Scrape contact information from a website using Python and Selenium

Information about the specific site including a video walkthrough of the data that needs to be scraped is available at [login to view URL] The two sample output files can be downloaded here: [login to view URL] Steps: > Login to the site. > Click "Saved" from the navigation menu to pull up saved searches. > Click the company name button to select searches saved for the entire company. > Click each of 4 predetermined search links. Not all search links need to be scraped. But a predetermined list of them do need to be scraped. > Click the gear icon and select the maximum results. > Click each of the agency names from the list and view the agency profile. > Scrape agency information into a CSV file. Scraped data should include agency name, address, city, state, zip, and website url. > For each agency contact, scrape the available data and enter into a CSV. Scraped data should Include agency name, contact name, contact title, contact email, contact phone. The deadline for completion is 7/16/2017 23:00 UTC. TECHNICAL REQUIREMENTS The scrape must be written in Python. The scrape MUST USE SELENIUM with xpath selectors to grab visible content produced by the AJAX application. Two CSV output files are expected. One with agency information and one with contact information. The two files must be easily linked back together. For example, create an ID for each agency scraped and include the ID field in both CSV files. You will be providing a script not just data.