# Dust vs Thunderbit

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. Thunderbit records 391,726 monthly visits with -21.9% growth and Freemium, Contact for Pricing pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [Thunderbit](https://openaitools.app/tool/thunderbit) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://thunderbit.com |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Web Scraping, AI Lead Generation, AI Data Mining, AI Social Media |
| Pricing Model | Contact for Pricing | Freemium, Contact for Pricing |
| Monthly Visits | 547,217 | 391,726 |
| MoM Growth Rate | +1.8% | -21.9% |
| Primary Market | France | United States |
| Direct Visits | 456,919 | 80,215 |
| Review Score | 4.4 | 4.4 |
| Saved Count | 5 | 1 |
| Supported Platforms | Website | Website |

## Dust

Dust positions itself as 'multiplayer AI' for human-agent collaboration. Rather than giving each employee a private chatbot, it lets teams build agents that have shared access to company knowledge, connected tools, conversations and notifications, so work can move back and forth between people and AI. Agents can be reused across departments, and human review stays part of the loop where it matters.

The platform's differentiator is context. According to Dust, most AI tools can retrieve a single Slack message or CRM record, whereas its agents pull context together across Slack, CRM, documents and other company systems to answer with the full picture and then act on it. Over 70 connectors cover messaging, calendars, CRM, file storage, project management, data and finance tools, and agents can reach MCP servers through the same gateway.

Governance is a first-class feature. Dust offers a dual-layer permission model that separates what agents can access from who can use them, SCIM-synced groups, admin-gated overrides, audit logs and analytics for monitoring adoption, usage, cost and ROI. It is SOC 2 Type II certified, offers US or EU data residency and supports single-tenant deployment. Teams can build agents with 20+ frontier and open-source models from OpenAI, Anthropic, Google, Mistral and others, choosing the right model per workflow. The company says more than 3,000 organizations and 300,000+ agents run on the platform.

**Pricing & Plans:** Contact for pricing. Dust offers a free trial after signup, but its plans are oriented toward teams and enterprises with usage-based credits, volume pricing and dedicated support; you need to talk to sales for exact figures.

- **Agents with company context:** Connect 70+ tools including Slack, Notion, Google Drive, GitHub, Salesforce and Zendesk so agents answer with real company knowledge instead of generic guesses.
- **70+ connectors and MCP support:** Reach messaging, CRM, docs, project management, data, finance and MCP servers through one platform, so agents can act across systems rather than just chat.
- **Model flexibility:** Build agents with 20+ frontier and open-source models from OpenAI, Anthropic, Google and Mistral, and pick the best model for each task.
- **AI-native governance:** A dual-layer permission model, SCIM-synced groups, admin-gated overrides, audit logs and usage analytics keep company data locked down while teams move fast.
- **Multiplayer collaboration:** People and agents share context, tools and notifications, so cross-functional workflows run with reusable skills and human review built in.

**Strengths:** Deep context gathering across 70+ enterprise connectors; Strong enterprise governance with permissions, audit logs and SOC 2 Type II; Model-agnostic: choose among 20+ frontier and open-source models; Shared, reusable agents that scale across departments

**Limitations:** Pricing is sales-led, so costs are hard to estimate before a demo; Setting up connectors and permissions takes real admin work; Best value comes with broad rollout, which is a heavier commitment for small teams

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

## Thunderbit

Thunderbit is an agentic web scraper built for teams that need data out of websites but do not want to maintain selectors or write scraping code. It installs as a Chrome or Edge extension: open any page, click extract, and the AI reads the layout and proposes the fields that make sense — product names, prices, emails, phone numbers, listings, reviews, and more. You confirm or refine the request in plain English, and the agent returns a clean table with the rows you asked for.

For high-volume sites it offers two faster paths. Pre-built templates cover popular destinations such as Amazon, eBay, Google Maps, Zillow-style listing sites, social platforms, and directories, returning the same fields every time without consuming AI credits. Agent mode handles less structured work by following links from list pages into detail pages, pairing each result card with the information on its article or listing so research tasks that would normally take hours finish in one run. AI can also summarize, categorize, translate, or reformat data during extraction, and results export to Google Sheets, Airtable, Notion, Excel, CSV, or through the Web Scraper API.

The product is positioned mainly for sales, real estate, operations, and marketing teams. Typical uses include scraping contact information and turning directories into lead lists, tracking buying signals like hiring or funding changes, aggregating property listings, monitoring competitor prices and SKUs, watching stock availability, and gathering reviews for sentiment analysis. Pricing is freemium: a free-forever tier with limited credits, then Starter, Professional, and Business plans that scale credits and add priority support, with an API and custom enterprise terms available.

