Apify vs Bright Data
Detailed side-by-side comparison to help you choose the right tool
Apify
🔴Developerweb data
web scraping, browser automation, and data extraction platform with ready-made Actors for collecting web data for AI workflows.
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Starting Price
FreeBright Data
🔴DeveloperWeb Data
Bright Data is a web-data platform spanning proxy infrastructure, scraping APIs, browser automation, pre-collected datasets, and managed acquisition.
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Starting Price
From $1/1,000 requestsFeature Comparison
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Apify - Pros & Cons
Pros
- ✓Huge Actor marketplace shortens build time compared with writing every scraper from scratch
- ✓Good fit for AI pipelines because results land in structured datasets instead of screenshots or brittle copy-paste flows
- ✓Scheduling, proxies, storage, and APIs are bundled, which reduces glue code for production scraping
- ✓MCP support makes Apify more agent-friendly than many traditional scraping tools
Cons
- ✗Costs can rise fast when Actors use heavy browser sessions, proxies, or high-volume datasets
- ✗Marketplace Actor quality varies, so production teams still need monitoring and fallback plans
- ✗Legal and compliance review is still your job; Apify does not make every target site safe to scrape
Bright Data - Pros & Cons
Pros
- ✓Unusually broad path from raw proxies to managed, finished datasets.
- ✓Published starting rates let builders estimate a small pilot before contacting sales.
- ✓MCP support is convenient for agents needing current public-web information.
- ✓More than 900 dataset domains can avoid building and maintaining custom collectors.
Cons
- ✗Many billing units make apples-to-apples cost comparison difficult.
- ✗Starting prices can understate real cost when retries, bandwidth, premium targets, and geography are included.
- ✗Web collection creates legal, privacy, and target-policy obligations that tooling does not remove.
- ✗The platform's breadth adds configuration and operational complexity for simple crawling jobs.
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