ScrapeGraphAI

Use it when

• Your CSS or XPath scrapers keep breaking every time target sites change their layout and you want extraction driven by a natural-language prompt instead
• You need structured JSON from webpages or local HTML/XML/Markdown files without hand-writing a parser per site

What it solves

Not the fit when

• Cost-sensitive high-volume workloads where per-page remote-model calls and self-managed infrastructure are unsuitable
• Sites with strong anti-bot defenses; proxies, stealth, CAPTCHA handling, scaling, and browser maintenance are your responsibility in the open-source library
• Users expecting the hosted Crawl, Monitor, History, managed rendering, or managed anti-bot capabilities; those belong to the paid ScrapeGraphAI API
• Anonymous usage telemetry is enabled by default; set SCRAPEGRAPHAI_TELEMETRY_ENABLED=false before use when telemetry is not acceptable
• Local Ollama use requires installing Ollama and pulling the selected model separately
• managed high-volume crawling and scheduled monitoring
• deterministic extraction with no LLM inference
• built-in proxy, stealth, CAPTCHA, or anti-bot infrastructure in the open-source library
• zero-configuration scaling and browser operations

Install

pip install scrapegraphai && playwright install

Invoke

from scrapegraphai.graphs import SmartScraperGraph; SmartScraperGraph(prompt='Extract founders and social links', source='https://example.com', config={'llm': {'api_key': KEY, 'model': 'openai/gpt-4o-mini'}}).run() returns a Python dict; use ollama/* models for fully local runs

Alternatives

No reviewed alternatives recorded yet.