Changes

{{Project|Has project output=Tool|Has sponsor=McNair ProjectsCenter

The output from this crawler performs searches using google could be used in several ways:# The URLs determined to be incubator websites can be input for the [[Listing Page Classifier]] that takes an incubator website URL and collects identifies which page contains the client company listing.# The title and url text can be analyzed using n-grams to look for resultskeywords in order to classify the URL as an incubator. Searches are This strategy is discussed in [[Geocoding Inventor Locations (Tool)]].# Key elements of a page's HTML can be feed into an adapted version of the [[Demo Day Page Google Classifier]] to identify demo day webpages that contain a list of cohort companies.# The page can be passed over to Amazon's [https://www.mturk.com/ Mechanical Turk] to outsource the format task of "incubator" + "city, state"classifying pages as being incubators.

==Selenium Implementation==The selenium implementation of the crawler requires a downloaded chrome driver. The crawler opens the text file containing a list of locations in the format "city, state", with each entry separated by a newline. It appends the google search query domain "https://www.google.com/search?q=" to the front of the key term "incubator" and appropriately attaches the city and state name, using google escape characters for commas and spaces. Then, using beautifulsoup, the script opens each of the generated urls and parses crawler uses the resulting page chromedriver browser to collect access the titles url and urls of parse the resultsfor each location. The titles and urls are stored in a csv file in the following format* first row: city, state* second row: titles It's default is to parse 10 pages of results* third row: urls , meaning that approximately 100 lines of results* fourth row: blankThis pattern repeats data are collected for each city, state querylocation.

Relevant files, including python script, text files are located in E:\projects\Kauffman Incubator Project\01 Classify entrepreneurship ecosystem organizations\SeleniumScraper ==Beautiful Soup Implementation==When we created the web crawler, our first implementation used beautiful soup to directly "request" the url. The crawler took the same input file (city, state on each line, separated by newlines) and csv formatted queries in the same manner. Then, using beautifulsoup, the script opens each of the generated urls and parses the resulting page to collect the titles and urls of the results. The data collected is stored in a tab separated text file with each row containing city, state, title of result, url Relevant files, including python script, text files are located in E:\projects\Kauffman Incubator Project\01 Classify entrepreneurship ecosystem organizations\GoogleCrawler  This crawler was frequently blocked, as directly performed queries to google and parsed the results with beautiful soup. Additionally, this implementation would only collect eight results for each location. To prevent the crawler from being blocked and collect more results, we decided to switch and use selenium. == Things to note/What needs work ==The scraper coded using beautifulSoup does not work, it is frequently blocked by google. The scraper coded using Selenium pushes in the URL to google rather than typing in the search term and hitting enter. The Selenium script also does not collect results from multiple pages, I believe it collects results only from the first page at the moment.  == How to Run == The scripts incubator_scrape_data.py, and incubator_selenium_scrape.py were coded on a Mac in a virtualenv using python 3.6.5 The following packages were loaded into the environment for the Selenium Script:* numpy 1.16.2 * pandas 0.24.2 * pip 19.1.1 * python-dateutil 2.8.0 * pytz 2019.1 * selenium 3.141.0* setuptools 41.0.0 * six 1.12.0 * urllib3 1.24.1 * wheel 0.33.1 ==Five Cities== We retrieved the first 10 pages of results for each city in our 'five' cities. These included:*Washington, DC and surrounds:**Arlington VA**Alexandria VA**Crystal City VA**Fairfax VA**Washington DC**Springfield MD**Bethesda MD**Gaithersburg MD**Rockville MD**Frederick MD*Burlington VT*Boulder, CO and select other CO cities:**Boulder CO**Colorado Springs CO**Fort Collins CO*The Twin Cities and adjacent city:**St. Paul MN**Minneapolis MN**Bloomington MN*Austin TX