Is data scraping profitable?
I am an undergraduate student in computer science, learning web scraping and the relevant technologies (Python/Django). I was so excited, as that was exactly what I thought I would make and that I had a good idea of how to make more. What should I be doing now to make more money? Is there any particular area I should be focusing on?
I haven't found anything useful from searching, as there are so many topics on this topic. I really appreciate all of the help, whether its for advice, help with suggestions or constructive criticism.
If you're building a website, you should consider having a monetize page on your site, where you mention your goal of "earning money". Your customers can use the site, but you have an option to turn on ads, such as google ads. There are a couple ways to do this, either have a pay-per-click model or have other sites monetize for you. The only caveat is that your ads might have to be related to your site's content, such as keywords in your content, a keyword in the image src etc.
A good link to read about making money from websites is "Earning Money From Your Website". The most profitable way to make money from scraping is through affiliate marketing. You can write articles about the products you scrape, and get commission every time someone purchases from your affiliate link. That is if your website or blog gets traffic in the first place.
How to do price scraping?
Hi!
I am a beginner in Python and I need to scrape prices from product pages. I have the following code: import re. From bs4 import BeautifulSoup. Import requests. From csv import writer. Url = "". R = requests.get(url) soup = BeautifulSoup(r.text, 'lxml') # print soup.prettify() prices = soup.writer(open('out.csv', 'wb'))
Writer.writerow(data) I get the following error: Traceback (most recent call last): File "C:/Users/me/Desktop/prices.py", line 22, in
How do you scrape a website price in python?
I have a website which I am trying to scrape the prices of the items in a webpage.
I have tried this code below, but it is not working. From urllib.request import urlopen from bs4 import BeautifulSoup. Import csv. Url = "". Html = urlopen(url). Soup = BeautifulSoup(html, 'lxml'). Prices = soup.append(price.text)
F = open('products.csv', 'w') writer = csv.writer(f) writer.close() BeautifulSoup is for parsing HTML. It won't be able to give you what you want because the HTML for Amazon's product pages is not the same as for their other pages.
You can get the price using Javascript and using the request module. You'll need to run this code in a web browser.
Import requests. R = requests.get(url) soup = BeautifulSoup(r.content, 'lxml') for a in soup.findall('a'): price = a.get('data-price') print(price). The data-price attribute is set on the link element containing the price. If you don't want to use Javascript to get the price, you could get all the links containing data-price and then scrape the href attribute from those links.
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