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https://github.com/oztalha/dd-css
Twitter Data Exporter
https://github.com/oztalha/dd-css
Last synced: about 2 months ago
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Twitter Data Exporter
- Host: GitHub
- URL: https://github.com/oztalha/dd-css
- Owner: oztalha
- License: mit
- Created: 2014-07-13T14:19:02.000Z (about 10 years ago)
- Default Branch: master
- Last Pushed: 2015-03-12T22:49:49.000Z (over 9 years ago)
- Last Synced: 2024-07-27T06:38:02.159Z (about 2 months ago)
- Language: Python
- Homepage: http://dd-css.com
- Size: 602 KB
- Stars: 11
- Watchers: 4
- Forks: 5
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# DD-CSS
---------
## Data-driven Computational Social Science[DD-CSS](http://dd-css.com) is an open source web application that helps collecting data from social media platforms such as Twitter, and analyze them.
It is powered by Flask, a highly modular microframework for Python.
DD-CSS is initiated by [Talha Oz][toz].In this project I highly benefitted from the books [Mining the Social Web](https://github.com/ptwobrussell/Mining-the-Social-Web-2nd-Edition) and [Flask Web Development](https://github.com/miguelgrinberg/flasky).
## Features
-----------
* Obtain an OAuth access token on behalf of a Twitter user
* Get the friends/followers list of a user as JSON/CSV file
* Get last 3200 tweets of a user in JSON/CSV format
* Get IDs as well as many other information on the members of a Twitter list in JSON/CSV format## Installation
---------------
### MongoDB
After installing MongoDB, there is no need to create db or collection. The only configuration is to ensure indexing.
* Index the queries by db.queries.ensureIndex({username:1, created_time:1, qname:1})
[toz]: http://talhaoz.com