How do you scrape websites that use services like Brassring (e.g., GE Careers)? Also, how do you use the scraping to navigate to separate pages?

I came to a similar problem when I was creating my own program to search for jobs. One of the sites, Monster, changed their front-end code, and made it much more difficult for me to parse information from data gathered using Requests (I parsed with BeautifulSoup). I ended up having to scrap the project and start from scratch. Here's when I found Selenium( http://selenium-python.readthedocs.org/ )It uses your web browser, Firefox or Chrome to go to a site: from selenium import webdriver from selenium.webdriver.common.keys import Keys driver = webdriver.Firefox() driver.get("http://www.ge.com/") ... or you can run it headless (no browser visuals) with virtualization using xvfb or with phantom.js. driver = webdriver.PhantomJS() You can program Selenium to click on various elements to navigate yourself to where you want to be, and there are functions that let you scrape data. Here's a primer you can use that will let you hit the ground running:https://automatetheboringstuff.com/chapter11/ Likewise, you can also treat it similarly the way you would with a Requests module and just ask for the link (at least with the GE website).For example: driver = webdriver.Firefox() driver.get('http://www.ge.com/careers/opportunities?keyword=&country=United+States&state=California&func=Asset+Management&business=TG_SEARCH_ALL&experience_level=Co-Op%2FIntern') Now, Selenium isn't perfect. It uses a lot of resources on your computer. If you're doing a massive project, this might not be the best module. However, this is something I definitely recommend you check out as a possible alternative solution to your problem.If you're interested to see how I've used Selenium with http://Monster.com, http://SimplyHired.com, and http://Indeed.com, here's my github: https://github.com/michaelverano/AutomatedTools/tree/master/searchJobs2 . As a warning: I don't see myself as a computer programmer (yet), so don't expect the best most efficient code., but perhaps it can give you an idea of how to approach your problem.Good luck!

Web scraping can retrieve both static and dynamic web pages that can help in the long run. There are numerous scraping tools available online that provide excellent services and among them one of the most popular ones is Easy Data Feed. Powered by ShoppingCartElit, the Easy Data Feed is a data extraction software that is designed to download quickly inventory, pricing and product information into a usable spreadsheet from your drop ship supplier’s online portal without relying on the drop shipper. It has been specially built for online retailers who are dissatisfied with their drop ship supplier's digital data for inventory, pricing and even universal product information. Disclosure: I am a specialist of ecommerce platform for businesses.