This project demonstrates how to scrape live stock prices from a financial website using Python libraries like requests, BeautifulSoup, and pandas. The scraped data is saved to a CSV file for further analysis.

A web scraper that collects data from three websites (Yahoo Finance, TradingView, and Dogs of the Dow). The data is about top gainers in US stock market.

Task 1 Technologies: Python latest, Scrapy In this task, you need to write a scrapy spider for a website URL: https://www.midsouthshooterssupply.com/dept/reloading/primers Points to keep in mind Make sure you scrape all pages and all items It is possible you could not find values for a few data points, in that case, you shouldn't add the key to the final JSON. If you are scraping a paragraph, make sure new lines must be replaced by '__ '. Multiple paras should be concatenated using '__'. First, scrape the required fields that are listed below: Price in dollars Description Review Delivery Info Title Stock status i.e. in-stock or out-stock. If in-stock then the value would true and for out-stock value should be false. Manufacturer i.e. Remington, Winchester, etc. For this scraper, use rotating proxies from this website http://www.freeproxylists.net/ (only US ) The output should be in the list of dictionaries, finally represented in JSON.

Building a Agentic scraper using Firecrawl, this project shows the step by step implemintation

Stocky is a website-based scraper for stock data, that gets the current price of the stock and some descriptions related to it for the user. The user has to submit the symbol for the stock and if it is in the US market the scraper will return the data.

US Stock option scraper and parser

米国株急騰銘柄分析ツール - Polygon.io APIを使用した急騰株の検出・追跡・分析

A python script that scrapes given twitter accounts and counts how many times a stocks ticker is mentioned in a given time interval

Web scraper written in Java that retreives stock data using Jsoup library

Developed automatic data collection program that fetches live stock price from ’finance.yahoo.com’

Node.js web scraper using cheerio.js to collect all US stock ticker symbols.

A serverless Python project that scrapes stock data like company name, open price, previous close, and market cap from Groww stock pages, then stores it in an Amazon S3 bucket. Scheduled with EventBridge and monitored via CloudWatch for full automation and reliability