# Eigent AI vs Octoparse

Eigent AI records 575,703 monthly visits with +1.4% month-over-month growth and Freemium, Free Trial, Contact for Pricing pricing. Octoparse records 184,251 monthly visits with +1.2% growth and Freemium, Free Trial, Paid, Contact for Pricing pricing.

| Metric | [Eigent AI](https://openaitools.app/tool/eigent-ai) | [Octoparse](https://openaitools.app/tool/octoparse) |
| :--- | :--- | :--- |
| Website URL | https://www.eigent.ai | https://octoparse.com |
| Categories | AI Agent, AI Workflow, AI Productivity Tools, AI Browsers | AI Web Scraping, No-Code&Low-Code, AI Assistant |
| Pricing Model | Freemium, Free Trial, Contact for Pricing | Freemium, Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 575,703 | 184,251 |
| MoM Growth Rate | +1.4% | +1.2% |
| Primary Market | United States | United States |
| Direct Visits | 83,414 | 49,128 |
| Review Score | 4.4 | 4.5 |
| Saved Count | 0 | 4 |
| Supported Platforms | Website | Website |

## Eigent AI

Eigent positions itself as an open-source "Cowork Desktop" — a multi-agent workforce that lives on your machine rather than a closed cloud SaaS. In a session you give plain-language instructions, and a coordinating agent decomposes the work, dispatches specialist agents (browser, terminal, document, research), and streams a visible trajectory of searches, page reads, extractions, and file writes. Output is produced as real artifacts — Markdown briefs, CSVs, charts, HTML — alongside the reasoning trace, so you can inspect sources and compare revisions before accepting the result.

The product leans heavily on control and deployability. Execution can run locally or be self-hosted on infrastructure your team owns; secret handling and permission decisions stay bound locally. Agents can be paused for approvals on sensitive steps and asked questions even after an interruption, and an "Agent browser" restricts which targets agents may touch. Model selection is flexible: cloud providers, enterprise gateways, local models, and BYOK, switchable without rebuilding a workflow.

Eigent also introduces reusable "Spaces" that package agents, Skills, connectors, and instructions so a team sets up a working environment once and reuses it. Automation can be triggered on a schedule, event, or condition, and remote control lets you check progress through the browser or channels like WhatsApp. The project is developed in the open, with a share of subscription revenue going back to the CAMEL-AI open-source community.

**Pricing & Plans:** Freemium plus paid tiers. The Free plan provides the open-source desktop app with BYOK and local models at $0. The Plus plan is listed at $19.99/month with 2,000 monthly task credits and a 7-day free trial, and Pro at $99.99/month with 10,000 monthly credits and priority support. A Teams plan with central billing and shared libraries is marked coming soon, and Enterprise is custom-quoted with local deployment, security controls, and an agent RL environment. The fully open-source build can also be self-hosted for free.

- **Multi-agent cowork workforce:** A coordinating agent breaks a goal into steps and dispatches specialist browser, terminal, document, and research agents that work in parallel inside a local workspace.
- **Open source and self-hostable:** The desktop app is open source and can run locally or be self-hosted on your own infrastructure with your own keys, so data and secrets stay under your control.
- **Model agnostic, BYOK:** Connect cloud providers, enterprise gateways, or local models and switch between them without rebuilding workflows; use your own API keys or free local models.
- **Traceable results and approvals:** Follow each agent's searches, sources, and file changes, compare versions, then approve, revise, or ask a follow-up before accepting output.
- **Spaces, Skills, and automations:** Package reusable agent setups, Skills, and connectors into Spaces, and trigger work on a schedule, event, or condition with remote progress checks.

**Strengths:** Open source with a free self-hosted path and BYOK, avoiding vendor lock-in; Genuine multi-agent orchestration with visible reasoning and sources; Strong deployment flexibility: local, self-hosted, or enterprise; Reusable Spaces and automations reduce repeated setup work

**Limitations:** Requires some technical comfort to install, configure models, and manage permissions; Paid tiers are credit-metered, so heavy use needs cost monitoring; Some advertised team features are still marked coming soon

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

## Octoparse

Octoparse is built around a single promise: get structured data out of any webpage without writing code. The platform offers three entry points into the same task engine — run a ready-made template for a common target site, ask the AI Assistant to browse a site and assemble the scraping task, or start from auto-detect in the desktop application and refine the result with drag-and-drop controls. Because tasks are stored as reusable configurations, the same scraper can be scheduled and re-run long after it was first created.

The execution layer is where Octoparse differentiates itself from lighter browser extensions. Scrapers can navigate paginated results, fill in forms, log into authenticated areas, and clear CAPTCHA challenges, then return structured rows. For heavier workloads, Octoparse Cloud distributes a job across a fleet of real browsers, splits large jobs into parallel subtasks, and rotates IP addresses automatically so that long-running collections finish without a laptop staying awake overnight.

Data leaves the platform through exports, notifications, and integrations. Octoparse connects to AI tools, databases, cloud services and business applications, supports automatic export to destinations such as Google Sheets, and can trigger downstream workflows when new data lands. On the compliance side, the vendor advertises GDPR, CCPA and EU data protection alignment, and users can choose between running tasks locally for privacy or using the managed cloud.

**Pricing & Plans:** Freemium with a free tier and a free trial; paid plans are subscription-based and there is a contact-for-pricing enterprise tier. Exact credit and cloud-concurrency limits vary by plan, so check the current pricing page for up-to-date numbers.

