--- title: "autoscraper vs airflow" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alirezamika-autoscraper-vs-apache-airflow" tools: ["alirezamika-autoscraper", "apache-airflow"] --- # autoscraper vs airflow *GraphCanon updated Jul 15, 2026* ## Verdict Pick autoscraper when license: autoscraper is MIT, airflow is Apache-2.0; pick airflow when license: airflow is Apache-2.0, autoscraper is MIT. [autoscraper](https://github.com/alirezamika/autoscraper) reports 7.6k GitHub stars, 779 forks, and 0 open issues, last pushed Jun 9, 2025. [airflow](https://airflow.apache.org/) has 46k stars, 17k forks, and 1.7k open issues, last pushed Jul 15, 2026. Figures are from public GitHub metadata via [autoscraper's repository](https://github.com/alirezamika/autoscraper) and [airflow's repository](https://github.com/apache/airflow). | | [autoscraper](/tools/alirezamika-autoscraper.md) | [airflow](/tools/apache-airflow.md) | | --- | --- | --- | | Tagline | A Smart, Automatic, Fast and Lightweight Web Scraper for Python | Apache Airflow - A platform to programmatically author, schedule, and monitor workflows | | Stars | 7,603 | 46,124 | | Forks | 779 | 17,387 | | Open issues | 0 | 1,728 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Data & Retrieval | AI Agents, Computer Vision, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [autoscraper](/tools/alirezamika-autoscraper.md) | [airflow](/tools/apache-airflow.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 400d | 0d | | Open issues (now) | 0 | 1.7k | | Owner type | User | Organization | | Full report | [trust report](/tools/alirezamika-autoscraper/trust.md) | [trust report](/tools/apache-airflow/trust.md) | ## Choose when ### Choose autoscraper if… - License: autoscraper is MIT, airflow is Apache-2.0. - Tags unique to autoscraper: ai, artificial-intelligence, crawler, machine-learning. - Leaner open-issue backlog (0). ### Choose airflow if… - License: airflow is Apache-2.0, autoscraper 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 NOT to use autoscraper - Last GitHub push was 401 days ago (dormant maintenance, Jun 9, 2025). Validate activity before betting a new project on autoscraper. - 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 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. ## Common questions ### What is the difference between autoscraper and airflow? autoscraper: A Smart, Automatic, Fast and Lightweight Web Scraper for Python. airflow: Apache Airflow - A platform to programmatically author, schedule, and monitor workflows. See the comparison table for live GitHub stats and shared categories. ### When should I choose autoscraper over airflow? Choose autoscraper over airflow when License: autoscraper is MIT, airflow is Apache-2.0; Tags unique to autoscraper: ai, artificial-intelligence, crawler, machine-learning; Leaner open-issue backlog (0). ### When should I choose airflow over autoscraper? Choose airflow over autoscraper when License: airflow is Apache-2.0, autoscraper 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 avoid autoscraper? Last GitHub push was 401 days ago (dormant maintenance, Jun 9, 2025). Validate activity before betting a new project on autoscraper. 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 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. ### Is autoscraper or airflow more popular on GitHub? airflow has more GitHub stars (46,124 vs 7,603). Stars measure visibility, not whether either tool fits your constraints. ### Are autoscraper and airflow open source? Yes - both are open-source projects on GitHub (autoscraper: MIT, airflow: Apache-2.0). ### Where can I find alternatives to autoscraper or airflow? GraphCanon lists graph-backed alternatives at [autoscraper alternatives](/tools/alirezamika-autoscraper/alternatives) and [airflow alternatives](/tools/apache-airflow/alternatives) ([autoscraper markdown twin](/tools/alirezamika-autoscraper/alternatives.md), [airflow markdown twin](/tools/apache-airflow/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/alirezamika-autoscraper-vs-apache-airflow.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, autoscraper or airflow? autoscraper: Dormant. airflow: 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 autoscraper and airflow? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autoscraper trust report](/tools/alirezamika-autoscraper/trust); [airflow trust report](/tools/apache-airflow/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=alirezamika-autoscraper`](/api/graphcanon/graph?tool=alirezamika-autoscraper) - 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/_