ProxiesAPIGuides

#finance

2 guides

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 Currency Exchange Rates (USD/EUR/INR) into a Daily Dataset with Python + ProxiesAPI
Build a daily FX dataset (USD/EUR/INR) by scraping a public rates table into a clean time series CSV, with basic validation, retries/timeouts, and a ProxiesAPI-ready fetch layer. Includes a screenshot of the source page.