2026年十大网页爬虫工具全面对比
Daniel Mitchell· 高级数据战略分析师2026-07-10市场上有数十种网页爬虫工具,从代理网络到全托管爬虫平台,选择繁多。本文从功能、价格、易用性、扩展性等维度全面对比十大主流工具,并提供分场景选择建议。
Why Professional Scraping Tools: Build vs Buy
In the world of web scraping, "doing it yourself" is not always the best choice. As website anti-scraping technology continues to evolve — with the proliferation of professional protection systems like Cloudflare, Akamai, and DataDome — custom-built scrapers face unprecedented challenges.
The Hidden Costs of Self-Built Scrapers
Many people only see the "free" aspect of self-built scrapers while ignoring the hidden costs:
| Cost Category | Description | Estimated Cost |
|---|---|---|
| Development Cost | Writing scraper code, parsing rules, error handling | 2-8 weeks of developer time |
| Proxy Cost | Obtaining and managing proxy IPs | $50-500+/month |
| Maintenance Cost | Updating rules when sites change, handling anti-bot upgrades | 20-50% of initial dev time/year |
| Infrastructure Cost | Servers, storage, monitoring | $20-200+/month |
| Opportunity Cost | Business loss from delayed data acquisition | Hard to quantify but potentially high |
The Value Proposition of Professional Tools
Professional scraping tools and platforms help companies significantly reduce data collection barriers and costs through:
- Large-Scale Proxy Networks: Like Bright Data's 72M+ residential IPs, Oxylabs' 100M+ residential IPs. Building an equivalent proxy pool yourself is nearly impossible
- Intelligent Anti-Detection Technology: Automatic handling of CAPTCHAs, browser fingerprints, TLS fingerprints, behavior simulation, etc. The R&D cost for these technologies is in the millions of dollars
- Pre-Built Template Ecosystem: Apify Store has thousands of pre-built Actors covering major websites like Amazon, Google, and Instagram. Ready to use out of the box
- Elastic Cloud Infrastructure: Scale on demand, seamlessly transitioning from hundreds to millions of pages per day
- Data Quality Assurance: Automated data cleaning, formatting, deduplication, and validation
When to Build vs When to Buy?
| Condition | Recommendation |
|---|---|
| < 1,000 pages/day | Use free/low-cost tools |
| 1,000-10,000 pages/day | Use API services like ScraperAPI, ScrapingBee |
| 10K-100K pages/day | Use cloud platforms like Apify, Decodo |
| > 100K pages/day | Consider Bright Data/Oxylabs + self-built hybrid |
| Professional dev team + unique needs | Self-build scraper + buy proxy service |
| No technical team | Use Octoparse, Apify no-code solutions |
Detailed Comparison of the Top 10 Tools
1. Bright Data — The Industry Benchmark for Enterprise Data Collection
Bright Data (formerly Luminati) is one of the world's largest and most comprehensive data collection platforms. Its "full-stack" philosophy means you can complete everything from proxy to data delivery on a single platform.
Product Line Overview:
- Proxy Network: 72M+ residential IPs | 770K+ datacenter IPs | 7M+ mobile IPs | ISP proxies
- Web Unlocker: Automatically bypasses all major anti-bot systems including Cloudflare, Akamai, and DataDome. Users just send requests, everything else is automatic
- Scraping Browser: Managed headless browser cluster with built-in proxies and fingerprint spoofing
- Pre-Built Datasets: Cleaned e-commerce, social media, and search engine datasets (ready to use immediately)
- SERP API: Structured data from search engines like Google, Bing
- Web Scraper IDE: Cloud-based scraper development environment with built-in code editor and debugging tools
Technical Capabilities:
- Coverage across 195 countries and regions, precise to city level
- 99.99% uptime SLA
- SDKs for all major programming languages
- Enterprise compliance framework (GDPR, CCPA compliant)
Core Strengths: Most comprehensive product matrix in the industry, one of the largest proxy networks, strongest anti-bot bypass capability, enterprise-grade reliability and support
Drawbacks: Higher pricing (suited for enterprise budgets), steeper learning curve (too many features), may be overkill for small projects
Typical Clients: Fortune 500 companies, large e-commerce, financial institutions, market research firms
Reference Pricing: Residential proxies from $10.50/GB | Web Unlocker from $3/1,000 requests | Custom enterprise plans available
2. Apify — Developer and Community-Driven Cloud Platform
Apify's distinction lies in its "platform + marketplace" model. It's not just a cloud scraping runtime but also an app marketplace gathering thousands of pre-built scrapers (Actors).
