--- title: "airflow vs firecrawl" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apache-airflow-vs-firecrawl-firecrawl" tools: ["apache-airflow", "firecrawl-firecrawl"] --- # airflow vs firecrawl *GraphCanon updated Jul 15, 2026* ## Verdict Pick airflow when airflow is primarily Python; firecrawl is TypeScript; pick firecrawl when firecrawl is primarily TypeScript; airflow is Python. [airflow](https://airflow.apache.org/) reports 46k GitHub stars, 17k forks, and 1.7k open issues, last pushed Jul 15, 2026. [firecrawl](https://firecrawl.dev) has 149k stars, 8.5k forks, and 395 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [airflow's repository](https://github.com/apache/airflow) and [firecrawl's repository](https://github.com/firecrawl/firecrawl). | | [airflow](/tools/apache-airflow.md) | [firecrawl](/tools/firecrawl-firecrawl.md) | | --- | --- | --- | | Tagline | Apache Airflow - A platform to programmatically author, schedule, and monitor workflows | The API to search, scrape, and interact with the web at scale. 🔥 | | Stars | 46,124 | 149,109 | | Forks | 17,387 | 8,524 | | Open issues | 1,728 | 395 | | Language | Python | TypeScript | | Adopt for | - | FireCrawl is an API-driven toolkit built for conducting scalable searches, scraping tasks, and interactive operations with the web using AI agents. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | 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. | | Categories | AI Agents, Computer Vision, Data & Retrieval | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [airflow](/tools/apache-airflow.md) | [firecrawl](/tools/firecrawl-firecrawl.md) | | --- | --- | --- | | Open issues (now) | 1.7k | 395 | | Full report | [trust report](/tools/apache-airflow/trust.md) | [trust report](/tools/firecrawl-firecrawl/trust.md) | ## Decision facts: firecrawl - **Hosting:** self hosted - 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 - **Adopt for:** FireCrawl is an API-driven toolkit built for conducting scalable searches, scraping tasks, and interactive operations with the web using AI agents. - **License detail:** 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. ## Choose when ### Choose airflow if… - airflow is primarily Python; firecrawl is TypeScript. - License: airflow is Apache-2.0, firecrawl is AGPL-3.0. - Tags unique to airflow: airflow, apache, apache-airflow, automation. - Also covers Computer Vision. - airflow ships Docker support for self-hosted deployment. ### Choose firecrawl if… - firecrawl is primarily TypeScript; airflow is Python. - License: firecrawl is AGPL-3.0, airflow is Apache-2.0. - 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 airflow - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ## 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. ## Common questions ### What is the difference between airflow and firecrawl? airflow: Apache Airflow - A platform to programmatically author, schedule, and monitor workflows. firecrawl: The API to search, scrape, and interact with the web at scale. 🔥. See the comparison table for live GitHub stats and shared categories. ### When should I choose airflow over firecrawl? Choose airflow over firecrawl when airflow is primarily Python; firecrawl is TypeScript; License: airflow is Apache-2.0, firecrawl is AGPL-3.0; Tags unique to airflow: airflow, apache, apache-airflow, automation; Also covers Computer Vision; airflow ships Docker support for self-hosted deployment. ### When should I choose firecrawl over airflow? Choose firecrawl over airflow when firecrawl is primarily TypeScript; airflow is Python; License: firecrawl is AGPL-3.0, airflow is Apache-2.0; 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 avoid airflow? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ### 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. ### Is airflow or firecrawl more popular on GitHub? firecrawl has more GitHub stars (149,109 vs 46,124). Stars measure visibility, not whether either tool fits your constraints. ### Are airflow and firecrawl open source? Yes - both are open-source projects on GitHub (airflow: Apache-2.0, firecrawl: AGPL-3.0). ### Where can I find alternatives to airflow or firecrawl? GraphCanon lists graph-backed alternatives at [airflow alternatives](/tools/apache-airflow/alternatives) and [firecrawl alternatives](/tools/firecrawl-firecrawl/alternatives) ([airflow markdown twin](/tools/apache-airflow/alternatives.md), [firecrawl markdown twin](/tools/firecrawl-firecrawl/alternatives.md)), 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](/compare/apache-airflow-vs-firecrawl-firecrawl.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, airflow or firecrawl? airflow: Very active. firecrawl: 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 airflow and firecrawl? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [airflow trust report](/tools/apache-airflow/trust); [firecrawl trust report](/tools/firecrawl-firecrawl/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=apache-airflow`](/api/graphcanon/graph?tool=apache-airflow) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_