**Pricing & Plans:** Freemium. A free-forever plan provides a limited monthly credit allowance, and paid Starter, Professional, and Business plans scale credits and features (yearly billing saves around 20% with credits upfront). A Web Scraper API is available for developer integration, and Business offers custom credits, custom limits, and priority support at custom pricing.

- **One-click AI extraction:** Open a page, click extract, and AI proposes the fields worth capturing and returns structured rows — no CSS selectors or drag-and-drop setup.
- **Pre-built site templates:** For popular sites like Amazon, eBay, and Google Maps, pre-built templates return consistent fields instantly without spending AI credits.
- **Agent mode with linked pages:** Thunderbit can open linked pages and pull details from them, so a results list and its detail pages become a single table in one run.
- **AI data shaping:** Summarize, categorize, translate, reformat, or calculate fields as part of the scrape, so exports arrive ready to use.
- **Direct exports and API:** Send results directly to Google Sheets, Airtable, or Notion, export to Excel or CSV, or connect via the Web Scraper API for developer workflows.

**Strengths:** Works without CSS selectors or coding knowledge; Pre-built templates for popular sites save AI credits; Agent mode follows linked pages for deeper enrichment; Exports directly to Sheets, Airtable, Notion, Excel, and CSV

**Limitations:** Fully free usage is limited by monthly AI credits; Scraping some sites can be affected by anti-bot measures or site terms; AI field suggestions occasionally need refinement for complex or unusual page layouts; Best experience requires the Chrome/Edge extension rather than a fully browser-free workflow

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

## Frequently Asked Questions

### How do Dust and Thunderbit compare in monthly traffic?

Dust has 547,217 monthly visits, while Thunderbit has 391,726. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Dust has a month-over-month growth rate of +1.8%; Thunderbit has -21.9%.

### How does pricing compare?

Dust: Contact for Pricing. Contact for pricing. Dust offers a free trial after signup, but its plans are oriented toward teams and enterprises with usage-based credits, volume pricing and dedicated support; you need to talk to sales for exact figures. Thunderbit: Freemium, Contact for Pricing. Freemium. A free-forever plan provides a limited monthly credit allowance, and paid Starter, Professional, and Business plans scale credits and features (yearly billing saves around 20% with credits upfront). A Web Scraper API is available for developer integration, and Business offers custom credits, custom limits, and priority support at custom pricing.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | Provides a unified connected workspace for team documents and databases, but lacks Dust's advanced multi-source enterprise knowledge indexing. | [.md](https://openaitools.app/tool/t.md) |
| 2 | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | 111,910,743 | +2.2% | Freemium | Integrates deeply with CRM ecosystems to automate enterprise workflows, but is tightly bound to the Salesforce software suite. | [.md](https://openaitools.app/tool/salesforce-einstein.md) |
| 3 | [Apify](https://openaitools.app/tool/apify) | 4,147,762 | +3.9% | Freemium, Contact for Pricing | A powerful cloud scraping marketplace, but lacks Thunderbit's instant natural-language browser extension scraping experience. | [.md](https://openaitools.app/tool/apify.md) |
| 4 | [Glean](https://openaitools.app/tool/glean) | 3,301,875 | +0.1% | Contact for Pricing | Offers robust enterprise-wide permission-aware search and knowledge management, but with less focus on custom multi-model agent workflows. | [.md](https://openaitools.app/tool/glean.md) |
| 5 | [Abacus.AI](https://openaitools.app/tool/abacus-ai) | 3,278,636 | -1.7% | Contact for Pricing | Combines multi-model chat assistants and automated machine learning optimization, but with a heavier focus on data science pipelines. | [.md](https://openaitools.app/tool/abacus-ai.md) |
| 6 | [Taskade](https://openaitools.app/tool/taskade) | 539,714 | -9.4% | Freemium | Turn one prompt into live business apps, AI agents and automated workflows | [.md](https://openaitools.app/tool/taskade.md) |
| 7 | [HARPA AI](https://openaitools.app/tool/harpa-ai) | 537,461 | +99.3% | Freemium | Offers robust browser automation and AI data extraction, but focuses more broadly on general web assistance. | [.md](https://openaitools.app/tool/harpa-ai.md) |
| 8 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Excels at visual no-code web scraping and data automation pipelines, but lacks Dust's dedicated internal knowledge base architecture. | [.md](https://openaitools.app/tool/gumloop.md) |
| 9 | [PhantomBuster](https://openaitools.app/tool/phantombuster) | 279,012 | -10.1% | Freemium, Free Trial, Paid | Cloud-based lead generation and scraping automation, but lacks an interactive browser extension agent interface. | [.md](https://openaitools.app/tool/phantombuster.md) |
| 10 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | Focuses on secure enterprise workflow automation and security orchestration, but requires more manual setup for custom AI agents. | [.md](https://openaitools.app/tool/tines.md) |

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Source: https://openaitools.app/compare/dust-vs-thunderbit

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