Metadata-Version: 2.1
Name: scholarly
Version: 0.2.5
Summary: Simple access to Google Scholar authors and citations
Home-page: https://github.com/OrganicIrradiation/scholarly
Author: Steven A. Cholewiak
Author-email: steven@cholewiak.com
License: Unlicense
Download-URL: https://github.com/OrganicIrradiation/scholarly/tarball/v0.2.5
Keywords: Google Scholar,academics,citations
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
Requires-Dist: arrow
Requires-Dist: beautifulsoup4
Requires-Dist: bibtexparser
Requires-Dist: requests[security]

# scholarly
scholarly is a module that allows you to retrieve author and publication information from [Google Scholar](https://scholar.google.com) in a friendly, Pythonic way.


## Usage
Because `scholarly` does not use an official API, no key is required. Simply:

```python
import scholarly

print(next(scholarly.search_author('Steven A. Cholewiak')))
```

### Methods
* `search_author` -- Search for an author by name and return a generator of Author objects.

```python
>>> search_query = scholarly.search_author('Marty Banks, Berkeley')
>>> print(next(search_query))
{'_filled': False,
 'affiliation': 'Professor of Vision Science, UC Berkeley',
 'citedby': 17758,
 'email': '@berkeley.edu',
 'id': 'Smr99uEAAAAJ',
 'interests': ['vision science', 'psychology', 'human factors', 'neuroscience'],
 'name': 'Martin Banks',
 'url_picture': 'https://scholar.google.com/citations?view_op=medium_photo&user=Smr99uEAAAAJ'}
```

* `search_keyword` -- Search by keyword and return a generator of Author objects.

```python
>>> search_query = scholarly.search_keyword('Haptics')
>>> print(next(search_query))
{'_filled': False,
 'affiliation': 'Stanford University',
 'citedby': 31731,
 'email': '@cs.stanford.edu',
 'id': '4arkOLcAAAAJ',
 'interests': ['Robotics', 'Haptics', 'Human Motion Understanding'],
 'name': 'Oussama Khatib',
 'url_picture': 'https://scholar.google.com/citations?view_op=medium_photo&user=4arkOLcAAAAJ'}
```

* `search_pubs_query` -- Search for articles/publications and return generator of Publication objects.

```python
>>> search_query = scholarly.search_pubs_query('Perception of physical stability and center of mass of 3D objects')
>>> print(next(search_query))
{'_filled': False,
 'bib': {'abstract': 'Humans can judge from vision alone whether an object is '
                     'physically stable or not. Such judgments allow observers '
                     'to predict the physical behavior of objects, and hence '
                     'to guide their motor actions. We investigated the visual '
                     'estimation of physical stability of 3-D objects (shown '
                     'in stereoscopically viewed rendered scenes) and how it '
                     'relates to visual estimates of their center of mass '
                     '(COM). In Experiment 1, observers viewed an object near '
                     'the edge of a table and adjusted its tilt to the '
                     'perceived critical angle, ie, the tilt angle at which '
                     'the object …',
         'author': 'SA Cholewiak and RW Fleming and M Singh',
         'eprint': 'http://jov.arvojournals.org/article.aspx?articleid=2213254',
         'title': 'Perception of physical stability and center of mass of 3-D '
                  'objects',
         'url': 'http://jov.arvojournals.org/article.aspx?articleid=2213254'},
 'citedby': 14,
 'id_scholarcitedby': '15736880631888070187',
 'source': 'scholar',
 'url_scholarbib': 'https://scholar.googleusercontent.com/scholar.bib?q=info:K8ZpoI6hZNoJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAXGSbUf67ybEFA3NEyJzRusXRbR441api&scisf=4&ct=citation&cd=0&hl=en'}
```


### Example
Here's a quick example demonstrating how to retrieve an author's profile then retrieve the titles of the papers that cite his most popular (cited) paper.

```python
# Retrieve the author's data, fill-in, and print
search_query = scholarly.search_author('Steven A Cholewiak')
author = next(search_query).fill()
print(author)

# Print the titles of the author's publications
print([pub.bib['title'] for pub in author.publications])

# Take a closer look at the first publication
pub = author.publications[0].fill()
print(pub)

# Which papers cited that publication?
print([citation.bib['title'] for citation in pub.get_citedby()])
```


## Installation
Use `pip` to install from pypi:

```bash
pip install scholarly
```

or `pip` to install from github:

```bash
pip install git+https://github.com/OrganicIrradiation/scholarly.git
```

or clone the package using git:

```bash
git clone https://github.com/OrganicIrradiation/scholarly.git
```


## Requirements
Requires [arrow](http://crsmithdev.com/arrow/), [Beautiful Soup](https://pypi.python.org/pypi/beautifulsoup4/), [bibtexparser](https://pypi.python.org/pypi/bibtexparser/), and [requests[security]](https://pypi.python.org/pypi/requests/).


## License
The original code that this project was forked from was released by [Bello Chalmers](https://github.com/lbello/chalmers-web) under a [WTFPL](http://www.wtfpl.net/) license. In keeping with this mentality, all code is released under the [Unlicense](http://unlicense.org/).


