Apify vs AutoGPT
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 | AutoGPT |
|---|---|---|
| Our score | 78 | 65 |
| Pricing | Free tier with $5/month platform credits. Starter at $49/month. Scale at $499/month. Enterprise custom pricing. | Free and open-source. Requires your own API keys for underlying LLM providers. Cloud-hosted version in development. |
| 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 | developers and researchers experimenting with autonomous AI agents, technical users who want to automate multi-step research workflows, AI enthusiasts exploring the boundaries of agent-based systems, teams prototyping agent-based automation before building custom solutions |
| Platforms | web, api | desktop, web |
| API | Yes | No |
| Languages | en | en |
| Pros |
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| Visit site | Visit site |
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
AutoGPT
65
- Pricing
- Free and open-source. Requires your own API keys for underlying LLM providers. Cloud-hosted version in development.
- Free plan
- Yes
- Best for
- developers and researchers experimenting with autonomous AI agents, technical users who want to automate multi-step research workflows, AI enthusiasts exploring the boundaries of agent-based systems, teams prototyping agent-based automation before building custom solutions
- Platforms
- desktop, web
- API
- No
- 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
65Choose AutoGPT if:
- You are developers and researchers experimenting with autonomous AI agents
- You are technical users who want to automate multi-step research workflows
- You are AI enthusiasts exploring the boundaries of agent-based systems
- You want to start free
FAQ
- What is the difference between Apify and AutoGPT?
- 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. AutoGPT is open-source autonomous ai agent framework that chains together llm calls to complete multi-step tasks independently, pioneering the concept of self-directed ai agents.
- Which is cheaper, Apify or AutoGPT?
- Apify: Free tier with $5/month platform credits. Starter at $49/month. Scale at $499/month. Enterprise custom pricing.. AutoGPT: Free and open-source. Requires your own API keys for underlying LLM providers. Cloud-hosted version in development.. Apify has a free plan. AutoGPT 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 AutoGPT best for?
- AutoGPT is best for developers and researchers experimenting with autonomous AI agents, technical users who want to automate multi-step research workflows, AI enthusiasts exploring the boundaries of agent-based systems, teams prototyping agent-based automation before building custom solutions.