--- title: "airflow vs scrapecraft" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apache-airflow-vs-scrapegraphai-scrapecraft" tools: ["apache-airflow", "scrapegraphai-scrapecraft"] --- # airflow vs scrapecraft *GraphCanon updated Jul 15, 2026* ## Verdict Pick airflow when license: airflow is Apache-2.0, scrapecraft is MIT; pick scrapecraft when license: scrapecraft is MIT, airflow is Apache-2.0. [airflow](https://airflow.apache.org/) reports 46k GitHub stars, 17k forks, and 1.7k open issues, last pushed Jul 15, 2026. [scrapecraft](https://github.com/ScrapeGraphAI/scrapecraft) has 671 stars, 105 forks, and 1 open issues, last pushed Dec 26, 2025. Figures are from public GitHub metadata via [airflow's repository](https://github.com/apache/airflow) and [scrapecraft's repository](https://github.com/ScrapeGraphAI/scrapecraft). | | [airflow](/tools/apache-airflow.md) | [scrapecraft](/tools/scrapegraphai-scrapecraft.md) | | --- | --- | --- | | Tagline | Apache Airflow - A platform to programmatically author, schedule, and monitor workflows | 🤖 AI-powered web scraping editor with visual workflow builder. Build, test & deploy web scrapers using natural language. Powered by ScrapeGraphAI & LangGraph. | | Stars | 46,124 | 671 | | Forks | 17,387 | 105 | | Open issues | 1,728 | 1 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Computer Vision, Data & Retrieval | Data & Retrieval, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [airflow](/tools/apache-airflow.md) | [scrapecraft](/tools/scrapegraphai-scrapecraft.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 201d | | Open issues (now) | 1.7k | 1 | | Full report | [trust report](/tools/apache-airflow/trust.md) | [trust report](/tools/scrapegraphai-scrapecraft/trust.md) | ## Choose when ### Choose airflow if… - License: airflow is Apache-2.0, scrapecraft is MIT. - Tags unique to airflow: airflow, apache, apache-airflow, dag. - Also covers AI Agents, Computer Vision. - airflow ships Docker support for self-hosted deployment. ### Choose scrapecraft if… - License: scrapecraft is MIT, airflow is Apache-2.0. - Tags unique to scrapecraft: ai, data-extraction, docker, fastapi. - Also covers Inference & Serving. ## 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 scrapecraft - Last GitHub push was 201 days ago (slowing maintenance, Dec 26, 2025). Validate activity before betting a new project on scrapecraft. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## Common questions ### What is the difference between airflow and scrapecraft? airflow: Apache Airflow - A platform to programmatically author, schedule, and monitor workflows. scrapecraft: 🤖 AI-powered web scraping editor with visual workflow builder. Build, test & deploy web scrapers using natural language. Powered by ScrapeGraphAI & LangGraph.. See the comparison table for live GitHub stats and shared categories. ### When should I choose airflow over scrapecraft? Choose airflow over scrapecraft when License: airflow is Apache-2.0, scrapecraft is MIT; Tags unique to airflow: airflow, apache, apache-airflow, dag; Also covers AI Agents, Computer Vision; airflow ships Docker support for self-hosted deployment. ### When should I choose scrapecraft over airflow? Choose scrapecraft over airflow when License: scrapecraft is MIT, airflow is Apache-2.0; Tags unique to scrapecraft: ai, data-extraction, docker, fastapi; Also covers Inference & Serving. ### 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 scrapecraft? Last GitHub push was 201 days ago (slowing maintenance, Dec 26, 2025). Validate activity before betting a new project on scrapecraft. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### Is airflow or scrapecraft more popular on GitHub? airflow has more GitHub stars (46,124 vs 671). Stars measure visibility, not whether either tool fits your constraints. ### Are airflow and scrapecraft open source? Yes - both are open-source projects on GitHub (airflow: Apache-2.0, scrapecraft: MIT). ### Where can I find alternatives to airflow or scrapecraft? GraphCanon lists graph-backed alternatives at [airflow alternatives](/tools/apache-airflow/alternatives) and [scrapecraft alternatives](/tools/scrapegraphai-scrapecraft/alternatives) ([airflow markdown twin](/tools/apache-airflow/alternatives.md), [scrapecraft markdown twin](/tools/scrapegraphai-scrapecraft/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-scrapegraphai-scrapecraft.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, airflow or scrapecraft? airflow: Very active. scrapecraft: Slowing. 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 scrapecraft? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [airflow trust report](/tools/apache-airflow/trust); [scrapecraft trust report](/tools/scrapegraphai-scrapecraft/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/_