Data & Analytics comparison
Looker vs Apify
Our pick: Apify scores 8.3/10 against 8.2/10 for Looker. Here's how they differ and which one fits your needs.
VS
At a glance
| Looker | Apify | |
|---|---|---|
| Our score | 8.2/10 | 8.3/10 |
| Best for | Data teams, Enterprises | Developers, Growth teams |
| Type | BI & dashboards | Data scraping |
| Pricing | Contact sales | Free plan |
| Starting price | See website | $39/mo |
| Platforms | Web | Web, API |
| Launched | 2012 | 2015 |
Key features
Looker
- LookML semantic layer
- Conversational analytics
- Looker Studio
- Embedded analytics
- Gemini assistance
Apify
- Actor store
- Cloud scraping
- Proxies
- MCP server
- Integrations
Looker: pros and cons
Pros
- Strong governed semantic layer
- Integrates with BigQuery
Cons
- LookML learning curve
- Enterprise pricing
Apify: pros and cons
Pros
- Huge library of ready scrapers
- Scales well
Cons
- Costs vary by Actor
- Developer skills help for custom work
Verdict: Looker or Apify?
Choose Looker if you're data teams or enterprises and value strong governed semantic layer.
Choose Apify if you're developers or growth teams and value huge library of ready scrapers.
Overall we rate Apify slightly higher. Both are worth trying, and at least one has a free plan or trial. See all Data & Analytics tools for more options.
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