AI visibility report for Apify
Vertical: Web Data Infrastructure for AI
AI search visibility benchmark across 5 platforms in Web Data Infrastructure for AI.
Presence Rate
Top-3 citations across 125 prompt × platform pairs
Sentiment
Peer Ranking
Key Metrics
Platform Breakdown
Grok
Perplexity
Google AI Mode
Gemini Search
ChatGPTOverview
Apify is a Prague-based, full-stack web scraping and automation platform founded in 2015 by Jan Čurn and Jakub Balada. The platform enables businesses and developers to extract structured data from any website at scale through serverless cloud programs called Actors. Apify Store hosts over 26,000 pre-built Actors covering social media, e-commerce, maps, and more, while also allowing developers to publish and monetize their own tools. The platform provides managed infrastructure including proxy rotation, anti-blocking, scheduling, and cloud storage. Increasingly positioned for AI and LLM use cases, Apify supports RAG pipelines, LangChain, LlamaIndex, and offers an MCP server for AI agent integration. It is SOC2 Type II, GDPR, and CCPA compliant and serves over 25,000 customers worldwide including Intercom, Groupon, Siemens, and the European Commission.
Apify is a cloud platform for web scraping, browser automation, and AI data collection. Its core product is a serverless Actor runtime backed by a marketplace of 26,000+ community and Apify-built scrapers, enabling users to extract structured data from virtually any website with minimal setup. Actors handle proxy rotation, JavaScript rendering, CAPTCHA bypassing, and scaling automatically. For AI workloads, Apify provides a Website Content Crawler for LLM ingestion, LangChain and LlamaIndex integrations, and an MCP server that exposes Actors as callable tools for AI agents. Developers can also build, deploy, and monetize their own Actors. The platform is complemented by the open-source Crawlee library and professional services for enterprise deployments.
Key Facts
- Founded
- 2015
- HQ
- Prague, Czech Republic
- Founders
- Jan Čurn, Jakub Balada
- Employees
- 100-200
- Funding
- ~$3.29M
- ARR
- ~$13M
- Customers
- 25,000+
- Status
- Private
Target users
Key Capabilities10
- Marketplace of 26,000+ pre-built serverless scraping and automation Actors
- Cloud Actor runtime with automatic scaling, scheduling, and monitoring
- Built-in residential, datacenter, and SERP proxy rotation with anti-blocking
- MCP server for exposing Actors as tools to AI agents (e.g. Claude)
- Website Content Crawler for LLM/RAG pipeline ingestion (Markdown output)
- Open-source Crawlee library for JavaScript/TypeScript and Python
- Developer monetization: publish Actors to Store and earn monthly payouts
- SOC2 Type II, GDPR, and CCPA compliance with 99.95% uptime SLA
- Full REST API, CLI, and SDKs for programmatic integration
- Professional Services team for custom enterprise scraping solutions
Key Use Cases8
- Feeding web data into LLMs, RAG pipelines, and vector databases
- AI agent web browsing and real-time data retrieval via MCP
- Lead generation and CRM enrichment from web sources
- Competitive price monitoring across e-commerce
- Social media data collection (TikTok, Instagram, Facebook, LinkedIn)
- Market research and sentiment analysis at scale
- Training data collection for generative AI models
- Regulatory compliance monitoring (e.g. retailer price-tracking)
Apify customer outcomes
18% of support queries auto-resolved
Apify provided a production-ready cloud-based web crawler that allowed Intercom to expand its Fin AI chatbot's knowledge to external customer websites. Intercom reported Fin resolved 18% of all support queries automatically after launch.
2x leads to drive business
Apify's Professional Services team built a custom lead generation and Salesforce enrichment pipeline for Groupon's merchant acquisition campaign, delivering fresh lead databases on a short schedule.
60% reduction in average handle time; 50% lower operational costs
Acai Travel used Apify's Website Content Crawler to collect real-time data from 100+ airlines, scaling to onboard 10 new airlines per week and powering AI-driven travel operations tools.
800+ retailers monitored for compliance
The European Commission used Apify to monitor online retailer prices across Europe for consumer protection compliance, detecting fake discount infringements at scale.
Recent Trend
How AI describes Apify3
Pensó por 7s Apify, Bright Data, and tools like Portable.io (which bridges web scraping platforms to warehouses) stand out among web data extraction platforms for having strong prebuilt or native support for common data warehouse/lake destinations....
What web data extraction APIs have prebuilt connectors or plugins for common data warehouse and data lake destinations?
Apify : Flexible platform with a marketplace of pre-built "Actors" (scrapers), custom automation, and structured JSON exports.
What web data extraction services do ML engineering teams prefer when they need reliable structured output without writing custom parsers?
Thought for 6s Firecrawl, Spider.cloud, and Apify stand out as web scraping/crawling platforms with strong native or first-party integrations for vector databases (via document loaders/readers that feed embeddings) and LLM orchestration frameworks lik...
