How do I scrape a job post from Indeed in Python?

How do I scrape my resume from Indeed?

I know it's there.

How do I pull it into my system?

I want to create a program that can automatically retrieve my resume from the Indeed job site and insert it into my database (via MySQL). You could use a simple python script, which uses mechanize and the cookiejar module, to get all the info you need from the job page, and save it into a text file. You then need to extract the data from the text file into a db.

How do I scrape a job post from Indeed in Python?

So I am trying to scrape the job post from indeed.

Com with Python and BeautifulSoup. I have the following code:
From bs4 import BeautifulSoup. Import urllib2. Url = '. Page = urllib2.urlopen(url) soup = BeautifulSoup(page). Print soup.prettify() But when I run it, I get the following error: Traceback (most recent call last): File "C:/Users/Administrator/Documents/Programming/Python Projects/Google.py", line 17, in page = urllib2.urlopen(url) File "C:Python27liburllib2.py", line 126, in urlopen return opener.open(url, data, timeout) File "C:Python27liburllib2.py", line 391, in open protocol = req.gettype() File "C:Python27liburllib2.py", line 368, in gettype raise ValueError("unknown protocol: %s" % self.class.name)
ValueError: unknown protocol: HTTP. Can someone help me figure out what is wrong? I was able to get through this website in python using selenium but I'm having issues with scraping a job post. Thanks. First, you need to figure out the format of the HTML returned from that URL. I'm not familiar with the particular HTML that it returns, but I did find a related question: Scraping data from an html website using Python And from that related question, I can see two issues that you'll need to address: The page you're scraping returns a meta refresh tag as the first tag in the document. This will cause your parser to get confused, and your BeautifulSoup will likely return a list instead of a tree. You can tell that the first tag is a meta refresh tag by looking at the class name.

Is Python good for data scraping?

I am currently working on a project for which I need to do some data scraping.

Now I am trying to decide what language would better suited for this. In the past I have used PHP and Python in combination with the following libraries: HtmlAgilityPack. CssSelect. BeautifullSoup. I want to know if Python is better for this, as I read that it is more powerful in handling large amounts of data. I am very new to this so I am not sure if I have made a good choice and I would really appreciate if someone could help me out. If you're talking about parsing a site that's all going to happen on the server side (so you don't even need to send any data across the wire). You could use PHP or Python for that. PHP has a simpler language and makes it easier to integrate with your existing tools and libraries. The language is also less strict and has an easier time with "incomplete" data.

However, PHP is not suited for large-scale parsing, particularly if the data has to be cached (as it will be with many sites). In addition, you'll likely want to use a language that can call into your server-side code, which is something that PHP does not support.

Python on the other hand, being a general purpose programming language is not tied to any specific web framework and can easily use whatever database backend you choose. For large-scale scraping, you'll want to look at the Scrapy framework.

Does Indeed allow web scraping?

If you want to access content on a website that is not in your control, using a browser extension or a web scraping tool might be the way to go.

In the same vein, If you want to access content on a website that is in your control, using a browser extension or a web scraping tool might be the way to go. In the same vein, I'm looking for recommendations for a web scraper that is easy to use and will be able to scrape all of the elements that I need to.

Yes, . However, it is by no means a trivial task. Here's a list of web scraping tools I use daily:

Scrapinghub - free unlimited web scrapes with powerful web crawling features. Scrapy - popular web scraping framework in python. Selenium - headless browser automation. Selenium IDE - IDE to record and playback selenium tests. Also, here's a list of links that can help you get started on web scraping: Automating the boring stuff. Web Scraping - Beginner's Guide. Web Scraping - Advanced Guide.