#stocks
5 guides
Scrape Live Stock Data from Yahoo Finance
Show how to pull live quote fields, daily change, volume, and market-cap data from Yahoo Finance quote pages into a clean CSV.
Scrape Stock Prices and Financial Data with Python (Step-by-Step)
Build a daily stock-price dataset from Stooq (a green-list friendly source): fetch symbols, download historical OHLCV CSVs, handle retries/timeouts, and export clean CSV/SQLite—using ProxiesAPI in the network layer.
Scrape Live Stock Data from Yahoo Finance with Python (Quotes + Key Stats)
A resilient Yahoo Finance scraper in Python: fetch quote pages via ProxiesAPI, extract live-ish quote fields + key stats from embedded JSON, handle retries, and export to CSV.
Scrape Yahoo Finance Top Gainers/Losers Screener with ProxiesAPI (CSV Export)
Scrape Yahoo Finance movers tables (gainers + losers), extract tickers, prices, % change, and volume using stable data-testid anchors, then export to CSV. Includes selector rationale and a screenshot.
Scrape Stock Prices and Financial Data with Python (Yahoo Finance) + ProxiesAPI
Build a daily stock-price dataset from Yahoo Finance: quote pages → parsed fields → CSV/SQLite, with retries, proxy rotation, and polite pacing.