Google Crawler - Revision history

Ed at 17:47, 21 September 2020

2020-09-21T17:47:37Z

Ed at 17:34, 21 September 2020

2020-09-21T17:34:31Z

Ed at 17:20, 20 September 2020

2020-09-20T17:20:00Z

Ed at 17:12, 20 September 2020

2020-09-20T17:12:13Z

Ed at 21:53, 2 October 2019

2019-10-02T21:53:16Z

AnneFreeman at 21:34, 29 May 2019

2019-05-29T21:34:07Z

Ed: /* Selenium Implementation */

2019-05-29T15:54:22Z

Selenium Implementation

AnneFreeman at 18:13, 15 April 2019

2019-04-15T18:13:52Z

AnneFreeman at 18:12, 15 April 2019

2019-04-15T18:12:21Z

LasyaRajan at 19:23, 9 April 2019

2019-04-09T19:23:45Z

@@ Line 1: / Line 1: @@
 {{Project
-|Has project output=
+|Has project output=Tool
 |Has sponsor=McNair Center
 |Has title=Google Crawler

@@ Line 1: / Line 1: @@
 {{Project
 |Has sponsor=McNair Center
 |Has title=Google Crawler

@@ Line 1: / Line 1: @@
 {{Project
 |Has title=Google Crawler
 |Has owner=Anne Freeman,

@@ Line 1: / Line 1: @@
-{{McNair Projects
+{{Project
 |Has title=Google Crawler
 |Has owner=Anne Freeman,

← Older revision		Revision as of 21:53, 2 October 2019
Line 44:		Line 44:
	* urllib3 1.24.1		* urllib3 1.24.1
	* wheel 0.33.1		* 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

← Older revision		Revision as of 21:34, 29 May 2019
Line 27:		Line 27:

	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.		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

@@ Line 18: / Line 18: @@
 Relevant files,  including python script, text files are located in
-   E:\projects\Kauffman Incubator Project\01 Classify entrepreneurship ecosystem organizations\SeleniumCrawler
+   E:\projects\Kauffman Incubator Project\01 Classify entrepreneurship ecosystem organizations\SeleniumScraper
 ==Beautiful Soup Implementation==

@@ Line 1: / Line 1: @@
 {{McNair Projects
-|Has title=Google Crawler
+|Has title=Web Crawler
 |Has owner=Anne Freeman,
 |Has project status=Active
@@ Line 6: / Line 6: @@
 }}
 ==Background==
-We wanted to create a google web crawler that could collect data from web searches specific to individual cities. The searches could be in the format of "incubator" + "city, state". It was modeled off of previous researcher's web crawler which collected information on accelerators. We could not simply modify their web crawler as it used an outdated python module.
+We wanted to create a web crawler that could collect data from google searches specific to individual cities. The searches could be in the format of "incubator" + "city, state". It was modeled off of previous researcher's web crawler which collected information on accelerators. We could not simply modify their web crawler as it used an outdated python module.
 The output from this crawler could be used in several ways:
@@ Line 14: / Line 14: @@
 # The page can be passed over to Amazon's [https://www.mturk.com/ Mechanical Turk] to outsource the task of classifying pages as being incubators.
-==Implementation==
+==Beautiful Soup Implementation==
-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 the resulting page to collect the titles and urls of the results.
+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 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 and csv files are located in
+Relevant files, including python script, text files are located in
   E:\projects\Kauffman Incubator Project\01 Classify entrepreneurship ecosystem organizations\GoogleCrawler