- **AI Assistant task building:** Describe the site you want to scrape and let the AI Assistant browse it and assemble a working extraction task for you, then refine the selectors visually.
- **Ready-to-run template library:** Start from maintained bundles for Twitter/X, Google Maps, Amazon top lists, TikTok, Google SERPs and more, including search APIs via REST and MCP.
- **Cloud scaling with IP rotation:** Run tasks on a fleet of real cloud browsers with parallel subtasks and automatic IP rotation, so large jobs complete 24/7 without local hardware.
- **Dynamic site handling:** Navigate pagination, submit forms, authenticate into gated areas and handle CAPTCHAs, returning structured output from JavaScript-heavy sites.
- **Workflow and export integrations:** Export automatically to Google Sheets and other destinations, connect to databases, cloud services and AI tools, and trigger workflows on new data.

**Strengths:** Genuinely usable without programming — templates, AI Assistant and drag-and-drop cover most common sites; Cloud runtime with real browsers, parallel subtasks and IP rotation handles large or long-running jobs; Broad connector and export ecosystem, including Google Sheets and MCP-based search APIs for AI agents; Explicit compliance posture (GDPR, CCPA, EU data protection) and a choice of local or cloud execution

**Limitations:** Credit-based limits mean heavy scraping can escalate in cost quickly; Complex or anti-bot-hardened sites still require manual selector tuning and troubleshooting; The richest cloud, concurrency and scheduling features are gated behind higher-tier paid plans

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

## Frequently Asked Questions

### How do Eigent AI and Octoparse compare in monthly traffic?

Eigent AI has 575,703 monthly visits, while Octoparse has 184,251. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Eigent AI has a month-over-month growth rate of +1.4%; Octoparse has +1.2%.

### How does pricing compare?

Eigent AI: Freemium, Free Trial, Contact for Pricing. Freemium plus paid tiers. The Free plan provides the open-source desktop app with BYOK and local models at $0. The Plus plan is listed at $19.99/month with 2,000 monthly task credits and a 7-day free trial, and Pro at $99.99/month with 10,000 monthly credits and priority support. A Teams plan with central billing and shared libraries is marked coming soon, and Enterprise is custom-quoted with local deployment, security controls, and an agent RL environment. The fully open-source build can also be self-hosted for free. Octoparse: Freemium, Free Trial, Paid, Contact for Pricing. Freemium with a free tier and a free trial; paid plans are subscription-based and there is a contact-for-pricing enterprise tier. Exact credit and cloud-concurrency limits vary by plan, so check the current pricing page for up-to-date numbers.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Manus](https://openaitools.app/tool/manus) | 19,195,779 | -1.7% | Free Trial | Executes complex autonomous multi-step goals and browser tasks, but operates as a cloud service rather than open-source desktop software. | [.md](https://openaitools.app/tool/manus.md) |
| 2 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation platform with integrated AI agent nodes, but lacks Eigent's native desktop terminal and file manipulation. | [.md](https://openaitools.app/tool/n8n.md) |
| 3 | [Apify](https://openaitools.app/tool/apify) | 4,147,762 | +3.9% | Freemium, Contact for Pricing | Offers a massive marketplace of pre-built scrapers and robust developer APIs, but requires more technical configuration than Octoparse. | [.md](https://openaitools.app/tool/apify.md) |
| 4 | [WorkBuddy](https://openaitools.app/tool/workbuddy) | 2,341,262 | +43.9% | Freemium | Desktop AI workspace that turns task briefs into completed office deliverables, but lacks open-source transparency. | [.md](https://openaitools.app/tool/workbuddy.md) |
| 5 | [Clawdbot (OpenClaw)](https://openaitools.app/tool/clawdbot) | 1,903,068 | -25.4% | Paid, Free | Open-source personal AI assistant running locally, but focuses more on messaging integrations than heavy terminal orchestration. | [.md](https://openaitools.app/tool/clawdbot.md) |
| 6 | [Taskade](https://openaitools.app/tool/taskade) | 539,714 | -9.4% | Freemium | Generates business apps and automated agents from text prompts, but functions primarily as a collaborative cloud workspace. | [.md](https://openaitools.app/tool/taskade.md) |
| 7 | [Thunderbit](https://openaitools.app/tool/thunderbit) | 391,726 | -21.9% | Freemium, Contact for Pricing | Offers convenient natural language browser extension scraping, but lacks the deep scheduled server-side monitoring of Octoparse. | [.md](https://openaitools.app/tool/thunderbit.md) |
| 8 | [LlamaIndex](https://openaitools.app/tool/llamaindex) | 387,910 | +19.9% | Freemium, Contact for Pricing | Turn any document into AI-ready context with agentic parsing and extraction | [.md](https://openaitools.app/tool/llamaindex.md) |
| 9 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Excels at complex AI-driven data workflows and multi-step automation, but is less focused on simple visual scraping tasks. | [.md](https://openaitools.app/tool/gumloop.md) |
| 10 | [PhantomBuster](https://openaitools.app/tool/phantombuster) | 279,012 | -10.1% | Freemium, Free Trial, Paid | Specializes heavily in social media scraping and automated growth workflows, but offers fewer general web extraction features. | [.md](https://openaitools.app/tool/phantombuster.md) |

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Source: https://openaitools.app/compare/eigent-ai-vs-octoparse

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