How can I scrape stock prices from Robinhood.com using Python?

Anne Santhosh · 2024-12-20T10:32:25+00:00

Scraping stock prices from Robinhood.com using Python can provide valuable insights into current market trends, prices, and stock details. Python’s requests library can handle fetching the page content, and BeautifulSoup can parse the HTML to extract data like stock names, prices, and percent changes. Below is an example script for scraping basic stock information from Robinhood.import requestsfrom bs4 import BeautifulSoup# Target URL for Robinhood stocksurl "https://robinhood.com/collections/popular"headers { "User-Agent": "Mozilla/5.0"}response requests.get(url, headersheaders)if response.status_code 200: soup BeautifulSoup(response.content, "html.parser") stocks soup.find_all("div", class_"stock-card") for stock in stocks: name stock.find("h3").text.strip() if stock.find("h3") else "Name not available" price stock.find("span", class_"price").text.strip() if stock.find("span", class_"price") else "Price not available" change stock.find("span", class_"change").text.strip() if stock.find("span", class_"change") else "Change not available" print(f"Name: {name}, Price: {price}, Change: {change}")else: print("Failed to fetch Robinhood page.")This script fetches the Robinhood stock page and extracts the stock name, price, and percent change. To handle pagination or dynamic loading of additional stocks, Selenium can be integrated. Adding random delays between requests ensures that the scraper avoids being flagged by anti-bot mechanisms.

General Web Scraping

How can I scrape stock prices from Robinhood.com using Python?

Posted by Anne Santhosh on 12/20/2024 at 10:32 am
Scraping stock prices from Robinhood.com using Python can provide valuable insights into current market trends, prices, and stock details. Python’s requests library can handle fetching the page content, and BeautifulSoup can parse the HTML to extract data like stock names, prices, and percent changes. Below is an example script for scraping basic stock information from Robinhood.
```
import requests
from bs4 import BeautifulSoup
# Target URL for Robinhood stocks
url = "https://robinhood.com/collections/popular"
headers = {
    "User-Agent": "Mozilla/5.0"
}
response = requests.get(url, headers=headers)
if response.status_code == 200:
    soup = BeautifulSoup(response.content, "html.parser")
    stocks = soup.find_all("div", class_="stock-card")
    for stock in stocks:
        name = stock.find("h3").text.strip() if stock.find("h3") else "Name not available"
        price = stock.find("span", class_="price").text.strip() if stock.find("span", class_="price") else "Price not available"
        change = stock.find("span", class_="change").text.strip() if stock.find("span", class_="change") else "Change not available"
        print(f"Name: {name}, Price: {price}, Change: {change}")
else:
    print("Failed to fetch Robinhood page.")
```
This script fetches the Robinhood stock page and extracts the stock name, price, and percent change. To handle pagination or dynamic loading of additional stocks, Selenium can be integrated. Adding random delays between requests ensures that the scraper avoids being flagged by anti-bot mechanisms.
Anne Santhosh replied 2 days, 14 hours ago 1 Member · 0 Replies
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