stylegan2-projecting-images VS TWINT

A Colab notebook.

To play with the dataset, we first must create a Jupyter notebook, a powerful and popular tool among data engineers. I created mine on Google Colab.

Please head over to the Google Colab

But regardless of what you want to do, you'll probably use Python. In this context, a good way to work with Python is using Jupyter Notebooks. So you should start with installing Python and Jupyter and go from there. If you want to get started without installing anything, Google Colab gives you a remote Jupyter Notebook which runs in the browser for free.

访问 Google Colab 。

Remember school days when you'd share notes with classmates? Jupyter takes that spirit and amplifies it. Once you've crafted your Notebook, you can share it with peers, collaborators, and the world. Platforms like GitHub and Google's Colab natively render Jupyter Notebooks. It's like penning an open letter to the world but in a delightful mix of code, text, and visuals.

Open your web browser and navigate to Google Colab.

Using Google Colab you can develop Python codes, similar to Jupyter Notebooks. You will have an environment prepared with various Python libraries. In addition you have tips on small codes for development, some tutorials, gihub connection, cloud -saved notebooks and more.

twint is a project that can scrape twitter data via the webpages rather than the twitter API, which means that it can get more than the last 3200 tweets of an account. Unfortunately it seems that the repo was archived and is no longer in development, so I'm not sure if it even still works. It's also a bit heavy on dependencies and is written in Python, neither of which make it easier to install and use.

The tool doesn't work anymore since Twitter changed its APIs, but a good example is twint. Most people in OSINT are not highly technical and don't know their way around a CLI. On the other hand, a CLI tool is one of the quickest, lowest (dev) cost ways to release a tool to the public, and many developers who build tools for the OSINT community do so for free (open source).

You can try twint which is extensive and should be able to do that. Another is via this twitter downloader but might require multiple runs depending on what you want to archive.

They do have examples that don't specify a username such as number 3 on this page or this one on the main page: "twint -g="48.880048,2.385939,1km" -o file.csv --csv - Scrape Tweets from a radius of 1km around a place in Paris and export them to a csv file."

This will motivate researchers to web scrape to circumvent these restrictions. Twint can scrape tweets and it supports proxies. It can also be multi threaded. A huge hassle and it's prone to breaking when the site changes.

The comment I saw said they used this: https://github.com/twintproject/twint