# Dust vs G Maps Extractor

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. G Maps Extractor records 45,055 monthly visits with -8.8% growth and Freemium, Contact for Pricing pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [G Maps Extractor](https://openaitools.app/tool/google-maps-scraper) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://gmapsextractor.com |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Web Scraping, AI Lead Generation, AI API, AI Data Mining |
| Pricing Model | Contact for Pricing | Freemium, Contact for Pricing |
| Monthly Visits | 547,217 | 45,055 |
| MoM Growth Rate | +1.8% | -8.8% |
| Primary Market | France | India |
| Direct Visits | 456,919 | 11,430 |
| Review Score | 4.4 | 4 |
| Saved Count | 5 | 3 |
| 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)

## G Maps Extractor

G Maps Extractor is a dedicated Google Maps scraping tool aimed at sales teams, agencies, and researchers who need business data in bulk. You enter one or more keywords such as "coffee shop in Portland" or "design agency near New York," and the platform returns a structured table of matching businesses. The cloud scraper handles larger multi-keyword jobs while the Chrome and Edge extensions work directly inside your browser, and a REST API plus an MCP server let developers pipeline the same data into their own tools.

The extractor pulls a wide range of fields per listing, including the business name, phone number, website and domain, full address with latitude and longitude, categories, price level, rating, review count, reviews, photos, opening hours, Place ID/CID, plus emails and social media profiles that are publicly discoverable on the web. Results can be previewed before signing in, and once authenticated you can export full datasets and run many keywords at once.

The product advertises 1,000 free credits each month with no credit card required, and heavier usage moves to paid plans or account-based pricing. It states that it only collects publicly available business information, markets itself as GDPR compliant, and uses rotating proxies and an anti-blocking layer to keep high-volume jobs stable. A built-in bulk keyword generator and MCP connections to Claude, Codex, Cursor, and VS Code make it usable both for spreadsheet workflows and AI agent pipelines.

**Pricing & Plans:** Freemium. New users get 1,000 free credits per month with no credit card required, and there is a preview mode before sign-in. Larger or higher-volume workloads move to paid cloud plans and API/MCP access, with enterprise tiers available on request (contact for pricing).

- **Cloud scraper with bulk keywords:** Submit many keywords at once and let the cloud job run in the background, then export the combined results without keeping a browser tab open.
- **Chrome and Edge extensions:** Scrape directly from your browser, including saved place lists, with a lightweight extension that needs no setup or coding.
- **API and MCP integration:** A Google Maps Scraper API plus an MCP server let developers and AI agents pull the same structured business data programmatically.
- **Rich listing fields:** Extract name, phone, email, website, address, coordinates, category, price level, rating, review count, reviews, photos, opening hours, and social profiles where publicly available.
- **Multi-format export:** Download ready-to-use CSV, Excel, or JSON files that drop straight into spreadsheets, CRMs, or analytics pipelines.

**Strengths:** Free monthly credits and a no-card start make evaluation easy; Multiple access paths (cloud, browser extension, API, MCP) fit different workflows; Very broad field coverage including emails, socials, reviews, and photos; Stated GDPR-compliant, public-data-only policy is useful for business buyers

**Limitations:** Free tier is credit-limited, so real campaigns need a paid plan; Some derived fields such as emails depend on what is publicly discoverable and can be incomplete; Extension users are asked to keep the tool updated, which adds a maintenance step

[Profile (Markdown)](https://openaitools.app/tool/google-maps-scraper.md)

## Frequently Asked Questions

### How do Dust and G Maps Extractor compare in monthly traffic?

Dust has 547,217 monthly visits, while G Maps Extractor has 45,055. 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%; G Maps Extractor has -8.8%.

### 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. G Maps Extractor: Freemium, Contact for Pricing. Freemium. New users get 1,000 free credits per month with no credit card required, and there is a preview mode before sign-in. Larger or higher-volume workloads move to paid cloud plans and API/MCP access, with enterprise tiers available on request (contact for 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 | Run thousands of ready-made web scrapers and AI agents from one cloud platform | [.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 | [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) |
| 8 | [PhantomBuster](https://openaitools.app/tool/phantombuster) | 279,012 | -10.1% | Freemium, Free Trial, Paid | No-code automation for sales prospecting and data extraction | [.md](https://openaitools.app/tool/phantombuster.md) |
| 9 | [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) |
| 10 | [Octoparse](https://openaitools.app/tool/octoparse) | 184,251 | +1.2% | Freemium, Free Trial, Paid, Contact for Pricing | Agentic, no-code web scraping that turns any URL into clean structured data | [.md](https://openaitools.app/tool/octoparse.md) |

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Source: https://openaitools.app/compare/dust-vs-google-maps-scraper

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