In your stock data crawling project, how did you decide on the data sources to use, and what criteria did you apply to ensure their reliability?

"The interviewer asked about how I selected data for my stock data crawling project and the criteria I to ensure their reliability. My understanding is that choosing reliable data sources is crucial for maintaining the integrity and effectiveness of the collected data.

First, I conducted a comprehensive analysis of potential data sources, focusing primarily on well-known financial platforms like East Money and iAsk Finance. Second, I considered the frequency of data updates; platforms that provided real-time or daily updates were prioritized, as they offer the most relevant information for stock analysis. Third, I evaluated the credibility of the sources based on their industry reputation and user reviews, ensuring that they had a track record of delivering accurate financial data. Finally, I also implemented cross-verification techniques, comparing data from multiple sources to identify discrepancies.

In summary:
1. **Analysis of Potential Sources:** Identified reputable financial platforms.
2. **Update Frequency:** Prioritized sources with real-time or daily data.
3. **Credibility Assessment:** Evaluated based on industry reputation.
4. **Cross-Verification:** Used multiple sources for data accuracy.

By following these steps, I ensured that the data collected was reliable and useful for in-depth stock analysis, ultimately supporting informed decision-making for researchers."