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<!DOCTYPE html>
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<title>Retrieving your Google Scholar data - datawerk</title>
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<span class="entry-title-info">Jan 27 · <a href="https://buhrmann.github.io/category/data-posts.html">Data Posts</a></span>
<h2 class="entry-title entry-title-tight">Retrieving your Google Scholar data</h2>
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<p>For my interactive <span class="caps">CV</span> I decided to try not only to automate the creation of a bibliography of my publications, but also to extend it with a citation count for each paper, which Google Scholar happens to keep track of. Unfortunately there is no Scholar <span class="caps">API</span>. But I figured since my own profile is based on data I essentially donated to Google, it is only fair that I can have access to it too. Hence I wrote a little scraper that iterates over the publications in my Scholar profile, extracts all citations, and bins them per year. That way I can track how many citations each paper had over time. Like this graph, for example:</p>
<figure>
<img src="/images/scholar/citations.png" />
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<p>The source code for the scraper is available <a href="https://github.com/synergenz/datawerk/blob/master/theme/static/py/citations.py">here on github</a>. It uses <a href="http://www.crummy.com/software/BeautifulSoup/">Beautiful Soup</a> for the html parsing. Note that it deliberately runs very slowly (waits a random amount of time between page loads), because otherwise Google will notice the scraping attempt and will lock your <span class="caps">IP</span> out, at least for a while (it happened to me initially). Feel free to use it to liberate your own Scholar data.</p>
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Published on <span class="published">January 27, 2015</span><br>
Written by <span class="author">Thomas Buhrmann</span><br>
Posted in <span class="label label-default"><a href="https://buhrmann.github.io/category/data-posts.html">Data Posts</a></span>
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