Which web scraping platforms integrate natively with vector databases and LLM orchestration frameworks for AI agent pipelines?
Most cited sources8
- 11
Apify: Full-stack web scraping and data extraction platform
apify.com·Documentation
- 10
Connect Apify with everything you build · Apify
apify.com·Documentation
- B8
Jina AI vs. Firecrawl for web-LLM extraction
blog.apify.com·Blog Post
- B7
Oxylabs vs. Bright Data for web scraping
blog.apify.com·Blog Post
- B7
Best web scraping APIs
blog.apify.com·Blog Post
- 6
Website to Markdown Converter for AI & RAG Pipelines · Apify
apify.com·Documentation
Alternatives in Web Data Infrastructure for AI6
Apify differentiates as a full-stack, marketplace-first web data platform combining a developer-friendly cloud runtime (Actors), a large open marketplace of 26,000+ pre-built scrapers, and managed infrastructure (proxies, anti-blocking, scheduling).
- Unlike pure proxy networks (Bright Data, Oxylabs) or narrow LLM-focused crawlers (Firecrawl, Jina AI), Apify competes across all layers: infrastructure, tooling, and a monetizable ecosystem where third-party developers publish and earn revenue from Actors.
- Its MCP server integration positions it specifically for AI agent workflows.
- Pricing starts at a lower self-serve entry point than most enterprise competitors, with Capterra reviewers noting it delivers 'about 80% of Bright Data's capability at a fraction of the cost.'
Reviews
Praised
- Large library of ready-made Actors
- Easy to get started with pre-built scrapers
- Reliable cloud infrastructure and 99.95% uptime
- Well-documented API and SDKs
- Cost-effective vs. enterprise alternatives like Bright Data
- Seamless integration with AI frameworks (LangChain, LlamaIndex, MCP)
- Developer monetization through Actor Store
- Strong customer and technical support
Criticized
- Steep learning curve for non-developers
- Unpredictable compute unit costs at scale
- Variable quality among community-built Actors
- Cluttered and sometimes confusing dashboard
- Limited transparency on partial-failure or silent errors in runs
- Scheduling lacks dynamic date range configuration
- Some sophisticated anti-bot targets remain difficult
- Mobile management experience is clunky
Apify receives highly positive user sentiment, particularly praised for its large ready-made Actor library, ease of getting started, reliable infrastructure, and well-documented API. Enterprise and mid-market users highlight it as a cost-effective alternative to Bright Data. Common criticisms include an initial learning curve for understanding compute unit pricing, variability in community Actor quality, a cluttered dashboard, and occasional difficulty with sophisticated anti-bot targets. Reviewers across Capterra and G2 frequently cite time savings of 40–70% on manual data tasks and seamless integration with AI and automation workflows.
Pricing
Apify offers four self-serve tiers billed monthly (10% discount for annual billing): Free ($0, includes $5 in platform credits), Starter ($29/month with $29 prepaid usage), Scale ($199/month with $199 prepaid usage and priority chat support), and Business ($999/month with $999 prepaid usage and a dedicated account manager). All paid plans include pay-as-you-go overages. Compute unit (CU) pricing ranges from $0.30/CU (Free/Starter) to $0.20/CU (Business). Residential proxies are $7–$8/GB depending on plan. Enterprise plans are custom-priced with SLAs and dedicated delivery teams. Add-ons include additional Actor RAM ($2/GB), concurrent runs ($5/run), datacenter proxy IPs, priority support ($100), and personal training ($150/hour). Unused prepaid credits do not roll over.
Limitations
- Reviewers consistently cite a steep learning curve for non-developers, particularly around understanding compute units and Actor-specific pricing, which can lead to unpredictable costs.
- Community-built Actors vary significantly in quality, maintenance, and reliability; some are abandoned or silently broken.
- The dashboard is described as cluttered when managing multiple scrapers simultaneously.
- Scheduling lacks dynamic date range adjustment.
- Some sophisticated anti-scraping targets remain challenging even with built-in unblocking.
- Partial-failure transparency (fewer results than expected without clear error signals) is a noted pain point for production pipelines.
