Google Scholar Crawler - Revision history

Ed at 17:47, 21 September 2020

2020-09-21T17:47:37Z

Ed at 17:34, 21 September 2020

2020-09-21T17:34:32Z

Ed at 17:20, 20 September 2020

2020-09-20T17:20:00Z

Ed at 17:12, 20 September 2020

2020-09-20T17:12:13Z

ChristyW: /* scholarcrawl.py */

2017-12-12T18:25:28Z

scholarcrawl.py

ChristyW at 16:44, 8 December 2017

2017-12-08T16:44:53Z

ChristyW at 22:43, 28 November 2017

2017-11-28T22:43:43Z

ChristyW at 22:37, 28 November 2017

2017-11-28T22:37:00Z

ChristyW at 22:28, 28 November 2017

2017-11-28T22:28:01Z

ChristyW at 22:27, 28 November 2017

2017-11-28T22:27:10Z

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

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

@@ Line 1: / Line 1: @@
 {{Project
 |Has title=Google Scholar Crawler
 |Has owner=Christy Warden,

@@ Line 1: / Line 1: @@
-{{McNair Projects
+{{Project
 |Has title=Google Scholar Crawler
 |Has owner=Christy Warden,

@@ Line 95: / Line 95: @@
 ===scholarcrawl.py===
 ====Overview====
-This code is the work-in-progress replacement for downloadPDFs.py. The issue with downloadPDFs was that its impossible to discover the sweet spot of not being discovered by Google, since you cannot find any info online about how many clicks/ how fast gets you marked as a robot. scholarcrawl.py tries to work around the issue by catching every time Google stops us, and waiting 24 hours before trying again, leaving off on the same page you were stopped on previously. It is being tested as of Friday Dec 8, 2017.
+This code is the work-in-progress replacement for downloadPDFs.py. The issue with downloadPDFs was that its impossible to discover the sweet spot of not being discovered by Google, since you cannot find any info online about how many clicks/ how fast gets you marked as a robot. scholarcrawl.py tries to work around the issue by catching every time Google stops us, and waiting 24 hours before trying again, leaving off on the same page you were stopped on previously. It is being tested as of Friday Dec 8, 2017. It is continuing to run as expected as of Dec 12, 2017 and has searched through 34 pages.
 ====How to Use====

@@ Line 68: / Line 68: @@
 ===downloadPDFs.py===
 ====Overview====
-This code exists in E:\McNair\Software\Google_Scholar_Crawler\downloadPDFs.py.
+downloadPDFs.py is currently being replaced by scholarcrawl.py, located in the same directory. This code exists in E:\McNair\Software\Google_Scholar_Crawler\downloadPDFs.py.
 This program takes in a key term to search and a number of pages to search on. It seeks information about the papers in this search. It depends on Selenium due to Google Scholar's blocking of traditional crawling. It runs somewhat slowly to prevent getting blocked by the website.
@@ Line 88: / Line 88: @@
 ) Trying to make it so that if a link to the PDF cannot be found directly on Google, the link to the journal will be saved so that someone can go look it up and try to download it later.
 ====Notes====
 All BibTeXs for the papers will be saved, but not all PDFs are available online so not all of the papers viewed will have a link.

← Older revision		Revision as of 22:43, 28 November 2017
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	Replace "your query" with the search term you want (like "patent thickets", making sure to include quotes around the term). Replace "your output directory" with the output directory you want these files to go to. Still using my example above, I would type "E:\McNair\Projects\Patent_Thickets\My_Crawl", making sure to include the quotes around the directory. Finally, replace "your num pages" with the number of pages you want to search. Click the play button in the top center of the screen.		Replace "your query" with the search term you want (like "patent thickets", making sure to include quotes around the term). Replace "your output directory" with the output directory you want these files to go to. Still using my example above, I would type "E:\McNair\Projects\Patent_Thickets\My_Crawl", making sure to include the quotes around the directory. Finally, replace "your num pages" with the number of pages you want to search. Click the play button in the top center of the screen.
		+
		+	====What you'll get back====
		+	After the program is done running, go back to the folder you created to see the outputs. First, in your BibTeX folder, you will see a series of files named by the BibTeX keys of papers. Each of these is a text file containing the BibTeX for the paper. In your outer folder, you will have a files called "Query_your query_pdfTable7.txt" where "your query" is your search term and 7 can be replaced with any number. Each of these files is a text file of BibTeX keys in the left column and a link to the PDF for that paper in the other column.
		+
		+	====In Progress====
		+	1) Trying to find the sweet spot where we move as fast as possible without being DISCOVERED BY GOOGLE.
		+
		+	2) Trying to make it so that if a link to the PDF cannot be found directly on Google, the link to the journal will be saved so that someone can go look it up and try to download it later.
		+
		+	====Notes====
		+	All BibTeXs for the papers will be saved, but not all PDFs are available online so not all of the papers viewed will have a link.

← Older revision		Revision as of 22:37, 28 November 2017
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−	=Code Written for McNair=	+	==Code Written for McNair==
		+
		+	===downloadPDFs.py===
		+	====Overview====
		+	This code exists in E:\McNair\Software\Google_Scholar_Crawler\downloadPDFs.py.
		+
		+	This program takes in a key term to search and a number of pages to search on. It seeks information about the papers in this search. It depends on Selenium due to Google Scholar's blocking of traditional crawling. It runs somewhat slowly to prevent getting blocked by the website.
		+
		+	====How to Use====
		+	Before you run the program, you should build a file directory that you want all the results to go in. Inside of this directory, you should create a folder called "BibTeX." For example, I could make a folder in E:\McNair\Projects\Patent_Thickets called "My_Crawl." Inside of My_Crawl I should make sure I have a "BibTeX" folder. You should also choose a search terms and how many pages you want to search.
		+
		+	Open the program downloadPDFs.py in Komodo. At the very end of the program, type:
		+
		+	''main(your query, your output directory, your num pages)''
		+
		+	Replace "your query" with the search term you want (like "patent thickets", making sure to include quotes around the term). Replace "your output directory" with the output directory you want these files to go to. Still using my example above, I would type "E:\McNair\Projects\Patent_Thickets\My_Crawl", making sure to include the quotes around the directory. Finally, replace "your num pages" with the number of pages you want to search. Click the play button in the top center of the screen.

← Older revision		Revision as of 22:28, 28 November 2017
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	===Scholarly===		===Scholarly===
	Another parser of potential interest is [https://github.com/OrganicIrradiation/scholarly scholarly]. However, it produces less information than the scholar parser does.		Another parser of potential interest is [https://github.com/OrganicIrradiation/scholarly scholarly]. However, it produces less information than the scholar parser does.
		+
		+
		+
		+	=Code Written for McNair=

@@ Line 1: / Line 1: @@
 {{McNair Projects
 |Has title=Google Scholar Crawler
-|Has owner=Harsh Upadhyay,
+|Has owner=Christy Warden,
-|Has start date=November 10, 2016
+|Has start date=November 10, 2017
 |Has keywords=Google, Scholar,Tool
-|Has project status=Tabled
+|Has project status=Active
 }}
 ==Overview==