Scweet download for Linux

This is the Linux app named Scweet whose latest release can be downloaded as Scweet5.5.0--asearchworksagainsourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.

 
 

Download and run online this app named Scweet with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.

- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application, install it and run it.

SCREENSHOTS:


Scweet


DESCRIPTION:

Scweet is a Python-based Twitter/X scraping library and CLI designed to collect tweets, profile timelines, followers, following lists, and user profile data without requiring the official Twitter/X API or a developer account. Instead of depending on deprecated unauthenticated scraping methods, it works by using X’s web GraphQL API together with authenticated browser cookies, which gives it a more current and practical approach for data extraction. The project supports a broad set of collection patterns, including searches by keyword, hashtag, user, date range, engagement thresholds, language, and location, making it useful for research, monitoring, and data gathering workflows. It is built for both local use and higher-volume runs, with support for proxies, dedicated accounts, and multi-account cookie handling to improve reliability at scale. Scweet also includes asynchronous method variants, a command-line interface, automatic credential persistence in a local database, etc.



Features

  • Scrapes tweets, profiles, followers, and following without the official API
  • Uses X web GraphQL endpoints with authenticated cookies
  • Supports keyword, hashtag, date, engagement, language, and location filters
  • Includes async methods for higher-throughput workflows
  • CLI support for scriptable local scraping
  • Proxy and multi-account handling for scaled collection


Programming Language

Python


Categories

Web Scrapers

This is an application that can also be fetched from https://sourceforge.net/projects/scweet.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.



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