What are the best practices for scraping financial data from news or stock site?

[Gojko Diomedes]

If the data is only available on the website, I rotate proxies and user agents to avoid triggering blocks on high-traffic financial sites.

[Headley Corrie]

I automate pagination and set delays to avoid hitting rate limits, which is especially important on sites that monitor frequent requests.

[Elea Aelita]

Storing scraped data with timestamps helps track changes and allows me to create a historical dataset for analysis.

[Jaana Lorn]

For news data, I prioritize only the key fields, like headlines and timestamps, to keep requests lightweight and avoid bans.

[Iraida Anicetus]

Many financial sites offer RSS feeds with headline summaries. Parsing these feeds reduces the need to scrape individual pages directly.

[Gallus Maximilian]

Text parsing libraries like spaCy can extract financial terms and keywords, making it easier to analyze news sentiment on stocks.

[Zusman Mimmi]

I also monitor cookies and tokens closely, as financial sites frequently change these to prevent continuous access.