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docs(readme): add Open Source vs Managed API comparison (#1091)
Add a comparison table and guidance clarifying the difference between
the open-source library and the managed cloud API (Python/JS SDKs),
so users can pick the right option.
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
ScrapeGraphAI comes in two flavours: **this open-source library**, which you run yourself, and the **managed cloud API** (used via the [Python](https://github.com/ScrapeGraphAI/scrapegraph-py) and [JS/TS](https://github.com/ScrapeGraphAI/scrapegraph-js) SDKs). This table explains the difference so you can pick the right one.
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|| Open Source (`scrapegraphai`) | Managed API (`scrapegraph-py` / `scrapegraph-js`) |
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|---|---|---|
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|**What it is**| A Python library you run yourself | A hosted cloud service you call via SDK |
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|**Where it runs**| Your own infrastructure (self-hosted) | ScrapeGraphAI cloud |
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|**LLM**| Bring your own (OpenAI, Groq, Gemini, Azure, local via Ollama) | Managed for you |
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|**Browser / JS rendering**| You configure it (Playwright) | Managed (stealth, `auto`/`fast`/`js` modes) |
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|**Proxies & anti-bot**| Your responsibility | Included |
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|**Scaling & maintenance**| Your responsibility | Fully managed |
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|**Cost model**| LLM tokens + your own infra | Pay-as-you-go credits |
|**Setup effort**| More configuration | Minimal — API key + one call |
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|**License**| MIT | SDK is MIT; the API service is paid |
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**Choose the open-source library** if you want full control, on-prem/self-hosted data, local LLMs (Ollama), or fine-grained cost tuning — and you're happy to manage browsers, proxies and scaling yourself.
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**Choose the managed API** if you want zero infrastructure, managed JS rendering & anti-bot, built-in **Crawl** and scheduled **Monitor** jobs, and the fastest path to production — billed per credit.
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