Apify vs Bright Data

Detailed side-by-side comparison to help you choose the right tool

Apify

🔴Developer

web 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

Free

Bright Data

🔴Developer

Web 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 requests

Feature Comparison

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FeatureApifyBright Data
Categoryweb dataWeb Data
Pricing Plans4 listed plans5 listed plans
Starting PriceFreeFrom $1/1,000 requests
Key Features
  • • Web scraping with 1,500+ pre-built Actors
  • • Managed proxy rotation (datacenter and residential)
  • • JavaScript rendering and dynamic content handling
  • • Scraping APIs: Provides unlocking, crawling, SERP, and site-specific extraction APIs.
  • • Proxy networks: Offers residential, ISP, and datacenter routes with different billing units.
  • • Browser API: Runs browser-based collection for JavaScript-heavy or interactive targets.

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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