--- source_url: "https://www.firecrawl.dev/alternatives/firecrawl-vs-scrapegraphai" title: "Firecrawl vs ScrapeGraphAI | Best ScrapeGraphAI Alternative" mirrored_at: 2026-08-09T01:03:08.086Z host: www.firecrawl.dev cited_in_42a: true mirror_canonical: "https://index.42a.ai/www.firecrawl.dev/alternatives/firecrawl-vs-scrapegraphai" --- > **Original source:** https://www.firecrawl.dev/alternatives/firecrawl-vs-scrapegraphai Firecrawl vs. ScrapeGraphAI ## ScrapeGraphAI scrapes pages. Firecrawl gives you AI-ready data. Scrape, search, and interact with the web to get clean data for AI agents and apps. No credit multipliers, juggling endpoints, or parsing code. Trusted by 150,000+ companies of all sizes \[ 01 / 08 \] · Why Firecrawl ## See why teams choose Firecrawl over ScrapeGraphAI. When comparing Firecrawl vs ScrapeGraphAI, the difference comes down to consistent output format, a unified API, and pricing that doesn't penalize scale. ### Clean, reliable data for AI pipelines Firecrawl returns clean LLM-ready markdown on every request at 1 credit per page. ScrapeGraphAI requires a separate Markdownify endpoint for markdown output, and structured extraction via SmartScraper costs 10 credits per call — making it harder to build consistent AI pipelines at scale. [See use cases](https://www.firecrawl.dev/use-cases) Scrape Search Crawl Agent Browse ### The complete web data toolkit Scrape, search, interact, and more - all with a single API key. [See docs](https://docs.firecrawl.dev/) ### Predictable pricing that scales Dollar for dollar, Firecrawl delivers roughly 5x more extracted pages than ScrapeGraphAI. Firecrawl's AI extraction costs ~$0.004/page; ScrapeGraphAI's SmartScraper costs ~$0.021/page on comparable plans. [See pricing](https://www.firecrawl.dev/pricing) \[ 02 / 08 \] · Benchmarks ## Firecrawl leads on extraction quality. And so much more. Coverage 0% success rate Quality 0.000 F1 score for accuracy Recall 0.000 content recall rate Speed 0ms P95 latency \[ 03 / 08 \] · Firecrawl vs. ScrapeGraphAI ## Firecrawl is purpose-built for AI agents and developers. In any Firecrawl vs ScrapeGraphAI comparison, the difference comes down to scalable pricing, a unified API platform with browser automation built in, and consistent LLM-ready output — not per-endpoint credit multipliers. \[ 04 / 08 \] · Customer Testimonials \[ 05 / 08 \] · FAQs ## Frequently asked questions The core difference between Firecrawl and ScrapeGraphAI is pricing model and platform scope. ScrapeGraphAI is built around LLM-powered structured extraction — SmartScraper delivers schema-based JSON via natural language prompts, but costs roughly $0.021/page and each capability (extraction, markdown, crawl, agent) lives on a separate endpoint. Firecrawl returns clean LLM-ready markdown at 1 credit per page and AI extraction at ~$0.004/page, with scrape, search, crawl, browse, agent, and map under one unified API. When you compare Firecrawl and ScrapeGraphAI, Firecrawl delivers roughly 5x more AI extractions per dollar with a simpler, more complete platform. Yes. Firecrawl returns clean markdown and structured JSON out of the box on every request. ScrapeGraphAI also supports structured extraction via SmartScraper and markdown via Markdownify, but these are separate endpoints with different credit costs. Firecrawl delivers both formats from a single scrape call at 1 credit per page. Firecrawl charges 1 credit per standard scrape and 5 credits for AI-powered JSON extraction. ScrapeGraphAI charges 10 credits per SmartScraper call and 2 credits for basic Markdownify. But credits aren't equal across platforms. On Firecrawl's Standard plan ($83/mo for 100k credits/month), AI extraction costs about $0.004/page. On ScrapeGraphAI's Growth plan ($85/mo for 480k credits/year), SmartScraper costs about $0.021/page. Dollar for dollar, Firecrawl delivers roughly 5x more AI extractions. Yes. Firecrawl is fully open source under the AGPL-3.0 license with 150K+ GitHub stars and can be self-hosted for complete control over your data and infrastructure. ScrapeGraphAI also has an open source Python library (MIT licensed, 27k stars) that works with local LLMs via Ollama, but their commercial API is proprietary. Firecrawl supports actions like click, type, and wait directly on the scrape endpoint, and also offers a full browser sandbox with Playwright/CDP access, code execution in Python, Node, or Bash, Live View for debugging, and persistent browser profiles. ScrapeGraphAI's AgenticScraper only supports natural language steps (e.g., 'click login', 'type email') with no direct browser control. Firecrawl covers both approaches and gives developers full programmatic access when they need it. Firecrawl offers scrape, search, browse, agent, crawl, map, and batch scrape through one API. ScrapeGraphAI covers similar ground with SmartScraper, SearchScraper, SmartCrawler, Markdownify, AgenticScraper, and Sitemap, but lacks a map/discovery endpoint and full browser sandbox. A unified platform means fewer integration points, simpler billing, and less code to maintain. Yes. AI agents can self-onboard to Firecrawl by choosing the integration path that fits the task — replacing native fetch and search with Firecrawl's scrape, search, and interact endpoints, or embedding the API directly. Once you authorize, they're ready to go. ScrapeGraphAI's separate endpoints for SmartScraper, Markdownify, AgenticScraper, and SmartCrawler require agents to select the right product for each task, and each has its own credit cost — adding configuration overhead for automated onboarding. Both tools work well for RAG. Firecrawl returns clean markdown ready for chunking and embedding, supports structured extraction via JSON Schema, and offers crawl + map for discovering all pages on a site. ScrapeGraphAI's SmartScraper also delivers structured data from natural language prompts. The key difference is cost: Firecrawl's 1-credit scrape lets you process far more pages per dollar, which matters when building large knowledge bases. Migration is straightforward. Replace your ScrapeGraphAI SmartScraper calls with Firecrawl's /scrape endpoint (with formats=\['json'\] for structured extraction or formats=\['markdown'\] for clean markdown). Replace SmartCrawler calls with Firecrawl's /crawl endpoint, which supports depth control, path filtering, and sitemap discovery. Firecrawl offers SDKs for Python, Node.js, Go, Rust, and Java. Most teams complete the switch in under a day. Yes. Firecrawl is SOC 2 Type II compliant with GDPR compliance and DPA available. Enterprise plans include zero data retention and 99.9% SLA. ScrapeGraphAI has achieved SOC 2 Type 1 and is working toward Type 2. Over 1.25M developers and 150,000+ companies use Firecrawl in production, and we've served more than 5 billion requests to date.