Comparison
firecrawl vs Scrapegraph-ai
Verdict
Pick firecrawl if fireCrawl is an API-driven toolkit built for conducting scalable searches, scraping tasks, and interactive operations with the web using AI agents; pick Scrapegraph-ai if scrapegraph-ai is a Python-based scraping tool leveraging AI for smarter data extraction and search tasks.
Markdown twin · firecrawl alternatives · Scrapegraph-ai alternatives
GraphCanon updated 5d
vs
Trust & integrity
| Signal | firecrawl | Scrapegraph-ai |
|---|---|---|
| Maintenance | Very active (0d since push) As of 5d · github_public_v1 | Active (27d since push) As of 5d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 5d · github_public_v1 | Not a fork · Organization account As of 5d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- firecrawl
- The API to search, scrape, and interact with the web at scale. 🔥
- Scrapegraph-ai
- Python scraper based on AI
Stars
- firecrawl
- 168k
- Scrapegraph-ai
- 30k
Forks
- firecrawl
- 9.4k
- Scrapegraph-ai
- 2.9k
Open issues
- firecrawl
- 508
- Scrapegraph-ai
- 12
Language
- firecrawl
- TypeScript
- Scrapegraph-ai
- Python
Adopt for
- firecrawl
- FireCrawl is an API-driven toolkit built for conducting scalable searches, scraping tasks, and interactive operations with the web using AI agents.
- Scrapegraph-ai
- Scrapegraph-ai is a Python-based scraping tool leveraging AI for smarter data extraction and search tasks.
Persona
- firecrawl
- -
- Scrapegraph-ai
- -
Runtime
- firecrawl
- -
- Scrapegraph-ai
- -
License
- firecrawl
- AGPL-3.0 license requires that any changes to FireCrawl's source code also be made available as free software when the adapted version is used.
- Scrapegraph-ai
- Scrapegraph-ai operates under the MIT License, offering users flexible rights for modification and distribution of the code.
Last pushed
- firecrawl
- Aug 15, 2026
- Scrapegraph-ai
- Jul 20, 2026
Categories
- firecrawl
- AI Agents, Data & Retrieval
- Scrapegraph-ai
- Data & Retrieval, LLM Frameworks
Trust and health
Maintenance
- firecrawl
- Very active (96%)
- Scrapegraph-ai
- Active (82%)
Days since push
- firecrawl
- 0d
- Scrapegraph-ai
- 27d
Open issues (now)
- firecrawl
- 508
- Scrapegraph-ai
- 12
Stars delta
- firecrawl
- +16k (30d)
- Scrapegraph-ai
- +1.2k (30d)
Open issues delta
- firecrawl
- +106 (30d)
- Scrapegraph-ai
- +5 (30d)
Full report
- firecrawl
- Trust report
- Scrapegraph-ai
- Trust report
Typed relationship
firecrawl alternative Scrapegraph-aiScrapegraph-ai and firecrawl both offer tools for extracting data from websites, with Scrapegraph-ai focusing on leveraging large language models to automate scraping processes from web sources and local documents, while firecrawl provides an API-centric approach for searching, scraping, and converting extracted web content into clean formats like Markdown. This alternative relationship stems from
Choose firecrawl if…
- firecrawl is primarily TypeScript; Scrapegraph-ai is Python.
- License: firecrawl is AGPL-3.0, Scrapegraph-ai is MIT.
- FireCrawl can be deployed on your infrastructure, giving you complete control over where and how the API interacts with web data.
- Requirements: Min 4 GB RAM; Requires Docker.
- Scrapegraph-ai and firecrawl both offer tools for extracting data from websites, with Scrapegraph-ai focusing on leveraging large language models to automate scraping processes from web sources and local documents, while firecrawl provides an API-centric approach for searching, scraping, and converting extracted web content into clean formats like Markdown. This alternative relationship stems from
- Tags unique to firecrawl: ai-agents, scraping, search, web-data-extraction.
- Also covers AI Agents.
- When you need to automate complex web interactions that require understanding context or content from multiple sources, leveraging its AI agent capabilities.
When NOT to use firecrawl
- For lightweight scraping tasks where minimal data extraction is sufficient and speed is of utmost importance without the need for advanced AI analysis.
- If you require open-source components under a license other than AGPL-3.0, as this license may impose certain restrictions on derivative works.
Choose Scrapegraph-ai if…
- Scrapegraph-ai is primarily Python; firecrawl is TypeScript.
- License: Scrapegraph-ai is MIT, firecrawl is AGPL-3.0.
- Pricing: Free to use with potential charges for advanced features or premium services, as specified by its license..
- Requirements: Developed in Python and can leverage existing libraries and frameworks related to AI and web scraping..
- Scrapegraph-ai and firecrawl both offer tools for extracting data from websites, with Scrapegraph-ai focusing on leveraging large language models to automate scraping processes from web sources and local documents, while firecrawl provides an API-centric approach for searching, scraping, and converting extracted web content into clean formats like Markdown. This alternative relationship stems from
- Tags unique to Scrapegraph-ai: ai-crawler, data-extraction, large-language-model, llm.
