Data Scraping: The Efficient Harvester of the Internet

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Data scraping is an automated tool that transforms massive, unstructured online information into structured data you can use. It provides a decision-making basis for market analysis, competitor research, and price monitoring.

Steps of Data Scraping:

1. Access: The program simulates a browser to open web pages.

2. Parsing: Analyze the structure of the webpage code to locate target data.

3. Extraction: Capture specific content (such as text, prices, links).

4. Storage: Neatly save the data into spreadsheets or databases.

Data Scraping Relies on IP Proxies – to maintain scraping stability and bypass access restrictions.

It primarily addresses two core issues:

1. IP Blocking

   • Cause: Websites can easily detect high-frequency visits from the same IP address and identify them as malicious attacks or crawlers.

   • Solution: Use a proxy pool (a set of different IP addresses) to rotate IPs after each request or multiple requests, making the visits appear to come from different ordinary users worldwide, thus avoiding being blocked.

2. Accessing Geographically Restricted Content

   • Cause: Some website content is restricted to specific countries or regions due to copyright or regulatory reasons.

   • Solution: Use proxy IPs located in the target region (e.g., U.S. proxy, Japanese proxy) to "unlock" and scrape such geographically restricted content.

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