Apify vs Semantic Scholar
A side-by-side comparison to help you choose the right tool.
| Feature | Apify | Semantic Scholar |
|---|---|---|
| Our score | 78 | 78 |
| Pricing | Free tier with $5/month platform credits. Starter at $49/month. Scale at $499/month. Enterprise custom pricing. | Completely free to use. API access is also free with rate limits. |
| 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 | researchers exploring citation networks and paper influence, academics finding relevant papers using natural language queries, students who need a free alternative to paid research databases, anyone building on existing research who needs comprehensive literature discovery |
| Platforms | web, api | web, api |
| API | Yes | Yes |
| Languages | en | en |
| Pros |
|
|
| Cons |
|
|
| 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
- Pricing
- Completely free to use. API access is also free with rate limits.
- Free plan
- Yes
- Best for
- researchers exploring citation networks and paper influence, academics finding relevant papers using natural language queries, students who need a free alternative to paid research databases, anyone building on existing research who needs comprehensive literature discovery
- Platforms
- web, api
- 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
78Choose Semantic Scholar if:
- You are researchers exploring citation networks and paper influence
- You are academics finding relevant papers using natural language queries
- You are students who need a free alternative to paid research databases
- You want to start free
FAQ
- What is the difference between Apify and Semantic Scholar?
- 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. Semantic Scholar is free ai-powered academic search engine from the allen institute for ai that helps researchers find and understand scientific literature through semantic understanding and citation analysis.
- Which is cheaper, Apify or Semantic Scholar?
- Apify: Free tier with $5/month platform credits. Starter at $49/month. Scale at $499/month. Enterprise custom pricing.. Semantic Scholar: Completely free to use. API access is also free with rate limits.. Apify has a free plan. Semantic Scholar 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 Semantic Scholar best for?
- Semantic Scholar is best for researchers exploring citation networks and paper influence, academics finding relevant papers using natural language queries, students who need a free alternative to paid research databases, anyone building on existing research who needs comprehensive literature discovery.