# Glean vs G Maps Extractor

Glean records 3,301,875 monthly visits with +0.1% 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 | [Glean](https://openaitools.app/tool/glean) | [G Maps Extractor](https://openaitools.app/tool/google-maps-scraper) |
| :--- | :--- | :--- |
| Website URL | https://www.glean.com | https://gmapsextractor.com |
| Categories | AI Productivity Tools, AI Agent, AI Assistant, AI Search Engine | AI Web Scraping, AI Lead Generation, AI API, AI Data Mining |
| Pricing Model | Contact for Pricing | Freemium, Contact for Pricing |
| Monthly Visits | 3,301,875 | 45,055 |
| MoM Growth Rate | +0.1% | -8.8% |
| Primary Market | United States | India |
| Direct Visits | 2,628,666 | 11,430 |
| Review Score | 4.6 | 4 |
| Saved Count | 7 | 3 |
| Supported Platforms | Website | Website |

## Glean

Glean addresses a problem most enterprises hit after their first wave of AI adoption: models are powerful but isolated from the context of the business. The platform builds an enterprise context layer by indexing and understanding content across the tools a company already runs on, then uses that grounding to improve both answer quality and efficiency. Because fewer irrelevant tokens need to be sent to a model, the same question costs less to serve.

The product surface spans four areas: enterprise search, an AI assistant for everyday work, an agent platform for automating long-running processes, and Glean Protect for security and governance. Administrators also get model routing and an AI gateway, letting them decide which models handle which requests without rebuilding integrations. Everything inherits the access permissions of the source systems, so answers stay within each employee's existing rights.

Glean serves large organisations across finance, healthcare, retail, technology, and government, with published customers including Booking.com, Zillow, and Ericsson. It holds SOC 2 Type II, ISO 27001, ISO 42001, HIPAA, GDPR, and TX-RAMP Level 2 attestations, and reports 275+ connectors, 40+ supported language models, and 99.9%+ uptime on core services.

**Pricing & Plans:** Contact for pricing. Glean is licensed to organisations based on seats, connectors, and deployment scope, and is evaluated through a demo rather than self-serve purchase.

- **Permission-aware enterprise search:** Ask a question in plain language and get a cited answer assembled from documents, tickets, wikis, and messages across every connected system, with permissions respected.
- **Agent builder and orchestration:** Reusable agents handle multi-step workflows such as onboarding, account research, or incident follow-up by orchestrating actions across business apps.
- **Model routing and AI gateway:** Glean automatically picks and routes requests to the right model and reasoning level, giving teams access to 40+ LLMs through a single governed gateway.
- **Grounded content and analysis:** Draft on-brand documents, summarise meetings, analyse data, and create content grounded in company context rather than generic model knowledge.
- **Governance and observability:** Administrators get usage controls, spend visibility, audit logging, and compliance-ready governance for every AI interaction.

**Strengths:** Answers cite source systems and inherit their permissions, which removes the main blocker to enterprise-wide rollout; One platform covers search, assistant, and agents instead of three separate vendors; Model routing and token efficiency directly reduce the cost per AI query at scale; 275+ pre-built connectors shorten integration work considerably

**Limitations:** Enterprise pricing is quote-based, so budget planning requires a sales conversation; Full value depends on connecting many internal data sources, which takes IT effort; Smallest teams may find the platform more than they need

[Profile (Markdown)](https://openaitools.app/tool/glean.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 Glean and G Maps Extractor compare in monthly traffic?

Glean has 3,301,875 monthly visits, while G Maps Extractor has 45,055. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Glean has a month-over-month growth rate of +0.1%; G Maps Extractor has -8.8%.

### How does pricing compare?

Glean: Contact for Pricing. Contact for pricing. Glean is licensed to organisations based on seats, connectors, and deployment scope, and is evaluated through a demo rather than self-serve purchase. 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 | The AI workspace where teams and agents get work done together | [.md](https://openaitools.app/tool/t.md) |
| 2 | [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) |
| 3 | [Dust](https://openaitools.app/tool/dust) | 547,217 | +1.8% | Contact for Pricing | Builds collaborative enterprise AI agents connected to company knowledge, but offers less robust out-of-the-box universal search. | [.md](https://openaitools.app/tool/dust.md) |
| 4 | [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) |
| 5 | [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) |
| 6 | [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) |
| 7 | [Moveworks](https://openaitools.app/tool/moveworks) | 168,527 | -4.3% | Contact for Pricing | Automates employee IT and HR support requests exceptionally well, but focuses less on general universal document search. | [.md](https://openaitools.app/tool/moveworks.md) |
| 8 | [Kore.ai](https://openaitools.app/tool/kore-ai) | 143,328 | -18.2% | Contact for Pricing | Deploys enterprise conversational assistants and automated workflows, but lacks Glean's unified organization-wide knowledge graph search. | [.md](https://openaitools.app/tool/kore-ai.md) |
| 9 | [Coworker AI](https://openaitools.app/tool/coworker-ai) | 129,346 | -1.8% | Free Trial, Paid, Contact for Pricing | Creates permission-aware context graphs and routes tasks across enterprise tools, but has a smaller connector library than Glean. | [.md](https://openaitools.app/tool/coworker-ai.md) |
| 10 | [Sana](https://openaitools.app/tool/sana-labs) | 109,714 | -25.5% | Paid, Contact for Pricing | Combines enterprise search, AI agents, and corporate learning, but is less specialized for pure universal workplace search than Glean. | [.md](https://openaitools.app/tool/sana-labs.md) |

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Source: https://openaitools.app/compare/glean-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)