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...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.

...The crawler periodically retrieves pandemic statistics and stores them in a database so that historical changes in the outbreak can be preserved and analyzed later. It was created to make up-to-date infection data more accessible for developers, researchers, and analysts who wanted to build visualizations or conduct data analysis during the early stages of the pandemic. DXY-COVID-19-Crawler automatically crawls data at regular intervals, typically every minute, ensuring that newly published statistics are captured as quickly as possible. ...

...Going from raw HTML to essential parts can alleviate many problems related to text quality, first by avoiding the noise caused by recurring elements (headers, footers, links/blogroll etc.) and second by including information such as author and date in order to make sense of the data. The extractor tries to strike a balance between limiting noise (precision) and including all valid parts (recall). It also has to be robust and reasonably fast, it runs in production on millions of documents.

Automate the download of entire Twitch.tv channels with its metadata. Save each Twitch video into its own folder, with date and time values, video ID, stream metadata, frame screenshot, .ts parts list and sha256 hash. Keep the original ts files and generate mp4 files from them. It requires a shell and some command line utilities. See README.md for details in the Code/git section.

OpenSERP is a free self-hosted open-source SERP API & CLI with live browser-rendered search and content extraction for AI, SEO & automation. Use it as a search tool for LLMs, agents, and RAG pipelines, or as a scraper backend for SEO rank tracking across Google, Yandex, Baidu, and more. It is especially useful when your workflow needs RU/CN web coverage instead of another Google-only API.

Please do not distribute with the goal of selling my program. How to attach to your Chrome/Edge/Brave etc Browser: 1. Download the extension(rapidreference.zip) 2. Extract 3. Go to chrome://extensions if on Chrome, or navigate to your extension management setting in your browser 4. Enable developer mode (usually top right) 5. Add unpacked extension 6. Choose the extracted extension's folder 7. There you go! How to use: 1. Start a session in the panel of the...

A simple (and unofficial) GitHub Trending client that lives in your menubar. Raise is a simple extension for GitHub Trending you can use to browse trending repositories and developers at any time. Raise is an open-source project so if you have any problems, feel free to submit an issue on GitHub! Raise is developed on Node.js v16. Other Node.js versions have not been tested.

A project written in Python for Twitter tracking and analysis without using Twitter API. This project is a Python 3.x application. The package dependencies are in the file requirements.txt. Run that command to install the dependencies. SQLite is used as the database. Tweet data is stored on the Tweet, User, Location, Hashtag, HashtagTweet tables. The database is created automatically. analysis.py performs analysis processing. User, hashtag, and location analyzes are performed. You must write...