web scraping - Using tor and python to scrape Google Scholar -


I am working on a project that has been cited in the journal article how to analyze. I have a big file in the name of the journal article. I try to pass them to Google Scholar and see how many testimonials each has.

The strategy I follow here is:

  1. Use "scholar.py", it is a previously written Pyro script that Google Scholar Searches and returns information on the first hit in the CSV format (including the number of quotes)

  2. Google Scholar blocks you after a certain number of searches (About 3000 article titles for my query ) I have found that most people use tow (and) to solve this problem Tow is a service that lets you find random IP every few minutes to do.

    I have successfully set up and working both scholar.py and tor I am not very familiar with dragon or library urllib2 and am surprised that for scholar.py What changes need to be made so that questions can be made through Tor.

    I also approach an easy (and potentially quite different) large scale Google Scholar questions if one exists.

    Thank you in advance

    The best way to use Tor.

    See.

Comments

Popular posts from this blog

Python SQLAlchemy:AttributeError: Neither 'Column' object nor 'Comparator' object has an attribute 'schema' -

java - How not to audit a join table and related entities using Hibernate Envers? -

mongodb - CakePHP paginator ignoring order, but only for certain values -