# Apify vs Fleak

Apify records 4,147,762 monthly visits with +3.9% month-over-month growth and Freemium, Contact for Pricing pricing. Fleak records 3,778 monthly visits with -24.4% growth and Freemium, Contact for Pricing pricing.

| Metric | [Apify](https://openaitools.app/tool/apify) | [Fleak](https://openaitools.app/tool/fleak-ai-workflows) |
| :--- | :--- | :--- |
| Website URL | https://www.apify.com | https://fleak.ai |
| Categories | AI Web Scraping, AI Agent, AI API, AI Developer Tools | AI Workflow, AI API, No-Code&Low-Code, Large Language Models (LLMs) |
| Pricing Model | Freemium, Contact for Pricing | Freemium, Contact for Pricing |
| Monthly Visits | 4,147,762 | 3,778 |
| MoM Growth Rate | +3.9% | -24.4% |
| Primary Market | United States | United States |
| Direct Visits | 1,816,433 | 1,500 |
| Review Score | 4.6 | 4.2 |
| Saved Count | 6 | 1 |
| Supported Platforms | Website | Website |

## Apify

Apify started as a general-purpose web automation cloud and has grown into one of the largest marketplaces of turnkey web data extractors. The platform exposes a store of Actors — small containerized programs built by Apify and by third-party developers — that handle jobs like pulling Google Maps listings, TikTok videos, Instagram posts, Amazon prices, or crawling a documentation site into clean Markdown for a RAG pipeline. Each Actor runs on Apify's cloud, can be triggered from an API, scheduled on a recurring basis, and wired into downstream storage or applications.\n\nBecause running scrapers in production is mostly an infrastructure problem, Apify bundles the unglamorous parts: rotating residential and datacenter proxies, browser fingerprinting and anti-blocking, retry logic, dataset and key-value storage, and monitoring. Developers who would rather write their own code can build Actors with the Apify SDK in Python or JavaScript, or use Crawlee, Apify's open-source crawling and browser-automation library, which works with Playwright, Puppeteer, Selenium, and BeautifulSoup.\n\nRecently the platform has positioned itself around AI: the Apify MCP server and CLI let AI agents and assistants discover and call Actors as tools, and the Website Content Crawler Actor is explicitly designed to feed LLM applications and vector databases. Pricing follows a freemium model with monthly platform credits, pay-per-usage pricing for many Actors, and custom enterprise agreements.

**Pricing & Plans:** Freemium: a free plan with monthly usage credits, paid subscription tiers that scale credits and concurrency, consumption-based charges for many marketplace Actors, and custom enterprise pricing. Developer payouts are also available for published Actors.

- **Actor marketplace:** Over one hundred thousand ready-to-run scrapers and automation tools covering social media, maps, e-commerce, real estate, and general web crawling.
- **MCP server and CLI:** Connect Apify Actors directly to AI assistants and agents so they can search the store, run scrapers, and pull structured results as tool calls.
- **Anti-blocking and proxy infrastructure:** Managed proxy rotation and unblocking are built into the platform, so scrapers keep working when target sites add defenses.
- **Crawlee and the Apify SDK:** An open-source crawling library plus Python and JavaScript SDKs for building custom Actors with Playwright, Puppeteer, Selenium, or Cheerio.
- **Scheduling, storage, and integrations:** Recurring runs, dataset exports to CSV/JSON/Excel, webhooks, and integrations with LangChain, LlamaIndex, Zapier, and thousands of apps.

**Strengths:** Enormous library of maintained scrapers means many jobs need no code at all; Infrastructure concerns like proxies, retries, and blocking are handled for you; Agent-ready through MCP, CLI, and API, with LangChain and LlamaIndex integrations; Generous free tier for testing plus a developer revenue-share program

**Limitations:** Costs scale with usage, so high-volume scraping can get expensive quickly; Quality varies between community-built Actors and first-party ones; Target sites change frequently, so some Actors break or need updating over time

[Profile (Markdown)](https://openaitools.app/tool/apify.md)

## Fleak

Fleak addresses a problem most security teams recognize: SIEM bills are driven by volume, not by value. Routine logins, benign DNS queries, bulk EDR telemetry and ordinary cloud audit calls are ingested at hot-path prices even though analysts never alert on them, and every new source arrives with its own parser and schema variation. Fleak interposes a pipeline layer that identifies each event type, checks what every downstream tool needs, then reshapes and routes the log accordingly — correlation data to the SIEM, hunt corpora to object-storage-priced lakes, compliance records to an archive, and pure noise nowhere at all.\n\nThe platform's defining characteristic is that the pipelines maintain themselves. Teams describe the routing they want in plain English and Fleak's copilot builds it; when a vendor renames a field or an agent version changes a log format, Fleak detects the drift, generates corrected configuration and redeploys, with human review optional. The vendor claims an average self-heal time of about three minutes and cites reductions of 60–80% in SIEM ingest with 30–50% lower SOC spend.\n\nFleak supports 500+ integrations and can run as managed SaaS, in your own cloud, on-premise or air-gapped. Governance features include fine-grained access control at the data layer, full audit trails, in-flight PII masking, SOC 2 Type II alignment, and an explicit commitment that production data never touches an AI model. Beyond SIEM cost optimization it targets detection engineering, SIEM migrations and bake-offs, Cribl Lake migration, observability log optimization, OT/IoT telemetry normalization, and AI agent observability including an MCP server.

