This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Latest Version Dependencies status unknown Test status unknown Test coverage unknown
Project Description
# dblp-pub
A scraper that downloads search results from DBLP. You can search for any list of keywords.

Scraping dblp is allowed by them and they even offer an API for it. The API, however, is restricted to the search for authors.
This is why I wrote this scraper, which allows you to also search for publications.

## Installation

Just type "pip install dblp-pub" in your terminal and it will get installed. You can also clone this repository and type "python install" after switching to the downloaded folder.

## How to use it?

After importing it, you can use the search()-function to search in dblp for any array of key words. The result will be a pandas DataFrame.

## Example

Imagine you are interested research in Collaborative Writing and want to evaluate which conferences people who write about it publish to.
With this library you get a table for every search request, so you can easily compare results. Below is an example for one of these tables
and the lookup for the search phrase "Collaborative Writing".

import dblp-pub as dblp

results =["Collaborative Writing"])

The Code above yields the following results:

|Authors | Link | Title |Type | Where |Year |
| [Lekha Limbu, Lina M...||How do learners experience join...|article |Compute...|2015 |
| [Sebastian Gehrmann,...||Deploying AI Methods to Support...|inproceedings|CHI Ext...|2015 |
| [Dakuo Wang, Judith ...||DocuViz: Visualizing Collaborat...|inproceedings|CHI |2015 |
| [Oluwabunmi Adewoyin...||Exploiting the Use of Wikis to ...|inproceedings|CRIWG |2015 |
| [Menghui Li, Young M...||An Exploration of Mobile Collab...|inproceedings|HCI (24...|2015 |

Now imagine, you want to look for the papers with "AI" in the title. You can easily do that using pandas:


Given the search query above, this yield one paper with the following link:

## Licence

This code is published under the MIT licence. Feel free to improve and redistribute my code. I hope I made your life a little bit easier.
Release History

Release History


This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
dblp-0.1.0-py2-none-any.whl (5.4 kB) Copy SHA256 Checksum SHA256 2.7 Wheel Sep 25, 2015
dblp-0.1.0.tar.gz (3.3 kB) Copy SHA256 Checksum SHA256 Source Sep 25, 2015

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