# BrowserAct vs DeepSeek

BrowserAct records 99,679 monthly visits with -15.2% month-over-month growth and Freemium, Paid, Credit-based, Contact for Pricing pricing. DeepSeek records 372,761,591 monthly visits with +4.3% growth and Freemium pricing.

| Metric | [BrowserAct](https://openaitools.app/tool/browseract) | [DeepSeek](https://openaitools.app/tool/deepseek) |
| :--- | :--- | :--- |
| Website URL | https://www.browseract.com | https://www.deepseek.com |
| Categories | AI Browsers, AI API, AI Web Scraping, AI Workflow | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot |
| Pricing Model | Freemium, Paid, Credit-based, Contact for Pricing | Freemium |
| Monthly Visits | 99,679 | 372,761,591 |
| MoM Growth Rate | -15.2% | +4.3% |
| Primary Market | United States | China |
| Direct Visits | 36,247 | 291,585,405 |
| Review Score | 4.3 | 4.8 |
| Saved Count | 1 | 44 |
| Supported Platforms | Website | Website |

## BrowserAct

BrowserAct targets the unglamorous middle of web scraping: the part where selectors break, captchas appear, and layouts change. Rather than hand-writing scrapers or maintaining browser infrastructure, you describe the fields you want — product names, prices, stock status, ratings — and the platform's AI agent explores the target site, identifies where that data lives, and produces a tested, reusable Bot. Building runs on a credit model, and re-running a finished Bot costs a fraction of the build, with results delivered as a spreadsheet or streamed downstream.

Under the hood the platform manages the parts of scraping that usually cause the most maintenance pain. It handles dynamic content, residential proxy rotation, browser fingerprinting across dozens of attributes, automatic captcha solving for common challenges such as reCAPTCHA, Turnstile and DataDome, and 24/7 scheduled runs in a cloud browser runtime without local setup. Sessions can start fresh each time or persist a signed-in profile for sites that require authentication. When a site changes its layout, self-healing logic re-locates the data instead of failing the whole run.

BrowserAct positions itself both as a standalone tool and as a way to give your own AI agent a browser. Beyond scheduled scrapes and price monitoring with email alerts, it functions as a data source for agent workflows, exposing results through CSV, JSON, APIs, webhooks, and integrations with Make, n8n, Zapier, Google Sheets, Airtable, and MCP. Typical users include e-commerce teams tracking competitor pricing, analysts gathering customer and supplier research, and sales teams building lead lists from public business directories.

**Pricing & Plans:** Usage is credit-based, with a free trial and free plan to start; building a Bot consumes more credits than running an existing one. Paid tiers, credit volumes, and enterprise arrangements are listed on the pricing page and vary by scale.

- **Describe-and-build extraction bots:** State the fields you need in natural language and the AI agent selects an extraction approach and returns a tested, reusable Bot.
- **Managed scraping infrastructure:** Residential proxies, browser stealth with consistent device fingerprints, and automatic handling of dynamic pages are built in.
- **Automatic captcha and anti-bot handling:** Common challenges such as reCAPTCHA, Turnstile and DataDome are solved automatically so runs complete unattended.
- **Self-healing after layout changes:** When a site is redesigned, the Bot re-locates the requested data on its own instead of breaking the pipeline.
- **Scheduled runs and monitoring:** Run Bots 24/7 in the cloud, track prices or stock on a schedule, and receive email alerts when results change.

**Strengths:** No coding or browser infrastructure management required; Handles proxies, fingerprints, captchas and dynamic content automatically; Self-healing bots reduce the maintenance burden of long-term scraping; Broad output options including API, webhooks, MCP and popular no-code tools

**Limitations:** Credit consumption means heavy users need to monitor costs; Complex or unusually protected sites may still need manual tuning; Bot reliability ultimately depends on how stable the target site is

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

## DeepSeek

DeepSeek (Hangzhou DeepSeek Artificial Intelligence Co., Ltd.) is a frontier AI research organization that disrupted the global LLM market by pairing open-weight transparency with breakthrough Mixture-of-Experts (MoE) and reinforcement-learning reasoning efficiency. Following the landmark releases of DeepSeek-V3 and the peer-reviewed DeepSeek-R1 reasoning model, DeepSeek introduced the DeepSeek-V4 generation in 2026—featuring a hybrid attention architecture and a native 1-million-token context window across DeepSeek-V4-Pro (1.6T total parameters, 49B active per token) and DeepSeek-V4.1-Flash (284B total parameters, 13B active per token).

Users can interact with DeepSeek in three ways: completely free through the consumer web portal (chat.deepseek.com) and mobile apps with one-click toggles for deep thinking and live web search; via DeepSeek's hosted, OpenAI-compatible developer API; or by self-hosting DeepSeek's open-weight checkpoints (including V3, R1, Prover-V2, and distilled Qwen/Llama variants) on private infrastructure. The models excel at competitive mathematics, algorithm design, repository-level software engineering, and structured data extraction, with automatic context caching on the API that slashes repeated prompt costs by over 95%.

In late 2026, DeepSeek remains the price-performance benchmark for developers and automation workflows. While the consumer chat interface remains free without a mandatory $20/month subscription tier, the developer API transitioned in late 2026 to two primary endpoints—`deepseek-flash` and `deepseek-v4-pro`—with time-of-day pricing. Off-peak API calls cost just $0.15 per million input tokens ($0.003 on cache hits) and $0.60 per million output tokens on Flash, and $0.66 input / $1.98 output on V4-Pro, making it a fraction of the cost of comparable Western frontier models.

