Comparison
firecrawl vs PageIndex
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 PageIndex if pageIndex is a Python-based document indexing system that doesn't rely on vector databases. It's designed for agentic AI tasks where reasoning and context are key.
Markdown twin · firecrawl alternatives · PageIndex alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | firecrawl | PageIndex |
|---|---|---|
| Maintenance | Very active (0d since push) As of 5d · github_public_v1 | Very active (1d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 5d · github_public_v1 | Not a fork · Organization account As of 4d · 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. 🔥
- PageIndex
- Document Index for Vectorless, Reasoning-based RAG
Stars
- firecrawl
- 168k
- PageIndex
- 35k
Forks
- firecrawl
- 9.4k
- PageIndex
- 3.1k
Open issues
- firecrawl
- 508
- PageIndex
- 157
Language
- firecrawl
- TypeScript
- PageIndex
- 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.
- PageIndex
- PageIndex is a Python-based document indexing system that doesn't rely on vector databases. It's designed for agentic AI tasks where reasoning and context are key.
Persona
- firecrawl
- -
- PageIndex
- -
Runtime
- firecrawl
- -
- PageIndex
- -
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.
- PageIndex
- MIT
Last pushed
- firecrawl
- Aug 15, 2026
- PageIndex
- Aug 14, 2026
Categories
- firecrawl
- AI Agents, Data & Retrieval
- PageIndex
- AI Agents, Data & Retrieval
Trust and health
Days since push
- firecrawl
- 0d
- PageIndex
- 1d
Open issues (now)
- firecrawl
- 508
- PageIndex
- 157
Stars delta
- firecrawl
- +16k (30d)
- PageIndex
- +1.1k (30d)
Open issues delta
- firecrawl
- +106 (30d)
- PageIndex
- +18 (30d)
Full report
- firecrawl
- Trust report
- PageIndex
- Trust report
Choose firecrawl if…
- firecrawl is primarily TypeScript; PageIndex is Python.
- License: firecrawl is AGPL-3.0, PageIndex 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.
- Tags unique to firecrawl: ai-agents, crawler, scraping, search.
- 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 PageIndex if…
- PageIndex is primarily Python; firecrawl is TypeScript.
- License: PageIndex is MIT, firecrawl is AGPL-3.0.
- Tags unique to PageIndex: agentic-ai, agents, context-engineering, information-retrieval.
- When your agentic AI project requires a non-vector database solution for reasoning and retrieval-augmented generation.
When NOT to use PageIndex
- For projects that strictly require the efficiency of vector databases, as PageIndex operates independently of these technologies.
- When your application demands real-time indexing or quick data access methods that are more suited to vector database capabilities.
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 (VectifyAI/PageIndex) · observed Aug 16, 2026
- GitHub forks (VectifyAI/PageIndex) · observed Aug 16, 2026
- Last push (VectifyAI/PageIndex) · observed Aug 14, 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 · PageIndex 35k (synced Aug 16, 2026).
Common questions
- What is the difference between firecrawl and PageIndex?
- firecrawl: The API to search, scrape, and interact with the web at scale. 🔥. PageIndex: Document Index for Vectorless, Reasoning-based RAG. See the comparison table for live GitHub stats and shared categories.
- When should I choose firecrawl over PageIndex?
- Choose firecrawl over PageIndex when firecrawl is primarily TypeScript; PageIndex is Python; License: firecrawl is AGPL-3.0, PageIndex 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; Tags unique to firecrawl: ai-agents, crawler, scraping, search; 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 PageIndex over firecrawl?
- Choose PageIndex over firecrawl when PageIndex is primarily Python; firecrawl is TypeScript; License: PageIndex is MIT, firecrawl is AGPL-3.0; Tags unique to PageIndex: agentic-ai, agents, context-engineering, information-retrieval; When your agentic AI project requires a non-vector database solution for reasoning and retrieval-augmented generation.
- 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 PageIndex?
- For projects that strictly require the efficiency of vector databases, as PageIndex operates independently of these technologies. When your application demands real-time indexing or quick data access methods that are more suited to vector database capabilities.
- Is firecrawl or PageIndex more popular on GitHub?
- firecrawl has more GitHub stars (167,794 vs 35,204). Stars measure visibility, not whether either tool fits your constraints.
- Are firecrawl and PageIndex open source?
- Yes - both are open-source projects on GitHub (firecrawl: AGPL-3.0, PageIndex: MIT).
- Where can I find alternatives to firecrawl or PageIndex?
- GraphCanon lists graph-backed alternatives at firecrawl alternatives and PageIndex alternatives (firecrawl markdown twin, PageIndex 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 PageIndex?
- firecrawl: Very active. PageIndex: Very 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 PageIndex?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: firecrawl trust report; PageIndex trust report.