# Dust vs No-Code Scraper

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. No-Code Scraper records 656 monthly visits with -81.8% growth and Free Trial, Paid pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [No-Code Scraper](https://openaitools.app/tool/no-code-scraper) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://nocodescraper.com |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Web Scraping, No-Code&Low-Code, Large Language Models (LLMs), AI Data Mining |
| Pricing Model | Contact for Pricing | Free Trial, Paid |
| Monthly Visits | 547,217 | 656 |
| MoM Growth Rate | +1.8% | -81.8% |
| Primary Market | France | India |
| Direct Visits | 456,919 | 258 |
| Review Score | 4.4 | 3.8 |
| Saved Count | 5 | 0 |
| 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)

## No-Code Scraper

No-Code Scraper was built to remove the two biggest blockers in web scraping: needing a developer, and scrapers that break every time a site changes. The workflow is deliberately simple — import one or many URLs, define the data points you care about inside a reusable template, then launch the job. There is no selector debugging, no scripting, and no separate cleaning pipeline, because the platform's AI performs extraction, validation and formatting in a single step.

Beyond basic extraction, the tool covers the practical reality of scraping at scale. It supports pagination and load-more buttons, can fall back to Google Cache to work around anti-scraping measures, and can process multi-page journeys with dynamic flows. A single template can be reused across thousands of similar sites, which is what makes the resilience claim meaningful for directory builders, lead researchers and market analysts.

Output is designed to be immediately usable: results arrive as CSV, Excel or JSON, already cleaned and matched to your template fields, so teams skip the hours of manual Excel tidying that usually follow a scraping run. Pricing is tiered across a free trial and paid plans aimed at different volumes, and the product is positioned as an end-to-end platform rather than a single-purpose extraction script.

**Pricing & Plans:** Offers a free trial followed by tiered paid plans that scale with scraping volume and feature access. Exact plan prices and quotas should be confirmed on the official pricing page, which is rendered dynamically.

- **Reusable scraping templates:** Define the fields you want once, then reuse the same template across a single site or thousands of similar sites without rebuilding the scraper.
- **AI extraction and data cleaning:** The AI extracts each data point, validates it and formats it to match your template, so output is structured and ready to use immediately.
- **Change-resilient scraping:** Templates adapt automatically when a target site's layout changes, reducing the constant maintenance that breaks traditional scrapers.
- **Pagination, load-more and Google Cache support:** Handle infinite scroll, load-more buttons and multi-page flows, with an optional Google Cache mode to work around anti-scraping defenses.
- **CSV, Excel and JSON export:** Download cleaned results in the format your team already works in, or feed them straight into downstream tools and spreadsheets.

**Strengths:** Genuinely code-free setup — no CSS selectors or scripting knowledge required; AI-driven cleaning means results arrive structured rather than as raw HTML dumps; Template reuse across many similar sites makes large-scale collection practical; Multiple export formats (CSV, Excel, JSON) fit straight into existing workflows

**Limitations:** Pricing details are not fully transparent without an account or the dynamic pricing page; AI-based extraction on complex, JavaScript-heavy sites can still miss edge cases; Heavy scraping volume is likely capped by plan quotas, requiring an upgrade

[Profile (Markdown)](https://openaitools.app/tool/no-code-scraper.md)

## Frequently Asked Questions

### How do Dust and No-Code Scraper compare in monthly traffic?

Dust has 547,217 monthly visits, while No-Code Scraper has 656. 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%; No-Code Scraper has -81.8%.

### 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. No-Code Scraper: Free Trial, Paid. Offers a free trial followed by tiered paid plans that scale with scraping volume and feature access. Exact plan prices and quotas should be confirmed on the official pricing page, which is rendered dynamically.

## 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 | 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 | 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-no-code-scraper

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