**Pricing & Plans:** Free web and mobile chat app at chat.deepseek.com; pay-as-you-go OpenAI-compatible API with off-peak rates at $0.15/1M input ($0.003 cache hit) and $0.60/1M output for deepseek-flash (V4.1-Flash), and $0.66/1M input ($0.022 cache hit) and $1.98/1M output for deepseek-v4-pro (peak weekday UTC hours bill at 2x).

- **DeepSeek-V4 Hybrid Attention & 1M Context:** Leverages a sparse Mixture-of-Experts architecture (49B active parameters out of 1.6T on V4-Pro) to process up to 1 million tokens with minimal latency and memory overhead.
- **Transparent Chain-of-Thought Reasoning:** Pioneered by DeepSeek-R1 and integrated into V3.2 and V4 thinking modes, exposing step-by-step self-verification for complex math, logic, and code debugging.
- **Automatic Context Caching & Off-Peak API Pricing:** Drops input token costs to $0.003/1M on Flash and $0.022/1M on V4-Pro for cache hits, with 50% lower rates during off-peak UTC hours.
- **Free Consumer Web & Mobile Assistant:** Provides free access at chat.deepseek.com and on iOS/Android with document uploads, reasoning mode, and web search without paywalling core models.
- **Open-Weight Ecosystem & Self-Hosting Freedom:** Offers open weights for DeepSeek-V3, R1, Distill variants, and Prover models on Hugging Face and GitHub so enterprises can deploy within air-gapped environments.

**Strengths:** Completely free consumer web and mobile app with deep reasoning and web search included; Ultra-low API token rates ($0.15/$0.60 on Flash, $0.66/$1.98 on V4-Pro off-peak) with up to 98% savings on cached inputs; Drop-in OpenAI API compatibility makes switching or routing between models effortless; Strong open-weight lineage allows teams to self-host or fine-tune models without vendor lock-in

**Limitations:** Hosted API and web app store data on servers in China, prompting compliance restrictions for some Western enterprises and government agencies; Peak-hour API pricing (01:00–04:00 and 06:00–10:00 UTC on weekdays) doubles per-token costs compared to off-peak rates; Lacks native voice mode, video generation, and productivity suite integrations offered by ChatGPT and Google Gemini

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

## Frequently Asked Questions

### How do BrowserAct and DeepSeek compare in monthly traffic?

BrowserAct has 99,679 monthly visits, while DeepSeek has 372,761,591. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

BrowserAct has a month-over-month growth rate of -15.2%; DeepSeek has +4.3%.

### How does pricing compare?

BrowserAct: Freemium, Paid, Credit-based, Contact for Pricing. Usage is credit-based, with a free trial and free plan to start; building a Bot consumes more credits than running an existing one. Paid tiers, credit volumes, and enterprise arrangements are listed on the pricing page and vary by scale. DeepSeek: Freemium. Free web and mobile chat app at chat.deepseek.com; pay-as-you-go OpenAI-compatible API with off-peak rates at $0.15/1M input ($0.003 cache hit) and $0.60/1M output for deepseek-flash (V4.1-Flash), and $0.66/1M input ($0.022 cache hit) and $1.98/1M output for deepseek-v4-pro (peak weekday UTC hours bill at 2x).

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [ChatGPT](https://openaitools.app/tool/chatgpt-4) | 6,048,022,723 | +2.2% | Freemium | Provides stronger multi-modal reasoning and agentic tools, but lacks DeepSeek's ultra-low-cost API pricing. | [.md](https://openaitools.app/tool/chatgpt-4.md) |
| 2 | [Google Gemini](https://openaitools.app/tool/gemini-gemini-advanced) | 2,637,398,242 | -0.1% | Freemium | Offers an enormous context window and deep Google ecosystem integration, but feels less specialized for pure reasoning tasks. | [.md](https://openaitools.app/tool/gemini-gemini-advanced.md) |
| 3 | [Claude](https://openaitools.app/tool/claude-2) | 1,253,439,413 | +23.8% | Freemium | Delivers superior long-form coding artifacts and nuanced writing, but lacks DeepSeek's specialized open-weight reasoning models. | [.md](https://openaitools.app/tool/claude-2.md) |
| 4 | [Grok](https://openaitools.app/tool/grok) | 203,846,050 | -0.8% | Freemium | Features real-time X social data integration, but is less cost-effective for dedicated developer coding workflows. | [.md](https://openaitools.app/tool/grok.md) |
| 5 | [Perplexity](https://openaitools.app/tool/perplexity-ai) | 88,310,223 | -3.7% | Freemium | Real-time AI answer engine and research workspace combining live web citations with frontier reasoning models. | [.md](https://openaitools.app/tool/perplexity-ai.md) |
| 6 | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) | 35,101,353 | -6.2% | Freemium | Provides comparable open-weight foundation models and multilingual performance, but requires self-hosting or third-party inference setup. | [.md](https://openaitools.app/tool/qwen-4.md) |
| 7 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | The AI coding agent for building ambitious software | [.md](https://openaitools.app/tool/cursor.md) |
| 8 | [Kimi AI](https://openaitools.app/tool/kimi-chat) | 19,632,261 | -23.4% | Free | Excels at ultra-long document analysis and research, but lacks the same level of open-weight developer community support. | [.md](https://openaitools.app/tool/kimi-chat.md) |
| 9 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Enables running open-source models locally on consumer hardware, but lacks DeepSeek's cloud-scale hosted reasoning power. | [.md](https://openaitools.app/tool/ollama.md) |
| 10 | [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) |

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Source: https://openaitools.app/compare/browseract-vs-deepseek

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