# G Maps Extractor vs OpenAI Platform

G Maps Extractor records 45,055 monthly visits with -8.8% month-over-month growth and Freemium, Contact for Pricing pricing. OpenAI Platform records 234,678,639 monthly visits with -9.6% growth and Paid pricing.

| Metric | [G Maps Extractor](https://openaitools.app/tool/google-maps-scraper) | [OpenAI Platform](https://openaitools.app/tool/openai) |
| :--- | :--- | :--- |
| Website URL | https://gmapsextractor.com | https://openai.com |
| Categories | AI Web Scraping, AI Lead Generation, AI API, AI Data Mining | AI Models, AI API, Large Language Models (LLMs), AI Chatbot |
| Pricing Model | Freemium, Contact for Pricing | Paid |
| Monthly Visits | 45,055 | 234,678,639 |
| MoM Growth Rate | -8.8% | -9.6% |
| Primary Market | India | United States |
| Direct Visits | 11,430 | 105,101,079 |
| Review Score | 4 | 4.8 |
| Saved Count | 3 | 144 |
| Supported Platforms | Website | Website |

## 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)

## OpenAI Platform

While ChatGPT serves end users, openai.com and the OpenAI Developer Platform (developers.openai.com) provide the foundational API, SDKs, and enterprise infrastructure powering thousands of production AI applications worldwide. In late 2026, OpenAI's API catalog is anchored by the GPT-6 and GPT-6.1 model suite—all featuring a 1.05-million-token context window and up to 128K output tokens. The lineup spans GPT-6 Astra for frontier reasoning and mission-critical research, GPT-6.1 Sol for near-Astra intelligence at one-fifth the price, GPT-6.1 Terra for fast visual reasoning and computer use, and GPT-6 Luna for ultra-high-volume, low-latency tasks, alongside specialized models like `gpt-5.3-codex` and `gpt-6-astra-law`.

The OpenAI Platform has evolved well beyond basic chat completion endpoints. Through the unified `v1/responses` API, developers can orchestrate stateful multi-step agents equipped with built-in server-side tools—including live web search, vector file search, code interpreter sandboxes, and GUI computer use—without stitching together external orchestration frameworks. Every flagship model supports configurable reasoning effort (`none`, `low`, `medium`, `high`, `xhigh`, and `max`), strict JSON schema Structured Outputs, and multimodal image/audio inputs, while `gpt-live-1` powers per-second billed speech-to-speech voice agents.

OpenAI bills API usage on a transparent consumption model scaled across usage tiers (Build, Launch, and Grow, scaling up to 40M+ tokens per minute). In 2026, aggressive price cuts on the 6.x generation dropped entry-level intelligence on GPT-6 Luna to $0.10 per million input tokens and $0.50 per million output tokens, while GPT-6.1 Sol runs at $2/$10 and flagship GPT-6 Astra sits at $10/$50. Engineering teams can cut spend by 90% on repeated context using automatic Prompt Caching, save 50% on asynchronous workloads via the Batch API, and enforce regional data residency with a 10% compliance uplift.

**Pricing & Plans:** Usage-based pay-per-token API billing: GPT-6 Astra at $10/1M input and $50/1M output tokens; GPT-6.1 Sol at $2/1M input and $10/1M output; GPT-6.1 Terra at $1/1M input and $5/1M output; GPT-6 Luna at $0.10/1M input and $0.50/1M output; GPT-Live-1 voice at $0.05/minute; 90% discount on cached inputs and 50% off via Batch API.

- **GPT-6 & GPT-6.1 Model Lineup with 1.05M Context:** Spanning GPT-6 Astra ($10/$50 per MTok), GPT-6.1 Sol ($2/$10), GPT-6.1 Terra ($1/$5), and GPT-6 Luna ($0.10/$0.50), all with a 1,050,000-token context window and 128K max output.
- **Configurable Reasoning Effort Controls:** Tune thinking token budgets per API request across six granularity levels (`none`, `low`, `medium`, `high`, `xhigh`, `max`) to balance latency, accuracy, and cost.
- **Responses API & Native Computer Use Tools:** Combine model inference with hosted web search, file search, function calling, and autonomous GUI computer-use actions in a single stateful API call.
- **GPT-Live-1 Realtime Voice API:** Build ultra-low-latency multimodal voice agents billed per second ($0.05/minute) without rounding up to whole minutes.
- **90% Prompt Caching Discount & Batch API:** Cached input tokens bill at just 10% of standard input rates, while asynchronous 24-hour Batch API jobs cut both input and output token costs by 50%.

