Skip to content

Latest commit

 

History

History
65 lines (42 loc) · 2.36 KB

README.md

File metadata and controls

65 lines (42 loc) · 2.36 KB
Raw

Wayback Tweets

PyPI DOI Streamlit App Open In Collab

Retrieves archived tweets CDX data from the Wayback Machine, performs necessary parsing (see Field Options), and saves the data in HTML, for easy viewing of the tweets using the iframe tags, CSV, and JSON formats.

Installation

pip install waybacktweets

Quickstart

Using Wayback Tweets as a standalone command line tool

waybacktweets [OPTIONS] USERNAME

waybacktweets --from 20150101 --to 20191231 --limit 250 jack

Using Wayback Tweets as a Web App

Open the application, a prototype written in Python with the Streamlit framework and hosted on Streamlit Cloud.

Using Wayback Tweets as a Python Module

from waybacktweets import WaybackTweets, TweetsParser, TweetsExporter

USERNAME = "jack"

api = WaybackTweets(USERNAME)
archived_tweets = api.get()

if archived_tweets:
    field_options = [
        "archived_timestamp",
        "original_tweet_url",
        "archived_tweet_url",
        "archived_statuscode",
    ]

    parser = TweetsParser(archived_tweets, USERNAME, field_options)
    parsed_tweets = parser.parse()

    exporter = TweetsExporter(parsed_tweets, USERNAME, field_options)
    exporter.save_to_csv()

Documentation

Acknowledgements

  • Tristan Lee (Bellingcat's Data Scientist) for the idea of the application.
  • Jessica Smith (Snowflake's Community Growth Specialist) and Streamlit/Snowflake team for the additional server resources on Streamlit Cloud.
  • OSINT Community for recommending the application.

Note

If the Streamlit application is down, please check the Streamlit Cloud Status.