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Mastering Scraped Data Management (AI Tips Inside)
- The article explores the automatic data processing and export of scraped data from web pages. Web Scrapers need to process the raw data for export so your team or company can actually extract value from it. Most popular methods for both manual and automatic data processing like using custom regular expressions and automatic data processing with AI. AI-based tools (LLMs) are revolutionizing data processing. The article covers ways to collect raw data via web scraping and then pass it to AI for data cleaning. Classic methods for storing scraped data like CSV, JSON, or XML format and most effective methods for exporting data with specialized formats like Protobuf, Parquet, AVRO, and ORC were discussed. Exporting data to online SQL or NoSQL databases and cloud storage providers like AWS S3 or Google Cloud Storage were also included. The article also covers webhooks and how webhooks send data directly to external services in real-time. Lastly, the article explores how top-tier data providers like Bright Data process and handle scraped info. Compliance with GDPR and CCPA for scraped data were also discussed.
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