Apify vs Dynamiq
A side-by-side comparison to help you choose the right tool.
78
Apify scores higher overall (78/100)
But the best choice depends on your specific needs. Compare below.
| Feature | Apify | Dynamiq |
|---|---|---|
| Our score | 78 | 72 |
| Pricing | Free tier with $5/month platform credits. Starter at $49/month. Scale at $499/month. Enterprise custom pricing. | Free tier available. Enterprise and on-premise plans priced via sales demo. |
| Free plan | Yes | Yes |
| Best for | teams that need pre-built scrapers from the Actor marketplace, non-developers who prefer a visual workflow builder over code, enterprises running large-scale scraping with proxy management, data teams collecting structured datasets from well-known sites, agencies managing multiple scraping projects for clients | 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 | web, api, on-premise, aws, azure, gcp |
| API | Yes | Yes |
| Languages | en | en |
| Pros |
|
|
| Cons |
|
|
| Visit site | Get started |
Apify
78
- Pricing
- Free tier with $5/month platform credits. Starter at $49/month. Scale at $499/month. Enterprise custom pricing.
- Free plan
- Yes
- Best for
- teams that need pre-built scrapers from the Actor marketplace, non-developers who prefer a visual workflow builder over code, enterprises running large-scale scraping with proxy management, data teams collecting structured datasets from well-known sites, agencies managing multiple scraping projects for clients
- Platforms
- web, api
- API
- Yes
- 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
78Choose Apify if:
- You are teams that need pre-built scrapers from the Actor marketplace
- You are non-developers who prefer a visual workflow builder over code
- You are enterprises running large-scale scraping with proxy management
- 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 Apify and Dynamiq?
- Apify is a full-featured web scraping and automation platform with a visual builder, a marketplace of pre-built scrapers (actors), and managed proxy infrastructure. covers a wide range of use cases from simple page scraping to complex browser automation workflows. 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, Apify or Dynamiq?
- Apify: Free tier with $5/month platform credits. Starter at $49/month. Scale at $499/month. Enterprise custom pricing.. Dynamiq: Free tier available. Enterprise and on-premise plans priced via sales demo.. Apify has a free plan. Dynamiq has a free plan.
- Who is Apify best for?
- Apify is best for teams that need pre-built scrapers from the Actor marketplace, non-developers who prefer a visual workflow builder over code, enterprises running large-scale scraping with proxy management, data teams collecting structured datasets from well-known sites, agencies managing multiple scraping projects for clients.
- 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.