Product Line Overview:
- Apify Store: Over 3,000 pre-built Actors covering major sites like Amazon, Google, Instagram, Twitter, and LinkedIn
- Crawlee: Open-source scraping framework (Node.js), maintained by the Apify team, an enhanced version of Puppeteer/Playwright
- Apify Console: Web-based scraper management and monitoring tool
- Actor Development Environment: Cloud code editor and debugging tools
- Proxy Integration: Built-in residential and datacenter proxies (provided through partners)
- Scheduled Automation: Cron expressions or fixed-interval automated collection
Technical Capabilities:
- Supports JavaScript/TypeScript and Python
- Built-in request queues, deduplication, automatic retries
- GitHub integration, supports Actor version control
- Rich API and webhook integration
Core Strengths: Rich pre-built Actor ecosystem (saving massive development time), flexible pay-per-use pricing, active open-source community and documentation, developer-friendly
Drawbacks: Costs increase quickly after free tier, proxy capabilities less than dedicated proxy services, better suited for small to medium projects
Typical Clients: Developers, SaaS startups, data teams at mid-size enterprises
Reference Pricing: Free tier $5/month | Paid plans from $49/month | Apify Store Actors pay-per-execution
3. Decodo (Formerly Smartproxy) — High Value All-Rounder
Decodo (rebranded from Smartproxy in 2025) is a fast-growing data collection platform known for its high cost-effectiveness and ease of use. It's transitioning from a "proxy service provider" to a "data collection platform."
Product Line Overview:
- Proxy Network: 55M+ residential IPs | 100K+ datacenter IPs | Mobile proxies | ISP proxies (covering 195+ countries)
- Site Scraping API: Fully managed scraping API, automatic proxy handling, JS rendering, and anti-bot bypass
- E-Commerce Scraping API: Dedicated collection API for e-commerce platforms like Amazon, eBay, Walmart
- SERP Scraping API: Structured data from search engines like Google, Bing
- Social E-Commerce Scraping API: Dedicated collection solution for social media commerce
- Datacenter Proxies: Pay per IP or per traffic
Technical Capabilities:
- 99.99% uptime guarantee
- Precise geo-targeting at country and city level
- HTTP/HTTPS/SOCKS5 protocol support
- Unlimited concurrent connections
Core Strengths: Outstanding cost-effectiveness in its category, easy to use (simple API and intuitive dashboard), comprehensive product coverage, SME-friendly
Drawbacks: Proxy network smaller than Bright Data and Oxylabs, pre-built template ecosystem less rich than Apify, some advanced features still in development
Typical Clients: SMEs, startups, budget-conscious data teams
Reference Pricing: Residential proxies from $7/GB | Site Scraping API from $2/1,000 requests | Monthly plans from $50/month
4. Zyte — The Official Extension of the Scrapy Ecosystem
Zyte (formerly Scrapinghub) was founded by Scrapy framework creator Pablo Hoffman. If you're a Python/Scrapy user, Zyte offers the most native cloud extension solution.
Product Line Overview:
- Zyte API: One-stop data extraction API, automatically handling crawling, rendering, and anti-scraping. Just send a URL, get structured data back automatically
- Scrapy Cloud: Cloud runtime environment for Scrapy spiders, one-click deployment and elastic scaling
- Smart Proxy Manager: Intelligent proxy manager designed for scrapers, automatic rotation and retries
- Automatic Extraction: AI-driven data extraction, automatically identifying structured information like products and articles in pages
- Scrapy Framework: Continues maintaining and advancing the Scrapy open-source framework
Technical Capabilities:
- Deep integration with Scrapy (team includes Scrapy core developers)
- AI-driven automatic data extraction technology
- Supports both custom extraction rules and automatic extraction modes
- Seamless connection with the Python ecosystem
Core Strengths: Native Scrapy integration, AI auto-extraction reduces rule-writing work, intelligent proxy management (no manual proxy logic handling), most friendly to Python developers
Drawbacks: Less appealing to non-Scrapy users, proxy coverage less than Bright Data, relatively vertical product line
Typical Clients: Python development teams, Scrapy users, teams needing AI-assisted data extraction
Reference Pricing: Free tier 1,000 requests/month | Paid plans from $29/month | Scrapy Cloud free tier available
5. Oxylabs — Enterprise Proxies and AI Scraping
Oxylabs is Bright Data's main competitor in the high-end market, also offering a massive proxy network and AI-driven scraping solutions.
