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  1. PO
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    <p>This will grab that list of commodities for you (tested on python 2.7). You need to isolate that commodity table then work your way down the rows, reading each row and extracting the data from each column</p> <pre><code>import urllib2 import bs4 # Page with commodities URL = "http://www.moneycontrol.com/commodity/" # Download the page data and create a BeautitulSoup object commodityPage = urllib2.urlopen(URL) commodityPageText = commodityPage.read() commodityPageSoup = bs4.BeautifulSoup(commodityPageText) # Extract the div with the commodities table and find all the table rows commodityTable = commodityPageSoup.find_all("div", "equity com_ne") commodittTableRows = commodityTable[0].find_all("tr") # Trim off the table header row commodittTableRows = commodittTableRows[1:] # Iterate over the table rows and print out the commodity name and price for commodity in commodittTableRows: # Separate all the table columns columns = commodity.find_all("td") # -------------- Get the values from each column # ROW 1: Name and date nameAndDate = columns[0].text nameAndDate = nameAndDate.split('-') name = nameAndDate[0].strip() date = nameAndDate[1].strip() # ROW 2: Price price = float(columns[1].text) # ROW 3: Change change = columns[2].text.replace(',', '') # Remove commas from change value change = float(change) # ROW 4: Percentage change percentageChange = columns[3].text.replace('%', '') # Remove the percentage symbol percentageChange = float(percentageChange) # Print out the data print "%s on %s was %.2f - a change of %.2f (%.2f%%)" % (name, date, price, change, percentageChange) </code></pre> <p>Which gives the results</p> <pre><code>Gold on 5 Oct was 30068.00 - a change of 497.00 (1.68%) Silver on 5 Dec was 50525.00 - a change of 1115.00 (2.26%) Crudeoil on 19 Sep was 6924.00 - a change of 93.00 (1.36%) Naturalgas on 25 Sep was 233.80 - a change of 0.30 (0.13%) Aluminium on 30 Sep was 112.25 - a change of 0.55 (0.49%) Copper on 29 Nov was 459.80 - a change of 3.40 (0.74%) Nickel on 30 Sep was 882.20 - a change of 5.90 (0.67%) Lead on 30 Sep was 131.80 - a change of 0.70 (0.53%) Zinc on 30 Sep was 117.85 - a change of 0.75 (0.64%) Menthaoil on 30 Sep was 871.90 - a change of 1.80 (0.21%) Cotton on 31 Oct was 21350.00 - a change of 160.00 (0.76%) </code></pre>
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    1. USAshok Fernandez
    1. USAshok Fernandez
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    1. CONice. Maybe put `%.2f` instead of just `%f` for the decimal places? (And Separate spelled wrong) I would edit but don't want to mess up your output example.
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      1. USberoe
    2. COThanks, I whacked this together pretty quickly hence the mistakes. Edited answer with those changes.
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