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pythonrgoogle-scholar

Extract Google Scholar results using Python (or R)

I'd like to use python to scrape google scholar search results. I found two different script to do that, one is gscholar.py and the other is scholar.py (can that one be used as a python library?).

Now, I should maybe say that I'm totally new to python, so sorry if I miss the obvious!

The problem is when I use gscholar.py as explained in the README file, I get as a result

query() takes at least 2 arguments (1 given).

Even when I specify another argument (e.g. gscholar.query("my query", allresults=True), I get

query() takes at least 2 arguments (2 given).

This puzzles me. I also tried to specify the third possible argument (outformat=4; which is the BibTex format) but this gives me a list of function errors. A colleague advised me to import BeautifulSoup and this before running the query, but also that doesn't change the problem. Any suggestions how to solve the problem?

I found code for R (see link) as a solution but got quickly blocked by google. Maybe someone could suggest how improve that code to avoid being blocked? Any help would be appreciated! Thanks!

Solution

  • I suggest you not to use specific libraries for crawling specific websites, but to use general purpose HTML libraries that are well tested and has well formed documentation such as BeautifulSoup.

    For accessing websites with a browser information, you could use an url opener class with a custom user agent:

    from urllib import FancyURLopener
class MyOpener(FancyURLopener):
    version = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/33.0.1750.152 Safari/537.36'
openurl = MyOpener().open

    And then download the required url as follows: 

    openurl(url).read()

    For retrieving scholar results just use http://scholar.google.se/scholar?hl=en&q=${query} url.

    To extract pieces of information from a retrieved HTML file, you could use this piece of code:

    from bs4 import SoupStrainer, BeautifulSoup
page = BeautifulSoup(openurl(url).read(), parse_only=SoupStrainer('div', id='gs_ab_md'))

    This piece of code extracts a concrete div element that contains number of results shown in a Google Scholar search results page.