Global crawler website recommendation: How to choose efficient tools?

Web scraping technologies are widely applied in data collection and market analysis. Below is a categorized list of globally representative websites and tools, covering data sources, technical support, and application scenarios:

Open Datasets & Public Information Platforms

Common Crawl

The world's largest open web dataset, containing raw HTML content from billions of web pages. Ideal for training AI models or analyzing web trends.

Kaggle Datasets

Over 50,000 public datasets spanning finance, healthcare, social media, etc., available in CSV/JSON formats. Suitable for rapid script validation or data cleaning practice.

World Bank Open Data (data.worldbank.org)

Authoritative global macroeconomic and demographic data with robust API integration for automated workflows.

Developer Tools & Frameworks

Scrapy Documentation (scrapy.org)

A leading Python-based scraping framework supporting asynchronous processing and middleware extensions for high-concurrency systems.

Selenium HQ (selenium.dev)

Cross-platform browser automation tool for JavaScript-rendered pages, simulating clicks and form submissions.

Beautiful Soup Resources

Tutorials and case studies for parsing complex HTML/XML structures, often paired with the Requests library.

 Dynamic Data & API Services

Apify (apify.com)

No-code scraping platform for e-commerce (e.g., Amazon) and social media (e.g., Twitter), featuring anti-anti-scraping mechanisms.

RapidAPI Hub (rapidapi.com)

Aggregates thousands of commercial APIs (weather, flights, stock prices) via subscription, reducing custom scraping costs.

Vertical-Specific Data Sources

Crunchbase (crunchbase.com)

Startup database with funding records and team details for competitive analysis or investment decisions.

IMDb Datasets (imdb.com/interfaces)

Structured film industry data (actors, ratings, box office) available for bulk downloads.

Tech Communities & Learning Resources

GitHub Scraping Repositories

Search keywords like "web-scraping" to find open-source projects (news aggregators, price trackers) for customization.

Stack Overflow Q&A

Practical solutions to challenges like IP bans, CAPTCHA bypass, and rate limiting.

Key Considerations for Web Scraping

Use proxy IP services (eg, static ISP proxies or rotating residential proxies) to avoid IP blocks.

Adhere to website robots.txt policies and data usage guidelines.

For high-frequency tasks, consider distributed architectures and load balancing.

If real-time updates or deeper insights are needed, enabling the 【Web Search】 feature is recommended.

Conclusion

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