Product Line Overview:
- Proxy Network: 100M+ residential IPs (one of the largest in the industry) | Datacenter proxies | ISP proxies | Mobile proxies
- Web Unblocker: AI-driven anti-bot bypass service, automatically adapting to various anti-bot systems
- Web Scraper API: Fully managed scraper covering e-commerce, search engines, maps, etc.
- Dataset Services: Pre-built industry datasets (e-commerce, recruitment, real estate, etc.)
- OxyCopilot: AI-assisted scraper configuration tool
Core Strengths: Massive proxy network, leading AI technology, enterprise-grade SLA and support, comprehensive data compliance solutions
Drawbacks: Primarily targets enterprise clients (high entry barrier), higher pricing, community and third-party ecosystem less rich than Apify
Reference Pricing: Residential proxies from $15/GB | Primarily custom enterprise plans | 7-day free trial
6. AntsData — Lightweight, AI-Friendly Data Collection Platform for the Modern Era
AntsData is a fast-rising next-generation data collection platform, built around the idea that enterprise-grade scraping capability shouldn't require enterprise-level budgets. Designed with AI startups and mid-size SaaS teams in mind, it packages Web Unlocker, Scraper, and SERP into a single, competitively priced platform.
Product Line Overview:
- Web Unlocker: Fully automated anti-bot bypass engine supporting Cloudflare, Akamai, DataDome, and other major protection systems. Users send requests, everything else is automatic — no need to worry about proxies, fingerprint spoofing, or JS rendering
- Social Media Scraper: Covers Instagram, TikTok, Twitter/X, LinkedIn, YouTube, and more. Multi-dimensional collection including posts, user profiles, comments, and follower data
- E-Commerce Scraper: Covers Amazon, eBay, Shopify, Walmart, Taobao, JD.com, and more. Complete data dimensions including prices, reviews, BSR rankings, and stock status
- AI Training Data Collection: Batch web data collection optimized for LLM training. Supports multilingual pages with structured, cleaned output — ideal for pre-training and RAG pipelines
- SERP API: Real-time structured data from Google, Bing, Baidu, and more. Distinguishes between organic and paid search results
- App Store Data Assets: In-house App Store and Google Play data collection covering app details, ratings, reviews, rankings, and developer information — a distinctive dataset for competitive analysis and market research
Technical Capabilities:
- AI-driven smart parsing: Automatically identifies page structure and data fields, significantly reducing manual configuration effort
- AI/ML workflow friendly: Python SDK and RESTful API for seamless integration into data pipelines and training workflows
- Output formats include JSON, CSV, and Parquet — fully compatible with data science toolchains
- Real-time and batch delivery modes
Core Strengths: Aggressively competitive pricing (among the lowest in its class), unified Unlock + Scraper + SERP offering in one platform, differentiated app store data assets, purpose-built AI training data capabilities, low barrier to entry for small and medium teams
Drawbacks: Brand recognition still developing compared to Bright Data and Oxylabs, proxy network scale relatively smaller, some deep customization features (e.g., custom browser fingerprinting) less configurable than top-tier competitors
Typical Clients: AI startups, SaaS product teams, indie developers, budget-conscious fast-growing teams
Reference Pricing: Low entry-level options available | Flexible pay-per-use | Generous free trial credits
7. ScrapingBee — The Simplest Scraping API
ScrapingBee's tagline is "Web Scraping API for Developers." Its core philosophy is making scraping as simple as calling a regular API — one HTTP request handles everything.
Product Features:
- Single API endpoint, all parameters passed via URL parameters or request headers
- Automatic proxy rotation (built-in residential and datacenter proxies)
- Automatic JavaScript rendering (Chrome headless browser)
- Screenshot support
- Custom wait times and resource blocking
Core Strengths: Ultimate simplicity, clear documentation, ideal for rapid prototyping
Drawbacks: Relatively basic feature set, costs increase at scale, less flexible than full-stack platforms
Pricing: Free tier 1,000 requests/month | Paid from $49/month
8. ScraperAPI — Reliable and Affordable Scraping API
ScraperAPI has a similar positioning to ScrapingBee but with a different strategy — it focuses on providing the most reliable proxy rotation and anti-bot bypass API.
Product Features:
- Automatic IP rotation per request (supports residential and datacenter proxies)
- Automatic JavaScript rendering
- Geo-targeting support (50+ countries)
- Automatic CAPTCHA handling
- Custom headers and cookies
Core Strengths: High reliability, flexible pay-as-you-go, large proxy pool
Drawbacks: Advanced features require higher-tier plans, less feature-rich than professional platforms
Pricing: Free tier 5,000 requests/month | Paid from $49/month
9. ScrapeOps — Scraper Monitoring and Operations Platform
ScrapeOps has a unique positioning — it's not a scraping tool but a scraping monitoring and management tool. It helps you "watch over" all your running scrapers.
