heise+ | Building a Reddit crawler for stocks in Python: Here's how it's done step by step
A new Python-based web crawler is being developed to analyze discussions within the r/wallstreetbets subreddit, a popular online forum for stock market speculation. This project enables tracking of which stocks are trending and being actively discussed by members, providing insights into market sentiment. The tool is built using Python and is designed to automatically extract and analyze data from Reddit, offering a glimpse into the stocks favored by the community. The crawler works by systematically navigating and scraping data from the r/wallstreetbets forum. It identifies the stocks mentioned in posts and comments, and then tracks and compiles them. This approach allows for the monitoring of real-time trends and the identification of popular stocks. This development will likely be useful for those interested in following stock market discussions. It can provide valuable information on the stocks that are garnering attention on Reddit and can also offer insights into investment strategies and market sentiment. The use of web crawlers for financial analysis is becoming increasingly common, this approach potentially could add to the growing tools and techniques of AI-driven data analysis of financial markets.
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