| + | Natural language knowledge graph search enables entity queries not achievable with keyword-based SERP APIs |
| + | Computer vision extraction adapts to layout changes automatically — no maintenance when target sites redesign |
| + | Clients include DuckDuckGo and Goldman Sachs (per company website; independently unverifiable) |
| - | $299/month minimum subscription is high for low-query-volume use cases — no pay-as-you-go tier documented |
| - | Knowledge graph depth varies: company and person data is comprehensive; niche topics and non-English entities may be sparse |
| - | Not a real-time SERP API — knowledge graph reflects Diffbot's crawler cadence; breaking news may lag by hours |
| - | GraphQL interface for knowledge graph queries has a steeper learning curve than standard REST/JSON SERP APIs |
Who should choose Oxylabs SERP API?
Oxylabs SERP API is the right choice for enterprise teams needing real-time (not cached) SERP data with custom extraction logic backed by a large proprietary proxy network.
Live crawling via 102M+ proprietary IPs with caller-defined JavaScript parsers — real-time data with custom output schemas, not a fixed-schema cached SERP product. Minimum engagement starts at Not publicly disclosed (enterprise sales process). Works best with clients in E-commerce, Marketing Analytics, Financial Services, Research & Academia.
Who should choose Diffbot?
Diffbot is the right choice for aI and data applications needing structured entity data, company intelligence, or clean article extraction from arbitrary web pages at scale.
10B+ entity knowledge graph searchable by natural language — returns structured facts about companies, people, and products, not raw SERP result lists. Minimum engagement starts at Not publicly disclosed. Works best with clients in AI / LLM Workflows, Financial Services, Research & Academia, E-commerce.
Decision matrix: Oxylabs SERP API vs Diffbot
| Your situation | Recommended choice |
|---|---|
| You need maximum recall across trade press and regional sources | Diffbot |
| You need sub-second real-time results | Diffbot |
| Your budget is at the lower end | Compare: Oxylabs SERP API (Not publicly disclosed (enterprise sales process)) vs Diffbot (Not publicly disclosed) |
| You need structured data for downstream LLM processing | Oxylabs SERP API |
| You need scheduled monitoring with deduplication | Neither; check alternatives for monitoring features |
| You need enterprise compliance (SOC2, GDPR, ISO) | Verify compliance certifications directly |
Use case fit: Oxylabs SERP API vs Diffbot
| Use case | Oxylabs SERP API fit | Diffbot fit | Winner |
|---|---|---|---|
| Real-time e-commerce price intelligence requiring current (not cached) SERP and product listing data | Strong | Limited | Oxylabs SERP API |
| Competitive SEO monitoring in markets with frequent HTML changes where a fixed parser would break | Strong | Limited | Oxylabs SERP API |
| Company intelligence enrichment — automatically extract firmographic data, funding, and leadership from company web pages | Limited | Strong | Diffbot |
| News monitoring where clean structured extraction (title, author, body, date) matters more than raw URL ranking | Limited | Strong | Diffbot |
| Financial risk monitoring | Limited | Strong | Diffbot |
| LLM knowledge base population | Limited | Strong | Diffbot |
Verdict: Oxylabs SERP API vs Diffbot
Oxylabs SERP API (3.8/5) is the stronger overall choice for most Web Search API projects. Live crawling via 102M+ proprietary IPs with caller-defined JavaScript parsers — real-time data with custom output schemas, not a fixed-schema cached SERP product. It is best for enterprise teams needing real-time (not cached) SERP data with custom extraction logic backed by a large proprietary proxy network.
Diffbot (3.7/5) is the better choice when aI and data applications needing structured entity data, company intelligence, or clean article extraction from arbitrary web pages at scale. If your situation matches those criteria, Diffbot is a competitive option.
Related comparisons
Oxylabs SERP API vs Diffbot FAQ
Is Oxylabs SERP API better than Diffbot?
Oxylabs SERP API (3.8/5) scores higher overall, but "better" depends on your use case. Oxylabs SERP API is better for enterprise teams needing real-time (not cached) SERP data with custom extraction logic backed by a large proprietary proxy network. Diffbot is better for aI and data applications needing structured entity data, company intelligence, or clean article extraction from arbitrary web pages at scale.
How do Oxylabs SERP API and Diffbot differ in pricing?
Oxylabs SERP API uses pay-per-request (~$3–$15/1k queries by target and mode); volume discounts on enterprise plans pricing with a minimum engagement of Not publicly disclosed (enterprise sales process). Diffbot uses monthly subscription ($299–$499/month on published tiers); enterprise custom pricing with a minimum engagement of Not publicly disclosed. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Oxylabs SERP API or Diffbot?
Oxylabs SERP API is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each provider before shortlisting.
What are the main differences between Oxylabs SERP API and Diffbot?
Oxylabs SERP API's primary differentiator is: live crawling via 102m+ proprietary ips with caller-defined javascript parsers — real-time data with custom output schemas, not a fixed-schema cached serp product. Diffbot's primary differentiator is: 10b+ entity knowledge graph searchable by natural language — returns structured facts about companies, people, and products, not raw serp result lists. They also differ in team size (201–500 vs 51–200), minimum engagement (Not publicly disclosed (enterprise sales process) vs Not publicly disclosed), and primary industries served (E-commerce, Marketing Analytics vs AI / LLM Workflows, Financial Services).
Last reviewed: June 2026. Verify all details directly with each provider before making a decision.