- Also covers LLM Frameworks.
- Scrapegraph-ai ships Docker support for self-hosted deployment.
- When you need advanced AI capabilities to parse and understand the context of scraped web content.
When NOT to use Scrapegraph-ai
- If you have simple and straightforward data extraction needs that do not require AI-powered intelligence.
- When your project aims to scrape static or relatively unchanging datasets from websites with well-defined structures, as Scrapegraph-ai is more geared towards complex and dynamic scraping tasks where
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (firecrawl/firecrawl) · observed Aug 16, 2026
- GitHub forks (firecrawl/firecrawl) · observed Aug 16, 2026
- Last push (firecrawl/firecrawl) · observed Aug 15, 2026
- License file (AGPL-3.0) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ScrapeGraphAI/Scrapegraph-ai) · observed Aug 16, 2026
- GitHub forks (ScrapeGraphAI/Scrapegraph-ai) · observed Aug 16, 2026
- Last push (ScrapeGraphAI/Scrapegraph-ai) · observed Jul 20, 2026
- License file (MIT) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: firecrawl 168k · Scrapegraph-ai 30k (synced Aug 16, 2026).
Common questions
- What is the difference between firecrawl and Scrapegraph-ai?
- firecrawl: The API to search, scrape, and interact with the web at scale. 🔥. Scrapegraph-ai: Python scraper based on AI. See the comparison table for live GitHub stats and shared categories.
- When should I choose firecrawl over Scrapegraph-ai?
- Choose firecrawl over Scrapegraph-ai when firecrawl is primarily TypeScript; Scrapegraph-ai is Python; License: firecrawl is AGPL-3.0, Scrapegraph-ai is MIT; FireCrawl can be deployed on your infrastructure, giving you complete control over where and how the API interacts with web data; Requirements: Min 4 GB RAM; Requires Docker; Scrapegraph-ai and firecrawl both offer tools for extracting data from websites, with Scrapegraph-ai focusing on leveraging large language models to automate scraping processes from web sources and local documents, while firecrawl provides an API-centric approach for searching, scraping, and converting extracted web content into clean formats like Markdown. This alternative relationship stems from; Tags unique to firecrawl: ai-agents, scraping, search, web-data-extraction; Also covers AI Agents; When you need to automate complex web interactions that require understanding context or content from multiple sources, leveraging its AI agent capabilities.
- When should I choose Scrapegraph-ai over firecrawl?
- Choose Scrapegraph-ai over firecrawl when Scrapegraph-ai is primarily Python; firecrawl is TypeScript; License: Scrapegraph-ai is MIT, firecrawl is AGPL-3.0; Pricing: Free to use with potential charges for advanced features or premium services, as specified by its license.; Requirements: Developed in Python and can leverage existing libraries and frameworks related to AI and web scraping.; Scrapegraph-ai and firecrawl both offer tools for extracting data from websites, with Scrapegraph-ai focusing on leveraging large language models to automate scraping processes from web sources and local documents, while firecrawl provides an API-centric approach for searching, scraping, and converting extracted web content into clean formats like Markdown. This alternative relationship stems from; Tags unique to Scrapegraph-ai: ai-crawler, data-extraction, large-language-model, llm; Also covers LLM Frameworks; Scrapegraph-ai ships Docker support for self-hosted deployment; When you need advanced AI capabilities to parse and understand the context of scraped web content.
- When should I avoid firecrawl?
- For lightweight scraping tasks where minimal data extraction is sufficient and speed is of utmost importance without the need for advanced AI analysis. If you require open-source components under a license other than AGPL-3.0, as this license may impose certain restrictions on derivative works.
- When should I avoid Scrapegraph-ai?
- If you have simple and straightforward data extraction needs that do not require AI-powered intelligence. When your project aims to scrape static or relatively unchanging datasets from websites with well-defined structures, as Scrapegraph-ai is more geared towards complex and dynamic scraping tasks where
- Is firecrawl or Scrapegraph-ai more popular on GitHub?
- firecrawl has more GitHub stars (167,794 vs 29,618). Stars measure visibility, not whether either tool fits your constraints.
- Are firecrawl and Scrapegraph-ai open source?
- Yes - both are open-source projects on GitHub (firecrawl: AGPL-3.0, Scrapegraph-ai: MIT).
- Where can I find alternatives to firecrawl or Scrapegraph-ai?
- GraphCanon lists graph-backed alternatives at firecrawl alternatives and Scrapegraph-ai alternatives (firecrawl markdown twin, Scrapegraph-ai markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, firecrawl or Scrapegraph-ai?
- firecrawl: Very active. Scrapegraph-ai: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for firecrawl and Scrapegraph-ai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: firecrawl trust report; Scrapegraph-ai trust report.