twitterxscraper 1.1.5

A Python CLI tool for scraping public X (Twitter) profile tweets using Playwright and exporting structured results to a CSV file without requiring API keys.

TwitterXScraper

A Python CLI tool for scraping public X (Twitter) profile tweets using Playwright and exporting structured results to a CSV file without requiring API keys.

Why this exists

I needed a simple way to pull public tweets from X without using the official API, managing authentication tokens, or dealing with rate limits.

So I wrote this CLI tool that accepts a username, opens a Chromium browser using Playwright, scrolls a profile dynamically, extracts tweet text and timestamps, and exports everything into a CSV file.

Features

• Scrape public tweets from any username
• Automatically scroll to load more tweets
• Extract clean tweet text
• Extract timestamps
• Save results to CSV
• Headless and headful modes
• Configurable tweet limit
• No API keys required
• No authentication

How It Works

The scraper launches a Chromium browser using Playwright, navigates to a public X profile, waits for dynamic content to load, scrolls to trigger additional tweet loading, and extracts structured data from the DOM.

Installation

pip install twitterxscraper
python -m playwright install chromium

Clone this repository

git clone https://github.com/calchiwo/twitterxscraper.git
cd twitterxscraper

Install dependencies.

python -m pip install -e .
python -m playwright install chromium

Usage

Run the CLI and pass a username:

twitterxscraper <username>

Example:

twitterxscraper elonmusk

This creates a CSV file named after the username: <username>.csv.

Set tweet limit:

twitterxscraper <username> --limit 15

Example:

twitterxscraper elonmusk --limit 15

Run in a visible browser mode (debugging)

twitterxscraper <username> --headful

Run as a module

You can also run it using:

python -m twitterxscraper <username>

Show installed version

Prints the installed package version.

twitterxscraper --version

Output

The scraper exports a CSV file with the following columns:

• username
• text
• timestamp

Exit Codes

• 0 → Successful scrape
• 1 → No tweets found or validation error

Using it in your own code

You can also run directly as a Python class.

from twitterxscraper import TwitterScraper

scraper = TwitterScraper()
tweets = scraper.scrape_user("<username>", limit=10)

print(tweets)

Requirements

• Python 3.8+
• Chromium browser installed via python -m playwright install chromium
• macOS, Linux, and Windows

Limitations

• Only works on public profiles
• No login support
• No private accounts
• May break if X changes layout
• Uses a Chromium browser with Playwright
• X is a dynamic platform so layout changes may require selector updates
• Scraping behavior may vary depending on network conditions and X's anti-bot mechanisms

Tech stack used

• Python
• Playwright
• Pandas
• Rich (CLI formatting)

Disclaimer

This project is intended for educational and research purposes only.

Respect platform terms of service and applicable laws. Use responsibly.

License

MIT

Author

Caleb Wodi