**Pricing & Plans:** Freemium entry with paid plans quoted through sales — Fleak publishes no public price list, so teams typically need to book a demo for a quote based on data volume and deployment model (managed SaaS, customer cloud, on-premise or air-gapped).

- **Intent-based routing:** Fleak evaluates each event type against what every downstream tool needs, then sends real-time correlation to the SIEM, hunt data to the lake, compliance logs to the archive and noise nowhere.
- **Self-healing pipelines:** When an upstream source changes its schema, Fleak detects the drift, generates corrected configuration and redeploys — the vendor cites an average heal time around three minutes.
- **OCSF and UDM normalization:** Every source is normalized into a single schema on arrival, so 280 sources stop meaning 280 parsers and 280 detection variations.
- **AI copilot and MCP server:** Pipelines can be described in plain English and built automatically, with an MCP server and AI observability for agent sessions.
- **Governed delivery anywhere:** Fine-grained access control at the data layer with full audit trails, in-flight PII masking and SOC 2 Type II alignment, deployable as SaaS, in your cloud, on-premise or air-gapped.

**Strengths:** Positions itself as a layer in front of the SIEM rather than a replacement, so existing detection investments stay useful; Self-healing pipelines remove much of the manual parser maintenance that breaks rules after vendor updates; Single-schema normalization (OCSF/UDM/CSF) simplifies detection logic across hundreds of sources; Deployment flexibility including on-premise and air-gapped, with an explicit claim that production data never touches an AI model

**Limitations:** No published pricing, so budgeting requires a sales conversation; Value depends on having enough log volume and tool sprawl for routing savings to outweigh the integration effort; The self-heal and cost-reduction figures cited on the site are vendor-provided benchmarks rather than independently verified results

[Profile (Markdown)](https://openaitools.app/tool/fleak-ai-workflows.md)

## Frequently Asked Questions

### How do Apify and Fleak compare in monthly traffic?

Apify has 4,147,762 monthly visits, while Fleak has 3,778. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Apify has a month-over-month growth rate of +3.9%; Fleak has -24.4%.

### How does pricing compare?

Apify: Freemium, Contact for Pricing. Freemium: a free plan with monthly usage credits, paid subscription tiers that scale credits and concurrency, consumption-based charges for many marketplace Actors, and custom enterprise pricing. Developer payouts are also available for published Actors. Fleak: Freemium, Contact for Pricing. Freemium entry with paid plans quoted through sales — Fleak publishes no public price list, so teams typically need to book a demo for a quote based on data volume and deployment model (managed SaaS, customer cloud, on-premise or air-gapped).

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Datadog](https://openaitools.app/tool/datadog) | 5,175,760 | -4.8% | Freemium, Free Trial, Paid, Contact for Pricing, Free | Unified observability, security and incident response for cloud-scale engineering teams | [.md](https://openaitools.app/tool/datadog.md) |
| 2 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Automate work across thousands of apps — no code required | [.md](https://openaitools.app/tool/zapier-com.md) |
| 3 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) |
| 4 | [Firecrawl](https://openaitools.app/tool/firecrawl-dev) | 1,828,239 | -1.9% | Freemium, Contact for Pricing | Provides direct LLM-ready markdown conversion via API, but lacks Apify's massive marketplace of pre-built scraping actors. | [.md](https://openaitools.app/tool/firecrawl-dev.md) |
| 5 | [Clay](https://openaitools.app/tool/clay-2-0) | 1,267,465 | -2.7% | Freemium, Free Trial, Contact for Pricing | Build GTM systems that turn data into revenue | [.md](https://openaitools.app/tool/clay-2-0.md) |
| 6 | [Bright Data](https://openaitools.app/tool/bright-data) | 802,752 | -5.9% | Free Trial, Paid | Offers enterprise-grade proxy networks and raw web data infrastructure, but lacks Apify's plug-and-play actor marketplace. | [.md](https://openaitools.app/tool/bright-data.md) |
| 7 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Build, share, and control AI agents that actually do the work | [.md](https://openaitools.app/tool/gumloop.md) |
| 8 | [PhantomBuster](https://openaitools.app/tool/phantombuster) | 279,012 | -10.1% | Freemium, Free Trial, Paid | Focuses heavily on pre-built social media automation and lead generation workflows rather than general web scraping. | [.md](https://openaitools.app/tool/phantombuster.md) |
| 9 | [Octoparse](https://openaitools.app/tool/octoparse) | 184,251 | +1.2% | Freemium, Free Trial, Paid, Contact for Pricing | Uses visual point-and-click scraping workflows instead of Apify's developer-centric actor ecosystem and cloud execution. | [.md](https://openaitools.app/tool/octoparse.md) |
| 10 | [Airbyte](https://openaitools.app/tool/airbyte) | 151,332 | -18.6% | Freemium, Free Trial, Paid | Open-source data integration engineered for AI agents and analytics | [.md](https://openaitools.app/tool/airbyte.md) |

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Source: https://openaitools.app/compare/apify-vs-fleak-ai-workflows

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)