Core Features:
- Unified scraper monitoring dashboard
- Real-time tracking of success rates, response times, and other performance metrics
- Error aggregation and alerts
- Proxy aggregation service (integrating multiple proxy suppliers)
- Data quality monitoring
Core Strengths: One of the best-in-class scraper monitoring solutions, proxy aggregation reduces proxy costs
Drawbacks: Needs to be used alongside other collection tools, limited standalone value
Pricing: Free plan available | Paid from $49/month
10. Crawlbase — Clean and Efficient Scraping API
Crawlbase (formerly ProxyCrawl) provides clean scraping APIs and proxy services. Its Lead Store feature (providing business contact data) is a unique differentiator.
Product Features:
- Crawling API (general web crawling)
- Scraper API (simplified data extraction)
- Lead Store (business contact database)
- Built-in anti-bot bypass and CAPTCHA handling
Core Strengths: Clean API, unique Lead Store value, quick integration
Drawbacks: Relatively basic feature set, gap compared to full-stack platforms
Pricing: Free tier 1,000 requests/month | Paid from $29/month
Comprehensive Feature Matrix
| Feature / Tool | Bright Data | Apify | Decodo | Zyte | Oxylabs | AntsData | ScrapingBee | ScraperAPI | ScrapeOps | Crawlbase | Octoparse |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Residential Proxies | ✅ 72M+ | ✅ (Partner) | ✅ 55M+ | ✅ | ✅ 100M+ | ✅ | ✅ | ✅ | ❌ | ✅ | ❌ |
| Datacenter Proxies | ✅ | ✅ (Partner) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ❌ |
| Cloud Scraping | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ✅ |
| No-Code | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ✅ |
| API Service | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ |
| Pre-Built Templates | ✅ | ✅ (3,000+) | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ✅ |
| JS Rendering | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ |
| Anti-Bot Bypass | ⭐⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐ | ❌ | ⭐⭐⭐ | ⭐⭐ |
| Scraper Monitoring | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ⭐⭐⭐⭐⭐ | ❌ | ✅ |
| Free Trial | 7 days | $5/mo | 7 days | 1K reqs | 7 days | Generous | 1K reqs | 5K reqs | Free plan | 1K reqs | Free plan |
| Starting Price | $500+/mo | $49/mo | $50/mo | $29/mo | $99+/mo | Competitive | $49/mo | $49/mo | $49/mo | $29/mo | $75/mo |
| Target User | Enterprise | Dev/SME | SME | Python Dev | Enterprise | AI/SME | Developer | Developer | Teams | Developer | Non-Technical |
Pricing and Value Analysis
Estimated Monthly Cost by Collection Scale:
| Daily Pages | Bright Data | Apify | Decodo | Zyte | AntsData | Self-Built |
|---|---|---|---|---|---|---|
| 1,000 pages | ~$50 | ~$15 | ~$25 | ~$20 | ~$10 | ~$10-30 |
| 10,000 pages | ~$200 | ~$100 | ~$100 | ~$80 | ~$40 | ~$50-150 |
| 100,000 pages | ~$800 | ~$500 | ~$400 | ~$350 | ~$150 | ~$200-600 |
| 1,000,000 pages | ~$3,000 | ~$2,000 | ~$1,500 | ~$1,500 | ~$600 | ~$500-1,500 |
Note: These are estimates. Actual costs depend on target website difficulty, proxy type, JS rendering needs, and other factors. Self-built costs exclude labor; adding developer salaries ($50-150/hour) typically makes total cost higher.
