Crawlee vs Dynamiq
A side-by-side comparison to help you choose the right tool.
76
Crawlee scores higher overall (76/100)
But the best choice depends on your specific needs. Compare below.
| Feature | Crawlee | Dynamiq |
|---|---|---|
| Our score | 76 | 72 |
| Pricing | Completely free and open source (MIT license). Self-hosted on your own infrastructure. Optional paid hosting available through Apify platform. | Free tier available. Enterprise and on-premise plans priced via sales demo. |
| Free plan | Yes | Yes |
| Best for | developers who want full control over their crawling infrastructure, teams building custom scraping pipelines that need maximum flexibility, open-source enthusiasts who prefer self-hosted solutions, engineers integrating web crawling into existing Node.js applications | Enterprise teams with data residency or compliance requirements (HIPAA, SOC 2, GDPR), Engineering teams that want a full-stack alternative to assembling LangChain, a vector DB, and deployment infra separately, Organizations that need on-premise or air-gapped AI deployment |
| Platforms | api | web, api, on-premise, aws, azure, gcp |
| API | No | Yes |
| Languages | en | en |
| Pros |
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| Cons |
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| Visit site | Get started |
Crawlee
76
- Pricing
- Completely free and open source (MIT license). Self-hosted on your own infrastructure. Optional paid hosting available through Apify platform.
- Free plan
- Yes
- Best for
- developers who want full control over their crawling infrastructure, teams building custom scraping pipelines that need maximum flexibility, open-source enthusiasts who prefer self-hosted solutions, engineers integrating web crawling into existing Node.js applications
- Platforms
- api
- API
- No
- Languages
- en
Dynamiq
72
- Pricing
- Free tier available. Enterprise and on-premise plans priced via sales demo.
- Free plan
- Yes
- Best for
- Enterprise teams with data residency or compliance requirements (HIPAA, SOC 2, GDPR), Engineering teams that want a full-stack alternative to assembling LangChain, a vector DB, and deployment infra separately, Organizations that need on-premise or air-gapped AI deployment
- Platforms
- web, api, on-premise, aws, azure, gcp
- API
- Yes
- Languages
- en
76Choose Crawlee if:
- You are developers who want full control over their crawling infrastructure
- You are teams building custom scraping pipelines that need maximum flexibility
- You are open-source enthusiasts who prefer self-hosted solutions
- You want to start free
72Choose Dynamiq if:
- You are Enterprise teams with data residency or compliance requirements (HIPAA, SOC 2, GDPR)
- You are Engineering teams that want a full-stack alternative to assembling LangChain, a vector DB, and deployment infra separately
- You are Organizations that need on-premise or air-gapped AI deployment
- You want to start free
FAQ
- What is the difference between Crawlee and Dynamiq?
- Crawlee is an open-source node.js web crawling and scraping framework built by the team behind apify. provides a batteries-included toolkit for building reliable crawlers with automatic retries, proxy rotation, and headless browser support, all running on your own infrastructure. Dynamiq is end-to-end platform for building, deploying, and monitoring ai agents and genai workflows with a visual canvas, rag pipelines, llm fine-tuning, and on-premise deployment for enterprise teams.
- Which is cheaper, Crawlee or Dynamiq?
- Crawlee: Completely free and open source (MIT license). Self-hosted on your own infrastructure. Optional paid hosting available through Apify platform.. Dynamiq: Free tier available. Enterprise and on-premise plans priced via sales demo.. Crawlee has a free plan. Dynamiq has a free plan.
- Who is Crawlee best for?
- Crawlee is best for developers who want full control over their crawling infrastructure, teams building custom scraping pipelines that need maximum flexibility, open-source enthusiasts who prefer self-hosted solutions, engineers integrating web crawling into existing Node.js applications.
- Who is Dynamiq best for?
- Dynamiq is best for Enterprise teams with data residency or compliance requirements (HIPAA, SOC 2, GDPR), Engineering teams that want a full-stack alternative to assembling LangChain, a vector DB, and deployment infra separately, Organizations that need on-premise or air-gapped AI deployment.