Modern Web Data Extraction: Techniques, Tools, Legal and Ethical Considerations
summary
Clear claims and concrete examples: which site yielded what fields, how many records, and how long the crawl takes; which exact tools win (BeautifulSoup + requests for static pages, Playwright or Selenium for dynamic), when proxies or CAPTCHAs were required, and which APIs or robots.txt rules blocked or allowed access. Note documented legal outcomes, specific GDPR or TOS restrictions, measured crawl delay used, and whether the pipeline (parsing, deduping, storage) actually ran reliably at scale.
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chapters (22)
- 0:00Modern web data extraction intro
- 1:06Web scraping definitions
- 3:12Why extract web data
- 4:35Legal and ethical scraping
- 6:25Scraping policies and polite crawling
- 7:29Robots.txt role
- 10:00Terms of service impact
- 11:26Crawl delay best practices
- 13:59Sitemaps for crawlers
- 16:06Server load considerations
- 16:28GDPR compliance
- 18:34Scraping prerequisites
- 20:19HTTP errors troubleshooting
- 21:02Avoiding detection challenges
- 23:11Scaling scraping reliability
- 24:16Toolset for static/dynamic scraping
- 26:45Choosing scraping tools
- 28:11Beautiful Soup & Scrapy
- 29:35Selenium & Playwright
- 31:24Scraping PI data sponsors
- 32:30Dynamic scraping with Selenium
- 33:34Workflow and ethical scraping
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