Frequently asked questions
Topic Coverage
Prompt-Level Results
| Prompt | ChatGPT | Gemini Search | Perplexity | Grok | Google AI Mode |
|---|---|---|---|---|---|
Capability2/5 cited (40%) | |||||
I need to extract and chunk web content automatically for an LLM agent — which web data services offer built-in chunking or semantic splitting? | |||||
Looking for a web extraction platform that converts full websites into structured markdown for a retrieval-augmented generation system — what are my options? | |||||
Which proxy network services support session-based scraping with geotargeting at the city level for market intelligence use cases? | |||||
Which web scraping APIs can reliably handle JavaScript-heavy single-page applications and return clean structured data for AI training? | |||||
What web crawling platforms handle anti-bot detection well enough to reliably extract product data from major e-commerce sites at scale? | |||||
Developer Experience5/5 cited (100%) | |||||
What web data extraction services do ML engineering teams prefer when they need reliable structured output without writing custom parsers? | |||||
Which web scraping APIs have the best developer experience for a Python-first team building data pipelines for AI applications? | |||||
Which platforms for converting web content to LLM-ready formats have the clearest docs and the best debugging tools? | |||||
What do developers say about the day-to-day workflow for managing large-scale crawl jobs across different web extraction platforms? | |||||
I'm a tech lead evaluating proxy and scraping platforms — which ones have SDKs and client libraries that don't feel like an afterthought? | |||||
Integrations & Ecosystem4/5 cited (80%) | |||||
What web data extraction APIs have prebuilt connectors or plugins for common data warehouse and data lake destinations? | |||||
What web data infrastructure platforms work best alongside open-source LLM orchestration tools for building self-updating knowledge bases? | |||||
Which proxy or web scraping services offer webhook support and event-driven data delivery for real-time AI data ingestion workflows? | |||||
Which web scraping platforms integrate natively with vector databases and LLM orchestration frameworks for AI agent pipelines? | |||||
I'm building an AI agent that needs live web data — which web crawling APIs expose a simple REST or function-calling interface for agent use? | |||||
Performance & Reliability4/5 cited (80%) | |||||
I'm running a high-volume crawl pipeline for LLM fine-tuning data — which web data platforms scale to 10M+ pages per month reliably? | |||||
Which web scraping API providers have the best uptime and success rate guarantees for production AI data pipelines? | |||||
What are the fastest web content extraction APIs for real-time RAG use cases where latency under 2 seconds matters? | |||||
What web extraction services do teams use when they need consistent structured output quality across dynamic and static pages at production scale? | |||||
Which enterprise proxy network providers can handle millions of requests per day without significant rate-limit failures or IP bans? | |||||
Setup & First Run4/5 cited (80%) | |||||
What's the easiest web scraping API to get running in under an hour for a solo dev building an LLM data pipeline? | |||||
Which proxy network providers make it easiest to get rotating residential IPs set up without a lengthy sales process? | |||||
I'm evaluating web data extraction platforms for an AI startup — which ones let me go from signup to first successful structured data extraction the fastest? | |||||
What are the best web crawling APIs for a small team that wants clean markdown output for LLM ingestion with minimal configuration? | |||||
I'm building a RAG pipeline and need to pull content from hundreds of URLs — which web extraction services have the fastest onboarding? | |||||
Strengths3
I'm building a RAG pipeline and need to pull content from hundreds of URLs — which web extraction services have the fastest onboarding?
Avg # 1.0 · 1 platform
Which proxy or web scraping services offer webhook support and event-driven data delivery for real-time AI data ingestion workflows?
Avg # 2.0 · 1 platform
Looking for a web extraction platform that converts full websites into structured markdown for a retrieval-augmented generation system — what are my options?
Avg # 4.0 · 2 platforms
Gaps5
I'm running a high-volume crawl pipeline for LLM fine-tuning data — which web data platforms scale to 10M+ pages per month reliably?
Competitors on 4 platforms
Which web scraping API providers have the best uptime and success rate guarantees for production AI data pipelines?
Competitors on 4 platforms
What web data extraction services do ML engineering teams prefer when they need reliable structured output without writing custom parsers?
Competitors on 3 platforms
Which web scraping platforms integrate natively with vector databases and LLM orchestration frameworks for AI agent pipelines?
Competitors on 3 platforms
I'm evaluating web data extraction platforms for an AI startup — which ones let me go from signup to first successful structured data extraction the fastest?
Competitors on 3 platforms
Vertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | Firecrawl | 56.0% | 37.7% | 8.0% | 50.4% | 54.4% | #21.9 | +0.43 |
| 2 | Bright Data | 44.8% | 18.8% | 4.8% | 42.4% | 44.0% | #25.1 | +0.40 |
| 3 | Apify | 24.8% | 12.5% | 6.4% | 17.6% | 24.8% | #31.4 | +0.37 |
| 4 | ScrapingBee | 23.2% | 8.9% | 0.8% | 20.0% | 23.2% | #25.7 | +0.46 |
| 5 | Zyte | 19.2% | 6.8% | 2.4% | 11.2% | 19.2% | #45.7 | +0.50 |
| 6 | Scrapfly | 14.4% | 3.3% | 1.6% | 10.4% | 13.6% | #23.0 | +0.42 |
| 7 | Oxylabs | 13.6% | 5.7% | 3.2% | 8.8% | 13.6% | #34.8 | +0.45 |
| 8 | Crawl4AI | 9.6% | 2.5% | 3.2% | 0.0% | 9.6% | #26.9 | +0.50 |
| 9 | Octoparse | 7.2% | 1.2% | 0.0% | 6.4% | 6.4% | #20.9 | +0.25 |
| 10 | Jina AI | 4.8% | 2.6% | 1.6% | 0.8% | 4.8% | #51.4 | +0.54 |
| 11 | Crawlee (by Apify) | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 12 | Diffbot | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
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