Exa vs Apify: full comparison for 2026
Last updated: June 2026
Quick verdict
Exa (4.6/5) edges ahead of Apify (3.8/5) overall. Exa is the better choice for aI agent and LLM developers needing semantic neural search with <180ms latency and token-efficient structured output. Apify is the stronger option for developers needing flexible, customisable data extraction from any web source with managed proxies and no infrastructure overhead. The right choice depends on your project size, budget, and required tech stack.
Exa vs Apify: head-to-head summary
| Criterion | Exa | Apify |
|---|---|---|
| Founded | 2022 | 2015 |
| HQ | San Francisco, CA, USA | Prague, Czech Republic |
| Team size | 11–50 | 51–200 |
| Rating | 4.6 / 5 | 3.8 / 5 |
| Best for | AI agent and LLM developers needing semantic neural search with <180ms latency and token-efficient structured output | Developers needing flexible, customisable data extraction from any web source with managed proxies and no infrastructure overhead |
| Pricing model | Pay-as-you-go ($7/1K searches); free tier (20K req/month) | Usage-based ($5 free platform credits/month; $49/month starter); Actor runs billed per compute unit |
| Min. engagement | $0 (free tier; 20,000 requests/month) | $5/month (Free plan with $5 platform credits) |
| Primary tech stack | REST API, Python SDK, TypeScript SDK | REST API, JavaScript/Node.js SDK, Python SDK |
| Industries served | AI / LLM Workflows, Research & Academia, Developer Tools, E-commerce | E-commerce, Marketing Analytics, Research & Academia, AI / LLM Workflows |
Exa vs Apify: overview
Exa
Exa (formerly Metaphor, rebranded 2024) is an AI-native search API that uses neural retrieval rather than SERP scraping. Its search index is optimised for semantic relevance rather than keyword ranking, with an Instant mode delivering results in under 180ms and a highlights feature that reduces LLM token usage by up to 90%. In independent FRAMES benchmark testing Exa achieved 54.4% accuracy versus competitors at 44.5% and 21.6%. Exa is SOC 2 Type II certified with a Zero Data Retention option. Notable clients include Cursor, AWS, Databricks, Groq, HubSpot, Cognition (Devin AI), and Monday.com (per company website; independently unverifiable).
Apify
Apify is a cloud web scraping and automation platform that provides search API capabilities through its Actor marketplace — a library of 3,000+ pre-built web scrapers and automation scripts runnable via REST API. Actors for Google Search, Bing, DuckDuckGo, Amazon, and hundreds of other sources are available as ready-to-use endpoints. Unlike SERP API SaaS products, each Actor runs in an isolated container with managed proxies and configurable output schemas. Apify was founded in 2015 by Jan Curn and Jakub Kopecký and is headquartered in Prague, Czech Republic. It serves 50,000+ developers and 1,000+ enterprise clients (per company website; independently unverifiable).
Services and capabilities: Exa vs Apify
| Capability | Exa | Apify |
|---|---|---|
| Real-time web search | ✓ | ✗ |
| News & event intelligence | ✗ | ✗ |
| Structured JSON output | ✓ | ✓ |
| AI / LLM pipeline integration | ✓ | ✗ |
| Scheduled monitoring | ✗ | ✗ |
| Multi-language coverage | ✗ | ✗ |
Tech stack comparison: Exa vs Apify
| Framework / platform | Exa | Apify |
|---|---|---|
| REST API | ✓ | ✓ |
| Python SDK | ✓ | ✓ |
| JSON output | ✓ | N/A |
| LLM validation | N/A | N/A |
| Webhook delivery | N/A | N/A |
Pricing comparison: Exa vs Apify
| Criterion | Exa | Apify |
|---|---|---|
| Minimum engagement | $0 (free tier; 20,000 requests/month) | $5/month (Free plan with $5 platform credits) |
| Engagement models | Free tier, Pay-as-you-go, Enterprise contract | Free tier, Monthly subscription, Enterprise contract |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Exa vs Apify
| Dimension | Exa | Apify |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | AI / LLM Workflows, Research & Academia, Developer Tools | E-commerce, Marketing Analytics, Research & Academia |
| Best use cases | AI agent research workflows requiring semantically relevant results rather than keyword-ranked SERP pages, LLM context retrieval where minimising token usage matters — highlights cuts context by up to 90% | Competitive intelligence scraping across dozens of sources using community Actors rather than building custom scrapers, E-commerce price monitoring across multiple retailers with normalised JSON output schemas |
| Typical project type | Free tier | Free tier |
Exa vs Apify: pros and cons
| Exa | |
|---|---|
| + | 20,000 free searches/month — most generous free tier of any neural search API in this category |
| + | Highlights feature reduces downstream LLM token usage by up to 90%, materially cutting inference costs |
| + | <180ms latency with Exa Instant mode — suitable for user-facing real-time agent applications |
| + | 54.4% accuracy on FRAMES benchmark vs 44.5% and 21.6% for next competitors in independent testing |
| + | SOC 2 Type II certified with Zero Data Retention option for compliance-sensitive pipelines |
| + | Native MCP server and OpenAI-compatible SDK — integrates into existing agent frameworks without glue code |
| - | $7/1K searches is expensive for bulk SERP volume use cases — DataForSEO is ~11,600× cheaper per query |
| - | Deep Search ($12/1K) and Deep Reasoning ($15/1K) costs accumulate quickly for multi-step research workflows |
| - | Optimised for semantic relevance, not exact keyword SERP matching — not a drop-in replacement for rank-tracking tools |
| Apify | |
|---|---|
| + | 3,000+ pre-built Actors for Google, Bing, Amazon, LinkedIn, and niche sources — no custom scraper code required |
| + | Each Actor runs in an isolated container with managed proxies — eliminates scraping infrastructure and proxy rotation |
| + | Highly customisable: modify Actor source code, define output schemas, chain Actors for multi-step extraction pipelines |
| + | Scheduling and webhooks enable event-driven and recurring data collection without custom orchestration |
| + | $5 monthly free credit covers meaningful testing across multiple Actors before committing to paid usage |
| - | Billing complexity — compute units, Actor costs, and proxy usage billed separately, harder to estimate than per-query SERP pricing |
| - | Google Search Actors are community-maintained — quality and freshness vary; some break when Google updates its HTML structure |
| - | Actor cold-start latency makes Apify unsuitable for real-time or sub-second search response requirements |
| - | No SOC2, SLA, or enterprise compliance certifications documented for the core platform |
Who should choose Exa?
