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Scraping

Scraping is an automated data collection technique from one or more websites, by extracting their structured content (prices, product sheets, ads, contacts…).
It can be used to feed an internal tool, a database, or an AI system. Its use must, however, comply with the websites' terms of use and current regulations.

Related Services

Data Engineering

Related Terms

Data Engineering ETL (Extract, Transform, Load) API

Scraping in practice

Typical Use Cases

  • Competitive intelligence (prices, offers, content).
  • Building data sets to train an AI model.
  • Feeding comparators or aggregators.
  • Extraction of structured public information.

Tools and Techniques

  • Simple HTTP requests for static websites (Pythonrequests, axios).
  • Headless browser for JavaScript-heavy (Playwright, Puppeteer).
  • Anti-detection - IP rotation, user-agents, captchas.
  • Storage and deduplication of results.

Caveats

  • Respect the Terms of Service and therobots.txtof websites.
  • GDPR if personal data - rare in public scraping, but to be checked.
  • Avoid overloading target servers (ethical rate limiting).
  • Maintenance - sites evolve, selectors break regularly.

How Galadrim can support you

See our offering Data Engineering.

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