How to do web scraping project in Python?

I want to do web scraping project to extract information about a company from its webpage.

I know there is already the module in python to scrape but I don't know how to scrape for the company name, address, contact info. Can anyone give me some sample codes or steps to implement?

If you are trying to scrape from a website, I suggest to use either scrapy or selenium. Both of them are used to crawl websites, but they are quite different. The first one uses requests and the second uses webdriver (selenium is actually an implementation of that).

You can look into both tools to see what suits your needs the best.

Does Amazon allow web scraping?

I would like to scrape data from a single page at .

I would like to save it to a database and access data from it later via code, but I would like to know whether I am allowed to save that data, before risking a ban. No they don't. You are not allowed to save any of the Amazon data.

Scraping would mean using a tool to run through their site pulling whatever information you want. Some people could use those scraped results to perform hacks.

No they do not. It is illegal to "steal" Amazon's information, and if someone has violated the law by doing so, Amazon has the ability to investigate and possibly prosecute.

Your question says you are trying to scrape Amazon data from public sites -- and in this case that is prohibited. Public URLs point to publicly available data. When an Amazon Web Services site asks for "secret sauce", it means there is only public information out there and you are getting only that via a secret URL that is only for a limited audience of users that were invited in by some special privilege. This audience can, and sometimes is, expanded but that is on a per project basis. If your code gets banned, it's not you, it's the company that is responsible for whatever you tried to do in the first place.

Also, be careful when working on scraping sites because sometimes you need to take responsibility for data if it goes wrong. Scraping sites without making the source code available isn't good -- the code might not be up to date, have security holes, or cause data problems when you are updating your data or scraping new data. If you don't make it available you might get sued when it turns out there is an error or the data no longer exists.

It's technically a crime to scrape. That said, Amazon does allow you to scrape their own site, so I would assume that they also have the means to keep a log of anything non-public to which you send requests for their systems.

Is BeautifulSoup good for web scraping?

Scraping the data from this webpage is the perfect opportunity to use BeautifulSoup.

Does it work for this purpose or it is only suitable for parsing html pages? BeautifulSoup is pretty versatile. It can parse HTML, XML, RSS, PDF, etc.

There are two things that will limit you: It won't parse Javascript, even if it's in an HTML file. You'll have to use something else like Selenium.

It won't work with non-HTML files (like zip files or rar files). The following code worked for me on linux with a local copy of python 2.7.1 and beautifulsoup 4.0:
Import urllib2, cookielib. From bs4 import BeautifulSoup. Url = "". Response = urllib2.urlopen(url) html = response.read() soup = BeautifulSoup(html). Print soup.prettify() And this one works on windows with python 3.6.2 and beautifulsoup 4.request, cookielib

Response = urllib.urlopen(url) html = response.read() soup = BeautifulSoup(html)