Exa is the right choice for aI agent and LLM developers needing semantic neural search with <180ms latency and token-efficient structured output.
Neural search built for agents — not a SERP scraper — with 90% token reduction via highlights and 54.4% FRAMES accuracy. Minimum engagement starts at $0 (free tier; 20,000 requests/month). Works best with clients in AI / LLM Workflows, Research & Academia, Developer Tools, E-commerce.
Who should choose Apify?
Apify is the right choice for developers needing flexible, customisable data extraction from any web source with managed proxies and no infrastructure overhead.
3,000+ pre-built Actors (scrapers) for any website, each runnable as an API endpoint — more flexible than fixed-schema SERP APIs, at the cost of actor-level quality variance. Minimum engagement starts at $5/month (Free plan with $5 platform credits). Works best with clients in E-commerce, Marketing Analytics, Research & Academia, AI / LLM Workflows.
Decision matrix: Exa vs Apify
| Your situation | Recommended choice |
|---|---|
| You need maximum recall across trade press and regional sources | Exa |
| You need sub-second real-time results | Apify |
| Your budget is at the lower end | Apify |
| You need structured data for downstream LLM processing | Exa |
| 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: Exa vs Apify
| Use case | Exa fit | Apify fit | Winner |
|---|---|---|---|
| AI agent research workflows requiring semantically relevant results rather than keyword-ranked SERP pages | Strong | Strong | Both equally |
| LLM context retrieval where minimising token usage matters — highlights cuts context by up to 90% | Strong | Limited | Exa |
| Competitive intelligence scraping across dozens of sources using community Actors rather than building custom scrapers | Limited | Strong | Apify |
| E-commerce price monitoring across multiple retailers with normalised JSON output schemas | Limited | Strong | Apify |
| Financial risk monitoring | Limited | Limited | Both equally |
| LLM knowledge base population | Strong | Limited | Exa |
Verdict: Exa vs Apify
Exa (4.6/5) is the stronger overall choice for most Web Search API projects. Neural search built for agents — not a SERP scraper — with 90% token reduction via highlights and 54.4% FRAMES accuracy. It is best for aI agent and LLM developers needing semantic neural search with <180ms latency and token-efficient structured output.
Apify (3.8/5) is the better choice when developers needing flexible, customisable data extraction from any web source with managed proxies and no infrastructure overhead. If your situation matches those criteria, Apify is a competitive option.
Related comparisons
Exa vs Apify FAQ
Is Exa better than Apify?
Exa (4.6/5) scores higher overall, but "better" depends on your use case. Exa is better for aI agent and LLM developers needing semantic neural search with <180ms latency and token-efficient structured output. Apify is better for developers needing flexible, customisable data extraction from any web source with managed proxies and no infrastructure overhead.
How do Exa and Apify differ in pricing?
Exa uses pay-as-you-go ($7/1k searches); free tier (20k req/month) pricing with a minimum engagement of $0 (free tier; 20,000 requests/month). Apify uses usage-based ($5 free platform credits/month; $49/month starter); actor runs billed per compute unit pricing with a minimum engagement of $5/month (Free plan with $5 platform credits). Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Exa or Apify?
Apify 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 Exa and Apify?
Exa's primary differentiator is: neural search built for agents — not a serp scraper — with 90% token reduction via highlights and 54.4% frames accuracy. Apify's primary differentiator is: 3,000+ pre-built actors (scrapers) for any website, each runnable as an api endpoint — more flexible than fixed-schema serp apis, at the cost of actor-level quality variance. They also differ in team size (11–50 vs 51–200), minimum engagement ($0 (free tier; 20,000 requests/month) vs $5/month (Free plan with $5 platform credits)), and primary industries served (AI / LLM Workflows, Research & Academia vs E-commerce, Marketing Analytics).
Last reviewed: June 2026. Verify all details directly with each provider before making a decision.