**Strengths:** 100-fold cost flexibility from GPT-6 Luna ($0.10/$0.50 per 1M tokens) up to frontier GPT-6 Astra ($10/$50 per 1M tokens); Unified 1.05M-token context window and 128K output limit across the entire flagship GPT-6 and GPT-6.1 family; 90% discount on cached input tokens and 50% Batch API discount dramatically reduce production inference bills; Industry-standard SDKs, Structured Outputs, and built-in Responses API tools minimize boilerplate agent code

**Limitations:** Long-context requests exceeding the standard window threshold trigger roughly 2x higher per-token billing rates; Flagship GPT-6 Astra ($10 input / $50 output per 1M tokens) is significantly more expensive than Claude Opus 5.5 ($4/$20) and Grok 4.7 ($2/$6); Regional data residency endpoints incur a 10% price uplift on models released after March 2026

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

## Frequently Asked Questions

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

G Maps Extractor has 45,055 monthly visits, while OpenAI Platform has 234,678,639. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

G Maps Extractor has a month-over-month growth rate of -8.8%; OpenAI Platform has -9.6%.

### How does pricing compare?

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). OpenAI Platform: Paid. Usage-based pay-per-token API billing: GPT-6 Astra at $10/1M input and $50/1M output tokens; GPT-6.1 Sol at $2/1M input and $10/1M output; GPT-6.1 Terra at $1/1M input and $5/1M output; GPT-6 Luna at $0.10/1M input and $0.50/1M output; GPT-Live-1 voice at $0.05/minute; 90% discount on cached inputs and 50% off via Batch API.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Google AI Studio](https://openaitools.app/tool/google-ai-studio) | 112,620,020 | +2% | Freemium | Provides direct API access to Google's Gemini models with generous free prototyping tiers, but lacks OpenAI's ecosystem breadth. | [.md](https://openaitools.app/tool/google-ai-studio.md) |
| 2 | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) | 35,101,353 | -6.2% | Freemium | Alibaba Cloud's 4th-generation multimodal AI assistant and foundation model lineup (Qwen4-Max, Qwen4-Plus, Qwen4-Flash & open-weight Qwen4-27B) with 1M context. | [.md](https://openaitools.app/tool/qwen-4.md) |
| 3 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Unifies hundreds of third-party models under a single API key, offering greater model choice than OpenAI's curated catalog. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 4 | [BigModel](https://openaitools.app/tool/bigmodel) | 5,700,686 | -17% | Freemium | Provides developer APIs for Zhipu AI's proprietary GLM models, serving as an alternative enterprise foundation model stack. | [.md](https://openaitools.app/tool/bigmodel.md) |
| 5 | [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) |
| 6 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | Optimized for lightning-fast serverless execution of generative media and image models, rather than general text LLMs. | [.md](https://openaitools.app/tool/fal-ai.md) |
| 7 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Specializes in high-performance serverless inference and dedicated GPU clusters for open-source models, bypassing closed commercial restrictions. | [.md](https://openaitools.app/tool/together-ai.md) |
| 8 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Focuses heavily on running and fine-tuning open-source vision and language models via simple APIs, unlike OpenAI's hosted closed models. | [.md](https://openaitools.app/tool/replicate-ai.md) |
| 9 | [Atlas Cloud](https://openaitools.app/tool/atlas-cloud) | 777,031 | -16.4% | Paid | One OpenAI-compatible API for 500+ image, video, audio, and LLM models | [.md](https://openaitools.app/tool/atlas-cloud.md) |
| 10 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Delivers ultra-low-cost serverless inference for open-weight models, though with fewer enterprise orchestration tools than OpenAI. | [.md](https://openaitools.app/tool/deep-infra.md) |

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

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