Twitter / X Data Scraper
01. Overview
A Python-based command-line tool that uses Selenium to scrape tweets from Twitter/X — by user profile, hashtag, or search query. Supports flexible authentication, configurable tweet limits, advanced search queries, and CSV export of scraped data.
The Objective
To build a flexible, authenticated CLI tool for scraping and exporting tweet data from Twitter/X for research, social media analysis, and data collection use cases.
The Outcome
A fully functional scraper supporting user, hashtag, and query-based scraping with configurable limits, additional data fields, and structured CSV output.
02. Stack Architecture
03. Key Features
Scrape tweets by user profile, hashtag, or search query
Flexible authentication: CLI args, .env file, or interactive prompt
Configurable tweet limit (default 50, or unlimited)
Support for latest and top tweet sorting
Advanced search query support (matches Twitter's advanced search syntax)
CSV export with optional poster metadata (followers, following)
04. Engineering Pipeline
Set up Selenium with ChromeDriver for browser automation
Designed the CLI interface using argparse with multiple authentication and scraping options
Implemented user profile, hashtag, and query-based scraping modes
Added CSV export with optional extended data fields (poster followers/following)
05. Challenges & Execution
The Constraint
Handling Twitter's dynamic, JavaScript-rendered content reliably with Selenium
The Execution
Used Selenium WebDriver with explicit waits to reliably handle dynamic page rendering.
The Constraint
Designing a flexible authentication system supporting environment variables, CLI args, and interactive prompts
The Execution
Built a tiered authentication system: CLI args → .env variables → interactive prompt fallback.
The Constraint
Implementing rate-limit-aware scraping without triggering account bans
The Execution
Added configurable tweet limits and optional no-limit mode for large-scale data collection.