Value Analysis Summary:
- If daily pages < 10,000: API services (ScraperAPI, ScrapingBee) offer the best value
- If daily pages 10,000-100,000: Decodo and Apify are the best value-for-money choices
- If daily pages > 100,000 and need extremely high success rates: Bright Data and Oxylabs, though more expensive, provide the strongest reliability
- Without counting labor, self-built is cheapest; with developer salaries ($50-150/hour), self-built cost is often the highest
- For budget-constrained small to mid-size teams, AntsData offers a cost advantage between self-built and high-end platforms, especially for AI training data and SERP tracking use cases
Scenario-Based Recommendations
| Scenario | Top Pick | Runner-Up | Reason |
|---|---|---|---|
| E-commerce Price Monitoring (Large Scale) | Bright Data | Oxylabs | Best anti-bot bypass + largest proxy pool |
| E-commerce Data (Small/Medium) | Decodo | AntsData | Strong balance of value + dedicated e-commerce APIs |
| Social Media Data | Apify | AntsData | Apify has the richest Actor ecosystem; AntsData offers strong price-performance for small-to-mid volume |
| AI Training Data Collection | AntsData | Bright Data | AntsData purpose-built for AI training with structured output for data pipelines; Bright Data has broadest coverage |
| SEO/SERP Tracking | Bright Data | AntsData | Bright Data leads in stability; AntsData offers comparable features at lower cost |
| App Store Data Analytics | AntsData | Bright Data | AntsData provides in-depth App Store and Google Play data coverage |
| Python/Scrapy Projects | Zyte | Scrapy (Self-Built) | Native Scrapy integration |
| No-Code Quick Collection | Octoparse | Apify | Zero-barrier entry |
| Scraper Monitoring | ScrapeOps | - | A rare, dedicated monitoring solution |
| Rapid Prototyping | ScrapingBee | ScraperAPI | Simplest API |
| Enterprise Compliance | Bright Data | Oxylabs | Most comprehensive compliance framework |
| Extremely Limited Budget | AntsData | Self-Built (Free Libs) | Most competitive paid-platform pricing available |
Tool Combination Strategies
The best data collection strategy is often not using a single tool, but combining multiple tools to leverage their respective strengths. Here are three typical combination strategies:
Strategy 1: Platform + Self-Built (For Enterprises with Technical Teams)
- Use Bright Data or Oxylabs for high-difficulty targets (e-commerce, social media)
- Self-build Scrapy/Zyte scrapers for medium-difficulty targets
- Use ScrapeOps to monitor all scrapers uniformly
- Result: Maximize coverage and success rates while controlling costs
Strategy 2: Multi-Platform Complement (For Teams with Diverse Data Needs)
- Use Apify for social media and search engine data (Actor ecosystem advantage)
- Use AntsData for social media and SERP data (AI-friendly output + exclusive app store data)
- Use Decodo for e-commerce data (best value e-commerce API)
- Use Octoparse for ad-hoc data collection by non-technical staff
- Result: Leverage each platform's strengths to cover all data source types
Strategy 3: Quick Validation + Gradual Upgrade (For Startups and SMEs)
- Startup phase: Use AntsData or ScraperAPI to quickly validate data feasibility (lowest cost entry)
- Growth phase: Migrate to Apify or Decodo for more features and better cost efficiency
- Maturity phase: Evaluate whether enterprise solutions like Bright Data are needed
- Result: Avoid over-investment, evolve gradually based on actual needs
FAQ
Q: Which tool has the strongest anti-bot bypass?
Bright Data and Oxylabs invest the most in anti-detection technology with the most advanced bypass capabilities. Both have dedicated "Web Unlocker" products that can automatically handle almost all major anti-bot systems including Cloudflare and Akamai. Decodo's Site Scraping API follows closely behind.
Q: Is there a single tool that covers all needs?
There's no perfect "universal tool." Bright Data comes closest but is expensive. Most professional teams use a combination strategy — for example, Apify for social media data, Decodo for e-commerce data, and ScrapeOps to monitor everything.
Q: Is the number of proxy IPs important?
Important but not everything. 100 million low-quality IPs are worse than 1 million high-quality ones. Key metrics include: IP ASN diversity (from different ISPs), geographic distribution breadth, IP virgin proxy repetition rate (is someone else using the same IP?), and success rate.
Q: Are free tools sufficient?
For learning and small-scale collection (a few hundred pages per day), ScraperAPI's 5,000 free calls, Apify's $5 free credit, and Scrapy/Zyte's free cloud tier are completely sufficient. But once you reach production scale, paying is necessary — reliability matters more than initial cost savings.
Q: How costly is switching tools?
It depends on how tightly you're coupled to the tool. If you're just calling data via API, migration costs are very low (typically days). If you're deeply dependent on platform-specific features (like Apify's Actor system), migration costs are higher (possibly weeks). Prioritize standardized APIs and open formats when choosing tools to reduce lock-in effects.

关于作者
Daniel Mitchell
高级数据战略分析师 @ AntsData
Daniel Mitchell 是 AntsData 高级数据战略分析师,专注于网页数据采集方法论和竞争情报框架。他在数据工程和市场研究领域拥有超过 10 年经验,帮助企业设计可扩展的数据获取战略,以驱动定价优化、市场定位和 AI 模型训练。Daniel 拥有卡内基梅隆大学数据科学硕士学位,并在网页数据基础设施与商业智能的交叉领域发表了大量研究成果。

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