CatchAll vs Apify: full comparison for 2026
Last updated: June 2026
Quick verdict
CatchAll (4.8/5) edges ahead of Apify (3.8/5) overall. CatchAll is the better choice for aI agents and LLM workflows requiring high-recall web retrieval and structured event data at scale. 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.
CatchAll vs Apify: head-to-head summary
| Criterion | CatchAll | Apify |
|---|---|---|
| Founded | 2021 | 2015 |
| HQ | Middletown, DE, USA | Prague, Czech Republic |
| Team size | 11–50 | 51–200 |
| Rating | 4.8 / 5 | 3.8 / 5 |
| Best for | AI agents and LLM workflows requiring high-recall web retrieval and structured event data at scale | Developers needing flexible, customisable data extraction from any web source with managed proxies and no infrastructure overhead |
| Pricing model | Pay-per-result ($0.10/record); free tier available | Usage-based ($5 free platform credits/month; $49/month starter); Actor runs billed per compute unit |
| Min. engagement | $0 (free tier; 2,000 credits on signup) | $5/month (Free plan with $5 platform credits) |
| Primary tech stack | REST API, Python SDK, JSON output | REST API, JavaScript/Node.js SDK, Python SDK |
| Industries served | AI / LLM Workflows, Financial Services, Government, Research & Academia, Media Monitoring | E-commerce, Marketing Analytics, Research & Academia, AI / LLM Workflows |
CatchAll vs Apify: overview
CatchAll
CatchAll is the web search API from NewsCatcher (Y Combinator–backed), built around complete dataset retrieval rather than top-ranked results. CatchAll scans 50,000+ pages per job at ~10,000 pages/minute, applies LLM-based validation via Leiden algorithm clustering, and returns structured JSON records with source citations. In an independent March 2026 benchmark across 6,025 observable events, CatchAll achieved 79.8% recall and F1 score of 0.705 — compared to 0.317 for the next closest competitor. NewsCatcher is ISO-certified, SOC2 Type II–certified, and GDPR-ready, with 99.95% platform uptime and a 5-minute source-to-signal latency. Notable enterprise clients include the US Department of State, Samsung, UC Berkeley, HCOB, and Transparency International (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: CatchAll vs Apify
| Capability | CatchAll | Apify |
|---|---|---|
| Real-time web search | ✓ | ✗ |
| News & event intelligence | ✓ | ✗ |
| Structured JSON output | ✓ | ✓ |
| AI / LLM pipeline integration | ✓ | ✗ |
| Scheduled monitoring | ✓ | ✗ |
| Multi-language coverage | ✗ | ✗ |
Tech stack comparison: CatchAll vs Apify
| Framework / platform | CatchAll | Apify |
|---|---|---|
| REST API | ✓ | ✓ |
| Python SDK | ✓ | ✓ |
| JSON output | ✓ | N/A |
| LLM validation | ✓ | N/A |
| Webhook delivery | N/A | N/A |
Pricing comparison: CatchAll vs Apify
| Criterion | CatchAll | Apify |
|---|---|---|
| Minimum engagement | $0 (free tier; 2,000 credits on signup) | $5/month (Free plan with $5 platform credits) |
| Engagement models | Pay-as-you-go, API subscription, Free tier | Free tier, Monthly subscription, Enterprise contract |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: CatchAll vs Apify
| Dimension | CatchAll | Apify |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | AI / LLM Workflows, Financial Services, Government | E-commerce, Marketing Analytics, Research & Academia |
| Best use cases | Tracking every product recall, funding round, or regulatory filing across trade press and regional sources, Feeding AI agent pipelines with high-recall structured web intelligence for downstream LLM processing | 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 | Pay-as-you-go | Free tier |
CatchAll vs Apify: pros and cons
| CatchAll | |
|---|---|
| + | Highest recall in independent benchmarks: 79.8% vs competitors' 26–32% across 6,025 observable events (March 2026) |
| + | Pay-per-validated-result pricing eliminates token waste — you only pay for records that pass LLM quality checks |
| + | Scans 50,000+ pages per job covering regional press, trade publications, and non-English sources most SERP APIs miss |
| + | Real-time event index with <5-minute source-to-signal latency and 2M+ events indexed daily |
| + | Enterprise-grade compliance: ISO-certified, SOC2 Type II, GDPR-ready, with 99.95% uptime SLA |
| + | Automated Monitors allow scheduled re-runs with built-in deduplication — no custom polling infrastructure needed |
| - | Base mode jobs take ~15 minutes to complete — not suited for sub-second real-time query patterns |
| - | Lite mode is capped at 100 results and lacks the full coverage depth of Base mode |
| - | Smaller ecosystem and community compared to established providers like SerpAPI or Bing Search API |
| 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 CatchAll?
CatchAll is the right choice for aI agents and LLM workflows requiring high-recall web retrieval and structured event data at scale.
Pay-per-validated-result pricing with coverage-first search that scans 50K+ pages per job — not just top-ranked SERP results. Minimum engagement starts at $0 (free tier; 2,000 credits on signup). Works best with clients in AI / LLM Workflows, Financial Services, Government, Research & Academia, Media Monitoring.
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: CatchAll vs Apify
| Your situation | Recommended choice |
|---|---|
| You need maximum recall across trade press and regional sources | CatchAll |
| You need sub-second real-time results | CatchAll |
| Your budget is at the lower end | Apify |
| You need structured data for downstream LLM processing | CatchAll |
| You need scheduled monitoring with deduplication | CatchAll |
| You need enterprise compliance (SOC2, GDPR, ISO) | CatchAll |
Use case fit: CatchAll vs Apify
| Use case | CatchAll fit | Apify fit | Winner |
|---|---|---|---|
| Tracking every product recall, funding round, or regulatory filing across trade press and regional sources | Strong | Limited | CatchAll |
| Feeding AI agent pipelines with high-recall structured web intelligence for downstream LLM processing | Strong | Limited | CatchAll |
| 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 | Strong | Limited | CatchAll |
| LLM knowledge base population | Strong | Limited | CatchAll |
Verdict: CatchAll vs Apify
CatchAll (4.8/5) is the stronger overall choice for most Web Search API projects. Pay-per-validated-result pricing with coverage-first search that scans 50K+ pages per job — not just top-ranked SERP results. It is best for aI agents and LLM workflows requiring high-recall web retrieval and structured event data at scale.
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
CatchAll vs Apify FAQ
Is CatchAll better than Apify?
CatchAll (4.8/5) scores higher overall, but "better" depends on your use case. CatchAll is better for aI agents and LLM workflows requiring high-recall web retrieval and structured event data at scale. Apify is better for developers needing flexible, customisable data extraction from any web source with managed proxies and no infrastructure overhead.
How do CatchAll and Apify differ in pricing?
CatchAll uses pay-per-result ($0.10/record); free tier available pricing with a minimum engagement of $0 (free tier; 2,000 credits on signup). 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: CatchAll 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 CatchAll and Apify?
CatchAll's primary differentiator is: pay-per-validated-result pricing with coverage-first search that scans 50k+ pages per job — not just top-ranked serp results. 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; 2,000 credits on signup) vs $5/month (Free plan with $5 platform credits)), and primary industries served (AI / LLM Workflows, Financial Services vs E-commerce, Marketing Analytics).
Last reviewed: June 2026. Verify all details directly with each provider before making a decision.